Peter Chen @peterxichen
Covariant CEO and Co-Founder. Previously @OpenAI, @UCBerkeley PhD. Joined December 2017-
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Peter Chen retweeted
Couldn’t recommend FAR enough. Had such a great experience interning there this summer!
Couldn’t recommend FAR enough. Had such a great experience interning there this summer!
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Peter Chen retweeted
We're hiring interns (and full-times) all year long! Please email me if interested.
Peter Chen retweeted
Our robotics team will be at ICRA next week in Atlanta! Having started a new research team at Amazon building robot foundation models, we're hiring across all levels, full-time or intern, and across both SW and Research roles. Ping me at [email protected] and let's have a chat!
Peter Chen retweeted
Basics of Deep RL tutorial I am still very happy with, as good a day as any to re-post :) youtube.com/playlist?list=…
Very much agree with @alexgkendall - learning from the history of self driving is necessary for anyone that’s serious about ai and robotics. Demo is easy but real-world reliability is hard. Overfitting with elaborate hardware is easy but building generalized intelligence is…
Very much agree with @alexgkendall - learning from the history of self driving is necessary for anyone that’s serious about ai and robotics. Demo is easy but real-world reliability is hard. Overfitting with elaborate hardware is easy but building generalized intelligence is…
Peter Chen retweeted
These sorts of any-to-any (and any subset) models are definitely the future. Cool to see. Congrats @pabbeel @rocky_duan @peterxichen et al.!
These sorts of any-to-any (and any subset) models are definitely the future. Cool to see. Congrats @pabbeel @rocky_duan @peterxichen et al.!
It was great to show @geoffreyhinton foundation models meeting robotics at Covariant HQ!
It was great to show @geoffreyhinton foundation models meeting robotics at Covariant HQ!
Peter Chen retweeted
AI winter? No. Even if GPT-5 plateaus. Robotics hasn’t even started to scale yet. Embodied intelligence in the physical world will be a powerhouse for economic value. Friendly reminder to everyone that LLM is not all of AI. It is just one piece of a bigger puzzle.
AI winter? No. Even if GPT-5 plateaus. Robotics hasn’t even started to scale yet. Embodied intelligence in the physical world will be a powerhouse for economic value. Friendly reminder to everyone that LLM is not all of AI. It is just one piece of a bigger puzzle.
Peter Chen retweeted
Synthetic data is the future! The advantage of synthetic data is the ability to control the data distribution, but not avoid real world data... you still require real world data to augment or train the generation engine.
Synthetic data is the future! The advantage of synthetic data is the ability to control the data distribution, but not avoid real world data... you still require real world data to augment or train the generation engine.
Peter Chen retweeted
.@CovariantAI's RFM-1 model: The robot fails to suction grasp the socks. Then, thru internal dialogue, it devises a strategy of picking up the socks by the paper label. This adaptive behavior is hard to program with code, let alone scale it to more bots, objects & situations.
Peter Chen retweeted
resonates with my own experience: robot demo --> INSANE PAIN --> robot creating value in production luckily I am hopeful we have by now paid most of our dues at Covariant :)
resonates with my own experience: robot demo --> INSANE PAIN --> robot creating value in production luckily I am hopeful we have by now paid most of our dues at Covariant :)
Peter Chen retweeted
“We believe there will be a huge breadth of robotic form factors. Different types of hardware for different use cases— this all depends on frequency, speed, cost of installation, etc." - @peterxichen at @NVIDIAGTC
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