2701
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,242 posts.
2702
A Predictive Database
What is a predictive database? A database that lets you query predictions from structured tabular data with no model training step. Learn how predictive databases work, when to use them, and how they compare to traditional ML.
2703
Building AI that can master complex cooperative games with hidden information
To advance research on AI that can understand others’ points of view and collaborate effectively, Facebook AI has developed a bot that sets a new state of the art in Hanabi, a card game in which all players work together.
2704
2705
Learning from failure to tackle hard problems
This blog post is based on the work BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards. Tackling Very Hard Problems The ultimate aim of machine learning research is to push machines beyond human limits in critical applications, including the next generation of th
2706
2707
Nearest neighbor indexes for similarity search
Vector similarity search is a game-changer in the world of search. It allows us to efficiently search a huge range of media, from GIFs to articles — with incredible accuracy in sub-second timescales for billion+ size datasets.
2708
NGraph: A New Open Source Compiler for Deep Learning Systems
Intel Search Results Page
2709
2710
2711
Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
2712
Language, trees, and geometry in neural networks
Language is made of discrete structures, yet neural networks operate on continuous data: vectors in high-dimensional space. A successful language-processing network must translate this symbolic information into some kind of geometric representation—but in what form? Word embeddings provide two well-known examples…
2713
Letter to Governor Abbott on responsible AI infrastructure in Texas
OpenAI sent Governor Greg Abbott a letter outlining its commitment to responsible AI infrastructure in Texas. The letter supports reliable, transparent growth that benefits Texans.
2714
AI Safety and the Age of Dislightenment
Model licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways
2715
Benchmarking leading AI agents against Google reCAPTCHA v2
We evaluate three leading AI models—Claude Sonnet 4.5, Gemini 2.5 Pro, and GPT-5—on their ability to solve Google reCAPTCHA v2 challenges and find significant performance differences, with success rates ranging from 28% to 60%.
2716
2717
How scientists are using Claude to accelerate research and discovery
Labs at Stanford and MIT built Claude-powered systems that run genome-wide studies in minutes and automate gene cluster interpretation.
2718
Putting Andrew Ng's OCR models to the test
Testing Andrew Ng's document extraction service reveals over 50% hallucinated values in financial tables. | Pulse AI
2719
Language contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…
2720
A third of Perplexity's citations don't contain the number they're cited for
Of 1,826 citations Perplexity's search models attached to a sentence stating a figure, 34.7% pointed at a page that either would not open or did not contain a single figure from that sentence; scored per claim rather than per citation, 14.4% of 872 claims fail.
2721
Stable LM 3B: Bringing Sustainable, High-Performance LMs to Smart Devices
Our latest language model, Stable LM 3B, is a compact language model designed to operate on portable digital devices like handhelds and laptops.
2722
2723
NNVM Compiler: A New Open End-To-End Compiler for AI Frameworks
You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces…
2724
SketchRNN model released in Magenta
Sketch-RNN, a generative model for vector drawings, is now available in Magenta. For an overview of the model, see the Google Research blog fromApril 2017, ...
2725
Responsible Release of AI-Generated Mathematics
Responsible Release of AI-Generated Mathematics September 29, 2026 Back to main page Download PDF At present, some frontier AI labs are testing advanced mathematical problems on proprietary models …
2726
2727
The rise of async AI programming
The workflow that's changing how software gets built.
2728
Anthropic forms $200M partnership with the Gates Foundation
We're committing $200 million in grants, Claude credits, and technical support for global health, life sciences, education, and economic mobility programs.
2729
Towards Self-Driving Codebases
We're post-tokenmaxxing. What are we pre-? How do we get there?
2730
Don't Build Multi-Agents
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and…