Gemini 4 Argon taught a robot to play cornhole just by watching a video.

It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row.

Oct 13, 2026 · 6:41 PM UTC

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Replying to @GoogleDeepMind
@Apptronik By turning video into a training ground for physical AI, Argon compresses weeks of manual modeling into just a few hours. ↓

goo.gle/3VxIB7v
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RepliesRelevant
Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik The link between AI and real-world robotics keeps getting more interesting.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Watch video, map physics, generate simulation, train policy 🦾
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik I’m going to need the robot on my team at the next cookout.
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Replying to @GoogleDeepMind
@GoogleDeepMind i wonder if apollo used any misses to update the simulation between throws.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik The cornhole is the fun part. The real story is Argon writing its own sim and doing system ID from one human video. If that generalizes, the slowest part of training humanoids just got a lot faster, for Apollo, Optimus, everybody.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Pretty cool. Especially the robots understanding the game. LLMs are still the king of generalization and reasoning tasks
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik learning physics from a single video is impressive, but cornhole is a closed system with fixed rules. the gap to generalize this to tasks where the rules aren't visible in one example is still wide.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik A humanoid sinking seven cornhole throws in a row because Gemini watched a video and wrote its own physics sim is kinda nuts

What a time to be alive
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik The robots nailing cornhole before laundry tells you exactly who's funding them
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Was Gemini 4 Argon also used to train the bots to reply and boost this post?
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Next lesson: miss occasionally so people keep inviting you.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 7 in a row is cool, but the real number is how many throws it took to get there, and the post skips it.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Would be scary when it goes rouge and throws a grenade at you with that precision
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 7 throws in a row 2 inches away from the hole 🤣
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Writing its own sim from a video is the crazy part. We do the boring version on CNC: run the real firmware in sim first, and it catches stuff a G-code preview never shows. How close were the sim throws to the real ones?
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Just acquire Apptronik already 😂
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik How many tries did it need in the sim before it made real throws?
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Gemini 4 Argon watched one cornhole video, figured out the physics, and taught a robot to sink seven in a row. The watching-and-learning bit is what used to take a robotics team forever. I still miss the bag on purpose
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik I'd put a different bag in its hand and move the board for the next run. Keep the misses in the video, too. That would tell us more about the physics it learned than another perfect streak.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik First our jobs then our corn hole entertainment what is even left for the humans???
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik teaching it cornhole before laundry is a bold choice 😭
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik it wrote its own physics sim before throwing a single bag, which is more prep than any human has put into cornhole
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 7 bags in a row after one video is the flex. My coding agent still needs two tries to cd into the right folder.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik I’ve watched hours of cooking videos and still burn toast. This feels personal.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik watched one video and sank 7 straight. i've played cornhole at every bbq for years and never done that lol
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik The 7-in-a-row is the flashy bit. What I want is whether Argon checked the sim against real throw physics before Apollo ran, or if it just optimized until the video looked right. Those are different products.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 7 in a row is better than my cornhole average. curious how many video demos it needed before the sim matched real throws
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik A self-built simulator could turn one demonstration into many practice attempts without using the robot.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Wow🎉 Very nice. But not sure about establishing physics simulation was the right strategy... My guess, inverse kinematics and fuzzy logic could be more organic perhaps faster way...
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 27 feet...not 2 feet, ur boy needs to use chatGPT & check the rules.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik 7 in a row is better than every uncle at every barbecue ever lol 😂😂😂😂😂
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Crazy. Problem is robots will become as stupid as us or even more, because they will be better at stupidity as well than us.
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik Watch once, build its own sim, then practice. Pretty much how we learn too 😄 7 in a row is better than most of us at a backyard party
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik still far from an actual general rationalization…
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Replying to @GoogleDeepMind
@GoogleDeepMind @Apptronik why the indian accent?
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