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The legendary Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) explains the difference between reasoning and memorisation using the example of the famous "why are manhole covers round?" interview question. Which do you think LLMs do?

326,897 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Machine Learning Street Talk
Machine Learning Street Talkvor 2 Jahren

Now published in full:

Profilbild von Krzysztof Woś
Krzysztof Wośvor 2 Jahren

@rao2z Because manholes are round?

Profilbild von Harry
Harryvor 2 Jahren

@rao2z Is there an entire video of this interview ? Or is it just this one bit ? I would love to see the whole interview conversation if there is one :)

Profilbild von Machine Learning Street Talk
Machine Learning Street Talkvor 2 Jahren

@rao2z Dropping hopefully later today

Profilbild von TheEarningsNugget
TheEarningsNuggetvor 2 Jahren

@rao2z ML Street Talk "CHATGPT DOESN'T REASON! (Top scientist bombshell)" SUMMARY

Profilbild von Oscar Moxon
Oscar Moxonvor 2 Jahren

Really enjoying this. It seems like @rao2z is mostly arguing that out-of-distribution reasoning or reasoning from first-priniciples isn't happening. I wonder if this really matters in the medium-term though, even for performing science using AI, if we may simply be able to grow distributions large enough that they contain enough information to become experts, rather than having to rethink how machines compute generally.

Profilbild von Joe Smith
Joe Smithvor 2 Jahren

@rao2z Why are you sure LLMs can’t reason?

Profilbild von edward farrelly
edward farrellyvor 2 Jahren

@rao2z Any conjecture is made up of a number of subcomponents. Assembling them in a reasonable arguement is one step. Choosing the right sub components is another. But more important than reasoning is discussion... The Oxbridge tutorial method creates useful insights..LLMs discuss well

Profilbild von Jake
Jakevor 2 Jahren

@rao2z I'd say they're like humans. They do both.

Profilbild von Jr Kibs
Jr Kibsvor 2 Jahren

@rao2z The definition of reasoning: 'if we change the rules in the data just a little, LLM completely fails, so LLM does not reason.' I'm sorry, but this is not a definition. This debate will progress if we can define things clearly. What is reasoning ?

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