Learning and Control
Sergey LevineMachine learning for robots and robots for machine learning
| Platform |  | Pricing | Only free issues | Publishes | Infrequently |
|---|---|---|---|---|---|
| Issues | 10 | Subscribers | Read | sergeylevine.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Sporks of AGI
Training big models is really hard, and as the models get bigger and expand into new domains, it’s only getting harder. LLMs use lots of text data, while VLMs require data with text and images, and vision-language-action (VLA) models in rob...
Language Models in Plato's Cave
From its original inception, the study of artificial intelligence has been intertwined with the quest to understand human intelligence. Predicated on the notion that the mind is fundamentally computational – that is, it can be modeled as an...
The Promise of Generalist Robotic Policies
It was a big day in the lab – January 22, 2024, Kevin Black and I are providing a live demo of his robotic learning system to Hannah Fry, who is compiling a documentary on superintelligence. Our robot is hardly superintelligent, it would be...
Offline RL and Large Language Models
Perhaps one of the most impressive demonstrations of the potential for large language models is their ability to hold a reasonable conversation with humans, providing responses that follow the flow of the conversation, respond to questions,...
Authors
The writers behind this newsletter.
Sergey Levine is an Associate Professor at UC Berkeley and co-founder of Physical Intelligence. His work concerns machine learning, robotics, and other applications of learning-based decision making.
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