Breaking: Marcus weighs in (mostly) for LeCun
We recorded 6 claims from this post. 2 were checked against evidence. 4 can’t be checked. 8 more are held. Read the post at its source.
Claims from this post (6)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Forecast
“That said, I doubt that it will succeed, for two reasons.”
Our reading: LeCun's new company pursuing a new approach to AI will probably not succeed.
No horizon
Assessment: Can’t be checkedSaid
Observation
“LeCun talks about world models, but (because of what appears to be an ego-related mental block against classical symbolic AI, which he has always allied himself against) I don’t think LeCun actually understands what a world model needs to be.”
Our reading: Marcus does not think LeCun actually understands what a world model needs to be, which he attributes to what appears to be an ego-related mental block against classical symbolic AI.
No horizon
Qualifier: I don't think
Assessment: UnresolvedSaid
Causal claim
“My own view, which I stand by, is that we need “neurosymbolic” contributions from both traditions if we are to get to trustworthy AI.”
Our reading: In Marcus's stated view, which he stands by, getting to trustworthy AI requires neurosymbolic contributions from both the neural network and classical symbolic traditions.
No horizon Evidence as of
Limitation: The evidence provides no agreed application scope, failure tolerance, or boundary for what counts as a contribution from either tradition.
Assessment: Can’t be checkedSaid
Forecast
“It’s a genuine effort, to be praised, at trying to have a system represent the world, over and beyond mere statistics of how language gets used on the web, but it will still likely fall short.”
Our reading: LeCun's world-model approach will likely fall short.
No horizon
Assessment: UnresolvedSaid
Conditional forecast
“If LeCun pulls the same stuff in his new company, morale will be deathly low.”
Our reading: If LeCun keeps failing to credit others' work at his new company, morale there will be very low.
No deadline stated Evidence as of
Only if: if LeCun fails to acknowledge others' work in his new company
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Still for all that, LeCun’s new company is trying to explore something genuinely new and that’s what we in the field of AI desperately needs.”
Our reading: LeCun's new company is trying to explore something genuinely new, and that is what the AI field desperately needs.
No horizon
Held from this post (8)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The criteria are ambiguous. Our reading, not assessed: Marcus and hundreds of other AI researchers, including Sutskever and Sutton, have serious doubts about LLMs.
- The criteria are ambiguous. Our reading, not assessed: LeCun's world-model approach is an opaque, uninterpretable neural network that does not lend itself to reasoning.
- A review returned an unusable answer. Our reading, not assessed: AI systems need explicit, structured world knowledge to avoid hallucinations.
- The criteria are ambiguous. Our reading, not assessed: If Marcus's 2020 article is correct, a world model needs to be full of explicit, structured, directly retrievable knowledge about time, space, causality, people, places, objects, events and so on, all of which is needed for formal reasoning.
- The criteria are ambiguous. Our reading, not assessed: LeCun has worked on JEPA at Meta for the last few years with what appears to be a reasonably large team by academic standards, with not a whole lot to show for it beyond a handful of papers that don't seem earth-shaking.
- The two reviews read the claim differently
- The two reviews read the claim differently
- Attribution is uncertain