THOR Group @THORMachines

Home of Open Source Robotics thormachines.ai Joined February 2025

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THOR Group @THORMachines

a day ago

Robotics training data needs to reflect the environments where robots will work. @haitzu on THOR’s open data marketplace at Exploit Summit: “If these robots need to be everywhere, what we need to do is to get as many people from around the world contributing that data.”

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THOR Group @THORMachines

2 days ago

The people helping robots learn should be rewarded for their work, whether collecting, annotating or verifying training data. Open networks and crypto incentives can help make that happen at scale. Thanks @0xSammy for the breakdown. Full report via @KhalaResearch

0xSammy @0xSammy

a week ago

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THOR Group @THORMachines

2 days ago

"If a VLM can do these annotations, then a lab would self-annotate." Where general-purpose VLMs still struggle, labs have to look elsewhere: tracking a hand hidden behind an object, labelling a cup going from full to empty, marking where one action ends and the next begins. The specialists who do this well are scattered and hard to find. THOR is building an open marketplace connecting labs with the specialists who can do the work.

Varun Nair @_varunnair

3 days ago

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THOR Group @THORMachines

3 days ago

Shenzhen is the home for hardware AI

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THOR Group @THORMachines

3 days ago

Data is THOR's entry point. Serving labs builds the revenue, expertise and relationships behind our wider vision across robotics models and open-source hardware. More on the robotics data market, what labs need and where THOR fits: thormachines.ai/docs/market/th…

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THOR Group @THORMachines

3 days ago

The embodied AI data market is forecast to grow from an estimated $536M in 2025 to $4.9B by 2032. Roughly 9x in seven years. But volume alone isn't enough. A demonstration recorded for one robot arm can be useless to a lab training a different one. Labs need data cut into individual actions, labelled with language instructions and checked for consistency, all to their own spec. THOR starts with what the lab needs, then turns those requirements into paid annotation and verification tasks for providers on Bittensor. Outputs are checked against the lab’s specifications. We're building so labs can scale their data operations without coordinating every provider themselves.

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0xSammy @0xSammy

a week ago

High-quality human demonstrations will become invaluable as robots learn to perform more of our everyday tasks Decentralized crypto incentives are primed to coordinate contributors globally + reward useful training data The table compares peaq, THOR, BitRobot + Axis: what each produces, who pays + how value could reach the token Our latest @KhalaResearch report breaks down the opportunity below Expect more to come as this market segment heats up! So turn notis on and we welcome any feedback on our report below!

Khala Research @KhalaResearch

a week ago

Robotics is still waiting for its "ChatGPT" moment Language models had the internet to learn from, while robots need diverse physical demonstrations that are expensive to collect Bessemer estimated just 300,000 hours of robot manipulation data globally in April, while others

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THOR Group @THORMachines

a week ago

@richardmuirhead We should talk. We’re building an open-source hub for robotics, starting with data annotation and verification.

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THOR Group @THORMachines

a week ago

This is why we’re building THOR around robotics data, in the open. Serving demand for annotation and verification builds revenue, expertise and customer relationships that compound as we pursue our vision across models and hardware. We’re building for where robotics goes next.

Vance Spencer @pythianism

a week ago

The winning robotics data business has a much higher terminal value than investors are underwriting today. Robotics will be a long race with many twists and turns, but when the ChatGPT moment hits, the winning data player will be in a very strong strategic position to capture

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THOR Group @THORMachines

a week ago

Join our Telegram community to ask questions, follow progress and help shape what we build. t.me/THORMachines

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THOR Group @THORMachines

a week ago

Robots have no equivalent of the internet to learn physical work from. THOR’s mission is to build that foundation in the open. Annotation is where that journey begins. Read our manifesto: thormachines.ai/manifesto/

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THOR Group @THORMachines

4 weeks ago

@SubnetSummerT thanks @SubnetSummerT 🤝

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Jack Ai-Leung @haitzu

4 weeks ago

Pylon Partners has acquired SN112 on Bittensor to launch THOR Group, a robotics holding company for data, models and hardware. You've seen the headlines: robotics is deeply bottlenecked across data, models and hardware. The race for Physical AI is nowhere near complete, and my firm will ensure @THORMachines plays a critical role for the this new revolution I started THOR Group because I believe that globalisation and shared collaboration will accelerate robotics research for everyone, not just the major labs To achieve this, we will partner with the best of Bittensor to build critical infrastructure that researchers and roboticists need to help usher in physical AI. At the request of investors and researchers in industry, THOR Group will start with THOR Data, encompassing human demonstration + simulation data sourced by our vast network. I look forward to sharing our progress from the last few months This is day one for THOR.