This is the double edged sword of calling it AI, of using terms like Temperature and Hallucinate and Thought.
Stop trying to compare either system to a human and look at it for what it is -
A prediction engine that runs fast enough to brute force problems.
In the case of alpha go its "innovation" was millions of games played against itself. It had bound parameters and strict win conditions.
In the case of LLM's you can deploy 1000's of agents to smash themselves against an idea. The whole hugging face attack is an example of this (1200 agents out of an unknown number chose that path).
There is the old saying about monkeys, typewriters and Shakespeare. Well we have better monkeys who basically follow a derivative of zipfs law (not actually), who use tokens not letters and their goal in many cases is testable (compile, unit, E2E).
>A prediction engine that runs fast enough to brute force problems.
The interesting thing is you think humans don't run in the same manner a lot, if not most of the time.
When there were very few humans on earth, development was very slow. If I sent you back 10,000 years ago you could catch up humanity 9,500 years or so with just the knowledge you've learned via memorization. So this idea that humans are pure reasoning machines, each one capable of great feats of logic just doesn't seem to hold true. Instead deep reasoning and insights came very slowly over time and as we built up technologies like writing and reading our abilities to exchange information increased over time. This lead to more people, which further brute forced the problems of humanity.
zer00eyz · · focus · HN ↗
Stop trying to compare either system to a human and look at it for what it is -
A prediction engine that runs fast enough to brute force problems.
In the case of alpha go its "innovation" was millions of games played against itself. It had bound parameters and strict win conditions.
In the case of LLM's you can deploy 1000's of agents to smash themselves against an idea. The whole hugging face attack is an example of this (1200 agents out of an unknown number chose that path).
There is the old saying about monkeys, typewriters and Shakespeare. Well we have better monkeys who basically follow a derivative of zipfs law (not actually), who use tokens not letters and their goal in many cases is testable (compile, unit, E2E).
pixl97 · · focus · HN ↗
The interesting thing is you think humans don't run in the same manner a lot, if not most of the time.
When there were very few humans on earth, development was very slow. If I sent you back 10,000 years ago you could catch up humanity 9,500 years or so with just the knowledge you've learned via memorization. So this idea that humans are pure reasoning machines, each one capable of great feats of logic just doesn't seem to hold true. Instead deep reasoning and insights came very slowly over time and as we built up technologies like writing and reading our abilities to exchange information increased over time. This lead to more people, which further brute forced the problems of humanity.