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We haven't seen the robotics chatGPT moment yet
Humanoids in particular are starting to look fantastic, but they still don’t understand our world
LLMs have decades of text to learn; physical AI begins with little data, then collides with the full complexity of the real world
There is a huge gap to be closed
Right now these machines are being taught the rules and shown specific tasks, eventually they get out into the world and 'learn on the job'
A demonstration of these niches in crypto x robotics
Some of these projects overlap categories and this is not a complete list but rather a selection of established examples for demonstration
Training
Teleoperation, reinforcement learning, and embodied AI pipelines that teach robots skills
Projects: @BitRobotNetwork, @PrismaXai, @NRNAgents
Why it matters: Robots need teachable skills before they can learn autonomously, and these pipelines give them their first foundations
Real world data Collection
Decentralized sensor & geospatial networks capturing real-world data
Projects: @NATIXNetwork, @GEODNET
Why it matters: Real-world intelligence depends on real-world data, and these networks supply the sensory fuel machines need
Robot deployments
Spatial computing and multi-robot orchestration in real-world environments
Projects: @Auki
Why it matters: Real-world deployments are one of the next steps to accelerating machine intelligence, but they’re economically and practically difficult, which makes Auki planning numerous retail rollouts next year a major move
Machine Economy
Infrastructures for machine identities, economic activities, coordination
Projects: @peaq
Why it matters: Identity and on-chain coordination give machines the autonomy to transact, collaborate, and operate without constant human oversight
Operating Systems
Software layer that coordinates and controls autonomous machines
Projects: @openmind_agi, @codecopenflow
Why it matters: By providing a shared intelligence layer, they give machines the structure to learn, collaborate, and operate at scale
On the crypto side at least, many people look for robotics attention as very short term, short lived sector
Attention will have waves, but overall, still a long way to go to reach max potentials
And in the near term, you can see what the current pain points are and what to watch in the journey to achieve it
For more expansive coverage and regular updates, keep an eye out for State of the Machines, my newsletter covering physical AI, robotics, and all overlapping sectors