OpenAI paired its Astra proof claims with Lean certificates and a public repository. That makes the results checkable, but it does not make the unreleased model or peer review disappear.
The current examples of AI could never be described as a general intelligence let alone Superintelligence. These LLMs are definitely just a typing monkey (that was eloquently put).
They are literally generating text word by word with a next-word-prediction methodology.
With some tweaking they can be made to produce mostly coherent code and apparently also equations that balance. This does not make these algorithms geniuses. A calculator can also balance an equation, so that alone is not impressive.
The techniques LLM designers use to leverage statistical models in order to generate coherent sentences are actually rather impressive. It is legitimately quite a feat to make LLMs work as well as they do. But that does not mean that these outputs are anything like “thinking”, they’re just outputs. Data goes in, the machine churns, does some mystery math, and different data comes out.
Depends how you define superintelligence, what I meant is a more specialized superintelligence than AGI. We already seen that with Go and Chess. But if AI overtakes humans in mathematics it takes on a different quality. But we will see. I doubt it stops here.
the machine churns, does some mystery math
Yeah, the sauce is in the mystery math. See my other reply. You’re making a category error.
Holy shit. If an AI actually solves a Millennium Prize Problems we’re seriously entering superintelligence (but not AGI) territory.
In any case this should disprove the “AI is just a statistically typing monkey” theorem some AI skeptics are fond of.
The current examples of AI could never be described as a general intelligence let alone Superintelligence. These LLMs are definitely just a typing monkey (that was eloquently put).
They are literally generating text word by word with a next-word-prediction methodology.
With some tweaking they can be made to produce mostly coherent code and apparently also equations that balance. This does not make these algorithms geniuses. A calculator can also balance an equation, so that alone is not impressive.
The techniques LLM designers use to leverage statistical models in order to generate coherent sentences are actually rather impressive. It is legitimately quite a feat to make LLMs work as well as they do. But that does not mean that these outputs are anything like “thinking”, they’re just outputs. Data goes in, the machine churns, does some mystery math, and different data comes out.
These systems are not worth anthropomorphizing.
Depends how you define superintelligence, what I meant is a more specialized superintelligence than AGI. We already seen that with Go and Chess. But if AI overtakes humans in mathematics it takes on a different quality. But we will see. I doubt it stops here.
Yeah, the sauce is in the mystery math. See my other reply. You’re making a category error.