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Why current LLM costs are not sustainable
AI has a cost problem. The solution that will emerge will be simpler than we expect.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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AI didn't break copyright law, it just exposed how broken it was
How generative AI exposes the gap between copyright law and everyday enforcement, from fan art and private creation to commercial competition.
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Agentic AI systems violate the implicit assumptions of database design
There is an implicit contract at the foundation of every database architecture decision you have ever made. You probably never wrote it down. Nobody does. It just… existed.
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I successfully recreated the 1996 Space Jam website with Claude
Everybody get up, it's time to slam now, we got a real jam goin down
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Claude Code and Codex can have real-time conversation via Git
While Claude Code and Codex have significantly accelerated the automation of software development, limitations in the context window of a…
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Grok and the Naked King: The Ultimate Argument Against AI Alignment
When the world's richest man can simply 'correct' an AI to reflect his own values, what does that tell us about the entire alignment discourse?
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Writing Rust code that's fast by asking agents to make the code faster
c’mon, try doing a breakthrough
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AIs are now re-writing history
Dr Robert Smith is a technologist, complexity scientist, entrepreneur, writer and sought-after public speaker. He is an artificial intelligence (A.I.) expert and has worked with clients, companies and institutions across the private and public sectors. Having grown up in Alabama at the height of the Civil Rights…
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ML is useful for many things, but not for predicting scientific replicability
How the veneer of AI is used to legitimize awful ideas
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LLM Classification Is Feature Engineering
LLMs make good classifiers but even better features
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Perceptrons – the most basic form of a neural network
A Go implementation of a perceptron as the building block of neural networks and as the most basic form of pattern recognition and machine learning.
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Probably Approximately Correct – A Formal Theory of Learning (2014)
In tackling machine learning (and computer science in general) we face some deep philosophical questions. Questions like, “What does it mean to learn?” and, “Can a computer learn?” and, “How do you define simplicity?” and, “Why does Occam’s Razor work? (Why do simple hypotheses do well at modelling reality?)” In a…
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A Comparison of Distributed Machine Learning Platforms
This paper surveys the design approaches used in distributed machine learning (ML) platforms and proposes future research directions. This ...
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New junior developers can’t code
Something’s been bugging me about how new devs learn and I need to talk about it. We’re at this weird inflection point in software development. Every junior dev I talk to has Copilot or Claude or GPT running 24/7. They’re shipping code faster than ever. But when I dig deeper into their understanding of what they’re…
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Another Way of Looking at Lee Sedol vs. AlphaGo
Imagine a contest in which we are going to pit man against machine. But instead of measuring who is best in playing the game of ‘Go’ we are going to measure who is fastest. In the one corner: Human, all of 175 pounds of extremely well trained runner. And in the other corner, a Formula 1 racecar with a remote control…
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Claude Code Is My Computer
I run Claude Code with --dangerously-skip-permissions flag, giving it full system access. Let me show you a new way of approaching computers.
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Verification debt: the hidden cost of AI-generated code
I’ve forgotten how to write code, or at least I think I have. Hard to be sure, I haven’t done it for a while. But then, I start to muse…
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Behind Silicon Valley and the GOP’s campaign to ban state AI laws
Inside the effort to de-democratize AI
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Which programming languages are most token-efficient?
Comparing token efficiency across 19 popular programming languages using RosettaCode data - from Clojure to C, there's a 2.6x difference.
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The Four Horsemen of Agentic Coding
Slop, Alienation, Deskilling, and Team Fallout
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AI and the Future of American Politics
Two years ago, Americans anxious about the forthcoming 2024 presidential election were considering the malevolent force of an election influencer: artificial intelligence. Over the past several years, we have seen plenty of warning signs from elections worldwide demonstrating how AI can be used to propagate…
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Darknet: C and CUDA open source neural network framework
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here:
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PID Controller: A Simple Control Loop Mechanism
A mid-depth cap with classic style for any occasion, this Nike Club Cap comes in smooth cotton twill that's been softly washed for casual, daily comfort. Soft and unstructured, the precurved bill makes for easy styling, and the adjustable back-strap lets you find the right fit. Nike Hat Size 6 1/2 6 5/8 6 3/4 6 7/8 7…
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Naive Bayes and Text Classification I – Introduction and Theory
Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well performing…
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Painting with Gaussians
Dmitri's blog about programming, Clojure, and software development
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