“Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories”
LLMs can learn inside the context window, but that knowledge disappears when the session ends.
This paper from google adds a sleep phase where the model consolidates short-term memories into long-term weights using Knowledge Seeding.
Then it dreams by generating RL-trained synthetic data to rehearse new knowledge and reduce forgetting. Creating a continual-learning LLM that can self-modify instead of staying frozen after pretraining.
Today we introduce OASIS 1. The smart ring built for private dictation. Whisper to write. Touch to edit. A first step beyond the keyboard toward a world where your intent follows you across every device. Order at https://t.co/gZieZw6vYJ first batch is limited.
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
Announcing the hosted X MCP.
Agents now have access to the best real-time information source in the world.
Connect Grok, Cursor, or any MCP-compatible AI tool to the X API without any setup!
Check it out here: https://t.co/5MzPYwGFzD
OpenClaw is now on iOS + Android 🦞
📱 Native mobile apps, finally
💬 Agents in your pocket
🔔 Channels, tasks, replies on the go
Run agents from wherever your thumbs are.
iOS: https://t.co/7LHHc9htgM
Android: https://t.co/X0Wuh2uA8w