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AI & Machine Learning

The most popular blog posts about ai & machine learning on Hacker News. 3,090 posts.

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213

The Illustrated Stable Diffusion

Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical…

218

A critical look at MCP

"MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data…

219

1.5 TB of VRAM on Mac Studio – RDMA over Thunderbolt 5

Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2. The easiest way to test it is with Exo 1.0, an open source private AI clustering tool. RDMA lets the Macs all act like they have one giant pool of RAM, which speeds up things like massive AI models. The stack of…

222

AI

Yesterday at lunch a friend asked me what tech trend he should pay attention to but was probably ignoring. Without thinking much I said “artificial intelligence”, but having thought about that a...

226

How I program with agents

This is the second part of my ongoing self-education in how to adapt my programming experience to a world with computers that talk. The first part, How I program with LLMs , covered ways LLMs can be adapted into our existing tools (basically, autocomplete) and how careful prompting can replace traditional web search…

229

The Matrix Calculus You Need for Deep Learning

Most of us last saw calculus in school, but derivatives are a critical part of machine learning, particularly deep neural networks, which are trained by optimizing a loss function. This article is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We…

236

Native JSON Output from GPT-4

When integrating LLMs in your products, you often want to generate structured data, like JSONs. With the help of function calling (released June 13th 2023), this process has become much simpler! In this post I will explore the new API. Thanks for reading Simon’s Substack! Subscribe for free to receive new posts and…

239

An animated introduction to Fourier series

This article will be part of an extensive series in which I plan to explore various aspects of Fourier Mathematics. I will take notes, create some visuals (a good pretext to learn more about graphics), and hope that it will be helpful to anyone looking for a clear, visual introduction to these concepts. The article…