Robit now accepts robinhood:0x368580343a637b8b91d27c8a8be124f534329a30 for product usage.
You can use the token to spin up GPUs and pay for evaluation runs, with discounted pricing for token payments.
This is the first step toward tying real product usage back into the token.
More of the flywheel coming soon.
We’re also expanding model support, adding more evaluation workflows, and shipping more across the platform over the next few weeks.
https://t.co/QcxSyIl2Yd
HERE WE GO 🚨
@that1618guy permanent CR2 guest ✅
1.618 is the golden ratio. it's also in his handle, so the segment named itself
the golden ratio with the founder of @stateofblocks:
every tuesday, 16:15 utc, LIVE on X w/ Chill Pill & R2D2
🚨 BREAKING:
Meta reportedly has built a prototype humanoid robot, in partnership with Chinese startup @FourierRobots.
Fourier is one of China’s most capable humanoid hardware companies, sophisticated bipedal platforms, strong actuator supply chains, deep manufacturing expertise.
I've met them couple of times, and was really impressed with the robots. Their roots are in exoskeletons + rehab robotics.
The robot is called Max, and here’s what we know about it:
→ Built in approximately three months
→ Weighs around 106 pounds (48 kg)
→ Meta is already building a second version
→ Meta has no plans to sell these units
→ Framed internally as the physical embodiment of Meta’s Muse agent (@alexandr_wang bring it on!), designed for household tasks
For Meta, partnering with a Chinese hardware company to build a prototype is the fastest path to having something physical to work with while its AI and software teams develop the intelligence layer.
This isn’t a manufacturing robot, but rather home robot. Similar move to acquisition of Fauna Robotics by Amazon earlier this year.
Meta is building a physical body for its AI agent, the same way a phone is a physical body for an operating system.
Every major AI lab (Sam Altman also announced that will reveal a humanoid robot in 2027) is arriving at the same conclusion.
The next frontier is not software on screens. It’s AI in the physical world.
It was first reported by @theinformation (@jyoti_mann1).
Watch this space very closely! 👀
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
Point robit at any LeRobot policy on @huggingface
It reads the env off the repo, checks the model/task pair is actually runnable, spins a serverless GPU, runs the episodes, hands back raw per-episode results + video.
https://t.co/BX8YKJr18H
add risk early. manage risk mid. cut risk late
@that1618guy says we’re mid stage 1. we’ll ask him what he’s adding
CR2 ep 03: robinhood’s 100 days, grant rumours & robots that borrow
thu oct 15, 15:30 utc · LIVE on X
@ripchillpill & @R2D2zen · powered by @Moshdottrade
Announcing the beta release of the Pi API. We’ve partnered with companies across diverse industries to adapt our models to their robots and applications, from harvesting strawberries to assembling servers. Now we’re opening access to more teams.
@Punk9277 We’re building Robit in robotics/Physical AI infra.
The product is live: run robot policies across tasks and simulators, evaluate them on GPUs, inspect rollouts, compare models, stress-test failures, and turn useful episodes into the next training loop.
Would love to chat.
Yep, robot policies.
Robit is building the infra to actually test whether those policies work: run them across tasks and simulators, watch rollouts, compare models, stress-test failures, and measure what improves.
Product is live now, and we’re pushing toward the full sim → eval → data → post-train loop.
Andy, you should take a look at the Mosh eco and robinhood:0x368580343a637b8b91d27c8a8be124f534329a30.
We’re building actual Physical AI infra, simulation, model evals, benchmark runs, failure analysis, GPU workloads, and eventually post-training.
Product is live, still early, and we’re shipping fast.
Robotics still feels underpriced as a narrative here.
We’re building robinhood:0x368580343a637b8b91d27c8a8be124f534329a30 around actual Physical AI infra, simulation, evals, benchmark runs, failure analysis, GPU workloads, and eventually post-training.
Still early, but product is live and we’re shipping fast.
@Moshdottrade@BundleCatAI eco
https://t.co/1efvMAxxvr
Robit public V1 is now live at https://t.co/QcxSyIl2Yd
You can top up credits, pick a model, task and simulator, run GPU-backed evaluations, watch rollouts, and compare how different policies perform.
This is just V1.
More simulator support, robustness evals, data workflows, benchmarking, and post-training use cases are rolling out in V2 and through this month.
Building it in public from here.
robinhood:0x368580343a637b8b91d27c8a8be124f534329a30