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@fleet_ai

Build better agents with better environments. Backed by Sequoia Capital, Menlo Ventures, and SVA.

5 Following2.2K Followers14 Posts
  1. fleet@fleet_ai
    fleet
    RT @nicoup: We have seen a growing and concerning trend of startups supplying data to China. Today we are taking a public stance against this practice At fleet, we believe this represents one of the largest national security threats today and must be stopped. We must win the AI race for America and shape AI with the same democratic values that have shaped our nation Our full statement here:
    Anna Tong @annatonger
    The AI arms race isn’t just being fought over Nvidia chips. Chinese labs are matching OpenAI and Anthropic by purchasing the exact same data from US vendors like @mercor and Surge AI (who also work with the US federal govt)
    021020
  2. Anna Tong✓@annatonger
    The AI arms race isn’t just being fought over Nvidia chips. Chinese labs are matching OpenAI and Anthropic by purchasing the exact same data from US vendors like @mercor and Surge AI (who also work with the US federal govt)
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  3. fleet@fleet_ai
    fleet
    RT @nicoup: Cyber is entering an unprecedented era. @fleet_ai is honored to sign and to support @openai's efforts!
    Greg Brockman @gdb
    An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft, OpenAI, and Oracle.
    06015
  4. Greg Brockman✓@gdb
    An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft, OpenAI, and Oracle.
    4116854K1.4M
  5. fleet@fleet_ai
    fleet
    RT @nicoup: 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
    Deedy @deedydas
    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.
    011016
  6. Deedy✓@deedydas
    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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    1751882.4K854K
  7. fleet@fleet_ai
    fleet
    RT @nicoup: 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
    08013
  8. fleet@fleet_ai
    fleet
    RT @nicoup: Excited to cohost "Forecasting as a New Frontier of AI" with Haifeng &amp; co. We have an incredible lineup of speakers, sponsors, and (soon) papers. See you shortly in Korea!
    Haifeng Xu @haifengxu0
    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: Paper submission: @UChicagoCS @DSI_UChicago
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  10. fleet@fleet_ai
    fleet
    RT @nicoup: 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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  12. fleet@fleet_ai
    fleet
    RT @nicoup: Excited to share new benchmarking work from @fleet_ai &amp; 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 🧵
    James Zhou @jameszhou02
    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
    01103
  13. James Zhou✓@jameszhou02
    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
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    1495232.6K
  14. fleet@fleet_ai
    fleet
    RT @nicoup: Honored to be co-hosting and judging the OpenEnv Hackathon with @Meta Superintelligence Labs, @PyTorch, @huggingface &amp; 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!
    01202
  15. fleet@fleet_ai
    vibe-engineering
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    Nicolai Ouporov @nicoup
    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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  16. Nicolai Ouporov✓@nicoup
    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
    451619.5K
  17. fleet@fleet_ai
    Today we are highlighting Fred - a former customer turned founding engineer Hear about his journey from Global Head of AI at Macquarie to Founding Member of Technical Staff, in his own words:
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  18. fleet@fleet_ai
    Posts @fleet_ai
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