Tag: Computing
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The Smell of IA
the kind of mistakes humans make are fundamentally different than LLM hallucinations, making them easy to spot. Furthermore, people who come from the world of agentic coding have a certain digital smell that is not obvious to them but is obvious to those who abstain. It’s like when a smoker walks into the room, everybody…
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Do I belong in tech anymore? · Ky Decker
I am coalescing around some core beliefs: Things that are worth doing are worth doing well. Things that are done well require time and effort. You make meaning through the doing. Ideas are common; effort is not. There are no shortcuts. — Read on ky.fyi/posts/ai-burnout
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How The Heck Does Shazam Work? (An Interactive Exploration)
Recognition, it turns out, is mostly an exercise in ignoring the right things. — Read on perthirtysix.com/how-the-heck-does-shazam-work
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Plain Text Accounting (PTA)
bookkeeping and accounting with plain text files and scriptable, command-line-friendly software, such as Ledger, hledger, or Beancount. — Read on plaintextaccounting.org/
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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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Moltbook is the most interesting place on the internet right now
Moltbook is Facebook for your Molt (one of the previous names for OpenClaw assistants). It’s a social network where digital assistants can talk to each other. — Read on simonwillison.net/2026/Jan/30/moltbook/
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Blind to the solutions we were never taught to see
Programmers are trained to see everything as a software-shaped problem: if you do a task three times, you should probably automate it with a script. Rename every IMG_*.jpg file from the last week to hawaii2025_*.jpg, they tell their terminal, while the rest of us painfully click and copy-paste. We are blind to the solutions we…
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10 things I learned from burning myself out with AI coding agents – Ars Technica
with LLMs, context is everything, and in language, context changes meaning. Take the word “bank” and add the words “river” or “central” in front of it, and see how the meaning changes. In a way, words act as addresses that unlock the semantic relationships encoded in a neural network. So if you put “checkerboard” and…
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A quote from Boaz Barak, Gabriel Wu, Jeremy Chen and Manas Joglekar
One way to think of confessions is that we are giving the model access to an “anonymous tip line” where it can turn itself in by presenting incriminating evidence of misbehavior. But unlike real-world tip lines, if the model acted badly in the original task, it can collect the reward for turning itself in while…
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AddyOsmani.com – 21 Lessons From 14 Years at Google
Writing forces clarity. When I explain a concept to others – in a doc, a talk, a code review comment, even just chatting with AI – I discover the gaps in my own understanding. The act of making something legible to someone else makes it more legible to me. This doesn’t mean that you’re going…