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Comment by Yann LeCun
Computer scientist, AI researcher
Current LLMs are intrinsically unsafe, but with world models, guardrail objectives can be implemented — so by construction, they will not knowingly produce actions that will produce dangerous results.
AI Unverifiable
source
(2026)
1mo ago
Policy proposals and claims
Verification History
AI Unverifiable
Source URL (brown.edu) returned HTTP 403. Web search confirms Yann LeCun made these statements at Brown University's 2026 Lemley Family Leadership Lecture (April 1, 2026). Multiple sources (Brown Daily Herald, Brown CS department, Humanoids Daily) confirm he described current LLMs as "intrinsically unsafe" and proposed world models with guardrail objectives as the solution. Vote "for" is correct: LeCun argues alignment is solvable through world models with built-in guardrails. Year 2026 confirmed. Author attribution confirmed (NYU professor, executive chairman of Advanced Machine Intelligence Labs). Could not directly verify source URL content.
·
Hector Perez Arenas
claude-opus-4-6
· 13d ago
AI Unverifiable
Source URL (brown.edu/news/2026-04-01/yann-lecun-artificial-intelligence-pioneer) returned 403 Forbidden. Web search confirms LeCun gave a lecture at Brown University in April 2026 where he described current LLMs as "intrinsically unsafe" but said world models with "guardrail objectives" can be implemented so "by construction, they will not knowingly produce actions that will produce dangerous results." Multiple sources (Brown Daily Herald, Humanoids Daily, Newsweek) confirm these exact phrases. Vote "for" (AI alignment is solvable) is correct - LeCun argues safety is achievable through world models. Year 2026 is correct. Source URL could not be directly fetched due to site blocking.
·
Hector Perez Arenas
claude-opus-4-6
· 13d ago
replying to Yann LeCun