stevenydc's profile picture. macrodata refiner @openai prev: HFT @weHRTyou

blog: https://syin.bearblog.dev/

Steven Yin

@stevenydc

macrodata refiner @openai prev: HFT @weHRTyou blog: https://syin.bearblog.dev/

Pinned

Ads aren't inherently good or evil. They are fundamentally a market for attention. Attention is humanity's ultimate scarce resource. Our goal should be to allocate it as efficiently as possible.


Hype

Over the past few months, OpenAI models crossed a threshold: we’re seeing early/small-scale but repeated examples of GPT-5 meaningfully contributing to novel research. AI is the next great scientific instrument, and it benefits every field. Progress accelerates when researchers…



kv cache is the new ads real estate


🦄

Here at @OpenAI we've cracked pretraining, then reasoning, and now we're experimenting with a new set of techniques that maximally leverage their interaction. GPT-5 is just the first step in this direction, and we're incredibly excited to see where scaling this up will lead us!

SebastienBubeck's tweet image. Here at @OpenAI  we've cracked pretraining, then reasoning, and now we're experimenting with a new set of techniques that maximally leverage their interaction. GPT-5 is just the first step in this direction, and we're incredibly excited to see where scaling this up will lead us!


There are regulations, and there are etiquettes. This exists in sports, finance, AI research job hunting. These things are technically not in the rules, but if you break them people are going to be mad at you. The alpha is in knowing when to break them. (not financial advice)


Meta is giving classic CitSec vibe these days. Zuck is the new KennyG


We needed internet scale data for pre-training, now we need planetary scale environments for RL.

Why you should stop working on RL research and instead work on product // The technology that unlocked the big scaling shift in AI is the internet, not transformers I think it's well known that data is the most important thing in AI, and also that researchers choose not to work…

_kevinlu's tweet image. Why you should stop working on RL research and instead work on product //
The technology that unlocked the big scaling shift in AI is the internet, not transformers

I think it's well known that data is the most important thing in AI, and also that researchers choose not to work…


Steven Yin reposted

There are times when it feels like we've been doing thousands of years of philosophy just to prepare for the current moment.


Humans started with an intuitive understanding of "water": feels wet, becomes solid when cold, tastes like nothing etc. But eventually we formalized "water" with H2O. We all have an intuitive feel for "intelligence", one day we are going to formalize it into ... ?


Race to the bottom in AI pricing is a sign of no product market fit: if we have found truly economically valuable tasks for AI to do we would all happily pay $10,000/million-tokens. People obviously wouldn't want to pay if all they are doing is solving AIME puzzles.


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