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MCP vs. API Explained
Model Context Protocol (MCP) is an open standard that connects AI models to tools and data sources efficiently. This guide breaks down MCP’s architecture, benefits, and how it differs from traditional APIs
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
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The Gemini app is now on Mac
Google is bringing the Gemini app to macOS as a native desktop experience.
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Frontier Labs Are Selling Garbage to Fools in Washington
Selling snake oil to the United States Congress is an ancient American craft, and the frontier artificial intelligence industry is currently attempting the most audacious hustle in modern corporate history.
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Using LLMs to enhance our testing practices
Discover how Assembled uses LLMs to save engineering hours on test writing, boost productivity, and ensure code quality without slowing development.
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Google Brain Toronto
A “vector” is a geometric object with two important properties: magnitude and direction. These two attributes might also describe Canada’s AI sector today, as key inves…
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Can you use autoregressive diffusion to generate market data?
The following is part of a series of posts about 2026 summer intern projects – for more, see “What the interns have wrought, special jumbo 2026 edition”
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Creating ad hoc microphone arrays from personal devices (2019)
Researchers in the Microsoft Speech and Dialog Research Group have made an ad hoc microphone array by allowing meeting participants to join their phones together to enable more accurate meeting transcriptions. Explore how this array outperforms a single-device system.
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Orpheus-3B – Emotive TTS by Canopy Labs
Canopy Labs is developing digital humans that are indistinguishable from real ones.
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Keras Tutorial – Traffic Sign Recognition
In this tutorial Tutorial assumes you have some basic working knowledge of machine learning and numpy., we will get our hands dirty with deep learning by solving a real world problem.The problem we...
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My class required AI
(Spoiler alert: it has been very successful, but there are some lessons to be learned)
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Human Brain Project: $1.61 billion to achieve human brain emulation by 2024
Henry Markram, a neuroscientist at the École Polytechnique Fédérale in Lausanne, Switzerland, has assembled a team of nine top European scientists for the research effort to build a computer model of a human brain. The Human Brain Project is in discussion with the EU for a £1billion (US$1.61 billion) grant.
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33TB of text data for a 1T-parameter model
Important: This page summarizes data scaling only, using tokens to parameters as a ratio, and as derived from large language models like GPT-3, Chinchilla, and beyond, linked to the Compute-Optimal scaling laws like Kaplan and Hoffmann/Chinchilla. Please note that compute scaling laws are outside the scope of my…
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Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)
Listen in on Jane Street’s Ron Minsky as he has conversations with engineers working on everything from clock synchronization to reliable multicast, build systems to reconfigurable hardware. Get a peek at how Jane Street approaches problems, and how those ideas relate to tech more broadly.
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What Extropic is building
The demand for computing power in the AI era is increasing at an unprecedented exponential rate. Luckily, for the past several decades, the miniaturization of CMOS transistor technology following Moore’s law has allowed much of this exponential growth to be accounted for by increasing computer efficiency.
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Why machine learning struggles with causality
Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can't do causal reasoning.
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Nvidia to Acquire Run:AI
To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads…
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Frontier AI on Your Own Hardware
In one of my classes I asked the question I was afraid to ask but I just needed the answer to: “Who is afraid of not getting a job after graduating?” About eighty percent of the 150 people in the room raised their hands. That is roughly 120 students answering, in one motion, that they […]
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AI agent benchmarks are broken
Benchmarks are foundational to evaluating the strengths and limitations of AI systems, guiding both research and industry development.
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The Future of MCPs
MCPs—Model Context Protocols—are set to transform AI from passive chatbots into powerful, action-taking agents. But the real story isn’t what MCPs enable—it’s who controls them.
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New Capabilities for GPT-3: Edit and Insert
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
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Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
Give any AI agent a persistent memory in minutes. Works with Claude, ChatGPT, Ollama, OpenRouter, and any MCP-compatible agent. Open source, self-hosted, model-agnostic.
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What is GPT-3? written in layman's terms
Daily, snackable writings to spur changes in thinking. Building a blueprint for a better brain by tinkering with the code.
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Project Gameface launches on Android
We've open sourced the code for Project Gameface so developers and enterprises can leverage it to build new experiences with increased accessibility.
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WebVR Experiments
We’ve created a showcase of the amazing VR experiences developers are building on the web. To play with them, all you need is a browser.
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A guide to prompting AI, for what it is worth
A little bit of magic, but mostly just practice
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Build your own Siri locally and on-device
That doesn’t spy on you