Comment by blibble
6 days ago
> If you won't accept my anecdotal stories about this, consider the fact that both Gemini and OpenAI got gold medal level performance in two extremely well regarded academic competitions this year: the International Math Olympiad (IMO) and the International Collegiate Programming Contest (ICPC).
it's not a fair comparison
the competitions for humans are a display of ingenuity and intelligence because of the limited resources available to them
meanwhile for the "AI", all it does is demonstrate is that if you have a dozen billion dollar data-centres and a couple of hundred gigawatt hours, which can dedicate to brute-forcing a solution, then you can maybe match the level of one 18 year old, when you have a problem with a specific well known solution
(to be fair, a smart 18 year old)
and short of moores law lasting another 30 years, you won't be getting this from the dogshit LLMs on shatgpt.com
Google already released the Gemini 2.5 Deep Think model they used in ICPC as part of their $250/month "Ultra" plan.
The trend with all of these models is for the price for the same capabilities to drop rapidly - GPT-3 three years ago was over 1,000x the price of much better models today.
I'm not yet ready to bet against that trend holding for a while longer.
> GPT-3 three years ago was over 1,000x the price of much better models today.
right, so only another 27 years of moores law continuing left
> I'm not yet ready to bet against that trend holding for a while longer.
I wouldn't expect an industry evangelist to say otherwise
I'm a pretty bad "industry evangelist" considering I won't shut up about how prompt injection hasn't had any meaningful improvements in the last three years and I doubt that a robust solution is coming any time soon.
I expect this industry might prefer an "evangelist" who hasn't written 126 posts about that: https://simonwillison.net/tags/prompt-injection/
(And another 221 posts about ethical concerns with how this stuff works: https://simonwillison.net/tags/ai-ethics/)
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