2026-09-28 07:27 UTC
I can't wait for the #AI bubble to pop so people can stop being morons about it.
Both of the "scientific breakthroughs" made by OpenAI and Anthropic were:
1. Partially stolen from their users
2. Relied on an exhaustive hypothesis search (let's call it EHS).
The EHS part is actually great, amazing, and useful and will be useful for science. However, there is no particular unique demonstration of intelligence in either of these cases beyond what is already known that an #LLM can do.
Replies (1)
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@AeonCypher@lgbtqia.space 2026-09-28 07:54
What is EHS? Well, let's say you were trying to determine the average height. You could formulate a hypothesis that everyone Is 6 feet tall. Then measure people against that, and then use the error to update the set of reasonable hypotheses. This is basically what Bayesian data analysis is. EHS is similar, but you're basically forming a hypothesis, attempting to prove something by it, finding the contradiction, and then using that to form the next one. This existed before #LLMs, the first time I was aware of it was for the four-color theorem.