Topics /
The most popular blog posts about ai & machine learning on Hacker News. 6,306 posts.
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.
Perplexity AI claims it sends a user agent and respects robots.txt but it absolutely does not
State-of-the-art probabilistic forecasting in four sizes (5M–209M params), CPU-efficient, zero-shot ready.
I wrote the other day about Uber blowing its 2026 AI budget in four months, and how that wasn't particularly surprising given they would have set that budget in 2025, …
"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…
From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Secure and private AI processing in the cloud poses a formidable new challenge. To support advanced features of Apple Intelligence with larger foundation models, we created Private Cloud Compute (PCC), a groundbreaking cloud intelligence system designed specifically for private AI processing. Built with custom Apple…
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…
Bad software is a choice you make
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...
A quick refresher on the maths behind LLMs: vectors, matrices, projections, embeddings, logits and softmax.
A simple explanation of how they work and how to implement one from scratch in Python.
This is a long article, so I've broken it up into a series of posts, listed below. You can also read the full work as a PDF or EPUB .
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…
A hands-on look at dual-booting Linux on the Nvidia RTX Spark laptop, the GPU clock throttling bug found, and why WSL still wins.
Get more out of Claude Code: tell Claude what it can't see, give it a check to run, and enforce the rules that can't have exceptions.
We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.
Announcing Entire with $60 million seed round and shipping our first product, called Checkpoints.
Benchmarking and Ground Control for developer tool providers. Understand agent choices and test what helps them succeed.
Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.
LLMs have become privately-controlled research infrastructure
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…
Hack the text output of Claude Code to make life a little bit sillier.
SpaceXSI's most powerful model for coding and knowledge work. Twice as fast, at half the price of comparable models.
