Godfather of AI Yann LeCun says: Yes, LLMs may be passing Maths Olympiads and bar exams, but they will still fail in …

Godfather of AI Yann LeCun says: Yes, LLMs may be passing Maths Olympiads and bar exams, but they will still fail in …

AI News - General 10 min read Article

Summary

Yann LeCun, a prominent AI researcher, discusses the limitations of large language models (LLMs) despite their successes in exams, emphasizing their inability to replicate human-like understanding and adaptability in real-world scenarios.

Why It Matters

LeCun's insights highlight the ongoing challenges in AI development, particularly in creating systems that can learn and adapt like humans. This is crucial for understanding the future of AI applications, especially in areas like autonomous driving and education.

Key Takeaways

  • LLMs can excel in structured tasks like exams but lack real-world adaptability.
  • Human learning involves observation and interaction, which AI currently cannot replicate.
  • AI should be viewed as a tool to enhance human capabilities, not replace them.
  • Countries with younger populations may lead in AI innovation with proper investment.
  • LeCun criticizes the notion that AGI can emerge from a single organization.

EditionININUSEnglishEnglishहिन्दीमराठीಕನ್ನಡதமிழ்বাংলাമലയാളംతెలుగుગુજરાતીWeatherSign InTOIToday's ePaperLiveNewsTechnology NewsTech NewsGodfather of AI Yann LeCun says: Yes, LLMs may be passing Maths Olympiads and bar exams, but they will still fail in …TrendingChinese Humanoid RobotsEA Server DownElon MuskApple iOS 27OpenclawAnand MahindraMackenzie ScottDavid GreeneGoogle Chromes UpdateSridhar VembuChinese Humanoid RobotsEA Server DownElon MuskApple iOS 27OpenclawAnand MahindraMackenzie ScottDavid GreeneGoogle Chromes UpdateSridhar VembuChinese Humanoid RobotsEA Server DownElon MuskApple iOS 27OpenclawAnand MahindraMackenzie ScottDavid GreeneGoogle Chromes UpdateSridhar VembuGodfather of AI Yann LeCun says: Yes, LLMs may be passing Maths Olympiads and bar exams, but they will still fail in …TOI Tech Desk / TIMESOFINDIA.COM / Feb 20, 2026, 21:05 ISTCommentsShareAA+Text SizeSmallMediumLarge Former Meta AI scientist and one of the godfathers of modern artificial intelligence (AI), Yann LeCun, has revealed another task in which humans can beat the technology. Speaking at the India AI Impact Summit 2026, he said that large language models, while "incredibly useful," still fall short on tasks like driving that humans can handle with relative ease. LeCun acknowledged that AI systems can pass the bar exam and perform well in Maths Olympiads but said a more fundamental gap remains, noting that the technology still lags behind real-world intelligence."We certainly do not have self-d...

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