Build better agents with better environments. Backed by Sequoia Capital, Menlo Ventures, and SVA.
Gym
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fleet retweeted
We do much more than sell training-data! And we are much much farther ahead than the numbers here show
Happy to see us recognized. Towards being the most profitable neolab! More soon
Every single startup selling AI Training Data (July 2026)
>50 cos sell data and RL environments to big AI labs and drive AI progress behind the scenes.
They total ~$8.5B in rev and ~$100B in valuation, >75% of which are just 4 players: Scale, Surge, Mercor and Handshake.
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fleet retweeted
Ending ICML with a word of appreciation <3
We got to celebrate the six members of our research team with accepted work, from testing the ability of agents forecasting the future to finding novel LLM privacy attacks
we also got to meet many incredible researchers along the way <3
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fleet retweeted
Excited to cohost "Forecasting as a New Frontier of AI" with Haifeng & co. We have an incredible lineup of speakers, sponsors, and (soon) papers.
See you shortly in Korea!
Check out our ICML-26 workshop (@icmlconf) on Forecasting as a New Frontier of AI, co-organized by our lab and multiple frontier players @rsalakhu (from recently launched Sooth Labs), @EzraKarger (from @Research_FRI) and @nicoup (from @fleet_ai)
Website: forecasting-workshop.github.…
Paper submission: openreview.net/group?id=ICML…
@UChicagoCS @DSI_UChicago
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fleet retweeted
Check out our ICML-26 workshop (@icmlconf) on Forecasting as a New Frontier of AI, co-organized by our lab and multiple frontier players @rsalakhu (from recently launched Sooth Labs), @EzraKarger (from @Research_FRI) and @nicoup (from @fleet_ai)
Website: forecasting-workshop.github.…
Paper submission: openreview.net/group?id=ICML…
@UChicagoCS @DSI_UChicago
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fleet retweeted
excited to announce that I will be giving a spotlight talk at the Claude Code conference!
tune in to learn about how to build self-driving companies with AI (and a sneak peak at some the work we've been doing over at @fleet_ai)
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fleet retweeted
Excited to share new benchmarking work from @fleet_ai & friends.
We challenge frontier models to draw!
Surprising, across the entire frontier, models are really bad. The ways they fail can teach us about how AI perceives our world 🧵
Models can do hard math and write complex code.
But ask them to replicate a simple drawing step-by-step and they often break basic spatial constraints.
Preview results from our new benchmark: Printing Machines
Made with @jerryzhou and @fleet_ai
printingmachines.ai/blog/pri…
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fleet retweeted
Honored to be co-hosting and judging the OpenEnv Hackathon with @Meta Superintelligence Labs, @PyTorch, @huggingface & more.
If you want to break into RL envs and post-training (also maybe win the 10k prize @fleet_ai is sponsoring), this is the best place to start!
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vibe-engineering
Deep Think is an absolute feat.
AI models are starting to pour out of the digital world and confront reality. Just as AI scientists are now controlling labs, we will soon see AI manufacturers designing parts and running autonomous factories. Proud for @fleet_ai to play a role in this shift
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