newsletterAugust 18, 2026·Towards Data Science

Ten Is Not a Hundred

The number that fooled every hallucination detector The post Ten Is Not a Hundred appeared first on Towards Data Science.

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•The number that fooled every hallucination detector The post Ten Is Not a Hundred appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
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From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building the Responsible AI, security, and governance layers required for enterprise-ready agents The post From Prototype to Production: The Architecture Behind Secure & Governed AI Agents appeared first on Towards Data Science.

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Building Enterprise Agent Systems that People can Trust, Verify and Improve

5 principles that determine whether an agent system succeeds in production, explained through one I built for a $100M+ company. The post Building Enterprise Agent Systems that People can Trust, Verify and Improve appeared first on Towards Data Science.

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Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually

Towards Data Science

Webwright: Why AI Web Agents Should Write Code, Not Click

For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And inste

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Ten Is Not a Hundred

Key Takeaways

Related Articles

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building Enterprise Agent Systems that People can Trust, Verify and Improve

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Webwright: Why AI Web Agents Should Write Code, Not Click

Discussion

Ten Is Not a Hundred

Key Takeaways

Related Articles

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building Enterprise Agent Systems that People can Trust, Verify and Improve

Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used

Webwright: Why AI Web Agents Should Write Code, Not Click

Discussion

Related Articles

Towards Data Science
From Prototype to Production: The Architecture Behind Secure & Governed AI Agents
Building the Responsible AI, security, and governance layers required for enterprise-ready agents The post From Prototype to Production: The Architecture Behind Secure & Governed AI Agents appeared first on Towards Data Science.

Towards Data Science
Building Enterprise Agent Systems that People can Trust, Verify and Improve
5 principles that determine whether an agent system succeeds in production, explained through one I built for a $100M+ company. The post Building Enterprise Agent Systems that People can Trust, Verify and Improve appeared first on Towards Data Science.

Towards Data Science
Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used
Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually

Towards Data Science
Webwright: Why AI Web Agents Should Write Code, Not Click
For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And inste