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Yann LeCun
Computer scientist, AI researcher
ai (5)
ai-governance (5)
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ai-regulation (4)
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ai-ethics (3)
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Should we ban future open-source AI models that can be used to create weapons of mass destruction?
Yann LeCun strongly disagrees and says:
I see the danger of this concentration of power through proprietary AI systems as a much bigger danger than everything else. What works against this is people who think that for reasons of security, we should keep AI systems under lock and key because it’s too dangerous to put it in the hands of everybody. That would lead to a very bad future in which all of our information diet is controlled by a small number of companies who proprietary systems. (2024) source Verified -
Should we all participate in shaping the future of AI and the post-artificial general intelligence era?
Yann LeCun strongly agrees and says:
Human feedback for open source LLMs needs to be crowd-sourced, Wikipedia style. It is the only way for LLMs to become the repository of all human knowledge and cultures. source Unverified -
Should a UN-led body oversee compute-intensive AI development like the IAEA does for nuclear technology?
Yann LeCun strongly disagrees and says:
Calls for a global A.I. regulator modelled on the IAEA are misguided. Nuclear technology is a narrow, slow‑moving domain with obvious materials to track and a small set of state actors; A.I. is a broad, fast‑moving field with millions of researchers and developers worldwide. A U.N.-led, IAEA‑style body that ‘oversees’ compute‑intensive A.I. would be unworkable in practice and harmful in principle: it would freeze progress, entrench incumbents, and starve open research — all while failing to stop bad actors who won’t participate. What we need instead is open science, open models, and targeted rules for concrete harms. Safety and robustness should be advanced by more eyes on the code and more researchers able to test and improve systems — not by a centralized global authority trying to police computation itself. (2023) source Unverified -
Should humanity build artificial general intelligence?
Yann LeCun agrees and says:
I don't like the phrase AGI. I prefer human-level intelligence because human intelligence is not general. Internally, we call this AMI-advanced machine intelligence. We have a pretty good plan on how to get there. First, we are building systems that understand the physical world-which learn by watching videos. Second, we need LLMs to have persistent memory. Humans have a special structure in the brain that stores our working memory, our long-term memory, factual, episodic memory. We don't have that in LLMs. And the third most important thing is the ability to plan and reason. (2024) source Unverified -
Should a CERN for AI aim to build safe superintelligence?
Yann LeCun disagrees and says:
AI could theoretically replace humans, but it is unlikely due to societal resistance. Humans would remain in control, effectively becoming the 'boss' of superintelligent AI systems. [...] He downplayed fears of a doomsday scenario caused by AI, labeling them as sci-fi clichés, and argued that current AI advancements are not close to achieving superintelligence. He suggested that to mitigate misuse and unreliability in AI, the focus should be on creating better AI systems with common sense and reasoning capabilities. (2025) source Unverified