Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
Research portfolio and personal page for Jason Yosinski
Artificial production of human speech is known as speech synthesis. This machine learning-based technique is applicable in text-to-speech, music generation, speech generation, speech-enabled devices, navigation systems, and accessibility for visually-impaired people. In this article, we’ll look at research and model……
Exploring the relationship between singular value decomposition and principal component analysis.
This article provides a short introduction to the pipeline used to create the data to train large language models (LLMs) such as LLaMA using Common Crawl (CC).
Let's pretend we need to build a recommendation engine for an eCommerce web site. There are basically two approaches you can take: content-based and collaborative-filtering. We'll look at some...
Lecture 1: Tutorial on Deep Learning I Lecture 2: Tutorial on Deep Learning II Lecture 3: Tutorial on Deep Learning III Lecture 4: Tutorial on Deep Learning IV
Getting children (and adults) to tidy up after themselves can be a challenge, but we face an even greater challenge trying to get our AI agents to do the same. Success depends on the mastery of several core visuo-motor skills: approaching an object, grasping and lifting it, opening a box and putting things inside of…
I summarise the kinds of evaluations that are needed for a structured data generation task.
Mapillary Vistas, the world’s largest and most diverse publicly available, pixel-accurately and instance-specifically annotated street-level imagery dataset, will empower autonomous mobility and transport at the global scale.
The CEOs of OpenAI and Anthropic have both claimed that human-level AI is just around the corner — and at times, that it's already here. These claims have generated enormous public attention. There has been some technical scrutiny of these claims, but critiques rarely reach the public discourse. This piece is a sketch…
Waymo is bringing the magic of our fully autonomous ride-hailing service to riders in Nashville, in partnership with Lyft in 2026. Riders will be able to hail via the Waymo app, and as our service grows, riders will also be able to use the Lyft app to match with a Waymo vehicle.
Recently, I have been testing how well the newest generations of large language models (such as GPT-5 or Claude 4.5) handle natural language, specifically counting characters, manipulating characters in a sentences, or solving encoding and ciphers. Surprisingly, the newest models were able to solve these kinds of…
Self-supervision through better coordination among agents that share one language model.
Where do human artists fit in a world of rich, creative AI? We asked 100 Surgers to draw the DALL-E prompts.
A year ago, Mihail Eric wrote a blog post detailing his experiences working on AI inside Amazon: How Alexa Dropped the Ball on Being the Top Conversational System on the Planet. It’s a great …
YOLOv6: review and comparison of the next generation object detection.
Typed decisions with a probability for every option, from GLM-5.3-Flash in a single forward pass: about as accurate as Jev, faster from Europe, and protected by confidential computing. With a playground and a benchmark on 29 datasets.
Serving 8.9 million developers, Ollama has raised $88M from Benchmark, Theory Ventures, 8VC, Y Combinator, and many incredible angel investors.
After open sourcing Caffe2 at F8 last month, today we are are excited to share our recent work on low precision 16 bit floating point (FP16) training in collaboration with NVIDIA.
In the previous article in this series we distinguished between two kinds of unsupervised learning (cluster analysis and dimensionality reduction) and discussed the former in some detail. In this installment we turn our attention to the later. In dimensionality reduction we seek a function $f : \mathbb{R}^n \mapsto…
