5,105 karma · joined June 11, 2019
If you were home and a family member asked you that question, you'd probably criticise the question rather than answering. LLM are RLHF'd into being milk-toast helpers that just try to answer questions like that with no criticism.
This is all beside the fact that the world of AI has changed pretty dramatically in the last few months.
I'm gonna need you to look at the capex obligations they've undertaken in the last 12 months. They are definitely not being frugal. If they are behind, its not for lack of spending.
This is literally the economic bet of the big labs in the broader economy. You use your relative advantage to front run or outcompete.
I'm not sure this argument will work given it is essentially an argument against the thesis the big labs use to justify their valuations.
There is almost always a large amount of time and effort invested behind the scenes in exactly how to message things like this. That being the case, there is almost always some insight to be had criticizing and analyzing what they settled on.
I disagree with this definition of AGI, and I disagree that chess skills significantly benefit from generalizing non-chess knowledge, outside of computing moves probabilistically.
AGI has historically been defined as human level or better, with generality to new domains. I think blurring it with ASI makes the terminology confusing to use.
Chess is learned rules and the ability to apply those rules. Strategy as a whole is applying a set of rules to circumstances, that's how it is taught: "here are examples of circumstances and actions, try to pattern match to future circumstance and apply commensurate action."
If you make the point that chess is a large part of the training data, or that LLMs are unable to learn chess well, I'll accept that as refuting that LLMs are AGI, but these other points I disagree with.
AGI != ASI. You are confusing the two.
The illegal move aspect has more to do with a failure of online/in-context learning, which would support your point. I tend to think it is a byproduct of reasoning in language, which newer architectures would fix, but we shall see.
I have to disagree with this pretty strongly. Opus 4.5 needed a lot of handholding not to work itself into a corner pretty quickly. Fable I basically never need to correct, and I've most become a data source.
Is a wheel a weapon because a tank uses it? I wouldn't consider the difference pedantry.
2) The US didn't use chemicals weapons in Vietnam. Agent Orange was used to kill off foliage, not as a weapon against people, and the side effects were unintentional and affected US troops as much as Vietnamese.
Edit: I originally noted WW2, but I was thinking of WW1's widespread use of things like mustard gas, and the resulting Geneva agreements.
Is this not true of technology as a whole? Very little of technology's breadth exists at the human interface. Most of it is made specifically to interface with other technologies, either to make them safer or increase their capabilities. That AI is making AI safer and more useful is no more notable than trucks being used to build roads.
That's plainly false, as that's just not how markets work over the long term. We only see distortions like this iver the short term due to investor subsidies.