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.
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It was basically sort of thought to be career suicide. Like of course we know AI doesn't work. You know, we tried it in the 90s, places like MIT and it was a dead end. You know, and that was the prevailing view. But we just felt the small band of us felt that that actually with the right ideas and using learning systems, reinforcement learning and betting on neural networks that a lot of fast progress could be made.
Semafor
world models AI systems that learn from site and sound to understand and simulate how the real world works over time, predicting what happens next and letting us interact with those simulated futures.
The Business of Tech
If a robot slides politely out of a doorway to let you pass, it might make you feel seen and acknowledged. If a robot marches quickly towards you and avoids you at the last second, it might cause revulsion and fear. Robots are beginning to show up in our everyday environments, from sidewalks to offices, backyards to hospitals, and they will be threatening and confusing to us if we do not carefully examine how they move.
Katie Kwan — TED Radio Hour