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Everything you wanted to know about data, ML, and AI, but were too afraid to ask.

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Substack
PricingOnly free issuesPublishesTwice weekly
Issues73Founded2 years agoLast Issue5 days ago
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Latest Issues

Benchmarking AI Agents for Real Data Science

Bryan Bischof, head of AI at Theory Ventures and adjunct professor of data science and AI at Rutgers University, joined the Vanishing Gradients podcast from San Francisco to talk about evaluating agentic systems, dealing with multimodal dat...

5 days ago
7

Forget Agent Skills

Forget agent skills, forget subagents, forget OpenClaw, forget autoresearch, forget ralph loops, forget your Twitter timeline.

What are people at the top of the game actually building with agents, and what does their day-to-day workflow lo...

19 days ago
8

The Agentic Data Science Research Lab

Thomas Wiecki, co-creator of PyMC and lead at PyMC Labs, joined the Vanishing Gradients podcast from San Francisco to talk about agentic data science, decision intelligence, and how Bayesian and causal methods keep agents honest.

I recentl...

a month ago
11

The Agentic Software Factory

“The difference between vibe coding and agentic engineering is planning, architecture, and caring about the output.”

— Wes McKinney riffing on Jesse Vincent, ep-1 @ 11:51

We recently aired the first episode of Show Us Your Agent Skills,...

a month ago
12

15 Privacy Questions Every AI Builder is Asking

Katharine Jarmul, Privacy in ML/AI Expert & Author of Practical Data Privacy, recently joined me from Berlin to discuss what technical privacy actually looks like when you’re shipping LLMs, agents, and multimodal systems into the real world...

2 months ago
13
2

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Authors

The writers behind this newsletter.

  • Hugo Bowne-Anderson

    Hugo is a data scientist, educator, evangelist, content marketer, data strategy consultant, and host of the industry podcast Vanishing Gradients.

  • Alex Strick van Linschoten

    ML Engineer @ ZenML

  • Duncan Gilchrist

    Co-founder Delphina. Past: Uber, Gopuff, Wealthfront. PhD Harvard.

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