Tag: AI
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The trajectories of science and AI – Marginal REVOLUTION
You know, I’ve read a lot of texts from the early days of the Industrial Revolution. Adam Smith is one of them, but there’s many others, and a lot of people are for what’s going on, they understand they will be richer, maybe healthier. They do see the downsides, but they have a pretty decent…
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Why even ‘perfect’ AI therapy may be structurally doomed – Marginal REVOLUTION
But all else equal: does infinite, on-demand therapy—even assuming the highest quality per unit of therapeutic interaction—sound like a good idea to you? I can tell you, to me it does not. First of all, despite detractors’ claims to the contrary, the basic idea of therapy is not to make you dependent for life—but rather,…
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Hoard things you know how to do – Agentic Engineering Patterns – Simon Willison’s Weblog
The key idea here is that coding agents mean we only ever need to figure out a useful trick once. If that trick is then documented somewhere with a working code example our agents can consult that example and use it to solve any similar shaped project in the future. — Read on simonwillison.net/guides/agentic-engineering-patterns/hoard-things-you-know-how-to-do/
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First run the tests – Agentic Engineering Patterns
“First run the tests” provides a four word prompt that encompasses a substantial amount of software engineering discipline that’s already baked into the models. — Read on simonwillison.net/guides/agentic-engineering-patterns/first-run-the-tests/
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Linear walkthroughs – Agentic Engineering Patterns
Frontier models with the right agent harness can construct a detailed walkthrough to help you understand how code works. — Read on simonwillison.net/guides/agentic-engineering-patterns/linear-walkthroughs/
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AI Taxonomy
We use Analytical AI to decide, Semantic AI to understand and remember, Generative AI to create, Agentic AI to act, Perceptive AI to sense, and Physical AI to move. — Read on dropleaf.app/d/AlXez8scbd
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Something Big Is Happening — matt shumer
Amodei has a thought experiment I can’t stop thinking about. Imagine it’s 2027. A new country appears overnight. 50 million citizens, every one smarter than any Nobel Prize winner who has ever lived. They think 10 to 100 times faster than any human. They never sleep. They can use the internet, control robots, direct experiments,…
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Semantic ablation: Why AI writing is boring and dangerous • The Register
If “hallucination” describes the AI seeing what isn’t there, semantic ablation describes the AI destroying what is. We are witnessing a civilizational “race to the middle,” where the complexity of human thought is sacrificed on the altar of algorithmic smoothness. By accepting these ablated outputs, we are not just simplifying communication; we are building a…
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Two new Showboat tools: Chartroom and datasette-showboat
Two new Showboat tools: Chartroom and datasette-showboat — Read on simonwillison.net/2026/Feb/17/chartroom-and-datasette-showboat/