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The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
I think I have an idea why we're so extremely divided on AI: it's because we have an intuitive sense of who it stands to benefit, and who stands to pay the costs. I think whether you see reason for optimism has a lot to do with which group you see yourself in.
Using LLMs doesn't make a product special anymore
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…
Agents used to be a thing you talked to synchronously. Now they’re a thing that runs in the background while you work. When you make that change, the …
How we do active and passive monitoring on hyperscalers and neoclouds.
Thomson, the company's proprietary LLM, was trained and is run at a fraction of the cost of comparable frontier models and remains fully owned and controlled by Thomson Reuters
We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.
Large Language Models (LLMs) have a data freshness problem. Even some of the most powerful models, like GPT-4, have no idea about recent events. Let's learn how to fix this.
LocalAI is the open source AI engine. Run any model, LLMs, vision, voice, image and video, on any hardware. No GPU required.
Asynchrony, fast approximate exponents, and 10x more efficient softmax.
Late last month, I received a message.
Practice machine learning engineering with hands-on coding challenges. Implement neural network components, backprop, and more — from scratch.
From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.
Ray: A Distributed Framework for Emerging AI Applications Moritz, Nishihara, Wang et. al.
In a previous post I wrote about how to build a ‘People Who Like This Also Like …’ feature for displaying lists of similar musicians. My goal was to show how simple Information Retrieval techniques can do a good job calculating lists of related artists. For instance, using BM25 distance on The Beatles shows the most…
We’re testing SearchGPT, a temporary prototype of new search features that give you fast and timely answers with clear and relevant sources.
In this guide I analyse hardware from CPU to SSD and their impact on performance for deep learning so that you can choose the hardware that you really need.
What’s going on with the AI builder community right now?
Most machine learning tasks — from natural language processing to image classification to translation and many others — rely on derivative-free optimization to tune parameters and/or hyperparameter…
Understanding how search engines transform text into tokens through character filtering, tokenization, stemming, and stopword removal.
Wiki Builder is an open-source Claude Code plugin that turns the LLM-knowledge-base workflow into a one-command setup. Scaffold a configurable wiki, point Claude at sources, and let the agent compile durable pages, indexes, and concept maps for you.
I wrote a book. Well, only in part. Willi Richert and I wrote a book. It is called Building Machine Learning Systems With Python and is now available from Amazon (or Amazon.co.uk), although it has …
Here's what I recommend to programmers if they want to understand machine learning. Six fantastic books that you can work with in your spare time to build yo...
