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Introducing FrontierPhysics - a benchmark evaluating agents for end-to-end physics research
Our core team from physics labs at Berkeley, Caltech, and Harvard recruited 42 physicists from 26 institutions. 28 of them published papers on Nature, Nature Physics, PRX, PRA*
1/7 🧵View quoted post on X
I asked 36 people in AI who to talk to if you're selling a private dataset, like a shut-down startup's data:
19 votes: micro1 (@aliansarinik)
9 votes: Mercor (@BrendanFoody, @adarsh_exe, @suryamidha)
5 votes each:
- Handshake (@GarrettLord, @benmchristensen, @scottringwelski)
- SF Data (@brandonguo, @faizsiddiqii)
4 votes: Surge (@echen)
3 votes each:
- AfterQuery (@CarlosGeorgescu, @spencermateega)
- Ooak Data (@PLouisV, @ThomAub, @adeRL_g)
2 votes each:
- DataVendor (@seeklis, @parth220, @jayendra_ram)
- Grepped (@eriknewsha)
- Nyne (@michaelfanous1, Emad Fanous)
- Standard Data
36 people voted. People couldn't pick a company they work at or founded. Grepped received one negative vote as well. Disclosure: on this list, I'm a small investor in AfterQuery, Fleet, Ionic, Nyne, Ooak Data, Patronus, and SF Data. I didn't vote.
Continued:View quoted post on X
Meet AutoRouter, the most intelligent way to pick models
You’re wasting tokens selecting frontier models for every prompt, and sometimes for worse performance
AutoRouter handles the decision layer:
- Understands the prompt request
- Picks the best model fit for the task
- Saves you money at every turn
- Plugs into your current setup
Works with your plans & every leading model inside Codex/Claude Code
Beta is live: autorouter.comView quoted post on X
Same reason they’re not good at design… and when they get good we’ll shift our definition of good and they won’t be again…View quoted post on X
