a controversial opinion i hold deeply is that AI is not superhuman at writing (and isn't close) there are 10x and 100x human writers. here's a random excerpt from David Foster Wallace, widely agreed to be one of the greatest modern writers if you sincerely think anything…
Everyone vote for o3-mini type model to be open-sourced please 🥺🥺🥺 We can distill or quantize a phone sized model dw the open-source community will work its magic!!
for our next open source project, would it be more useful to do an o3-mini level model that is pretty small but still needs to run on GPUs, or the best phone-sized model we can do?
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I don’t think I’m better than other people but I definitely think my *taste* is just objectively superior I have so much confidence in my aesthetic opinions it’s frankly delusional
I think anyone who has ever made anything great needs to have a smidgen of subclinical narcissism, that when asked “do you think you’re better than everyone else”, the answer is “yes, I do and I am.”
xAI Deep Research for summarizing all the bookmarks you never got around to reading. generates a comprehensive report that you can bookmark for later
I think over the next decade we’ll see the idea of different body parts having different specialties (eg gut, heart, head) experiencing a dewooification. today they’re chakras and energy centers and stuff and I think we’ll start talking about them more as computational ASICs
To an LLM, a novel discovery is indistinguishable from an error.
This question is even more puzzling and salient given the existence of Deep Research
Transformers can overcome easy-to-hard and length generalization challenges through recursive self-improvement. Paper on arxiv coming on Monday. Link to a talk I gave on this below 👇 Super excited about this work!
Inspired by @karpathy and the idea of using games to compare LLMs, I've built a version of the game Codenames where different models are paired in teams to play the game with each other. Fun to see o3-mini team with R1 against Grok and Gemini! Link and repo below.
I quite like the idea using games to evaluate LLMs against each other, instead of fixed evals. Playing against another intelligent entity self-balances and adapts difficulty, so each eval (/environment) is leveraged a lot more. There's some early attempts around. Exciting area.
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