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| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 1437 | Founded | 6 years ago | Last Issue | 3 days ago |
| Active | |||||

How GPU derivatives could reshape the economics of AI
TLDR: AI companies fear rising GPU rental prices while GPU operators fear falling ones, and GPU derivatives are an attempt to turn that disagreement into a market that makes compute cos...
Gemini 4 Argon, Carbon, and Timestral match models to the job
TLDR: Useful AI increasingly depends on matching the model, its inputs, and its feedback to the job. Gemini 4 Argon turns inputs such as photographs into finished artifacts thro...
Absolute Zero and the search for useful difficulty
TLDR: A fixed dataset quietly decides what a model gets to practice, so the next step in recursive self-improvement is letting models generate their own curriculum. Absolute Zero grounds p...
We continue our series about recursive self-improvement.
We discuss another robotics company.
We dive into Google’s new Gemini models and Mistral’s Timestral.
In our opinion section, we dive...
How video prediction becomes a control policy and why touch changes the equation
TL;DR Rhoda AI is betting that predicting short sensory futures can organize robot behavior, with a separate inverse dynamics model turning each predicted fut...
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The writers behind this newsletter.
Co-Founder, CTO-CPO of Sentora (fmr IntoTheBlock), Co-founder of NeuralFabric(small models acq by Cisco), LayerLens,( AI evals) Firelight(DeFi insurance). Teaching at Columbia-Wharton.
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