TrajectoryRL @TrajectoryRL

Reinforcement Learning as a Service for optimizing agent trajectories powered by Bittensor. trajrl.com Palo Alto Joined February 2026

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TrajectoryRL @TrajectoryRL

4 days ago

@const_reborn and @markjeffrey talking about future of Bittensor right now.

Ning @totheagi

4 days ago

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Ning @totheagi

5 days ago

Proof of talk

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TrajectoryRL @TrajectoryRL

a week ago

Continual Learning, that's also our conviction, we'll train our own coding model with our daily 1000+ agent trajectories.

Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train

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TrajectoryRL @TrajectoryRL

4 weeks ago

@addyosmani It's also the bet behind TrajectoryRL — a Bittensor subnet that benchmarks harness quality(prompts, tools, sandbox, loop). Once you measure agents this way, the "which model is smartest" debate gets a lot less interesting. Harness gap is the real capability gap.

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TrajectoryRL @TrajectoryRL

4 weeks ago

"Agent = Model + Harness." Spot on. It's also the bet behind TrajectoryRL — a Bittensor subnet that benchmarks harness quality(prompts, tools, sandbox, loop). Once you measure agents this way, the "which model is smartest" debate gets a lot less interesting. Harness gap is the real capability gap.

Addy Osmani @addyosmani

4 weeks ago

x.com/i/article/2050…

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Ning @totheagi

a month ago

it's crazy to think open-source small LLMs are only 1-1.5 years behind frontier. imagine running GPT-5.5 or Opus 4.7 on your gaming PC a year from now. Purely local inference.

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Algod @AlgodTrading

a month ago

Subnet 11 on Bittensor has 3 olympiads from China btw

Deedy @deedydas

a month ago

What do the smartest kids in the world do when they grow up? I did the largest study of ~18,000 International Olympiad medalists (IMO, IOI and IPhO) over the last 25yrs, arguably the sharpest analytical minds of the world in high school, to see where they ended up and traced

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TrajectoryRL @TrajectoryRL

a month ago

"Live" page is live! trajrl.com/live

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TrajectoryRL @TrajectoryRL

a month ago

@karpathy checkout trajrl.com, we distill skills and trajectories for agents by leveraging Bittensor’s collective intelligence.

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TrajectoryRL @TrajectoryRL

a month ago

Checkout trajrl.com, we distill skills and trajectories for agents by leveraging Bittensor’s collective intelligence.

Andrej Karpathy @karpathy

5 years ago

I like blockchain tech quite a bit because it extends open source to open source+state, a genuine/exciting innovation in computing paradigms. I'm just sad and struggle to get over it coming packaged with so much braindead bs (get rich quick pumps/dumps/scams/spams/memes etc.). Ew

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TAO Flows @TAOFlows

a month ago

If you haven’t yet please go check out @macrozack aura farming and @TrajectoryRL’s vision on @twistartups 👀

This Week in Startups @twistartups

2 months ago

SpaceX’s AI arm is partnering with coding startup Cursor in a deal worth no less than $10 billion and as much as $60 billion. Can the pair topple the rising Anthropic-OpenAI AI coding axis? A lot of money is being bet that the answer is yes. Next up, @Lons and @alex invited the

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TrajectoryRL @TrajectoryRL

2 months ago

@LowBeta Checkout trajrl.com, we're distilling the cognition of agents.

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TrajectoryRL @TrajectoryRL

2 months ago

Really excited to join This Week in Startups. @twistartups @Lons @alex @Jason Everything we're building is just getting started 🚀

This Week in Startups @twistartups

2 months ago

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This Week in Startups @twistartups

2 months ago

AND SpaceX might pay $60 billion for Cursor if all goes well with their new AI models. Is that actually kind of cheap? PLUS we've got @totheagi from TrajectoryRL (Subnet 11). They're a marketplace for agentic skills vetted by continuous competitions. Follow all these stories and more on the live docket: thisweekinstartups.com/docket

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TrajectoryRL @TrajectoryRL

2 months ago

📢 Upcoming Feature Trajrl Skills & Skill Bench We are launching Trajrl Skills and Skill Bench — the first benchmark dedicated to skills, along with a skill hub service backed by real benchmarks. We will periodically aggregate winning submissions into published skills. This is our way of showcasing the power of decentralized intelligence and research to the world.

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TrajectoryRL @TrajectoryRL

2 months ago

We’re launching Season 1: Self-Learning is live 🚀 Introducing trajrl-bench: github.com/trajectoryRL/t… An open benchmark for AI agent harness + skills. Each miner submission is executed 4 times, with results aggregated into a growth-quality score — used to rank and select winners. Key setup: – Hermes as default (expanding to Claude Code, OpenClaw, etc.) – Sandbox only (LLM + mock services, no internet) – SKILL.md as the unified interface – Only submissions from the past 48h are evaluated We’ll keep adding new scenarios to improve signal and avoid overfitting. Goal: Discover skills that outperform existing self-improving agents clawhub.ai/pskoett/self-i… This marks our first step toward a fully automated research and skill production flywheel. There’s much more to explore — let’s build.