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I was a top 0.01% Cursor user, then switched to Claude Code 2.0
A comprehensive guide to Claude Code from someone who's been using coding AI since 2021. Learn the 5 pillars of agentic coding, custom commands, and advanced workflows.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Claims AI can boost workplace diversity are ‘spurious and dangerous’
Research highlights growing market in AI-powered recruitment tools that claim to bypass human bias to remove discrimination from hiring.
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Weak-to-Strong Generalization
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
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"AI will cure cancer" misunderstands both AI and medicine
AI, science, education, & ethics
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GPT-4 is not getting worse
GPT-4 may have declined in some areas, but it hasn’t systematically done so. My tests were shit, and never proved much of anything.
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Should AI Be Open?
I. H.G. Wells’ 1914 sci-fi book The World Set Free did a pretty good job predicting nuclear weapons:They did not see it until the atomic bombs burst in their fumbling hands…before the l…
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xAI, SpaceX, and the Race for AI Buildout
An artisanal, free range blog. GMO-free. Sincere always, expect for the rare occasion. No AI was used in the making of this site or its content.
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The deepest problem with deep learning
Some reflections on an accidental Twitterstorm, the future of AI and deep learning, and what happens when you confuse a schoolbus with a…
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Meta Deployed AI and It Is Killing Our Agency
Managing millions in Meta ad spend, yet treated like we don't exist. An inside look at how Meta's AI-driven changes are disrupting agencies and advertiser performance.
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How GPT‑5.6 Sol helps run quantum computing experiments
See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.
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Margaret Mead, technocracy, and the origins of AI's ideological divide
The anthropologist helped popularize both techno-optimism and the concept of existential risk
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iOS 12 Core ML Benchmarks
With the A11 Bionic’s Neural Engine in last year’s iPhone X, Apple introduced its first chip for hardware-accelerated AI. This year, Apple promised huge performance increases to Core ML in their iOS 12 update. They claim models run 9X faster… Continue reading iOS 12 Core ML Benchmarks
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MLOps is a mess but that's to be expected
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
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Google rolls out algorithm change in the US
Insights from Googlers into our products, technology, and the Google culture
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What years of production-grade concurrency teaches us about building AI agents
Python and JavaScript/TypeScript AI frameworks are reinventing what telecom solved in 1986. What 40 years of production-grade concurrency teaches us about building AI agents.
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Minifying HTML for GPT-4o: Remove all the HTML tags
tl;dr; if you want to pass HTML data to GPT-4o, just strip out all the HTML and pass raw text, it’s cheaper and there is little to no performance degradation. Source code and demo available.
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Pixelopolis, a self-driving car demo from Google I/O built with TensorFlow-Lite
Pixelopolis is an interactive installation that showcases self-driving miniature cars powered by TensorFlow Lite. Each car is outfitted with its own Pixel phone, which used its camera to detect and understand signals from the world around it. In order to sense lanes, avoid collisions and read traffic signs, the phone…
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Why I'm Lukewarm on Graph Neural Networks
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn has been a long time in the making, and I am excited to finally get to talk about the release of my new book…
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Our humble attempt at “how much data do you need to fine-tune”
Efficacy of OpenAI Fine-tuning API, Cost/Latency Considerations, Experiencing Catastrophic Forgetting, and...Getting Roasted by a Fine-tuned GPT-3.5
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Playing Mortal Kombat with TensorFlow.js
While experimenting with enhancements of the prediction model of Guess.js, I started looking at deep learning. I’ve focused mainly on recurrent neural networks (RNNs), specifically LSTM because of their “unreasonable effectiveness” in the domain of Guess.js. In the same time, I started playing with convolutional…
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Faster convergence for diffusion models
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
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AI is going to kill app subscriptions
Curated niche app opportunities from Reddit, scored by difficulty and demand.