Phil Chen

@philhchen

Building something new. Previously research @openai @GoogleDeepMind @scale_AI @Stanford

Joined August 2022

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Phil Chen
@philhchen
Apr 21
I’ve started a new company with @tkkong! TK is a driving force behind a lot of Ramp’s success, building much of the core product, incubating the procurement platform, and leading Ramp Labs. We’re a team of IMO and Physics Olympiad gold medalists, and we’re hiring the most
TK Kong
@tkkong
Apr 21
I’ve started a new company with @philhchen! Phil built frontier LLMs across research & engineering at OpenAI, DeepMind, and Scale. I was shipping AI experiments at Ramp Labs. We've been heads down building personalized AI coworkers for every business. We’re growing our team
Phil Chen
@philhchen
Aug 18
jax-ml.github.io/scaling-book/ read it now, thank me later
Archie Sengupta
@archiexzzz
Aug 17
learn about inference engineering as fast and deep as you can
Phil Chen
@philhchen
Aug 17
model routers today are solving the wrong problem.  the goal of a router is to select the model with the best ROI for solving your problem.  the issue with router companies today is they don't know how you measure your ROI. the same "solve Riemann hypothesis, you can do it!"
Phil Chen
@philhchen
Aug 16
Codex computer history is pretty cool. Each event is stored as a JSON with the AX (accessibility) tree representing the contents of the window. These events are grouped into events.jsonl and metadata.json files for every 10-minute window. Codex summarizes these events into
Ari Weinstein
@AriX
Aug 14
We've gotten a lot of great questions on privacy implications of Computer History. Here's a few things we've done to build a super powerful feature while keeping things private. First off, you can review all of your Computer History in the timeline view:
Phil Chen
@philhchen
Aug 14
I think all current long-horizon agent designs are wrong because they underestimate the jaggedness of agent intelligence. in a jagged-intelligence frontier, agent productivity is bottlenecked by the tasks models can't do, whether due to access or skill. long-horizon