2 ms·
>Francois never claimed to be a neuro-symbolic believer His response: "This has been the most promising branch of approaches so far -- leveraging a LLM to hel
by z7 2y ago
>Francois never claimed to be a neuro-symbolic believer
His response:
"This has been the most promising branch of approaches so far -- leveraging a LLM to help with discrete program search, by using the LLM as a way to sample programs or branching decisions. This is exactly what neurosymbolic AI is, for the record..."
"Deep learning-guided discrete search over program space is the approach I've been advocating, yes... there are many different flavors it could take though. This is one of them (perhaps the simplest one)."
https://x.com/fchollet/status/1802773156341641480 https://x.com/fchollet/status/1802773156341641480
- YeGoblynQueenne 2y agoThat kind of neuro-symbolic AI is a bit like British cuisine: place two different things next to each other in the same plate, like bangers and mash, and call it "a dish". Nope. This is neurosymbolic AI: Abductive Knowledge Induction From Raw Data https://www.doc.ic.ac.uk/~shm/Papers/abdmetarawIJCAI.pdf https://www.doc.ic.ac.uk/~shm/Papers/abdmetarawIJCAI.pdf That's a symbolic learning engine trained in tandem with a neural net. The symbolic engine is learning to label examples for the neural net that learns to label examples for the symbolic engine. I call that cooking! (Full disclosure: the authors of the paper are my thesis advisor and a dear colleague).
- deleted 2y ago[deleted]
- whiplash451 2y agoIndeed. Francois Chollet himself said during his interview with Dwarkesh that he is not against LLMs and in fact believes that the long-term solution mixes LLMs with something else which has not been discovered yet (his bet is on discrete program search but is open to anything else). Pitching him against LLMs in such a binary fashion is deceiving and unfair.