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Its bet is that studying how humans engage with robots produces both better interfaces and possibly a different kind of robotic brain. The public robots.online experiment lets users try text, audio, demonstrations, and other interaction patterns while the company observes how people naturally attempt to get machines to do things.

Packy McCormick
2d ago

Clippord has no maps or specific data on the office layout as a reference; it's approximating its own size, and how to handle obstacles, entirely from a corpus of video game usage data, topped off with 8 minutes of real-world data collected on the sidewalk below.

1mo ago

But one reason that I think it quite underrated, and also which reveals the canyon walls against which the river of AI progress will only slowly chip away at, is that it is not enough for a domain to be verifiable. It also has to be very grindable—in the sense that you can run lots of parallel rollouts against a deterministic and replayable simulator.

1mo ago

Imagine if it took a couple decades worth of courses with hundreds of concurrent professors and millions of practice tasks for you to learn how to polish a word file. Even the task count difference understates the gap - the models have to grind their far more numerous tasks each far harder. Whereas a human student might practice a textbook problem once or twice, GRPO has the model generate hundreds to thousands of rollouts per task.

1mo ago

naive policy gradient RL has to figure out which of the 100k+ tokens in your trajectory actually got you the right answer, while AlphaGo's MCTS suggests a strictly better action every single move, giving you a training target that sidesteps the credit assignment problem.

2mo ago

The reason they believe robots haven't generalized like LLMs isn't that the models aren't smart enough, but that the data has been a fraction of a percent of what humans naturally generate every day, captured through interfaces that distort the very behavior they're trying to record.

2mo ago

The implant works by recording electrical signals from the brain's motor cortex, then using machine learning to decode the user's intended movements and send signals to stimulate the muscles, essentially creating a new neural pathway that bypasses the damaged tissue.

4mo ago

AI agents need world models that allow them to predict the consequences of their actions before they take them. This is key to enabling agents that can plan, remember, and reason about complex observations.

4mo ago

Underscored — save the words that stop you in your tracks.

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