Macau casinos equal post-pandemic revenue record in March – iGaming Business

Gambling revenue in Macau reached MOP19.50bn (1.02bn/2.25bn/$2.42bn) in March, the joint highest monthly total since before the pandemic.

Revenue was 53.1% higher thanMarch last yearand 5.4% ahead of MOP18.49 in Macau in February. The figure also equalled the post-pandemic high of MOP19.50bn that was posted inOctober 2023.

While this is good news for the region, Macaus casinos remain some way behind pre-Covid levels. Before the pandemic started, the Special Administrative Region would regularly produce monthly revenue in the mid MOP20.00bn range.

Revenue has not exceeded MOP20.00bn since January 2020, shortly before the pandemic started and restrictions were imposed.

Looking at the year to date, revenue in the first three months of 2024 reached MOP57.33bn. This is 65.5% ahead of MOP34.64bn at the same point in 2023.

It is also comfortably more than the MOP42.40bn generated inall of 2022. Full-year revenue for 2023 amounted toMOP183.1bn a 333.8% year-on-year increase.

Macau has been free of pandemic-related restrictions since January 2023 after China ended its zero-Covid policy.

This post-pandemic recovery is likely to continue in 2024. Last month, Fitch Ratings affirmed Macaus AA long-term foreign currency Issuer Default Rating (IDR), predicting the regions gaming industry torecover to nearly 80% of pre-pandemic levels in 2024.

Fitch also gave Macau a stable outlook as the regions economy continues to rebound from the pandemic.

Gross gaming revenue is forecast to be around 79.5% of 2019 levels in 2024, compared to 62.6% of pre-pandemic levels in 2023. Fitch is predicting revenue to be 7.6% higher than assumed in the budget.

Several leading Macau casino operators said the decision to remove pandemic measures helped their performances in 2023.

Among these brands isGalaxy Entertainment Group, which reported a 211.0% increase in revenue to HKD35.68bn. This, it said, was driven by the full reopening of the Macau market. Revenue at the Galaxy Macau alone rocketed 274.3% year-on-year in 2023, with gaming revenue here up 312.1%.

Elsewhere,Wynn Resortsalso said that this reopening boosted the business during 2023. Operations in Macau accounted for $3.10bn of all revenue up 329.7% year-on-year. Group revenue was 73.9% higher at $6.53bn.

Furthermore, Fitch pointed to Macaus strong rebound after the pandemic in predicting apositive financial outlook for Wynnin the longer term.

Also benefitting was MGM Resorts International, which reported a 23.7% rise in revenue to $16.20bn for 2023. MGM noted significant growth in Macau, with revenue rocketing 368.1% to $3.15bn.

Last week, MGM CEO and president Bill Hornbuckle attended the China Development Forum alongside a number of leading US executives to discuss the countrys relationship with China.

MGM Resorts International has been proud of our role in supporting US-China relations through increased bilateral travel and tourism, Hornbuckle said in aLinkedIn post. I was honoured to be part of the meeting convened by President Xi to discuss how to use these ties to strengthen the US-China relationship.

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Macau casinos equal post-pandemic revenue record in March - iGaming Business

‘Materially better’ GPT-5 could come to ChatGPT as early as this summer – ZDNet

Leon Neal/Getty Images

OpenAI has released several iterations of the large language model (LLM) powering ChatGPT, including GPT-4 and GPT-4 Turbo. Still, sources say the highly anticipated GPT-5 could be released as early as mid-year.

According to reports from Business Insider, GPT-5 is expected to be a major leap from GPT-4 and was described as "materially better" by early testers. The new LLM will offer improvements that have reportedly impressed testers and enterprise customers, including CEOs who've been demoed GPT bots tailored to their companies and powered by GPT-5.

Also: What does GPT stand for? Understanding GPT 3.5, GPT 4, and more

`A customer who got a GPT-5 demo from OpenAI told BI that the company hinted at new, yet-to-be-released GPT-5 features, including its ability to interact with other AI programs that OpenAI is developing. These AI programs, called AI agents by OpenAI, could perform tasks autonomously.

This feature hints at an interconnected ecosystem of AI tools developed by OpenAI, which would allow its different AI systems to collaborate to complete complex tasks or provide more comprehensive services.

The specific launch date for GPT-5 has yet to be released. OpenAI is reportedly training the model and will conduct red-team testing to identify and correct potential issues before its public release.

Also: 3 ways we tried to outwit AI last week: Legislation, preparation, intervention

It's unclear whether GPT-5 will be released exclusively to Plus subscribers, who pay a $20-a-month fee to access GPT-4. GPT-3.5 powers the free tier of ChatGPT, but anyone can access GPT-4 Turbo in Copilot for free by choosing the Creative or Precise conversation styles.

OpenAI has been the target of scrutiny and dissatisfaction from users amid reports of quality degradation with GPT-4, making this a good time to release a newer and smarter model.

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'Materially better' GPT-5 could come to ChatGPT as early as this summer - ZDNet

GPT-5 might arrive this summer as a materially better update to ChatGPT – Ars Technica

When OpenAI launched its GPT-4 AI model a year ago, it created a wave of immense hype and existential panic from its ability to imitate human communication and composition. Since then, the biggest question in AI has remained the same: When is GPT-5 coming out? During interviews and media appearances around the world, OpenAI CEO Sam Altman frequently gets asked this question, and he usually gives a coy or evasive answer, sometimes coupled with promises of amazing things to come.

According to a new report from Business Insider, OpenAI is expected to release GPT-5, an improved version of the AI language model that powers ChatGPT, sometime in mid-2024and likely during the summer. Two anonymous sources familiar with the company have revealed that some enterprise customers have recently received demos of GPT-5 and related enhancements to ChatGPT.

One CEO who recently saw a version of GPT-5 described it as "really good" and "materially better," with OpenAI demonstrating the new model using use cases and data unique to his company. The CEO also hinted at other unreleased capabilities of the model, such as the ability to launch AI agents being developed by OpenAI to perform tasks automatically.

We asked OpenAI representatives about GPT-5's release date and the Business Insider report. They responded that they had no particular comment, but they included a snippet of a transcript from Altman's recent appearance on the Lex Fridman podcast.

Lex Fridman(01:06:13) So when is GPT-5 coming out again? Sam Altman(01:06:15) I dont know. Thats the honest answer. Lex Fridman(01:06:18) Oh, thats the honest answer. Blink twice if its this year. Sam Altman(01:06:30) We will release an amazing new model this year. I dont know what well call it. Lex Fridman(01:06:36) So that goes to the question of, whats the way we release this thing? Sam Altman(01:06:41) Well release in the coming months many different things. I think thatd be very cool. I think before we talk about a GPT-5-like model called that, or not called that, or a little bit worse or a little bit better than what youd expect from a GPT-5, I think we have a lot of other important things to release first.

In this conversation, Altman seems to imply that the company is prepared to launch a major AI model this year, but whether it will be called "GPT-5" or be considered a major upgrade to GPT-4 Turbo (or perhaps an incremental update like GPT-4.5) is up in the air.

Like its predecessor, GPT-5 (or whatever it will be called) is expected to be a multimodal large language model (LLM) that can accept text or encoded visual input (called a "prompt"). And like GPT-4, GPT-5 will be a next-token prediction model, which means that it will output its best estimate of the most likely next token (a fragment of a word) in a sequence, which allows for tasks such as completing a sentence or writing code. When configured in a specific way, GPT models can power conversational chatbot applications like ChatGPT.

OpenAI launched GPT-4 in March 2023 as an upgrade to its most major predecessor, GPT-3, which emerged in 2020 (with GPT-3.5 arriving in late 2022). Last November, OpenAI released GPT-4 Turbo, which lowered inference (running) costs of OpenAI's best AI model dramatically but has been plagued with accusations of "laziness" where the model sometimes refuses to answer prompts or complete coding projects as requested. OpenAI has attempted to fix the laziness issue several times.

LLMs like those developed by OpenAI are trained on massive datasets scraped from the Internet and licensed from media companies, enabling them to respond to user prompts in a human-like manner. However, the quality of the information provided by the model can vary depending on the training data used, and also based on the model's tendency to confabulate information. If GPT-5 can improve generalization (its ability to perform novel tasks) while also reducing what are commonly called "hallucinations" in the industry, it will likely represent a notable advancement for the firm.

According to the report, OpenAI is still training GPT-5, and after that is complete, the model will undergo internal safety testing and further "red teaming" to identify and address any issues before its public release. The release date could be delayed depending on the duration of the safety testing process.

Of course, the sources in the report could be mistaken, and GPT-5 could launch later for reasons aside from testing. So, consider this a strong rumor, but this is the first time we've seen a potential release date for GPT-5 from a reputable source. Also, we now know that GPT-5 is reportedly complete enough to undergo testing, which means its major training run is likely complete. Further refinements will likely follow.

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GPT-5 might arrive this summer as a materially better update to ChatGPT - Ars Technica

GPT-5 is ChatGPT’s next big upgrade, and it could be here very soon – Android Authority

Calvin Wankhede / Android Authority

TL;DR

OpenAIs ChatGPT has taken the world by storm, highlighting how AI can help with mundane tasks and, in turn, causing a mad rush among companies to incorporate AI into their products. GPT is the large language model that powers ChatGPT, with GPT-3 powering the ChatGPT that most of us know about. OpenAI has then upgraded ChatGPT with GPT-4, and it seems the company is on track to release GPT-5 too very soon.

According to a report from Business Insider, OpenAI is on track to release GPT-5 sometime in the middle of this year, likely during summer. Some enterprise customers are said to have received demos of the latest model and its related enhancements to ChatGPT, and they mention it to be really good, like materially better. These enterprise customers were showcased in a demo by OpenAI, which included use cases and data unique to the company.

Further, OpenAI is also said to have alluded to other as-yet-unreleased capabilities of the model, including the ability to call AI agents being developed by OpenAI to perform tasks autonomously.

The report clarifies that the company does not have a set release date for the new model and is still training GPT-5. Once training is complete, the model will be safety-tested internally. This includes red teaming the model, where it would be challenged in various ways to find issues before the tool is made available to the public. The safety testing has no specific timeframe for completion, so the process could potentially delay the release date.

The last major update to ChatGPT was a year ago with GPT-4. GPT-4 is faster and more accurate in its responses than GPT-3. The company also launched GPT-4 Turbo, which was made available to ChatGPT Plus subscribers. Before this report, GPT-5 was expected to take a while to train, develop, and test, potentially not releasing before 2025. The report gives us hope for an expedited release timeframe.

The report mentions that OpenAI hopes GPT-5 will be more reliable than previous models. Users have complained of GPT-4 degradation and worse outputs from ChatGPT, possibly due to degradation of training data that OpenAI may have used for updates and maintenance work.

In a recent interview with Lex Fridman, OpenAI CEO Sam Altman commented that GPT-4 kind of sucks when he was asked about the most impressive capabilities of GPT-4 and GPT-4 Turbo. He clarified that both are amazing, but people thought GPT-3 was also amazing, but now it is unimaginably horrible. Altman expects the delta between GPT-5 and 4 will be the same as between GPT-4 and 3. Altman commented, Maybe [GPT] 5 will be the pivotal moment, I dont know. Hard to say that looking forward. Were definitely looking forward to what OpenAI has in store for the future.

What are your expectations from GPT-5 and ChatGPT-5? What would you like to see improved? Let us know your thoughts in the comments below!

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GPT-5 is ChatGPT's next big upgrade, and it could be here very soon - Android Authority

Don’t think of our AI future as humans vs. machines. Instead, consider these possibilities – Fox News

NEWYou can now listen to Fox News articles!

Imagine standing in a field over a century ago, a farmer in the 1800s, at a time when the worlds population had just crested one billion people. What if someone had told you that, by the year 2000, 95% of farm and agricultural labor would be replaced by machines and those machines would feed an additional seven billion people? What would you have thought about that prediction?

Fast-forward to today, and similar predictions are being made about artificial intelligence (AI) and its impact on knowledge work. The difference is that now the time frame isnt 200 years but 20.

The thought ofAIreplacing human intellect and creativity in the workforce can indeed be unsettling. But, is this fear truly warranted, or are we on the cusp of a collaborative revolution that could amplify human innovation and creativity?

The apprehension thatAIwill replace human jobs mirrors past fears during significant technological shifts. (Reuters/Dado Ruvic/Illustration/File Photo)

The apprehension thatAIwill replace human jobs mirrors past fears during significant technological shifts. Yet,history has shown us that technology often creates more opportunities than it displaces.

WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

The introduction of machinery in agriculture, for instance, didn't lead to the end of human labor; instead, it transformed it, enabling greater productivity and feeding billions more people.

So, why viewAI's role in the future of work with trepidation rather than optimism? Simply put, because we wont have the time to retrain all the workers that are replaced.

But what if we were thinking about this all wrong? What ifAIisnt a replacement but a means of amplifying human potential?

The conversation aroundAItoday is all too often framed in terms of replacement rather than augmentation and amplification. This perspective is a relic of industrial-era thinking, which doesn't apply to the nuanced waysAIcan complement human capabilities.

AI, particularly in forms like GenerativeAI, is not just about automating tasks but enhancing human creativity and efficiency. Companies like OpenAI, Google and Microsoft are pioneering this frontier, developingAIthat can write, create art, and even generate video content from text descriptions.

AI WILL CHANGE WORK LIKE THE INTERNET DID. THAT'S EITHER A PROBLEM OR AN OPPORTUNITY

This isn't about machines taking over; it's about machines enabling us to reach new heights of creativity and innovation.

Consider the rapid adoption ofAItechnologies. OpenAI's ChatGPT reached over 100 million users in just two months, a testament to the technology's appeal and potential. This enthusiasm forAIisn't just about novelty; it's a recognition of its ability to augment human capabilities in unprecedented ways.

Yet, the question remains: WillAIdisplace knowledge workers? The answer is nuanced. Yes,AIwill automate certain tasks, potentially displacing some jobs. By some estimates,AIwill be able to accomplish about 50% of knowledge work within 10 years.

However, this is only part of the story. The gap between wage growth and productivity in knowledge work has been widening, not solely because of technology, but also due to a failure to fully leverage technology to augment human work.

ARTIFICIAL INTELLIGENCE IS BIG, BUT ARE COMPANIES HIRING FOR AI ROLES TOO FAST?

Knowledge workers spend a significant portion of their time coordinating disparate technologies, a task thatAIcould streamline, freeing humans to focus on more creative and strategic endeavors, rather than playing the game of spinning plates with the vast array of technologies they need to orchestrate and coordinate today.

Rather than this being a fight to the death between humans and.AI, what about an approach in whichAIcreates a multiplier effect that amplifies the value of human innovation and creativity?

The fear thatAIwill render human workers obsolete overlooks the potential for new value creation. Just as the mechanization of agriculture led to new industries and opportunities,AI's impact on knowledge work will likely spawn new realms of employment and innovation.

For example, in health care,AIcould alleviate the administrative burden on physicians, allowing them more time for patient care, ultimately improving outcomes and reducing costs. Today, primary care docs spend about half their time dealing with myriad administrative issues, from medical records to insurance claims.

HOW TO USE AI TO HELP YOU GET A BETTER JOB INSTEAD OF IT STEALING ONE

And yet, we know that a primary care doctor is among the greatest variable in reducing health care costs and increasing positive outcomes. Imagine what that would translate into if doctors had 50 percent more time to spend with patients.

The narrative thatAIwill simply replace human jobs is overly simplistic and ignores the broader potential forAIto enhance human work. The integration ofAIinto knowledge work promises to not only increase productivity but also to open up new avenues for human creativity and innovation. The real challenge lies not in competing withAIbut in leveraging it to augment our own capabilities.

As we stand on the brink of thisAI-driven era, it's crucial to shift our perspective from one of fear to one of opportunity. The question we should be asking is not whetherAIwill replace us but how we can useAIto become better at what we do. The potential forAIto amplify human innovation and creativity is immense, provided we approach this new frontier with openness and adaptability.

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The rise ofAIin the workplace is not a harbinger of obsolescence for human workers but a call to action to redefine the nature of work itself. By embracingAIas a collaborative partner, we can unlock new levels of creativity and innovation, propelling humanity forward in ways we have yet to imagine.

The future of work is not about humans versus machines but about how we can work alongsideAIto create a world where technology amplifies human potential. Let's not view the future with apprehension but with the excitement and optimism it deserves.

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Nathaniel Palmer is a pioneer in automation and digital transformation, serving as Chief Architect for some of the largest and most complex initiatives across government and private industry. He is the co-author of Gigatrends:Six Forces That Are Changing the Future for Billions.

ThomasKoulopoulosis chairman and founder of Delphi Group, a 30-year-old Boston-based think tank thatfocuses on disruptive technology innovation. He is also the founding partner of Acrovantage Ventures(which invests in early-stage technology startups), the author of 13 books, the past executive director of the Babson College Center for Business Innovation, and a professor at Boston University.

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Don't think of our AI future as humans vs. machines. Instead, consider these possibilities - Fox News

AI could make the four-day workweek inevitable – BBC.com

By Elizabeth BennettFeatures correspondent

As artificial intelligence gains traction in office operations, some companies are giving employees a day to step back.

Working four days while getting paid for five is a dream for many employees. Yet the dramatic shifts in the pandemic-era workplace have turned this once unfathomable idea into a reality for some workers. And as more global data emerges, an increasing number of companies are courting the approach after positive trial-run results across countries including the UK, Iceland, Portugal and more.

Now, as pilots continue in Germany, a trial of 45 companies has just begun , for instance another factor has entered the mix. Artificial intelligence (AI) is gathering pace in the workplace, and some experts believe it could accelerate the adoption of the four-day workweek.

Data from London-based news-and-events resource Tech.co collected in late 2023 lends credence to this idea. For their 2024 Impact of Technology on the Workplace, the company surveyed more than 1,000 US business leaders. The researchers found 29% of organisations with four-day workweeks use AI extensively in their firms' operations, implementing generative AI tools such as ChatGPT as well as other programmes to streamline operations. In comparison, only 8% of five-day working week organisations use AI to this extent. And 93% of businesses using AI are open to a four-day work week, whereas for those who don't, fewer than half are open to working shorter weeks.

At London-based digital design agency Driftime, adopting AI technology has been crucial to enable the business to operate a flexible four-day work week. "By handing over simple tasks to AI tools, we gain invaluable time previously lost to slow aspects of the process," says co-founder Abb-d Taiyo. "With tools like Modyfi, the graphics are all live and modifiable, making it so much easier and quicker for our designers to create concepts and ideas."

Taiyo believes it makes sense for both his employees and his bottom line to work the condensed week. "Instead of a dip in the quantity of work created over just four days, we've seen a remarkably high quality of work matched by a high staff satisfaction return. The health and happiness of our team is in direct correlation to the high standard of work produced," he says.

Shayne Simpson, group managing director of UK-based TechNET IT Recruitment, also believes AI has been fundamental to the success of the company's four-day work week policy. The firm has found AI tools save each of their recruitment consultants 21 hours per week, primarily by automating previously manual tasks like data input, confirmation emails, resume screening and candidate outreach. This has reduced the time to fill permanent roles at the company by an average of 10 days. "This timesaving allows our team to achieve their weekly goals earlier in the week and the flexibility liberates our consultants from being tethered to their desks, enabling them to enjoy a well-deserved Friday off," says Simpson.

Not only has the company's abridged workweek boosted productivity and morale, Simpson says it's also been key to attracting talent to work within the company itself. "Seasoned recruitment professionals are enticed by our streamlined processes while entry-level talent is eager to embrace new tools." It's lifted the entire business, he adds.

While AI tools are certainly paving the way for a four-day work week within some industries, the technology can't usher in the change alone. Organisational culture within a business is also fundamental, says Na Fu, a professor in human resource management at Trinity Business School, Ireland. "An openness to innovative work structures, an experimental mindset and, importantly, a culture grounded in high levels of trust are all important for the four-day work week to be successfully adopted," she says.

As the digital transformation with AI progresses, employees themselves also must be willing to level up, she adds: "Rather than becoming mere caretakers or servants of machines, human workers need to develop new skills that can leverage, complement and lead AI, achieving the enhanced outcomes."

Some industries will benefit from AI more than others, however notably those who are able to use generative AI tools for such tasks including software development, content creation, marketing and legal services, says Fu. Plus, artificial intelligence development still has a way to go if it is to substantially reduce human working hours across the board.

What may drive the shift to a four-day workweek in an AI-powered business landscape may not ultimately be up to the robots, however. Executive buy-in is required, and whether leaders will embrace the unconventional concept will vary depending on a firm's overarching purpose and values, says Fu. Instead of letting AI supplement the work of humans, for instance, some businesses could use it to automate certain tasks while piling other work on employees to fill newly open hours.

Still, despite some reservation, an increasing number of business leaders including those from some of the world's highest-earning companies see a technology-driven shortened workweek as an inevitable future. In October 2023, JPMorgan Chase & Co CEO Jamie Dimon told Bloomberg TV: "Your children are going to live to 100, and they'll probably be working three-and-a-half days a week." Employees will have to wait and see.

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AI could make the four-day workweek inevitable - BBC.com

Democratic operative admits to commissioning Biden AI robocall in New Hampshire – The Washington Post

A longtime Democratic consultant working for a rival candidate admitted that he commissioned the artificial intelligence-generated robocall of President Biden that was sent to New Hampshire voters in January and triggered a state criminal investigation.

Steve Kramer, who worked for the long-shot Democratic presidential candidate Dean Phillips, said in a phone interview with The Washington Post that he sent out the AI-generated robocall telling voters to not vote to just under 5,000 people listed as most likely Democrats to vote in the New Hampshire primary, marking one of the first major uses of AI to disrupt the 2024 presidential election cycle.

The Phillips campaign paid Kramer roughly $250,000 to get Phillips, a third-term congressman from Minnesota challenging Biden, on the ballot in New York and Pennsylvania, according to federal campaign filings. Federal Communications Commission has issued him a subpoena for his involvement, Kramer said.

After the robocall, the Federal Communications Commission adopted a ruling that clarified generating a voice with AI for robocalls is illegal and swiftly issued a cease-and-desist letter to Kramer for originating illegal spoofed robocalls using an AI-generated voice in New Hampshire and issued a public notice to U.S.-based voice providers regarding blocking traffic related to the call.

The agency is working diligently including through all the tools available through its investigations to ensure that harmful misuse of AI technologies do not compromise the integrity of our communications networks, FCC spokesperson Will Wiquist said in a statement.

Kramer also shared details about how he created the robocall, confirming several details previously under speculation. He used software from the artificial intelligence voice cloning company Eleven Labs to create a deepfake voice of Biden in less than 30 minutes.

The calls, he added, were delivered by Voice Broadcasting, an entity associated with Life Co., which was at the center of the criminal investigation opened by New Hampshire Attorney General John Formella in early February into the Biden AI robocall. Kramer said the reason he created the robocall was to raise awareness about the dangers AI poses in political campaigns.

If anybody can do it, whats a person with real money, or an entity with real money, going to do? he said.

Kramers incident highlights the ease and accessibility by which AI-generated technology is making its way into the 2024 campaign cycle, allowing nearly anyone to use a wide array of tools to inject chaos and confusion into the voting process.

It also foreshadows a new challenge for state regulators, as increasingly advanced AI tools create new opportunities to interfere in elections across the world by creating fake audio recordings, photos and even videos of candidates, muddying the waters of reality.

The New Hampshire attorney generals investigation into the robocall remains active and ongoing, said Michael Garrity, a spokesman for the office.

Phillips and his campaign have condemned the robocalls. Katie Dolan, a spokeswoman for the Phillips campaign, said Kramers contract was finished before they became aware of his involvement in the robocall.

We are disgusted to learn that Mr. Kramer is behind this call, and we absolutely denounce his actions, she said. Kramers involvement was first reported by NBC News.

The robocall using an AI-generated voice that sounded like Biden targeted thousands of New Hampshire voters the weekend before the New Hampshire Democratic presidential primary, telling them their vote would not make a difference, according to investigators.

The call, which began with a catchphrase of Bidens, calling the election a bunch of malarkey, told voters: Its important that you save your vote for the November election. The call appeared to come from the number of the former New Hampshire Democratic Party chair Kathy Sullivan, who was helping an effort to get voters to write in Bidens name to show their support for the president, even though he wasnt on the ballot. Sullivan and others reported the call to the states attorney general.

In early February, Formella announced a criminal investigation into the matter, and sent the telecom company, Life Corp., a cease-and-desist letter ordering it to immediately stop violating the states laws against voter suppression in elections.

A multistate task force was also prepared for potential civil litigation against the company, and the FCC ordered Lingo Telecom to stop permitting illegal robocall traffic, after an industry consortium found that the Texas-based company carried the calls on its network.

Dont try it, Formella said in the February news conference. If you do, we will work together to investigate, we will work together with partners across the country to find you, and we will take any enforcement action available to us under the law. The consequences for your actions will be severe.

The robocall incident is also one of several episodes that underscore the need for better policies within technology companies to ensure their AI services are not used to distort elections, AI experts said.

In late January, ChatGPT creator OpenAI banned a developer from using its tools after the developer built a bot mimicking Phillips. His campaign had supported the bot, but after The Post reported on it, OpenAI deemed that it broke rules against use of its tech for campaigns.

Paul Barrett, deputy director of the New York University Stern Center for Business and Human Rights, said in an email that it is apparent how powerful AI deepfakes can be in disrupting elections. The new technology makes it far easier for nonexperts to generate highly persuasive content that is fraudulent and can potentially mislead people about when, how, or where to vote, he said.

This is also not the first time Kramer has used AI to spoof a politicians voice. Last year, he created an AI-generated robocall of Sen. Lindsey Graham (R-S.C.) asking nearly 300 likely Republican voters in South Carolina whom they would support if former president Donald Trump wasnt on the ballot.

Kramer, who said he plans to support Biden if he wins the Democratic nomination, said he hopes his actions have inspired regulators to take notice of AIs potential impact on the election.

Its here now, he said, referring to AI, and I did something about it.

Clara Ence Morse, Eva Dou, and Razzan Nakhlawi contributed to this report.

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Democratic operative admits to commissioning Biden AI robocall in New Hampshire - The Washington Post

Analysis: How Nvidia Surpassed Intel In Annual Revenue And Won The AI Crown – CRN

A deep-dive analysis into the market dynamics that allowed Nvidia to take the AI crown and surpass Intel in annual revenue. CRN also looks at what the x86 processor giant could do to fight back in a deeply competitive environment.

Several months after Pat Gelsinger became Intels CEO in 2021, he told me that his biggest concern in the data center wasnt Arm, the British chip designer that is enabling a new wave of competition against the semiconductor giants Xeon server CPUs.

Instead, the Intel veteran saw a bigger threat in Nvidia and its uncontested hold over the AI computing space and said his company would give its all to challenge the GPU designer.

[Related: The ChatGPT-Fueled AI Gold Rush: How Solution Providers Are Cashing In]

Well, theyre going to get contested going forward, because were bringing leadership products into that segment, Gelsinger told me for a CRN magazine cover story.

More than three years later, Nvidias latest earnings demonstrated just how right it was for Gelsinger to feel concerned about the AI chip giants dominance and how much work it will take for Intel to challenge a company that has been at the center of the generative AI hype machine.

When Nvidias fourth-quarter earnings arrived last week, they showed that the company surpassed Intel in total annual revenue for its recently completed fiscal year, mainly thanks to high demand for its data center GPUs driven by generative AI.

The GPU designer finished its 2024 fiscal year with $60.9 billion in revenue, up 126 percent or more than double from the previous year, the company revealed in its fourth-quarter earnings report on Wednesday. This fiscal year ran from Jan. 30, 2023, to Jan. 28, 2024.

Meanwhile, Intel finished its 2023 fiscal year with $54.2 billion in sales, down 14 percent from the previous year. This fiscal year ran concurrent to the calendar year, from January to December.

While Nvidias fiscal year finished roughly one month after Intels, this is the closest well get to understanding how two industry titans compared in a year when demand for AI solutions propped up the data center and cloud markets in a shaky economy.

Nvidia pulled off this feat because the company had spent years building a comprehensive and integrated stack of chips, systems, software and services for accelerated computingwith a major emphasis on data centers, cloud computing and edge computingthen found itself last year at the center of a massive demand cycle due to hype around generative AI.

This demand cycle was mainly kicked off by the late 2022 arrival of OpenAIs ChatGPT, a chatbot powered by a large language model that can understand complex prompts and respond with an array of detailed answers, all offered with the caveat that it could potentially impart inaccurate, biased or made-up answers.

Despite any shortcomings, the tech industry found more promise than concern with the capabilities of ChatGPT and other generative AI applications that had emerged in 2022, like the DALL-E 2 and Stable Diffusion text-to-image models. Many of these models and applications had been trained and developed using Nvidia GPUs because the chips are far faster at computing such large amounts of data than CPUs ever could.

The enormous potential of these generative AI applications kicked off a massive wave of new investments in AI capabilities by companies of all sizes, from venture-backed startups to cloud service providers and consumer tech companies, like Amazon Web Services and Meta.

By that point, Nvidia had started shipping the H100, a powerful data center GPU that came with a new feature called the Transformer Engine. This was designed to speed up the training of so-called transformer models by as many as six times compared to the previous-generation A100, which itself had been a game-changer in 2020 for accelerating AI training and inference.

Among the transformer models that benefitted from the H100s Transformer Engine was GPT-3.5, short for Generative Pre-trained Transformer 3.5. This is OpenAIs large language model that exclusively powered ChatGPT before the introduction of the more capable GPT-4.

But this was only one piece of the puzzle that allowed Nvidia to flourish in the past year. While the company worked on introducing increasingly powerful GPUs, it was also developing internal capabilities and making acquisitions to provide a full stack of hardware and software for accelerated computing workloads such as AI and high-performance computing.

At the heart of Nvidias advantage is the CUDA parallel computing platform and programming model. Introduced in 2007, CUDA enabled the companys GPUs, which had been traditionally designed for computer games and 3-D applications, to run HPC workloads faster than CPUs by breaking them down into smaller tasks and processing those tasks simultaneously. Since then, CUDA has dominated the landscape of software that benefits accelerated computing.

Over the last several years, Nvidias stack has grown to include CPUs, SmartNICs and data processing units, high-speed networking components, pre-integrated servers and server clusters as well as a variety of software and services, which includes everything from software development kits and open-source libraries to orchestration platforms and pretrained models.

While Nvidia had spent years cultivating relationships with server vendors and cloud service providers, this activity reached new heights last year, resulting in expanded partnerships with the likes of AWS, Microsoft Azure, Google Cloud, Dell Technologies, Hewlett Packard Enterprise and Lenovo. The company also started cutting more deals in the enterprise software space with major players like VMware and ServiceNow.

All this work allowed Nvidia to grow its data center business by 217 percent to $47.5 billion in its 2024 fiscal year, which represented 78 percent of total revenue.

This was mainly supported by a 244 percent increase in data center compute sales, with high GPU demand driven mainly by the development of generative AI and large language models. Data center networking, on the other hand, grew 133 percent for the year.

Cloud service providers and consumer internet companies contributed a substantial portion of Nvidias data center revenue, with the former group representing roughly half and then more than a half in the third and fourth quarters, respectively. Nvidia also cited strong demand driven by businesses outside of the former two groups, though not as consistently.

In its earnings call last week, Nvidia CEO Jensen Huang said this represents the industrys continuing transition from general-purpose computing, where CPUs were the primary engines, to accelerated computing, where GPUs and other kinds of powerful chips are needed to provide the right combination of performance and efficiency for demanding applications.

There's just no reason to update with more CPUs when you can't fundamentally and dramatically enhance its throughput like you used to. And so you have to accelerate everything. This is what Nvidia has been pioneering for some time, he said.

Intel, by contrast, generated $15.5 billion in data center revenue for its 2023 fiscal year, which was a 20 percent decline from the previous year and made up only 28.5 percent of total sales.

This was not only three times smaller than what Nvidia earned for total data center revenue in the 12-month period ending in late January, it was also smaller than what the semiconductor giants AI chip rival made in the fourth quarter alone: $18.4 billion.

The issue for Intel is that while the company has launched data center GPUs and AI processors over the last couple years, its far behind when it comes to the level of adoption by developers, OEMs, cloud service providers, partners and customers that has allowed Nvidia to flourish.

As a result, the semiconductor giant has had to rely on its traditional data center products, mainly Xeon server CPUs, to generate a majority of revenue for this business unit.

This created multiple problems for the company.

While AI servers, including ones made by Nvidia and its OEM partners, rely on CPUs for the host processors, the average selling prices for such components are far lower than Nvidias most powerful GPUs. And these kinds of servers often contain four or eight GPUs and only two CPUs, another way GPUs enable far greater revenue growth than CPUs.

In Intels latest earnings call, Vivek Arya, a senior analyst at Bank of America, noted how these issues were digging into the companys data center CPU revenue, saying that its GPU competitors seem to be capturing nearly all of the incremental [capital expenditures] and, in some cases, even more for cloud service providers.

One dynamic at play was that some cloud service providers used their budgets last year to replace expensive Nvidia GPUs in existing systems rather than buying entirely new systems, which dragged down Intel CPU sales, Patrick Moorhead, president and principal analyst at Moor Insights & Strategy, recently told CRN.

Then there was the issue of long lead times for Nvidias GPUs, which were caused by demand far exceeding supply. Because this prevented OEMs from shipping more GPU-accelerated servers, Intel sold fewer CPUs as a result, according to Moorhead.

Intels CPU business also took a hit due to competition from AMD, which grew x86 server CPU share by 5.4 points against the company in the fourth quarter of 2023 compared to the same period a year ago, according to Mercury Research.

The semiconductor giant has also had to contend with competition from companies developing Arm-based CPUs, such as Ampere Computing and Amazon Web Services.

All of these issues, along with a lull in the broader market, dragged down revenue and earnings potential for Intels data center business.

Describing the market dynamics in 2023, Intel said in its annual 10-K filing with the U.S. Securities and Exchange Commission that server volume decreased 37 percent from the previous year due to lower demand in a softening CPU data center market.

The company said average selling prices did increase by 20 percent, mainly due to a lower mix of revenue from hyperscale customers and a higher mix of high core count processors, but that wasnt enough to offset the plummet in sales volume.

While Intel and other rivals started down the path of building products to compete against Nvidias years ago, the AI chip giants success last year showed them how lucrative it can be to build a business with super powerful and expensive processors at the center.

Intel hopes to make a substantial business out of accelerator chips between the Gaudi deep learning processors, which came from its 2019 acquisition of Habana Labs, and the data center GPUs it has developed internally. (After the release of Gaudi 3 later this year, Intel plans to converge its Max GPU and Gaudi road maps, starting with Falcon Shores in 2025.)

But the semiconductor giant has only reported a sales pipeline that grew in the double digits to more than $2 billion in last years fourth quarter. This pipeline includes Gaudi 2 and Gaudi 3 chips as well as Intels Max and Flex data center GPUs, but it doesnt amount to a forecast for how much money the company expects to make this year, an Intel spokesperson told CRN.

Even if Intel made $2 billion or even $4 billion from accelerator chips in 2024, it would amount to a small fraction of what Nvidia made last year and perhaps an even smaller one if the AI chip rival manages to grow again in the new fiscal year. Nvidia has forecasted that revenue in the first quarter could grow roughly 8.6 percent sequentially to $24 billion, and Huang said the conditions are excellent for continued growth for the rest of this year and beyond.

Then theres the fact that AMD recently launched its most capable data center GPU yet, the Instinct MI300X. The company said in its most recent earnings call that strong customer pull and expanded engagements prompted the company to upgrade its forecast for data center GPU revenue this year to more than $3.5 billion.

There are other companies developing AI chips too, including AWS, Microsoft Azure and Google Cloud as well as several startups, such as Cerebras Systems, Tenstorrent, Groq and D-Matrix. Even OpenAI is reportedly considering designing its own AI chips.

Intel will also have to contend with Nvidias decision last year to move to a one-year release cadence for new data center GPUs. This started with the successor to the H100 announced last fallthe H200and will continue with the B100 this year.

Nvidia is making its own data center CPUs, too, as part of the companys expanding full-stack computing strategy, which is creating another challenge for Intels CPU business when it comes to AI and HPC workloads. This started last year with the standalone Grace Superchip and a hybrid CPU-GPU package called the Grace Hopper Superchip.

For Intels part, the semiconductor giant expects meaningful revenue acceleration for its nascent AI chip business this year. What could help the company are the growing number of price-performance advantages found by third parties like AWS and Databricks as well as its vow to offer an open alternative to the proprietary nature of Nvidias platform.

The chipmaker also expects its upcoming Gaudi 3 chip to deliver performance leadership with four times the processing power and double the networking bandwidth over its predecessor.

But the company is taking a broader view of the AI computing market and hopes to come out on top with its AI everywhere strategy. This includes a push to grow data center CPU revenue by convincing developers and businesses to take advantage of the latest features in its Xeon server CPUs to run AI inference workloads, which the company believes is more economical and pragmatic for a broader constituency of organizations.

Intel is making a big bet on the emerging category of AI PCs, too, with its recently launched Core Ultra processors, which, for the first time in an Intel processor, comes with a neural processing unit (NPU) in addition to a CPU and GPU to power a broad array of AI workloads. But the company faces tough competition in this arena, whether its AMD and Qualcomm in the Windows PC segment or Apple for Mac computers and its in-house chip designs.

Even Nvidia is reportedly thinking about developing CPUs for PCs. But Intel does have one trump card that could allow it to generate significant amounts of revenue alongside its traditional chip design business by seizing on the collective growth of its industry.

Hours before Nvidias earnings last Wednesday, Intel launched its revitalized contract chip manufacturing business with the goal of drumming up enough business from chip designers, including its own product groups, to become the worlds second largest foundry by 2030.

Called Intel Foundry, its lofty 2030 goal means the business hopes to generate more revenue than South Koreas Samsung in only six years. This would put it only behind the worlds largest foundry, Taiwans TSMC, which generated just shy of $70 billion last year with many thanks to large manufacturing orders from the likes of Nvidia, Apple and Nvidia.

All of this relies on Intel to execute at high levels across its chip design and manufacturing businesses over the next several years. But if it succeeds, these efforts could one day make the semiconductor giant an AI superpower like Nvidia is today.

At Intel Foundrys launch last week, Gelsinger made that clear.

We're engaging in 100 percent of the AI [total addressable market], clearly through our products on the edge, in the PC and clients and then the data centers. But through our foundry, I want to manufacture every AI chip in the industry, he said.

More:

Analysis: How Nvidia Surpassed Intel In Annual Revenue And Won The AI Crown - CRN

Accelerating telco transformation in the era of AI – The Official Microsoft Blog – Microsoft

AI is redefining digital transformation for every industry, including telecommunications. Every operators AI journey will be distinct. But each AI journey requires cloud-native transformation, which provides the foundation for any organization to harness the full potential of AI, driving innovation, efficiency and business value.

This new era of AI will create incredible economic growth and represent a profound shift as a percentage impact on global GDP, which is just over $100 trillion. So, when we look at the potential value driven by this next generation of AI technology, we may see a boost to global GDP of an additional $7 trillion to $10 trillion.

Embracing AI will help operators unlock new revenue streams, deliver superior customer experiences and pioneer future innovations for growth.

Operators can now leverage cloud services that are adaptive, purpose-built for telecommunications and span from near edge on-premises environments to the far edges of Earth and space to monetize investments, modernize networks, elevate customer experiences and streamline business operations with AI.

Our aim is to be the most trusted co-innovation partner for the telecommunications industry. We want to help accelerate telco transformation and empower operators to succeed in the era of AI, which is why we are committed to working with operators, enterprises and developers on the future cloud.

At MWC in Barcelona this week, we are announcing updates to our Azure for Operators portfolio to help operators seize the opportunity ahead in a cloud- and AI-native future.

AI opens new growth opportunities for operators. The biggest potential is that operators, as they embrace this new era of cloud and AI, can also help their customers in their own transformation.

For example, spam calls and malicious activities are a well-known menace and are growing exponentially, and often impact the most vulnerable members of society. Besides the annoyance, the direct cost of those calls adds up. For example, in the United States, FTC data for 2023 shows $850 million in reported fraud losses stemming from scam calls.

Today, we are announcing the public preview of Azure Operator Call Protection, a new service that uses AI to help protect consumers from scam calls. The service uses real-time analysis of voice content, alerting consumers who opt into the service when there is suspicious in-call activity. Azure Operator Call Protection works on any endpoint, mobile or landline, and it works entirely through the network without needing any app installation.

In the U.K., BT Group is trialing Azure Operator Call Protection to identify, educate and protect their customers from potential fraud, making it harder for bad actors to take advantage of their customers.

We are also announcing the public preview of Azure Programmable Connectivity (APC), which provides a unified, standard interface across operators networks. APC provides seamless access to Open Gateway for developers to create cloud and edge-native applications that interact with the intelligence of the network. APC also empowers operators to commercialize their network APIs and simplifies their access for developers and is available in the Azure Marketplace.

AI opens incredible opportunities to modernize network operations, providing new levels of real-time insights, intelligence and automation. Operators, such as Three UK, are already using Azure Operator Insights to eliminate data silos and deliver actionable business insights by enabling the collection and analysis of massive quantities of network data gathered from complex multi-vendor network functions. Designed for operator-specific workloads, operators tackle complex scenarios with Azure Operator Insights, such as understanding the health of their networks and the quality of their subscribers experiences.

Azure Operator Insights uses a modern data mesh architecture for dividing complex domains into manageable sub-domains called data products. These data products integrate large datasets from different sources and vendors to provide data visibility from disaggregated networks for comprehensive analytical and business insights. Using this data product factory capability, operators, network equipment providers and solution integrators can create unique data products for one customer or published to the Azure Marketplace for many customers to use.

Today, we are also announcing the limited preview of Copilot in Azure Operator Insights, a groundbreaking, operator-focused, generative AI capability helping operators move from reactive to proactive and predictive in tangible ways. Engineers use the Copilot to interact with network insights using natural language and receive simple explanations of what the data means and possible actions to take, resolving network issues quickly and accurately, ultimately improving customer satisfaction.

Copilot in Azure Operator Insights is delivering AI-infused insights to drive network efficiency for customers like Three UK and participating partners including Amdocs, Accenture and BMC Remedy. Three UK is using Copilot in Azure Operator Insights to unlock actionable intelligence on network health and customer experience quality of service, a process that previously took weeks or months to assess, is now possible to perform in minutes.

Additionally, with our next-generation hybrid cloud platform, Azure Operator Nexus, we offer the ability to future-proof the network to support mission-critical workloads, and power new revenue-generating services and applications. This immense opportunity is what drives operators to modernize their networks with Azure Operator Nexus, a carrier-grade, hybrid cloud platform and AI-powered automation and insights unlocking improved efficiency, scalability and reliability. Purpose-built for and validated by tier one operators to run mission-critical workloads, Azure Operator Nexus enables operators to run workloads on-premises or on Azure, where they can seamlessly deploy, manage, secure and monitor everything from the bare metal to the tenant.

E& UAE is taking advantage of the Azure Operator Nexus platform to lower total cost of ownership (TCO), leverage the power of AI to simplify operations, improve time to market and focus on their core competencies. And operations at AT&T that took months with previous generations of technology now take weeks to complete with Azure Operator Nexus.

We continue to build robust capabilities into Azure Operator Nexus, including new deployment options giving operators the flexibility to use one carrier-grade platform to deliver innovative solutions on near-edge, far-edge and enterprise edge.

Read more about the latest Azure for Operator updates here.

Operators are creating differentiation by collaborating with us to improve customer experiences and streamline their business operations with AI. Operators are leveraging Microsofts copilot stack and copilot experiences across our core products and services, such as Microsoft Copilot, Microsoft Copilot for M365 and Microsoft Security Copilot to drive productivity and improve customer experiences.

An average operator spends 20% ofannual revenue on capital expenditures.However, this investment does nottranslate into an equivalentincrease in revenue growth. Operators need to empower their service teams with data-driven insights to increase productivity, enhance care, use conversational AI to enable self-service, expedite issue resolution and deliver frictionless customer experiences at scale.

Together with our partner ecosystem, we are investing in creating a comprehensive set of solutions for the telecommunications industry. This includes the Azure for Operators portfolio a carrier-grade hybrid cloud platform, voice core, mobile core and multi-access edge compute, as well as our suite of generative AI solutions that holistically address the needs of network operators as they transform their networks.

As customers continue to embrace generative AI, we remain committed to working with operators and enterprises alike to future-proof networks and unlock new revenue streams in a cloud- and AI-native future.

Tags: AI, Azure for Operators, Azure Operator Call Protection, Azure Operator Insights, Azure Operator Nexus, Copilot in Azure Operator Insights

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Accelerating telco transformation in the era of AI - The Official Microsoft Blog - Microsoft

IBM’s Deep Dive Into AI: CEO Arvind Krishna Touts The ‘Massive’ Enterprise Opportunity For Partners – CRN

With an improved Partner Plus program and a mandate that all products be channel-friendly, IBM CEO Arvind Krishna aims to bring partners into the enterprise AI market that sits below the surface of todays trendy use cases.

To hear IBM Chairman and CEO Arvind Krishna tell it, the artificial intelligence market is like an iceberg. For now, most vendors and users are attracted by the use cases above the surfaceusing text generators to write emails and image generators to make art, for example.

But its the enterprise AI market below the surface that IBM wants to serve with its partners, Krishna told CRN in a recent interview. And Krishnas mandate that the Armonk, N.Y.-based vendor reach 50 percent of its revenue from the channel over the next two to three years is key to reaching that hidden treasure.

This is a massive market, said Krishna. When I look at all the estimates the numbers are so big that it is hard for most people to comprehend them. That tells you that there is a lot of opportunity for a large number of us.

[RELATED: IBM CEO Krishna To Partners: Lets Make Lots Of Money Together On AI]

In 2023, IBM moved channel-generated sales from the low 20 percent to about 30 percent of total revenue. And IBM channel chief Kate Woolley, general manager of the IBM ecosystemperhaps best viewed as the captain of the channel initiativetold CRN that she is up to the challenge.

Arvinds set a pretty big goal for us, Woolley said. Arvinds been clear on the percent of revenue of IBM technology with partners. And my goal is to make a very big dent in that this year.

GenAI as a whole has the potential to generate value equivalent of up to $4.4 trillion in global corporate profits annually, according to McKinsey research Krishna follows. That number includes up to an additional $340 billion a year in value for the banking sector and up to an additional $660 billion in operating profits annually in the retail and consumer packaged goods sector.

Tackling that demandworking with partners to make AI a reality at scale in 2024 and 2025is part of why Krishna mandated more investment in IBMs partner program, revamped in January 2023 as Partner Plus.

What we have to offer [partners] is growth, Krishna said. And what we also have to offer them is an attractive market where the clients like these technologies. Its important [for vendors] to bring the innovation and to bring the demand from the market to the table. And [partners] should put that onus on us.

Multiple IBM partners told CRN they are seeing the benefits of changes IBM has made to Partner Plus, from better aligning the goals of IBM sellers with the channel to better aligning certifications and badges with product offerings, to increasing access to IBM experts and innovation labs.

And even though the generative AI market is still in its infancy, IBM partners are bullish about the opportunities ahead.

Krishnas mandate for IBM to work more closely with partners has implications for IBMs product plans.

Any new product has to be channel-friendly, Krishna said. I cant think of one product I would want to build or bring to market unless we could also give it to the channel. I wouldnt say that was always historically true. But today, I can state that with absolute conviction.

Krishna estimated that about 30 percent of the IBM product business is sold with a partner in the mix today. Half of that Im not sure we would even get without the partner, he said.

And GenAI is not just a fad to the IBM CEO. It is a new way of doing business.

It is going to generate business value for our clients, Krishna said. Our Watsonx platform to really help developers, whether its code, whether its modernization, all those things. these are areas where, for our partners theyll be looking at this and say, This is how we can bring a lot of innovation to our clients and help their business along the way.

Some of the most practical and urgent business use cases for IBM include improved customer contact center experiences, code generation to help customers rewrite COBOL and legacy languages for modern ones, and the ability for customers to choose better wealth management products based on population segments.

Watsonx Code Assistant for Z became generally available toward the end of 2023 and allows modernization of COBOL to Java. Meanwhile, Red Hat Ansible Lightspeed with IBM Watsonx Code Assistant, which provides GenAI-powered content recommendations from plain-English inputs, also became generally available late last year.

Multiple IBM partners told CRN that IBM AI and Red Hat Ansible automation technologies are key to meeting customer code and content generation demand.

One of those interested partners is Tallahassee, Fla.-based Mainline Information Systems, an honoree on CRNs 2024 MSP 500. Mainline President and CEO Jeff Dobbelaere said code generation cuts across a variety of verticals, making it easy to scale that offering and meet the demands of mainframe customers modernizing their systems.

We have a number of customers that have legacy code that theyre running and have been for 20, 30, 40 years and need to find a path to more modern systems, Dobbelaere said. And we see IBMs focus on generative AI for code as a path to get there Were still in [GenAIs] infancy, and the skys the limit. Well see where it can go and where it can take us. But were starting to see some positive results already out of the Watsonx portfolio.

As part of IBMs investment in its partner program, the vendor will offer more technical help to partners, Krishna said. This includes client engineering, customer success managers and more resources to make their end client even more happy.

An example of IBMs client success team working with a partner comes from one of the vendors more recent additions to the ecosystemPhoenix-based NucleusTeq, founded in 2018 and focused on enterprise data modernization, big data engineering and AI and machine learning services.

Will Sellenraad, the solution providers executive vice president and CRO, told CRN that a law firm customer was seeking a way to automate labor needed for health disability claims for veterans.

What we were able to do is take the information from this law firm to our client success team within IBM, do a proof of concept and show that we can go from 100 percent manual to 60 percent automation, which we think we can get even [better], Sellenraad said.

Woolley said that part of realizing Krishnas demand for channel-friendly new products is getting her organization to work more closely with product teams to make sure partners have access to training, trials, demos, digital marketing kits and pricing and packaging that makes sense for partners, no matter whether theyre selling to very large enterprises or to smaller enterprises.

Woolley said her goals for 2024 include adding new services-led and other partners to the ecosystem and getting more resources to them.

In January, IBM launched a service-specific track for Partner Plus members. Meanwhile, reaching 50 percent revenue with the channel means attaching more partners to the AI portfolio, Woolley said.

There is unprecedented demand from partners to be able to leverage IBMs strength in our AI portfolio and bring this to their clients or use it to enhance their products. That is a huge opportunity.

Her goal for Partner Plus is to create a flexible program that meets the needs of partners of various sizes with a range of technological expertise. For resell partners, today we have a range from the largest global resell partners and distributors right down to niche, three-person resell partners that are deeply technical on a part of the IBM portfolio, she said. We love that. We want that expertise in the market.

NucleusTeqs Sellenraad offered CRN the perspective of a past IBM partner that came back to the ecosystem. He joined NucleusTeq about two years agobefore the solution provider was an IBM partnerfrom an ISV that partnered with IBM.

Sellenraad steered the six-year-old startup into growing beyond being a Google, Microsoft and Amazon Web Services partner. He thought IBMs product range, including its AI portfolio, was a good fit, and the changes in IBMs partner program encouraged him to not only look more closely, but to make IBM a primary partner.

Theyre committed to the channel, he said. We have a great opportunity to really increase our sales this year.

NucleusTeq became a new IBM partner in January 2023 and reached Gold partner status by the end of the year. It delivered more than $5 million in sales, and more than seven employees received certifications for the IBM portfolio.

Krishna said that the new Partner Plus portal and program also aim to make rebates, commissions and other incentives easier to attain for partners.

The creation of Partner Plusa fundamental and hard shift in how IBM does business, Krishna saidresulted in IBMs promise to sell to millions of clients only through partners, leaving about 500 accounts worldwide that want and demand a direct relationship with IBM.

So 99.9 percent of the market, we only want to go with a channel partner, Krishna said. We do not want to go alone.

When asked by CRN whether he views more resources for the channel as a cost of doing business, he said that channel-friendliness is his philosophy and good business.

Not only is it my psychology or my whimsy, its economically rational to work well with the channel, he continued. Thats why you always hear me talk about it. There are very large parts of the market which we cannot address except with the channel. So by definition, the channel is not a tradeoff. It is a fundamental part of the business equation of how we go get there.

Multiple IBM partners who spoke with CRN said AI can serve an important function in much of the work that they handle, including modernizing customer use of IBM mainframes.

Paola Doebel, senior vice president of North America at Downers Grove, Ill.-based IBM partner Ensonoan honoree on CRNs 2024 MSP 500told CRN that the MSP will focus this year on its modern cloud-connected mainframe service for customers, and AI-backed capabilities will allow it to achieve that work at scale.

While many of Ensonos conversations with customers have been focused on AI level-settingwhats hype, whats realisticthe conversations have been helpful for the MSP.

There is a lot of hype, there is a lot of conversation, but some of that excitement is grounded in actual real solutions that enable us to accelerate outcomes, Doebel said. Some of that hype is just hype, like it always is with everything. But its not all smoke. There is actual real fire here.

For example, early use cases for Ensono customers using the MSPs cloud-connected mainframe solution, which can leverage AI, include real-time fraud detection, real-time data availability for traders, and connecting mainframe data to cloud applications, she said.

Mainlines Dobbelaere said that as a solution provider, his company has to be cautious about where it makes investments in new technologies. There are a lot of technologies that come and go, and there may or may not be opportunity for the channel, he said.

But the interest in GenAI from vendor partners and customers proved to him that the opportunity in the emerging technology is strong.

Delivering GenAI solutions wasnt a huge lift for Mainline, which already had employees trained on data and business analytics, x86 technologies and accelerators from Nvidia and AMD. The channel is uniquely positioned to bring together solutions that cross vendors, he said.

The capital costs of implementing GenAI, however, are still a concern in an environment where the U.S. faces high inflation rates and global geopolitics threaten the macroeconomy. Multiple IBM partners told CRN they are seeing customers more deeply scrutinize technology spending, lengthening the sales cycle.

Ensonos Doebel said that customers are asking more questions about value and ROI.

The business case to execute something at scale has to be verified, justified and quantified, Doebel said. So its a couple of extra steps in the process to adopt anything new. Or theyre planning for something in the future that theyre trying to get budget for in a year or two.

She said she sees the behavior continuing in 2024, but solution providers such as Ensono are ready to help customers employees make the AI case with board-ready content, analytical business cases, quantitative outputs, ROI theses and other materials, she said.

For partners navigating capital cost as an obstacle to selling customers on AI, Woolley encouraged them to work with IBM sellers in their territories.

Dayn Kelley, director of strategic alliances for Irvine, Calif.-based IBM partner TechnologentNo. 61 on CRNs 2023 Solution Provider 500said customers have expressed so much interest in and concern around AI that the solution provider has built a dedicated team focused on the technology as part of its investments toward taking a leadership position in the space.

We have customers we need to support, Kelley said. We need to be at the forefront.

He said that he has worked with customers on navigating financials and challenging project schedules to meet budget concernsand IBM has been a particularly helpful partner in this area.

While some Technologent customers are weathering economic challenges, the outlook for 2024 is still strong, he said. Customer AI and emerging technology projects are still forecast for this year.

Mainlines Dobbelaere said that despite reports around economic concerns and conservative spending that usually occurs in an election year, hes still optimistic about tech spending overall in 2024.

2023 was a very good year for us. It looks like we outpaced 2022, he said. And theres no reason for us to believe that 2024 would be any different. So we are optimistic.

Juan Orlandini, CTO of the North America branch of Chandler, Ariz.-based IBM partner Insight EnterprisesNo. 16 on CRNs 2023 Solution Provider 500said educating customers on AI hype versus AI reality is still a big part of the job.

In 2023, Orlandini made 60 trips in North America to conduct seminars and meet with customers and partners to set expectations around the technology and answer questions from organizations large and small.

He recalled walking one customer through the prompts he used to create a particular piece of artwork with GenAI. In another example, one of the largest media companies in the world consulted with him on how to leverage AI without leaking intellectual property or consuming someone elses. It doesnt matter what size the organization, you very much have to go through this process of making sure that you have the right outcome with the right technology decision, Orlandini said.

Theres a lot of hype and marketing. Everybody and their brother is doing AI now and that is confusing [customers].

An important role of AI-minded solution providers, Orlandini said, is assessing whether it is even the right technology for the job.

People sometimes give GenAI the magical superpowers of predicting the future. It cannot. You have to worry about making sure that some of the hype gets taken care of, Orlandini said.

Most users wont create foundational AI models, and most larger organizations will adopt AI and modify it, publishing AI apps for internal or external use. And everyone will consume AI within apps, he said.

The AI hype is not solely vendor-driven. Orlandini has also interacted with executives at customers who have added mandates and opened budgets for at least testing AI as a way to grow revenue or save costs.

There has been a huge amount of pressure to go and adopt anything that does that so they can get a report back and say, We tried it, and its awesome. Or, We tried it and it didnt meet our needs, he said. So we have seen very much that there is an opening of pocketbooks. But weve also seen that some people start and then theyre like, Oh, wait, this is a lot more involved than we thought. And then theyre taking a step back and a more measured approach.

Jason Eichenholz, senior vice president and global head of ecosystems and partnerships at Wipro -- an India-based IBM partner of more than 20 years and No. 15 on CRNs 2023 Solution Provider 500told CRN that at the end of last year, customers were developing GenAI use cases and establishing 2024 budgets to start deploying either proofs of concept into production or to start working on new production initiatives.

For Wipros IBM practice, one of the biggest opportunities is IBMs position as a more neutral technology stackakin to its reputation in the cloud marketthat works with other foundation models, which should resonate with the Wipro customer base that wants purpose-built AI models, he said.

Just as customers look to Wipro and other solution providers as neutral orchestrators of technology, IBM is becoming more of an orchestrator of platforms, he said.

For his part, Krishna believes that customers will consume new AI offerings as a service on the cloud. IBM can run AI on its cloud, on the customers premises and in competing clouds from Microsoft and Amazon Web Services.

He also believes that no single vendor will dominate AI. He likened it to the automobile market. Its like saying, Should there be only one car company? There are many because [the market] is fit for purpose. Somebody is great at sports cars. Somebody is great at family sedans, somebodys great at SUVs, somebodys great at pickups, he said.

There are going to be spaces [within AI where] we would definitely like to be considered leaderswhether that is No. 1, 2 or 3 in the enterprise AI space, he continued. Whether we want to work with people on modernizing their developer environment, on helping them with their contact centers, absolutely. In those spaces, wed like to get to a good market position.

He said that he views other AI vendors not as competitors, but partners. When you play together and you service the client, I actually believe we all tend to win, he said. If you think of it as a zero-sum game, that means it is either us or them. If I tend to think of it as a win-win-win, then you can actually expand the pie. So even a small slice of a big pie is more pie than all of a small pie.

All of the IBM partners who spoke with CRN praised the changes to the partner program.

Wipros Eichenholz said that we feel like were being heard in terms of our feedback and our recommendations. He called Krishna super supportive of the partner ecosystem.

Looking ahead, Eichenholz said he would like to see consistent pricing from IBM and its distributors so that he spends less time shopping for customers. He also encouraged IBM to keep investing in integration and orchestration.

For us, in terms of what we look for from a partner, in terms of technical enablement, financial incentives and co-creation and resource availability, they are best of breed right now, he said. IBM is really putting their money and their resources where their mouth is. We expect 2024 to be the year of the builder for generative AI, but also the year of the partner for IBM partners.

Mainlines Dobbelaere said that IBM is on the right track in sharing more education, sandboxing resources and use cases with partners. He looks forward to use cases with more repeatability.

Ultimately, use cases are the most important, he said. And they will continue to evolve. Its difficult for the channel to create bespoke solutions for each and every customer to solve their unique challenges. And the more use cases we have that provide some repeatability, the more that will allow the channel to thrive.

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IBM's Deep Dive Into AI: CEO Arvind Krishna Touts The 'Massive' Enterprise Opportunity For Partners - CRN

Report: NVIDIA Forms Custom Chip Unit for Cloud Computing and More – AnandTech

With its highly successful A100 and H100 processors for artificial intelligence (AI) and high-performance computing (HPC) applications, NVIDIA dominates AI datacenter deployments these days. But among large cloud service providers as well as emerging devices like software defined vehicles (SDVs) there is a global trend towards custom silicon. And, according to a report from Reuters, NVIDIA is putting together a new business unit to take on the custom chip market.

The new business unit will reportedly be led by vice president Dina McKinney, who has a wealth of experience from working at AMD, Marvell, and Qualcomm. The new division aims to address a wide range of sectors including automotive, gaming consoles, data centers, telecom, and others that could benefit from tailored silicon solutions. Although NVIDIA has not officially acknowledged the creation of this division, McKinneys LinkedIn profile as VP of Silicon Engineering reveals her involvement in developing silicon for 'cloud, 5G, gaming, and automotive,' hinting at the broad scope of her alleged business division.

Nine unofficial sources across the industry confirmed to Reuters the existence of the division, but NVIDIA has remained tight-lipped, only discussing its 2022 announcement regarding implementation of its networking technologies into third-party solutions. According to Reuters, NVIDIA has initiated discussions with leading tech companies, including Amazon, Meta, Microsoft, Google, and OpenAI, to investigate the potential for developing custom chips. This hints that NVIDIA intends to extend its offerings beyond the conventional off-the-shelf datacenter and gaming products, embracing the growing trend towards customized silicon solutions.

While using NVIDIA's A100 and H100 processors for AI and high-performance computing (HPC) instances, major cloud service providers (CSPs) like Amazon Web Services, Google, and Microsoft are also advancing their custom processors to meet specific AI and general computing needs. This strategy enables them to cut costs as well as tailor capabilities and power consumption of their hardware to their particular needs. As a result, while NVIDIA's AI and HPC GPUs remain indispensable for many applications, an increasing portion of workloads now run on custom-designed silicon, which means lost business opportunities for NVIDIA. This shift towards bespoke silicon solutions is widespread and the market is expanding quickly. Essentially, instead of fighting custom silicon trend, NVIDIA wants to join it.

Meanwhile, analysts are painting the possibility of an even bigger picture. Well-known GPU industry observer Jon Peddie Research notes that they believe that NVIDIA may be interested in addressing not only CSPs with datacenter offerings, but also consumer market due to huge volumes.

"NVIDIA made their loyal fan base in the consumer market which enabled them to establish the brand and develop ever more powerful processors that could then be used as compute accelerators," said JPR's president Jon Peddie. "But the company has made its fortune in the deep-pocked datacenter market where mission-critical projects see the cost of silicon as trivial to the overall objective. The consumer side gives NVIDIA the economy of scale so they can apply enormous resources to developing chips and the software infrastructure around those chips. It is not just CUDA, but a vast library of software tools and libraries."

Back in mid-2010s NVIDIA tried to address smartphones and tablets with its Tegra SoCs, but without much success. However, the company managed to secure a spot in supplying the application processor for the highly-successful Nintendo Switch console, and certainly would like expand this business. The consumer business allows NVIDIA to design a chip and then sell it to one client for many years without changing its design, amortizing the high costs of development over many millions of chips.

"NVIDIA is of course interested in expanding its footprint in consoles right now they are supplying the biggest selling console supplier, and are calling on Microsoft and Sony every week to try and get back in," Peddie said. "NVIDIA was in the first Xbox, and in PlayStation 3. But AMD has a cost-performance advantage with their APUs, which NVIDIA hopes to match with Grace. And since Windows runs on Arm, NVIDIA has a shot at Microsoft. Sony's custom OS would not be much of a challenge for NVIDIA."

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Report: NVIDIA Forms Custom Chip Unit for Cloud Computing and More - AnandTech

All the big tech layoffs of 2023 and 2024 – Engadget

The tech industry has been reeling from the combination of a rough economy, the COVID-19 pandemic and some obvious business missteps. And while that led to job cuts in 2022, the headcount reductions unfortunately ramped up in 2023 and so far, seem to be accelerating in 2024. It can be tough to keep track of these moves, so weve compiled all the major layoffs in one place and will continue to update this story as the situation evolves.

Duolingo cut 10 percent of its contractors, and said that it is instead able to use generative AI to accomplish some of the tasks that its human workers used to perform.

Unity laid off 1,800 people, or a quarter of its workforce. This is in addition to more than 1,110 other layoffs at the company over the past two years.

Humane cut 4 percent of its workforce even before its flagship product, the Ai pin, hit the market.

Amazon-owned Twitch is laying off a sobering 35 percent of its workforce, just over 500 people. In a note to staff, CEO Dan Clancy said "our organization is still meaningfully larger than it needs to be given the size of our business."

On the same day that Amazon-owned Twitch confirmed it would be laying off 500 workers, Variety reported that Amazon itself would lay off "several hundred" people at Prime Video and MGM Studios.

Meta's layoffs are continuing into 2024. The company has reportedly let go 60 technical program managers at Instagram.

In another round of belt tightening, Google has reportedly laid off hundreds of workers in its Assistant and hardware divisions, among other departments. Alongside the cuts, Google is said to have reorganized its Pixel, Nest and Fitbit divisions, which led to Fitbit's co-founders departing the company.

Discord has reportedly laid off 170 workers, or 17 percent of its workforce. In a memo first reported by The Verge, CEO Jason Citron said the company had hired too many people back in 2020.

Spotify layoffs

Spotify is laying off 17 percent of its workforce, CEO Daniel Ek announced in a pre-holiday press release.

New World Interactive

The developer behind the Insurgency series and Day of Infamy laid off an undisclosed number of employees in December.

Tinybuild

Indie game developer Tinybuild also laid off an undisclosed number of employees, citing cost restructuring.

Codemasters

The EA-owned studio cut some jobs in December. Here, too, it is unclear how many employees lost their jobs.

Tidal

The music streamer announced in December that it is laying off 10 percent of its workforce. This follows an announcement in November from parent company Block Inc. that it would cap its workforce at 12,000 employees.

Etsy

Etsy is laying off 11 percent of its staff, or around 225 employees. The company is also reshuffling its c-suite, with two executives departing in early 2024.

Ubisoft Montreal layoffs

In early November, Ubisoft laid off 98 people from its Montreal office, considered the home of the company's biggest in-house development team. The majority of those who lost their jobs were in business administration and IT. Overall, the company said in its latest quarterly earnings report that it had cut about 1,000 jobs over the last 12 months, including layoffs and not replacing employees who left voluntarily.

Cruise layoffs

Cruise, General Motors' driverless car subsidiary, reportedly told employees in November that it plans to lay off some employees. The news came the same week that GM recalled Cruise's entire fleet of 950 robotaxis following a pedestrian collision. Cruise confirmed in December that the layoffs would include about 900 employees, or 24 percent of its workforce.

Snap layoffs

Snap laid off 20 product managers in a move it claims will enable faster decision making.

Amazon layoffs

Amazon cut 180 jobs from its gaming division, according to several reputable news outlets including Reuters and Bloomberg. The cuts included the entire staff working on Crown, an Amazon-backed Twitch channel. Separately, later in November Amazon laid off several hundred employees working on Alexa. On AI, the company is widely perceived to have fallen behind competitors such as OpenAI, the parent company of ChatGPT.

ByteDance layoffs

ByteDance, TikTok's parent company, has reportedly eliminated hundreds of roles across its gaming division. Nuverse, the publisher it acquired back in 2017, was said to be gutted in the process.

Unity layoffs

Unity Software cut 265 jobs, or 3.8 percent of its workforce, as part of a company "reset."

LinkedIn layoffs

In its second round of layoffs this year, LinkedIn said it is letting go around 668 workers from across its engineering, product, talent and finance teams. In May, LinkedIn said it would lay off 716 people and close its job search app in China. Between the two rounds of layoffs, LinkedIn will have cut nearly 1,400 jobs in 2023.

Epic Games laid off 16 percent of its employees, or about 830 employees. In an open letter to employees, CEO Tim Sweeney said the company was spending "way more money" than it earns, and that "we concluded that layoffs are the only way." Previously, the company had attempted to reduce costs by freezing hiring and cutting its marketing spending.

Roku's second round of 2023 layoffs is seeing another 300 people leaving the company, on top of 200 it let go in March and another 200 folks it dismissed in late 2022. Roku is once again looking to reduce costs and, along with lowering its headcount, it's trying to do that by axing shows and movies from its platform, consolidating office space and spending less on outside services.

Google drew attention in July when is contracting partner Accenture laid off 80 Help subcontractors who voted to form the Alphabet Workers Union-CWA the month before. Accenture attributed the move to cost-cutting. While the company said it respected the subcontractors' right to join a union, the former teams accused Google of retaliating against labor organizers.

The creator of Cyberpunk 2077 isn't immune to business challenges. CD Projekt Red warned in July that it would lay off about 100 people over the next several months, or about nine percent of the workforce. Employees will be let go as late as the first quarter of 2024. CEO Adam Kiciski was frank about the reasoning: CDPR was "overstaffed" for a reorganization meant to better handle the game developer's widening product roadmap, which includes new Cyberpunk and Witcher titles.

Spotify followed up its January layoff plans with word in June that it would cut 200 jobs in its podcast unit. The move is part of a more targeted approach to fostering podcasts with optimized resources for creators and shows. The company is also combining its Gimlet and Parcast production teams into a renewed Spotify Studios division.

GrubHub has faced intense pressure from both the economy and competitors like Uber, and that led it to lay off 15 percent of its workforce in June, or roughly 400 staff. This came just weeks after outgoing CEO Adam DeWitt officially left the food delivery service. New chief executive Howard Migdal claims the job cuts will help the company remain "competitive."

Game publishing giant Embracer Group announced plans for layoffs in June as part of a major restructuring effort meant to cut costs. The company didn't say how many of its 17,000 employees would be effected, but expected the overhaul to continue through March. The news came soon after Embracer revealed that it lost a $2 billion deal with an unnamed partner despite a verbal agreement.

Sonos has struggled to turn a profit as of late, and it's cutting costs to get back on track. The company said in June that it would lay off 7 percent of staff, or roughly 130 jobs. It also planned to offload real estate and rethink program spending. CEO Patrick Spence said there were "continued headwinds" that included shrinking sales.

Plex may be many users' go-to app for streaming both local and online media, but that hasn't helped its fortunes. The company laid off roughly 20 percent of employees in June, or 37 people. The cuts affect all areas. Plex is reportedly feeling the blow from an ad market slowdown, and is eager to cut costs and turn a profit.

Shopify's e-commerce platform played an important role at the height of the pandemic, but the Canadian company is scaling back now that the rush is over. In May, the company laid off 20 percent of its workforce and sold its logistics business to Flexport. Founder Tobi Ltke characterized the job cuts as necessary to "pay unshared attention" to Shopify's core mission, and an acknowledgment that the firm needed to be more efficient now that the "stable economic boom times" were over.

Polestar delayed production of its first electric SUV (the Polestar 3) in May, and that had repercussions for its workforce. The Volvo spinoff brand said in May that it would cut 10 percent of its workforce to lower costs as it faced reduced manufacturing expectations and a rough economy. Volvo needed more time for software development and testing that also pushed back the EX90, Polestar said.

SoundCloud followed up last year's extensive layoffs with more this May. The streaming audio service said it would shed 8 percent of its staff in a bid to become profitable in 2023. Billboard sources claim the company hopes to be profitable by the fourth quarter of the year.

Lyft laid off 13 percent of staff in November 2022, but took further steps in April. The ridesharing company said it was laying off 1,072 workers, or about 26 percent of its headcount. It comes just weeks after an executive shuffle that replaced CEO Logan Green with former Amazon exec David Risher, who said the company needed to streamline its business and refocus on drivers and passengers. Green previously said Lyft needed to boost its spending to compete with Uber.

Cloud storage companies aren't immune to the current financial climate. In April, Dropbox said it would lay off 500 employees, or roughly 16 percent of its team. Co-founder Drew Houston pinned the cuts on the combination of a rough economy, a maturing business and the "urgency" to hop on the growing interest in AI. While the company is profitable, its growth is slowing and some investments are "no longer sustainable," Houston said.

Roku shed 200 jobs at the end of 2022, but it wasn't done. The streaming platform creator laid off another 200 employees in March 2023. As before, the company argued that it needed to curb growing expenses and concentrate on those projects that would have the most impact. Roku has been struggling with the one-two combination of a rough economy and the end of a pandemic-fueled boom in streaming video.

If you thought luxury EV makers would be particularly susceptible to economic turmoil, you guessed correctly. Lucid Motors said in March that it would lay off 18 percent of its workforce, or about 1,300 people. The marque is still falling short of production targets, and these cuts reportedly help deal with "evolving business needs and productivity improvements." The cuts are across the board, too, and include both executives as well as contractors.

Meta slashed 11,000 jobs in fall 2022, but it wasn't finished. In March 2023, the company unveiled plans to lay off another 10,000 workers in a further bid to cut costs. The first layoffs affected its recruiting team, but it shrank its technology teams in late April and its business groups in late May. The Facebook owner is hoping to streamline its operations by reducing management layers and asking some leaders to take on work previously reserved for the rank and file. It may take a while before Meta's staff count grows again it doesn't expect to lift a hiring freeze until sometime after it completes its restructuring effort in late 2023.

Rivian conducted layoffs in 2022, but that wasn't enough to help the fledgling EV brand's bottom line. The company laid off another six percent of its employees in February, or about 840 workers. It's still fighting to achieve profitability, and the production shortfall from supply chain issues hasn't helped matters. CEO RJ Scaringe says the job cuts will help Rivian focus on the "highest impact" aspects of its business.

Zoom was a staple of remote work culture at the pandemic's peak, so it's no surprise that the company is cutting back now that people are returning to offices. The video calling firm said in February it was laying off roughly 1,300 employees, or 15 percent of its personnel. As CEO Eric Yuan put it, the company didn't hire "sustainably" as it dealt with its sudden success. The layoffs are reportedly necessary to help survive a difficult economy. The management team is offering more than just apologies, too. Yuan is cutting his salary by 98 percent for the next fiscal year, while all other executives are losing 20 percent of their base salaries as well as their fiscal 2023 bonuses.

Engadget's parent company Yahoo isn't immune to layoffs. The internet brand said in February that it would lay off over 20 percent of its workforce throughout 2023, or more than 1,600 people. Most of those cuts, or about 1,000 positions, took place immediately. CEO Jim Lanzone didn't blame the layoffs on economic conditions, however. He instead pitched it as a restructuring of the advertising technology unit as it shed an unprofitable business in favor of a successful one. Effectively, Yahoo is bowing out of direct competition in with Google and Meta in the ad market.

The pandemic recovery and a grim economy have hit PC makers particularly hard, and Dell is feeling the pain more than most. It laid off five percent of its workforce in early February, or about 6,650 employees, after a brutal fourth quarter where computer shipments plunged an estimated 37 percent. Past cost-cutting efforts weren't enough, Dell said the layoffs and a streamlined organization were reportedly needed to get back on track.

Food delivery services flourished while COVID-19 kept people away from restaurants, and at least some are feeling the sting now that people are willing to dine out again. Deliveroo is laying off about 350 workers, or nine percent of its workforce. "Redeployments" will bring this closer to 300, according to founder Will Shu. The justification is familiar: Deliveroo hired rapidly to handle "unprecedented" pandemic-related growth, according to Shu, but reportedly has to cut costs as it deals with a troublesome economy.

DocuSign may be familiar to many people who've signed documents online, but that hasn't spared it from the impact of a harsh economic climate. The company said in mid-February that it was laying off 10 percent of its workforce. While it didn't disclose how many people that represented, the company had 7,461 employees at the start of 2022. Most of those losing their jobs work in DocuSign's worldwide field organization.

You may not know GitLab, but its DevOps (development and operations) platform underpins work at tech brands like NVIDIA and T-Mobile and shrinking business at its clients is affecting its bottom line. GitLab is laying off seven percent of employees, or roughly 114 people. Company chief Sid Sijbrandij said the problematic economy meant customers were taking a "more conservative approach" to software investment, and that his company's previous attempts to refocus spending weren't enough to counter these challenges.

GoDaddy conducted layoffs early in the pandemic, when it cut over 800 workers for its retail-oriented Social platform. In February this year, however, it took broader action. The web service provider laid off eight percent of its workforce, or more than 500 people, across all divisions. Chief Aman Bhutani claimed other forms of cost-cutting hadn't been enough to help the company navigate an "uncertain" economy, and that this reflected efforts to further integrate acquisitions like Main Street Hub.

Twilio eliminated over 800 jobs in September 2022, but it made deeper cuts as 2023 got started. The cloud communications brand laid off 17 percent of staff, or roughly 1,500 people, in mid-February. Like so many other tech firms, Twillio said that past cost reduction efforts weren't enough to endure an unforgiving environment. It also rationalized the layoffs as necessary for a streamlined organization.

Google's parent company Alphabet has been cutting costs for a while, including shutting down Stadia, but it took those efforts one step further in late January when it said it would lay off 12,000 employees. CEO Sundar Pichai wasn't shy about the reasoning: Alphabet had been hiring for a "different economic reality," and was restructuring to focus on the internet giant's most important businesses. The decision hit the company's Area 120 incubator particularly hard, with the majority of the unit's workers losing their jobs. Sub-brands like Intrinsic (robotics) and Verily (health) also shed significant portions of their workforce in the days before the mass layoffs. Waymo has conducted two rounds of layoffs that shed 209 people, or eight percent of its force.

Amazon had already outlined layoff plans last fall, but expanded those cuts in early January when it said it would eliminate 18,000 jobs, most of them coming from retail and recruiting teams. It added another 9,000 people to the layoffs in March, and in April said over 100 gaming employees were leaving. To no one's surprise, CEO Andy Jassy blamed both an "uncertain economy" and rapid hiring in recent years. Amazon benefited tremendously from the pandemic as people shifted to online shopping, but its growth is slowing as people return to in-person stores.

Coinbase was one of the larger companies impacted by the crypto market's 2022 downturn, and that carried over into the new year. The cryptocurrency exchange laid off 950 people in mid-January, just months after it slashed 1,100 roles. This is one of the steepest proportionate cuts among larger tech brands Coinbase offloaded about a fifth of its staff. Chief Brian Armstrong said his outfit needed the layoffs to shrink operating expenses and survive what he previously described as a "crypto winter," but that also meant canceling some projects that were less likely to succeed.

Layoffs sometimes stem more from corporate strategy shifts than financial hardship, and IBM provided a classic example of this in 2023. The computing pioneer axed 3,900 jobs in late January after offloading both its AI-driven Watson Health business and its infrastructure management division (now Kyndryl) in the fall. Simply put, those employees had nothing to work on as IBM pivoted toward cloud computing.

Microsoft started its second-largest wave of layoffs in company history when it signaled it would cut 10,000 jobs between mid-January and the end of March. Like many other tech heavyweights, it was trimming costs as customers scaled back their spending (particularly on Windows and devices) during the pandemic recovery. The reductions were especially painful for some divisions they reportedly gutted the HoloLens and mixed reality teams, while 343 Industries is believed to be rebooting Halo development after losing dozens of workers. GitHub is cutting 10 percent of its team, or roughly 300 people.

PayPal has been one of the healthier large tech companies, having beaten expectations in its third quarter last year. Still, it hasn't been immune to a tough economy. The online payment firm unveiled plans at the end of January to lay off 2,000 employees, or seven percent of its total worker base. CEO Dan Schulman claimed the downsizing would keep costs in check and help PayPal focus on "core strategic priorities."

Salesforce set the tone for 2023 when it warned it would lay off 8,000 employees, or about 10 percent of its workforce, just four days into the new year. While the cloud software brand thrived during the pandemic with rapidly growing revenue, it admitted that it hired too aggressively during the boom and couldn't maintain that staffing level while the economy was in decline.

Business software powerhouse SAP saw a steep 68 percent drop in profit at the end of 2022, and it started 2023 by laying off 2,800 staff to keep its business healthy. Unlike some big names in tech, though, SAP didn't blame excessive pandemic-era hiring for the cutback. Instead, it characterized the initiative as a "targeted restructuring" for a company that still expected accelerating growth in 2023.

Spotify spent aggressively in recent years as it expanded its podcast empire, but it quickly put a stop to that practice as 2023 began. The streaming music service said in late January that it would lay off 6 percent of its workforce (9,800 people worked at Spotify as of the third quarter) alongside a restructuring effort that included the departure of content chief Dawn Ostroff. While there were more Premium subscribers than ever in 2022, the company also suffered steep losses CEO Daniel Ek said he was "too ambitious" investing before the revenue existed to support it.

Amazon isn't the only major online retailer scaling back in 2023. Wayfair said in late January that it would lay off 1,750 team members, or 10 percent of its global headcount. About 1,200 of those were corporate staff cut in a bid to "eliminate management layers" and otherwise help the company become leaner and nimbler. Wayfair had been cutting costs since August 2022 (including 870 positions), but saw the layoffs as helping it reach break-even earnings sooner than expected.

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All the big tech layoffs of 2023 and 2024 - Engadget

JPM2024: Big Tech Poised to Disrupt Biopharma with AI-Based Drug Discovery – BioSpace

Pictured: Medical professionals use technology in healthcare/iStock,elenabs

2024 will continue to see Big Tech companies enter the artificial intelligence-based drug discovery space, potentially disrupting the biopharma industry. That was the consensus of panelists at a Tuesday session on AI and machine learning held by the Biotech Showcase, co-located with the 42nd J.P. Morgan Healthcare Conference.

The JPM conference got a reminder of Big Techs inroads into AI-based drug discovery with Sundays announcement that Google parent Alphabets digital biotech company Isomorphic Labs signed two large deals worth nearly $3 billion with Eli Lilly and Novartis.

Big Tech is coming for AI and its coming in a big way, said panel moderator Beth Rogozinski, CEO of Oncoustics, who noted that the AI boom has seen the rise of the Magnificent 7, a new grouping of mega-cap tech stocks comprised of the seven largest U.S.-listed companiestech giants Amazon, Apple, Alphabet, Microsoft, Meta Platforms, Nvidia and Tesla.

Last year, the Magnificent 7s combined market value surged almost 75% to a whopping $12 trillion, demonstrating their collective financial power.

Six of the seven have AI and healthcare initiatives, Rogozinski told the panel. Theyre all coming for this industry.

However, Atomwise CEO Abraham Heifets made the case that with Big Tech getting into biopharma there is a mismatch of business models, with the Isomorphic Labs deals looking, in his words, like traditional tech mentality. Heifets contends that its unclear whether the physics of the business will support the risk models in the industry, adding that the influence of small- to mid-size companies focused on AI-based drug discovery should not be underestimated.

Google DeepMinds AlphaFold is the foundation of Isomorphic Labs platform. The problem, according to ArrePath CTO Kurt Thorn, is that its easy for these technologies to have fast followings only to see their market shares wane over time. If you look at AlphaFold, which was a breakthrough when it came out, within two or three years afterwards there were two or three alternatives.

Thorn concluded that its not clear that the market sizes are large enough to amortize a large AI platform for drug discovery across an entire industry.

Rogozinski emphasized that these switching costs are a potential barrier to entry in moving to such drug discovery platforms as Big Tech tries to get companies to transition.

Vivodyne CEO Andrei Georgescu commented that drug discovery and development is a difficult and complex process that is not a function of how big your team is or how many people you have behind the bench. The key to the success of AI in biopharma is in the generation and curation of datasets, according to Georgescu, who said the industry is facing a bottleneck on the complexity of the data and the applicability of the data to the outcomes that we want to confirm.

Providing some levity and perspective to Tuesdays AI session, Moonwalk Biosciences CEO Alex Aravanis told the audience he was late to arrive as a panelist due to an accident on the freeway involving a Tesla self-driving vehicle. So, clearly, they need more data, Aravanis said.

Marc Cikes, managing director of the Debiopharm Innovation Fund, told BioSpace that while he has been heartened to see the rise of AI and machine learning usage in biopharma, the forecast remains murky in 2024.

The impact of AI for drug discovery is still largely unknown, Cikes said. The public market valuation of the few AI-drug discovery companies is significantly down versus their peak price, and a large chunk of the high-value deals announced between native AI companies and large pharmas are essentially based on future milestone payments which may never materialize.

Greg Slabodkin is the News Editor at BioSpace. You can reach him atgreg.slabodkin@biospace.com. Follow him onLinkedIn.

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JPM2024: Big Tech Poised to Disrupt Biopharma with AI-Based Drug Discovery - BioSpace

China struggles to rebound a year after lifting COVID restrictions – NPR

An appliance market in Xi'an, China, where Jiang has a construction equipment rental company. He says economic conditions are worse now than during the pandemic, when he started the appliance business, and he isn't selling as much as he used to. John Ruwitch/NPR hide caption

An appliance market in Xi'an, China, where Jiang has a construction equipment rental company. He says economic conditions are worse now than during the pandemic, when he started the appliance business, and he isn't selling as much as he used to.

BEIJING On the northern edge of Xi'an, a 45-year-old man surnamed Jiang tells a typical story of dream-chasing in China's reform era.

He left his home village at the age of 18 to work in a diamond factory in southern China's Guangdong province, a manufacturing juggernaut. The pay was decent, he says, but after a decade he was restless. So he returned home, where he started a small construction equipment rental company.

Business was fine, he said, until state-backed competitors began attracting all the contracts. So he moved again, this time to the northwestern city of Xi'an, China's onetime imperial capital, now home to 13 million people.

"My hopes were big," he says, sitting in the back of the secondhand kitchen appliance shop that he runs with his family, surrounded by refrigerators, stoves and blenders. "Slowly, though, they have been obliterated."

A year ago, China lifted draconian COVID restrictions that were an anvil around the neck of the economy and placed unprecedented controls on a society that, for the previous four decades, had grown accustomed to expanding personal freedoms, not shrinking them.

Many expected the country to bounce back quickly, with economic growth reverting to a slower but respectable mean. That hasn't happened. And as 2024 approaches, there is a crisis of confidence in China that the authorities appear to be doing little to address, instead nibbling at the edges of policy and avoiding bold steps to revive the economy and regain public trust in policymaking.

Jiang is one of several people NPR recently spoke with to try to gauge the mood in post-pandemic China and highlight how things have changed over time.

For Jiang, who did not want his full name used for fear of possible repercussions for speaking candidly to a foreign reporter, economic conditions are actually worse now than during the pandemic, when he started the appliance business, he says. He isn't selling as much as he used to.

Like many in China who have been conditioned to avoid publicly criticizing the ruling Communist Party, he chooses well-worn rhetoric absolving the leadership when asked if he thinks policy might be to blame.

"Whatever the national policy, it's meant to do good for the country and the people. You can't deny that," he said. "But as they say: The higher-ups have their policies and the lower-downs have their ways of getting around them. ... Each policy that comes from the top is discounted on the way down, and then discounted again as it goes down line. The policies are definitely good, but when they get down to the local level, they've completely changed."

At this point, Jiang's ambition the same drive that, multiplied across hundreds of millions of people, fueled China's economic rise has been sapped.

In Beijing, Joerg Wuttke has had a front-row seat to China's spectacular rise. He first came to the country as a businessman from Europe 41 years ago.

"When I was coming in '82, people took pictures with cars and paid for the picture. And now we have 5 million cars in Beijing. So it's a completely different country, with upsides but also with it downsides," he said. (The Beijing government said that at the end of 2022 there were, in fact, more than 7 million motor vehicles registered in the city, and over 12 million drivers.)

Joerg Wuttke, then the European Chamber of Commerce president, at a press conference in Beijing in 2015. Ng Han Guan/AP hide caption

Joerg Wuttke, then the European Chamber of Commerce president, at a press conference in Beijing in 2015.

I first met Wuttke a little over 20 years ago, when our offices were in the same building near Beijing's Liangma River. China had just joined the World Trade Organization. The reform-minded Zhu Rongji was premier.

"It was a China which actually was very open and could sort of give us some indications of where we're heading, you know, to a more open, liberal society. Globalization would be coming into town," said Wuttke, who has been doing business here for most of the past four decades, and lobbying for European companies as head of the European Chamber of Commerce for part of that time.

Today, he says, the Communist Party has become more dominant across society than he thinks it was when he first came to China before reform and opening really started to take off.

"For Xi Jinping, it's clear ideology trumps the economy," he says of China's current leader.

He says that's underpinned an intrusion of politics into business.

Chinese leader Xi Jinping reviews the honor guard at the Great Hall of the People in November in Beijing. Florence Lo/Pool/Getty Images hide caption

Chinese leader Xi Jinping reviews the honor guard at the Great Hall of the People in November in Beijing.

"You have party cells coming up into Chinese private enterprises. You have a far more [and] stronger party awareness on TV or radio than it was maybe in '82. So, yeah, it's, it's more ideologically driven these days than it was 40 years ago," he said.

Combined with geopolitical frictions, Wuttke says it has become "far more complex" to steer any company in China.

In November, quarterly data showed that foreign direct investment in China contracted for the first time on record. Business confidence is down, and the real estate sector is struggling, underpinning weak consumer confidence. The future is less certain than it always seemed to be. The World Bank forecasts that China's GDP growth will slow sharply in the next two years.

"I think the opening-eye moment for me came in 2022," Wuttke says. It was a year when the government hewed for too long to an unbending and unforgiving zero-COVID policy that involved heavy travel restrictions, snap lockdowns and forced quarantines. Wuttke is leaving China, though he says his decision has nothing to do with current events.

In Shanghai, that policy turned a high school teacher into an exiled dissident.

Huang Yicheng taught Chinese language and literature in a northwestern suburb of the country's most cosmopolitan city. He says he was always in favor of the idea of more freedom, but as someone who grew up in China, human rights wasn't something he spent much time thinking about.

Huang Yicheng poses during an interview with Reuters in Hamburg, Germany, in April. He grew up in China and says he never really thought of leaving. But when Shanghai was locked down, he lost faith. Fanny Brodersen/Reuters hide caption

Huang Yicheng poses during an interview with Reuters in Hamburg, Germany, in April. He grew up in China and says he never really thought of leaving. But when Shanghai was locked down, he lost faith.

Instead, "if I could live normally, go to work, have some fun, be with my family, make some money, eat, then it'd all be fine," he said.

But in the spring of 2022, the omicron variant of COVID-19 arrived and the Shanghai government ordered its 26 million residents to stay home to stop the spread. A lockdown that the authorities said would last about a week stretched for two long months.

Huang says being forcibly confined to his home felt like living on an animal farm. He felt unsafe being locked in his apartment with no control, and no end in sight. "It was really scary," he said. "It didn't feel safe."

And it changed something inside him.

"Before the lockdown, I thought Shanghai would be fine," he said. "There was a lot of bad news about the pandemic, and I knew things weren't great, but I thought bad things could happen in other places but Shanghai still had hope."

When his city was locked down, he lost faith.

"I thought everything was fake. The security and order and freedom, it could all be taken away. So I had no faith in this government, in this political system."

Later that year, when protests erupted in Shanghai and elsewhere in China against the draconian COVID policies, Huang got involved. The demonstrations became known as the White Paper Revolution, because many participants took to brandishing blank pages of A4-size paper to symbolize all that could not be said publicly in China.

Protesters hold up blank sheets of paper and chant slogans as they march to protest strict anti-virus measures in Beijing on Nov. 27, 2022. Thousands of people demonstrated across China, waving sheets of white paper to represent the country's strict censorship. Ng Han Guan/AP hide caption

Protesters hold up blank sheets of paper and chant slogans as they march to protest strict anti-virus measures in Beijing on Nov. 27, 2022. Thousands of people demonstrated across China, waving sheets of white paper to represent the country's strict censorship.

"The white paper movement really made me feel hopeful," he said. "Finally, Chinese people were coming out to resist."

He joined a crowd at an intersection in Shanghai's former French concession neighborhood, where protests had taken place the previous night. Huang says he mostly hung back. But when police cleared protesters that night, he was grabbed, roughed up and briefly detained.

Months later, after lying low, he fled to Germany.

"I had never really thought of leaving. Really. I thought, if this country's not good, you don't necessarily need to leave it. You can stay and do some small things to make change," he said.

Instead, the pandemic changed him.

Back in Xi'an, a man whom NPR first talked with a year ago is settling into his new home.

Last year, Lee Shin was squatting in an unfinished apartment he had bought nine years earlier. It was on the 28th floor and there was no electricity.

"We used a tank gas stove, and we had to fetch bottles of water from downstairs," he said. (Lee Shin is a nonstandard Romanization of a nickname he asked NPR to use because police have pressured him not to speak publicly about the construction problem at his apartment complex.)

Not long after Lee bought the unfinished apartment, construction stopped when the property developer allegedly lost money in other investments.

The problem of unfinished apartment complexes is widespread in China and the projects are called lanwei lou, Chinese for "rotten tails."

This year, the building was finally completed and Lee and his wife could fully move in. But after so many years of uncertainty, it was a letdown.

"So when we got the key and opened the door, there was no feeling of excitement. When we went in, we just wanted to cry," he says.

Outside the apartment complex where Lee Shin and his wife finally moved in after years of delay. Not long after Lee bought the unfinished apartment, construction stopped when the property developer allegedly lost money in other investments. John Ruwitch/NPR hide caption

Outside the apartment complex where Lee Shin and his wife finally moved in after years of delay. Not long after Lee bought the unfinished apartment, construction stopped when the property developer allegedly lost money in other investments.

His life plans for an early wedding, for kids were set back by years. And home prices have been falling in China amid a slow-motion crisis unfolding in the property sector, driven in part by government policies. It's unclear how the authorities will manage the fallout from collapsing developers and falling home prices.

But now, finally in their new home, surely things were looking up for Lee and his wife?

He says he has more peace in his life, for the most part. But work is bad in his field of interior design because of the property downturn, and his ambitions have been tempered. Among other things, he says he does not want to have a child now.

"I don't have any aspirations, and I don't think I want to have any aspirations anymore," he said. "None of my wishes have come true."

Aowen Cao contributed reporting from Beijing.

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China struggles to rebound a year after lifting COVID restrictions - NPR

Wisconsin was Home to a Confederate Spy, Thomas Jefferson’s Illegitimate Son and a Failed Hollywood Producer – Shepherd Express

What do a female Confederate spy, the illegitimate son of Thomas Jefferson, and a failed Hollywood tycoon have in common?

These disparate, fascinating personalities rest for all eternity in peaceful Wisconsin graveyards. Belle Boyd, the seductive Mata Hari of the Civil War, died in the Dells. Eston Hemings Jefferson, illegitimate child of President Thomas Jefferson, passed away in Madison. And Harry Aitken, the driving force behind D.W. GriffithsBirth of a Nation, eventually came home to Waukesha.

Maria Belle Boyd, born in 1844, was 16 years old when she began managing her fathers Virginia hotel. Her curvy, buxom figure enchanted Union soldiers when they arrived for lodging, or a meal and she overheard bits and pieces of private conversations as she waited on them. Belle gave General Stonewall Jackson this information on a regular basis with the help of a slave, Eliza Hopewell. The two used a hollowed-out pocket watch so Eliza could pass the messages safely across enemy lines.

When several intoxicated soldiers assaulted her mother in one of the hotels parlors, Belle pulled a pistol and killed one of the men. While awaiting trial for murder, Belle initiated a clandestine affair with Captain Daniel Kelly, and he helped her escape in the middle of the night. She was recaptured and sentenced to be hanged. Using another man, Belle escaped again, and with a set of forged documents, she arrived at the Generals camp. For her bravery, Jackson awarded her the Southern Cross of Honor. He also made her his personal aide-de-camp, which no doubt raised more than a few eyebrows.

For the next year, Belle avoided arrest by Union troops but was eventually apprehended and taken to Washington D.C.While in Old Capitol Prison, she seduced an officer named Samuel Harding and became pregnant. The couple fled to England where she supported Harding and their daughter as a music hall entertainer. Harding died unexpectedly just as Belle was finding success as an actress on Londons stages. At the end of the Civil War, she returned to the United States and earned a fortune in theaters and opera houses performing a racy melodrama of her life as a spy. She also married and divorced two ardent lovers and gave birth to four more children. Belle also published a highly fictionalized autobiography that became a bestseller. In 1900, she suffered a fatal heart attack while promoting her book in Wisconsin Dells. Only 56 years old, Belle Boyd was buried in the Dells Spring Grove Cemetery. Her autobiography and a few non-fiction books are still in print and range from $5 to $60 on eBay.

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In 1827, Thomas Jeffersons will stated that five of his slaves be freed. Among them were his mistress, Sally Hemings, and two of the children he fathered with her. Jeffersons 400 other slaves were sold to pay off the considerable debts against his estate. Sally was only one-quarter black, and occasionally her sons could pass for white. Jeffersons illegitimate son Eston, already a skilled carpenter and proficient violin player, was 19 years old upon his release from Monticello. He found lucrative employment in a Charlottesville, Virginia woodworking shop and built a house for his mother and older brother, Madison. Both brothers married, started families and lived with Sally until her death in 1835.

A few years later, Madison and Eston moved their families to Ohio, a free state and an important part of the Underground Railroad network. When the Fugitive Slave Act was enacted in 1850, Eston moved hiswife and three childrenfurther north to avoid capture by the bounty hunters.Settling in Madison, Wisconsin, Eston changed his surname to Hemings Jefferson, and the family lived comfortably in the white community.

When he passed away in 1856 at age 48, America was preparing for a war. In the waning years of the 19th century, Estons children and grandchildren faced public scorn from a handful of influential voices who challenged the family legend that connected Eston with his famous father, Finally, in 1998, a series on DNA tests proved once and for all that Eston Hemings was indeed the son of Thomas Jefferson and Sally Hemings.

Born in 1877 on a farm near Goerkes Corners in Waukesha, Harry Aitken became fascinated by the shabby, turn-of-the-century storefronts that were outfitted to show the first silent movies produced by inventor Thomas Edison. Aitken studied the business model of a nickel theater and partnered with John Freuler, a wealthy Milwaukee investor. Violating the Edison companys patents, they made their own movies and delivered them weekly to hundreds of theaters in 45 cities.

In 1908 Aitken and Freuler went to Los Angeles and built a large movie studio of their own. They offered British vaudevillian Charlie Chaplin $10,000 a week to make 20-minute comedies for their rapidly growing theater chain. When Chaplin discovered his films were grossing more than $5 million annually, the popular comedian demanded a percentage of the profit. Instead, Freuler and Aitken sold the motion picture studio, divided the considerable assets and dissolved their partnership.

Aitken used his assets to finance a groundbreaking two-hour movie proposed by a talented filmmaker, D.W. Griffith. Based on a popular racist novel,The Clansman, Griffiths epic film was titledThe Birth of a Nation, and it sold out wherever it was shown.

Without informing Aitken, Griffith made a back-door deal with Louis B. Mayer, a shrewd Boston businessman who operated a large scrap metal yard. Mayer had seen the film and immediately sensed its potential. After lining up engagements at hundreds of theaters inConnecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont, Mayer gave$25,000 in cash to Griffith. The investment returned nearly $250,000, money that legally as well as ethically should have been used to retire Aitkens outstanding loans.

Mayer became the CEO of a tiny California movie studio that he transformed into the world-famous MGM. Unable to pay of his debts, Aitken declared bankruptcy and returned to Waukesha a defeated man. His attempts to start businesses in Wisconsin were only marginally successful. The one-time movie mogul died in 1956 and was buried in Prairie Home Cemetery near the farm where he was born.

Is Harry wandering along the freeways that devoured the streets of his childhood? Is Belle still using her charms on behalf of the Confederacy? Does a man once owned by a United States president roam the town where he became truly free? Its possible

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Wisconsin was Home to a Confederate Spy, Thomas Jefferson's Illegitimate Son and a Failed Hollywood Producer - Shepherd Express

Miami Marlins announce exclusive multi-year partnership with the Caribbean Professional Baseball Confederation for … – MLB.com

MIAMI The Miami Marlins and Caribbean Professional Baseball Confederation today announce a multi-year exclusive partnership for the broadcast rights of the historic Caribbean Series (Serie del Caribe). The partnership gives the Marlins exclusive rights across all platforms globally (excluding in Dominican Republic, Mexico, Puerto Rico, and Venezuela - the Caribbean Professional Baseball Confederation member leagues), including but not limited to linear, streaming, radio and more, beginning in 2024.

The Caribbean Series is a prestigious international event, and we are excited to team with the Caribbean Professional Baseball Confederation as we look to expand the reach of the game, both in the United States and around the globe, said Caroline OConnor, Marlins President of Business Operations. With continued efforts to providing access for fans to enjoy the sport, we will work with broadcast partners to showcase the electric tournament to fans across the world who cannot join us in Miami.

One of the achievements that excites us most with this new contract, starting in Miami 2024, is the security that the Caribbean Series will have distribution in English, and of course partnering with an MLB club in the Miami Marlins, said Dr. Juan Francisco Puello Herrera, Commissioner of the Caribbean Professional Baseball Confederation. With the signing of a new contract with the Marlins, we can expect that the Organizing Committee will achieve the sponsorship objectives, thereby favoring the association of the Caribbean Series with international brands and establishing better commercial foundations for the event.

The Caribbean Series is the annual Winter League Championship Tournament, sanctioned by Major League Baseball, and will be held at loanDepot park, marking the first time it will be held at an MLB venue in tournament history. The teams that will compete in Miami will be Dominican Republic, Mexico, Puerto Rico, Venezuela and the three invited participants, Curaao, Nicaragua, and Panama. The tournament will begin on February 1, and conclude with the Championship game on February 9.

With a remarkably rich history since 1949, the tournament has seen many Hall of Famers and All-Stars participate in the Caribbean Series, including Rod Carew, Miguel Cabrera, Roberto Clemente, Edgar Martinez, David Ortiz, Ivan Rodriguez, Sammy Sosa, and many more.

For more information or tickets for the Caribbean Series at loanDepot park, visit Marlins.com/SDC.

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Miami Marlins announce exclusive multi-year partnership with the Caribbean Professional Baseball Confederation for ... - MLB.com

ULA’s first mission with its Vulcan rocket may slide to January launch window Spaceflight Now – Spaceflight Now

ULAs Vulcan rocket sits at the pad at Space Launch Complex 41 (SLC-41) ahead of the start of a wet dress rehearsal tanking test on Friday, Dec. 8, 2023. Image: ULA

The debut of United Launch Alliances Vulcan rocket may slip from late December into early January, according to the companys president and CEO, Tory Bruno. In a social media post on Sunday, Bruno said the planned Dec. 24 launch date is likely out.

The statement comes a couple days after the rocket conducted a Wet Dress Rehearsal (WDR), where the vehicle was fully fueled and went the countdown was to proceed to the final seconds before cutting off. But Bruno said a couple of routine ground issues came up near the end of the test.

Ground teams were targeting a T-0 of 4:30 p.m. EST on Friday. Based on observations of venting during the operation it appeared the countdown reached its final four minutes before an abort occurred. The Vulcan vehicle left the launch pad and returned to the Vertical Integration Facility building at launch complex 41 Saturday afternoon.

Id like a full WDR before our first flight, so [Christmas] Eve is likely out, Bruno said in his post on X. He added that they are working on schedules but Spaceflight Now understands another test has been scheduled for as soon as Tuesday.

The primary payload onboard is Astrobotics Peregrine lunar lander, which will journey to the Moon. If the launch is able to happen during the December launch window (Dec. 24-26), the lander would touch down on the Moons surface at approximately 3:30 a.m. EST (0830 UTC) on Jan. 25, 2024.

Bruno said that the next launch window based on Peregrines needs opens on Jan. 8, 2024 and would likely last for four days. Dan Hendrickson, Astrobotics Vice President of Business Development, told Spaceflight Now back in October that the nominal time from launch to landing is between 30 and 39 days. It was not immediately clear if there is a different transit time for the early January launch window.

Shifting Moon race

With the launch potentially shifting to January, that changes the landscape for Moon-bound missions. Liftoff on Jan. 8 would mean Peregrine would launch just four days before the opening of the launch window for Intuitive Machines Nova-C lander onboard a SpaceX Falcon 9 rocket.

The Japanese Aerospace Exploration Agencys (JAXA) Smart Lander for Investigating Moon (SLIM) is also making its way to the Moon and is set to land around 1520 UTC on Jan. 19.

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ULA's first mission with its Vulcan rocket may slide to January launch window Spaceflight Now - Spaceflight Now