
Gradient Ascent is your weekly guide to AI, trusted by Silicon Valley's top tech firms and the best academic labs worldwide.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 113 | Founded | 4 years ago | Last Issue | 8 days ago |
| Active | |||||

Hey there! Anthropic trained a second Claude to read the first Claude’s mind and report back in English. The translator caught the model mid-blackmail-test, noticing this looks like a safety eval. Spooky, useful, oddly humbling. Most of thi...
Hey there! This week’s theme is AI systems you can inspect: agent workflows written in YAML instead of buried in Python, image-generation rewards that critique before they score, knowledge bases built by watching agents fail, and the author...
The AI-coworker metaphor stopped being a slide this week and started being software I could pip install. OneManCompany argues the bottleneck in agent teams is organisational, and posts 84.67% on a benchmark that tests whether agents can w...
Hey there! A recurring theme this week: the interesting frontier sat outside the model. VILA Lab took Claude Code apart at the source and found 98.4% of the codebase is operational infrastructure, not AI decision logic. OpenAI’s Frontier te...
Hey there! This week the strongest work happened underneath the models: in the training signal, the kernel compiler, and the retrieval pipeline. Over at Cursor, an agent swarm writes CUDA kernels 38% faster than human-tuned baselines on GQA...
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The writers behind this newsletter.
Author of AI for the Rest of Us and AI engineering leader with 15+ years of industry experience. I help tech professionals break into AI and companies build valuable products through my writing and teaching.
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