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Imitation learning is great, but needs us to have (near) optimal data. We throw away most other data (failures, evaluation data, suboptimal data, undirected play data), even though this data can be really useful and way cheaper! In our new work - RISE, we show a simple way to... show more

Abhishek Gupta

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20,612 Aufrufe • vor 8 Monaten •via X (Twitter)

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🤷What if we want to learn from human data... without human data? In our work NIL (No-data Imitation Learning) #CVPR2026, we explore a simple but ambitious question: Can robots learn directly from AI-generated videos without any curated demonstration data? 🔗

🤷What if we want to learn from human data... without human data? In our work NIL (No-data Imitation Learning) #CVPR2026, we explore a simple but ambitious question: Can robots learn directly from AI-generated videos without any curated demonstration data? 🔗

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So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

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🚨Byron Donalds says Floridians should EMBRACE data centers. “You're going to have data centers. We need to embrace that, not run away from that. We have actual land in our state that is still pristine, available to use. We can build up that stuff. I would rather build a data center in one of these deals or probably FOUR data centers.”

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Asked Rafael Stone about lineup data that suggests the Rockets have been better without Jalen Green this season: "That's a really flawed question. There's great data that we have and we use. I can make data say whatever I want it to say. We heavily use it, but we're careful."

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Abhishek Gupta

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The US Department of Energy mapped out all of the current data centers, data centers under construction & data centers currently in the planning stages. We’ve heard for years how vulnerable our grid is. Now we are supposed to believe that it can withstand all of this new demand?

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Derrick Evans

69,828 Aufrufe • vor 2 Monaten

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Zach Wilson

20,368 Aufrufe • vor 1 Jahr

Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

144,324 Aufrufe • vor 6 Monaten