Metaschief AI scientist thinks large language models will never reach human intelligence. <\/p>\n
Yann LeCunasserts that artificial intelligence (AI) large language models (LLMs) such as ChatGPT have alimited grasp on logic, the Financial Times (FT) reported Wednesday (May 21). <\/p>\n
These models, LeCun told the FT, do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan...hierarchically. <\/p>\n
He argued against depending on LLMs to reach human-level intelligence, as these models need the right training data to answer prompts correctly, thus making them intrinsically unsafe. <\/p>\n
LeCun is instead working on a totally new cohort of AI systems that aim to power machines with human-level intelligence, though this could take 10 years to achieve. <\/p>\n
The report notes that this is a potentially risky gamble, as many investors are hoping for quick returns on their AI investments. Meta recently saw its value shrink by almost $200 billion after CEO Mark Zuckerbergpledged to up spendingand turn the tech giant into the leading AI company in the world. <\/p>\n
Meanwhile, other companies are moving forward with enhanced LLMs in hopes of creating artificial general intelligence (AGI), or machines whose cognition surpasses humans. <\/p>\n
For example, this week saw AI firmScaleraise $1 billion in a Series F funding round that valued the startupat close to $14 billion, with founder Alexandr Wang discussing the companys AGI ambitions in the announcement. <\/p>\n
Hours later, the French startup called H revealed it had raised $220 million, with CEO Charles Kantor telling Bloomberg News the company is working towardfull-AGI. <\/p>\n
However, some experts question AIs ability to think like humans. Among them isAkli Adjaoute, who has spent 30 years in the AI field and recently authored the book Inside AI. <\/p>\n
Rather than speculating about whether the technology willthink and reason, he views AIs role as an effective tool, stressing the importance of understanding AIs roots in data and its limitations in replicating human intelligence. <\/p>\n
AI does not have theability to understandthe way that humans understand, Adjaoute told PYMNTS CEO Karen Webster. <\/p>\n
It follows patterns. As humans, we look for patterns. For example, when I recognize the number 8, I dont see two circles. I see one. I dont need any extra power or cognition. Thats what AI is based on. Its the recognition of algorithms and thats why theyre designed for specific tasks. <\/p>\n
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Meta AI Head: ChatGPT Will Never Reach Human Intelligence - PYMNTS.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Metaschief AI scientist thinks large language models will never reach human intelligence. Yann LeCunasserts that artificial intelligence (AI) large language models (LLMs) such as ChatGPT have alimited grasp on logic, the Financial Times (FT) reported Wednesday (May 21). These models, LeCun told the FT, do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan...hierarchically Continue reading