Tag: Computing
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Molly Cantillon on X: “THE PERSONAL PANOPTICON. A few months ago, I started running my life out of Claude Code.
This is the default now. The bottleneck is no longer ability. The bottleneck is activation energy: who has the nerve to try, and the stubbornness to finish. This favors new entrants. People who question unquestioned assumptions because they don’t know any better. The founders who sprint through walls and will their dogged pursuits into existence.…
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Ralph Wiggum Loops
This inverts the usual AI coding workflow. Instead of carefully reviewing each step, you define success criteria upfront and let the agent iterate toward them. Failures become data. Each iteration refines the approach based on what broke. The skill shifts from “directing Claude step by step” to “writing prompts that converge toward correct solutions.” https://paddo.dev/blog/ralph-wiggum-autonomous-loops
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AGI is here (and I feel fine)
The key word in Artificial General Intelligence is General. That’s the word that makes this AI unlike every other AI: because every other AI was trained for a particular purpose. Consider landmark models across the decades: the Mark I Perceptron, LeNet, AlexNet, AlphaGo, AlphaFold … these systems were all different, but all alike in this way. Language models were trained…
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Programming With Claude – The First Week
I am not a programmer. I have made multiple attempts to learn programming, from Ruby on Rails back in the day to Python a year or two ago. While I understand the basic concepts – variables and types and loops and functions and classes, I find that the complexity mounts quickly and at a certain…
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The Goon Squad, by Daniel Kolitz
From these companies’ perspective, the ideal consumer would do literally nothing but goon, lose at gambling, and maybe watch other people play video games. You can try to fight this. You can read a book, pet a dog, buy a stupid box to lock away your phone. You can make a joke about the box,…
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The hard part: A quote from Jason Gorman
The hard part of computer programming isn’t expressing what we want the machine to do in code. The hard part is turning human thinking — with all its wooliness and ambiguity and contradictions — into computational thinking that is logically precise and unambiguous, and that can then be expressed formally in the syntax of a…
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Thin Desires Are Eating Your Life
The business model of most consumer technology is to identify some thick desire, find the part of it that produces a neurological reward, and then deliver that reward without the rest of the package. Social media gives you the feeling of social connection without the obligations of actual friendship. Pornography gives you sexual satisfaction without…
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Consciousness May Require a New Kind of Computation – Neuroscience News
So, if we want something like synthetic consciousness, the problem may not be, “What algorithm should we run?” The problem may be, “What kind of physical system must exist for that algorithm to be inseparable from its own dynamics?” What are the necessary features—hybrid event–field interactions, multi-scale coupling without clean interfaces, energetic constraints that shape inference…
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How LLMs give semantic meaning to a prompt| ngrok blog
In summary, embeddings are points in n-dimensional space that you can think of as the semantic meaning of the text they represent. During training, each token gets moved within this space to be close to other, similar tokens. The more dimensions, the more complex and nuanced the LLM’s representation of each token can be. —…
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Pluralistic: The Reverse-Centaur’s Guide to Criticizing AI (05 Dec 2025)
In automation theory, a “centaur” is a person who is assisted by a machine. You’re a human head being carried around on a tireless robot body. Driving a car makes you a centaur, and so does using autocomplete. And obviously, a reverse centaur is machine head on a human body, a person who is serving as a…