A DEF CON community focused on the security and safety of physical AI systems and robotics —machines that move, sense, decide, and act in the real world

Joined May 2026
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Replying to @IlirAliu_
100 designs running side by side with zero changeovers is impressive. With AI agents routing every board, trusted coordination becomes part of quality control.
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Replying to @MarioNawfal
Adorable, open source, and built to be tweaked. Our kind of robot 🤖 Sharing the results is how the whole community makes these better and safer.
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Replying to @XRoboHub
Real homes at real pace is exactly what robots need to learn from. It's also 2M hours of people's kitchens. That data deserves vault-level care.
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"What gets retested when its software changes?" is the question most demos skip. We'd add one more: who's allowed to change it.
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Replying to @adcock_brett
Sharing the all-hands publicly is a rare move. Respect. Would love to see security alongside the roadmap as Figure scales this fast.
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Replying to @TheHumanoidHub
Clean recap of the call. "We need on the order of 10k Optimus bots" for data. That pipeline will be worth protecting as much as the hand.
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One of the most honest physical AI deployment reviews we’ve seen. But “they retain the data they collect for training purposes” — in your home. That line deserved more attention. 👀
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Replying to @rar2028
I like the fact that it joins the trend. Hope the security features come with it the same way.
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Congrats on Digit 5's 10:1 run-to-charge design. Faster cycles mean denser fleet ops — and denser remote-update windows to harden. 🤖
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Congrats on Spot going global with Coca-Cola. Plant-roaming fleets for leak hunts also widen the remote-ops and telemetry attack surface — lock those paths down. 🤖
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Replying to @BostonDynamics
Watching Atlas come together in-house is a treat 🤖
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Appreciate the pointers. Patching the hub firmware just to keep up with full IMU and compass rates is the unglamorous part nobody posts about. Going to dig into that DroneCAN module 🚩
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