361
The Codex App
Introducing the Codex app for macOS—a command center for AI coding and software development with multiple agents, parallel workflows, and long-running tasks.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 593 posts.
362
Gemini: Google's most capable AI model yet
Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano.
363
Devstral
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
364
Mistral OCR 3
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
365
Cloudflare OS: an open platform for agents, apps, and work
Cloudflare OS is an open-source platform that lets everyone in your company build apps, automate work, and safely access internal systems, shaped around what your organization knows and how it operates.
366
OpenClaw – Moltbot Renamed Again
The journey from Clawd to Moltbot to OpenClaw—and why this name is here to stay.
367
Claude 3.5 Sonnet
Introducing Claude 3.5 Sonnet—our most intelligent model yet. Sonnet now outperforms competitor models and Claude 3 Opus on key evaluations, at twice the speed.
368
DeepMind and Blizzard Open StarCraft II as an AI Research Environment
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.
369
SlopStop: Community-driven AI slop detection in Kagi Search
Your collective defense against AI-generated spam and content farms We made it our mission to prevent the web from becoming useless and a harmful space. That’s why today, Kagi Search introduces the first community-driven system to...
370
Exploiting the most prominent AI agent benchmarks
Every week, a new AI model climbs to the top of a benchmark leaderboard. Companies cite these numbers in press releases. Investors use them to justify valuations. Engineers use them to pick which model to deploy. The implicit promise is simple: a higher score means a more capable system.
371
372
Extracting audio from visual information
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
373
Decision trees – the unreasonable power of nested decision rules
An introduction to the Decision Trees, Entropy, and Information Gain.
374
Neural scene representation and rendering
There is more than meets the eye when it comes to how we understand a visual scene: our brains draw on prior knowledge to reason and to make inferences that go far beyond the patterns of light that hit our retinas. For example, when entering a room for the first time, you instantly recognise the items it contains and…
375
Changes to GitHub Copilot individual plans
We're making these changes to ensure a reliable and predictable experience for existing customers.
376
Gemini with Deep Think achieves gold-medal standard at the IMO
The International Mathematical Olympiad (“IMO”) is the world’s most prestigious competition for young mathematicians, and has been held annually since 1959. Each country taking part is represented by six elite, pre-university mathematicians who compete to solve six exceptionally difficult problems in algebra…
377
378
From deep to long learning?
For the last two years , a line of work in our lab has been to increase sequence length. We thought longer sequences would enable a new era of machine learning foundation models: they could learn from longer contexts, multiple media sources, complex demonstrations, and more. All data ready and waiting to be learned…
379
380
Learning Dexterity
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
381
QwQ: Alibaba's O1-like reasoning LLM
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”. What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wades into. Like an eternal student of wisdom, it approaches every problem - be it…
382
GPT-5-Codex
Codex just got faster, more reliable, and better at real-time collaboration and tackling tasks independently anywhere you develop—whether via the terminal, IDE, web, or even your phone.
383
Waymo and Toyota outline partnership to advance autonomous driving deployment
Toyota Motor Corporation (“Toyota”) and Waymo reached a preliminary agreement to explore a collaboration focused on accelerating the development and deployment of autonomous driving technologies.
384
FunSearch: Making new discoveries in mathematical sciences using LLMs
We introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM, whose goal is to provide creative solutions in the form of computer code, with an automated “evaluator”, which guards…
385
386
Turing-NLG: A 17B-parameter language model
This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question…
387
Microsoft 365 Copilot – your copilot for work
Humans are hard-wired to dream, to create, to innovate. Each of us seeks to do work that gives us purpose — to write a great novel, to make a discovery, to build strong communities, to care for the sick. The urge to connect to the core of our work lives in all of us. But...
388
Generative Models
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative models: what they are, why they are important, and where they…
389
The First Fully General Computer Action Model
We trained a model on our 11-million-hour video dataset. Our model can explore complex websites, complete multi-action CAD modeling sequences, and drive a car in the real world, all at 30 FPS.
390
K2 Horizon: A connected fleet of six open models
Explore K2 Horizon, IFM’s open-source fleet of six frontier AI models for reasoning, coding, agentic workflows, edge devices, and enterprise deployment.