Evidence receipt / belief
Published · transcript-backedGary Marcus: belief
24 Jun 2025 Machine Learning Street Talk Three Red Lines We're About to Cross Toward AGI (Daniel Kokotajlo, Gary Marcus, Dan Hendrycks)
“If you can have the neural networks reliably call the tools that they want or that they should be calling relative to the problem, I should say, then you're golden. I think empirically it is a bit hard to get the tools to work reliably.”
Source trail
Everything needed to verify it.
- Speaker
- Gary Marcus
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 24 Jun 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…Okay. You you could think I'll just say a couple more sentences there. 1 of the first attempts at this strategy was to put an LLM into Will from Alpha as the which is a totally symbolic system, right? Not Will from Alpha, into Mathematica. And the results were were hit or miss, right? And the problem was on the interface getting to the tools. If you can really reliably get to the tools then you have a neurosymbolic system that works, right? If you can have the neural networks reliably call the tools that they want or that they should be calling relative to the problem, I should say, then you're golden. I think empirically it is a bit hard to get the tools to work reliably. So that's helpful because I think that sort of collapses a lot of your barriers into 1 barrier, which is reliability. Because perhaps you would agree that if we can get them to We should come back…
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