Run Stable Diffusion natively on your Mac
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The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
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Training gaming agents is an addictive game. A game of sleepless nights, grinds, explorations, sweeps, and prayers. PufferLib allows anyone with a gaming computer to play the RL game, but getting from “pretty good” to “superhuman” requires tweaking every lever, repeatedly.
1) Foundational math. 2) Classical machine learning. 3) Deep learning. 4) Cutting-edge machine learning.
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Musings on navigating the tech bubble with philosophy and self-improvement.
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such a…
In my previous blog post, I explored some of the early ways of word embeddings and their shortcomings. The purpose of this post is to explo...
From zero to gradient boosted decision trees
(This was originally a sponsor talk given at PyCon 2018. Unfortunately there is no video.)
I know the technology, I understand what it's doing and I know the impact, so I am vehemently anti-AI. I do not believe any positive out...
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.
AI, science, education, & ethics
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.
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…
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.
Some reflections on an accidental Twitterstorm, the future of AI and deep learning, and what happens when you confuse a schoolbus with a…
The anthropologist helped popularize both techno-optimism and the concept of existential risk
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.
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.
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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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…
Efficacy of OpenAI Fine-tuning API, Cost/Latency Considerations, Experiencing Catastrophic Forgetting, and...Getting Roasted by a Fine-tuned GPT-3.5
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…
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
The European Union AI Act will begin to be enforceable in August 2026, one month from now. One of the biggest new requirements is Article 50, which requires all…