newsletterOctober 13, 2026·Towards Data Science

Coding Agents Can Solve the Task — But How Much Work Did They Waste?

Real repositories, seeded agent decisions: what 50,400 runs show about wasted turns, patch churn, and which harness rules help The post Coding Agents Can Solve the Task — But How Much Work Did They Waste? appeared first on Towards Data Science.

Key Takeaways

•Real repositories, seeded agent decisions: what 50,400 runs show about wasted turns, patch churn, and which harness rules help The post Coding Agents Can Solve the Task — But How Much Work Did They Waste? appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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How to Leverage NLP for Product Data Science

A practical guide to strengthening churn, CLV, and other traditional models with text The post How to Leverage NLP for Product Data Science appeared first on Towards Data Science.

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Import AI 476: Creativity and RSI; worse-than-China open weight models; AI goes to space

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now New benchmark shows how AI models lack intuitive visual reasoning:…Humanity’s Sixth Sense highlights some shortcomings

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We Specified an AI Agent in 2016. We Called It Analytics.

Re-reading my own IBM patent on real-time concert feedback as what it actually was: an agentic loop with multimodal perception, memory-grounded inference, and a human in the loop. What it got right, and what a decade of hindsight teaches agent builders today. The post We Specified an AI Agent in 201

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I Built a Trap for AI Image Judges. They Walked Into a Different One.

Three vision AI models ignored the pretty image, yet GPT-4o invented answers and Claude kept answering B. The post I Built a Trap for AI Image Judges. They Walked Into a Different One. appeared first on Towards Data Science.

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Coding Agents Can Solve the Task — But How Much Work Did They Waste?

Key Takeaways

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Coding Agents Can Solve the Task — But How Much Work Did They Waste?

Key Takeaways

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How to Leverage NLP for Product Data Science
A practical guide to strengthening churn, CLV, and other traditional models with text The post How to Leverage NLP for Product Data Science appeared first on Towards Data Science.

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Import AI 476: Creativity and RSI; worse-than-China open weight models; AI goes to space
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We Specified an AI Agent in 2016. We Called It Analytics.
Re-reading my own IBM patent on real-time concert feedback as what it actually was: an agentic loop with multimodal perception, memory-grounded inference, and a human in the loop. What it got right, and what a decade of hindsight teaches agent builders today. The post We Specified an AI Agent in 201

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I Built a Trap for AI Image Judges. They Walked Into a Different One.
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