Comment by pixl97
20 hours ago
I don't think you're paying much attention to how rapidly things like bipedal robots, and just robots in general are becoming far more capable very quickly.
The same GPU compute for LLMs runs robotic training models. Now in a few hours you can train a robot model that would have taken months 5 years ago. This model gets dumped into an actual physical robot with sensors all over and the suitability of the model is measured on robot tasks and the error in real world actions is fed back into the robot world model for further training.
> There have been experiments where an AI is given control of managing something like a vending machine
You sure you're not talking about experiments ran a couple of years ago? The more modern ones are getting wild.
https://techcrunch.com/2026/07/29/claude-opus-5-became-downr...
I don't quite understand the leap you're making between stochastic AI models for robotics (maybe with an LLM making api calls to it) and embodied AI / the rate of progress towards a singularity. Because they're both trained on a GPU? Up until 2022 GPUs were for video games and mining crypto, and neither of those produce a synergy that accelerates progress towards general intelligence either.
can you share more about the robotics advances, what you are aware of? sounds very exciting.
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