Current RL requires a fixed environment.
One of the greatest human evolutionary ability is to notice change in the environment.
Those who couldn’t notice a new snake in the surrounding died. Survival of the fittest.
A prominent researcher introduced me to autoregressive models (
not of tokens, but of diffusion blocks).
Diffusion models have test time compute built in (for fixed length blocks). We can scale the diffusion side. Then we can also scale the auto regressive side.
Interesting!!
Internet used to be read only webpages. Once we could write, everything changed (web 1.0 -> 2.0)
Today LLMs mostly “read” from their training learnings. They don’t write and update their learnings yet. Once they do, everything will change
Environments we raise AI in will matter
Hollyyyy shit. Grok-4 is gooood!
A pretty complex bug to do with streamed audio chunks for inline transcriptions.
Sonnet 4 thinking on @cursor_ai couldn’t figure it out for an hour (6-7 tries)
Grok did it in one shot!
Saved me 1 cent per minute from pipecat lol.
Future of work:
created architecture docs and implementation plan for ai integration in AGENTS md using @cursor_ai . Now I’m gonna give it to @OpenAI Codex to build it while I’m white water rafting in Denver
Did this an hour before my flight. Almost missed it lol
Rockefeller, Carnegie, JP Morgan bought the election and made William McKinley president.
- McKinley was big on tariff.
- his VP Teddy Roosevelt becomes president
- Teddy trust busts.
They put teddy in as VP because they thought he was their puppet and incompetent.
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