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The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
Using computer vision to help win $1M in Mountain Dew's Super Bowl contest
SUMMARY Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second in Roboflow to produce 92 annotated training…
Deep Learning for Siri’s Voice
Siri is a personal assistant that communicates using speech synthesis. Starting in iOS 10 and continuing with new features in iOS 11, we…
OpenAI releases larger GPT-2 model
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
TPU 8tx and TPU 8i Max
We’ve expanded our eighth generation TPU portfolio with TPU 8tx and TPU 8i Max, marking four new TPU systems in a single year.
Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia
To understand the differences between automatic differentiation libraries, let’s talk about the engineering trade-offs that were made. I would personally say that none of these libraries are “better” than another, they simply all make engineering trade-offs based on the domains and use cases they were aiming to…
Online speech recognition with wav2letter anywhere
We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.
John McCarthy: The Robot and the Baby
THE ROBOT AND THE BABY
A Visual and Interactive Guide to the Basics of Neural Networks
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by training and I’ve had…
Things I wish I knew earlier about Machine Learning
I’ve been working with Machine Learning models both in academic and industrial settings for a few years now. I’ve recently been watching the excellent Scalable ML from Mikio Braun, this…
Google’s Project Suncatcher to put ML infrastructure in space
Learn about Project Suncatcher, how we’re testing hardware survival for space, designing cooling systems for AI chips, and more.
How the terrorist group Boko Haram uses frontier AI
The Cambridge Programme on AI Science & Policy (CASP) is an interdisciplinary research programme on frontier AI at the University of Cambridge.
Fabrice Bellard's TS Zip (2024)
Results and speed for other programs on enwik8 and enwik9 are available at the Large Text Compression Benchmark .
Markov chain Monte Carlo without the bullshit (2015)
I have a little secret: I don’t like the terminology, notation, and style of writing in statistics. I find it unnecessarily complicated. This shows up when trying to read about Markov Chain Monte Carlo methods. Take, for example, the abstract to the Markov Chain Monte Carlo article in the Encyclopedia of…
New Vulnerability in GitHub Copilot, Cursor: Hackers Can Weaponize Code Agents
Pillar Security researchers have uncovered a dangerous new supply chain attack vector we've named "Rules File Backdoor." This technique enables hackers to silently compromise AI-generated code by injecting hidden malicious instructions into seemingly innocent configuration files used by Cursor and GitHub Copilot—the…
The Mojo language (by Modular, now Qualcomm) is now open-source
Four and a half years ago, Modular made a bet: AI would not run on one kind of silicon forever, and the software stack would need to be rearchitected for a world of heterogeneous hardware and increasingly complex AI workloads.
We gave terabytes of CI logs to an LLM
We gave our AI agent a SQL interface to billions of CI log lines in ClickHouse. How we ingest, store, and query 1.5 billion log lines a week.
Are you better than a language model at predicting the next word?
A quiz to see how you compare to language models.
Predicting Stock Performance with Natural Language Deep Learning
We developed an NLP deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure ML Workbench and Keras with open source for you to replicate.
OpenXLA Is Available Now
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
Satellites Spotting Aircraft
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
StableStudio, an open-source release of DreamStudio
Stability AI releases StableStudio, an open-source text-to-image consumer application that emphasizes the company's commitment to advancing open-source development within the AI ecosystem. With StableStudio, users can help shape the future of generative AI through community-driven development and lo
Emacs agent-shell (powered by ACP)
Not long ago, I introduced acp.el, an Emacs lisp implementation of ACP (Agent Client Protocol), the agent protocol developed between Zed and Google fo...
Let's be honest, Generative AI isn't going all that well
A sampling of recent news
Discovering Cryptographic Weaknesses with Claude
Anthropic researchers find weaknesses in cryptographic algorithms with Claude Mythos Preview
Every database will become a vector database sooner or later
Why every database will become a vector database, sooner or later
The upcoming GPT-3 moment for RL
How RL training will scale up to thousands of diverse environments, similar to how pretraining scaled up text corpora.
Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.