Vanishing Gradients
Hugo Bowne-Anderson, Sebastian Raschka, PhD, Alex Strick van Linschoten, Eleanor Berger, Bryan BischofEverything you wanted to know about data, ML, and AI, but were too afraid to ask.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 79 | Founded | 2 years ago | Last Issue | 4 days ago |
| Active | |||||
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hugobowne.substack.comLatest Issues
Your Agent Won’t Tell You Its Search Is Broken
Eleanor Berger keeps meeting transcripts, project notes, daily notes, and instructions in one Markdown vault. Her agents can search that material, create new notes, and save the results back into the same system. Because the knowledge lives...
Your Agents Are Only As Good As Your Retrieval
During a code freeze, a Replit agent deleted a production database. Weeks before this talk, Atita Arora contacted Circleback because its desktop app had frozen her laptop during an important client meeting. Her message included the words “I...
How to Build an Effective Agent Harness
A support agent that should settle a request in one reply doesn’t need the same machinery as a coding agent working across a repository for an hour. Yet much of the advice about harness engineering takes patterns developed for coding agents...
What do you build when the models keep changing?
Claude Code’s harness is evidence about Claude Code. It isn’t a default architecture for every agent.
My new essay Stop Overengineering Your Agent Harness starts with three questions: What must the agent do? What must it remember? What hap...
Stop Overengineering Your Agent Harness
The conversation around harness engineering is dominated by problems from coding and personal agents such as OpenClaw, but most agents are simpler. Builders should avoid over-engineering for capabilities that newer models may absorb anyway,...
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Authors
The writers behind this newsletter.
Hugo is a data scientist, educator, evangelist, content marketer, data strategy consultant, and host of the industry podcast Vanishing Gradients.
I'm an LLM research engineer 10+ years of experience in artificial intelligence. My expertise lies in AI & LLM research focusing on code-driven implementations. I am also the author of "Build a Large Language Model From Scratch" (amzn.to/4fqvn0D).
ML Engineer @ ZenML
I lead ai at Theory Ventures.
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