9:16 PM
Today in brief.
Memory that works: Claude dreaming + Stanford Memorilla
Two memory systems landed the same day: Claude now reorganizes its notes offline, and Stanford packs a whole document store into 16 tokens.
BioBasicsBench: can agents read a wet-lab gel?
OpenAI shipped a 100-task wet-lab benchmark with Ligo, and Anthropic posted how AI is starting to write and revise scientific models as code.
Closed models took back the price-performance frontier
Village's Atlas says open-weight models are the best buy at only 3% of budgets now, down from 41% in June.
DeepMind agents find cracks in legacy RSA
Human-guided DeepMind agents uncovered two weaknesses in old 1024-bit RSA, a concrete example of AI speeding up cryptanalysis.
GPT Image 2.6 is live in Runway
Runway added GPT Image 2.6 with faster gens, GIFs, SVG export, and tighter character edits.
A 32MB speech model that runs in your browser
Underdog's Woof is a ~32MB text-to-speech model that speaks offline in a browser demo, open weights included.
Embodied weekend: a humanoid cleans, Claude paints
MIT Tech Review watched a humanoid clean an apartment, and Claude drove a robot arm to paint a watercolor while mixing its own colors.
Try local: a tiny embedding killer and Arete-27B
LocalLLaMA's weekend shelf: a 0.1B embedding model that beats much larger ones in a user test, plus Nous Arete-27B.
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