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Paging Charity! How can engineering leaders avoid becoming Bond villains? Code isn’t the only thing causing your production failures Your AI shipped a backend that boots. That is the whole problem. The 2026 Developer Survey is now open (for human developers only)! Oh the places you’ll go with spatial data Dispatches from O'Reilly: From capabilities to responsibilities You don’t understand DNS like you think you do The new bottleneck - Stack Overflow AI agents are a confused deputy with the keys to your kingdom If context is king, architecture is the castle Selenium vs Cypress vs Playwright: Choosing Your Test Automation Framework AI agents expose the security checks you never actually wrote Designing CherryScript: Optimizing Data-Driven Workflows via Custom Python-Based Interpreters Paging Charity? How do I get my leaders to stop running teams Into the ground? Developers are emotionally attached to their tools When the cost of code approaches zero, what does engineering leadership look like? Announcing Stack Overflow for Agents Creating checkpoints by gaslighting a Postgres database What can 500 years of journalism teach developers about AI trustworthiness? Making the OWASP top ten in the vibe code era What it takes to be a player in the international AI game Best of the Heap: First post of the past The find out stage of AI is just supply chain and password protection In an AI world, the most valuable developers will be both artisans and builders Agents on a leash: Agentic AI remains mostly single-agent and monitored at work Do you have what it takes to run AI in production? Dispatches from O'Reilly: The accidental orchestrator Breaking your AI storage bottlenecks Coding agents are giving everyone decision fatigue Pack your agentic stack in Slack
The logos, ethos, and pathos of your LLMs
2026-02-10 · via Stack Overflow Blog

Ryan is joined by Professor Tom Griffiths, the head of Princeton University’s AI Lab, to dive into findings from his new book The Laws of Thought, which explores the history of the philosophy, mathematics, and logic that underlie artificial intelligence, and scientists' efforts to describe our minds using mathematics.

Article hero image
Credit: Alexandra Francis

They discuss the challenges of understanding human cognition, the implications of probabilistic AI “thinking,” and where Aristotle fits into the philosophical discussions we’re having on consciousness and sentience in AI.

The Laws of Thought details our quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and how our human minds differ from the neural networks of AI.

Connect with Tom on LinkedIn and find more of his work at the Princeton website.

Congrats to user Andreas Rayo Kniep for winning a Populist badge for their answer to Is there a difference between the UTC and Etc/UTC time zones?.

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