Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.
A historical analysis of what the earliest electrical and great applied R&D labs can teach Answer.AI, and potential pitfalls
Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form…
Full-text search is a powerful machine learning algorithm, especially relevant for web developers. This article teaches you the basics, from scratch.
Posted by Jennifer Daniel, Expressions Creative Director, Allo Taking, sharing, and viewing selfies has become a daily habit for many — the car sel...
T5Gemma 2 is the next evolution of our encoder-decoder family based on Gemma 3.
TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data.
TL;DR: Can we use GPUs to get 10x performance/dollar when fuzzing embedded software in the cloud? Based on our preliminary work, we think the answer is yes! Fuzzing is a software testing technique that supplies programs with many randomized inputs in an attempt to cause unexpected behavior. It’s an important, […]
DeepFloyd IF is a state-of-the-art text-to-image model released on a non-commercial, research-permissible license that allows research labs to examine and experiment with advanced text-to-image generation approaches. In line with other Stability AI models, Stability AI intends to release a DeepFloyd
When Stock Performer started in 2010, there were a lot of complaints that the stock industry was dying. The rush of the agencies to implement subscription models, triggered mostly by Shutterstock’s success, led to a lot of uncertainty about photographers’ income. After all, customers were able to buy images for mere…
Read the new story by War and Peas! This never-ending webcomic of woefully funny stories will leave you cry-laughing or the other way around.
It’s been a long time since I’ve worked in the field of ML (or what some call AI), and we’ve come a long way from simple text classification to what’s being casually called generative AI today. While the technology has made many advances, the foundational concepts of machine learning have remained analogous over time…
A few weeks ago, I attended the Seven Pines Symposium on Fundamental Problems in Physics outside Minneapolis, where I had the honor of participating in a panel discussion with Sir Roger Penrose. T…
[latexpage] On Thursday, OpenAI announced that they had trained a language model. They used a large training dataset and showed that the resulting model was useful for downstream tasks where training data is scarce. They
The Parents’ Paradox: AI, Ethics, and the Limits of Machine Morality This post is based on a talk I gave at The AI & Automation Conference in London on February 25, 2026, and my slides. A…
Introducing Tinker: a flexible API for fine-tuning language models.
Posted by Marc Levoy, Distinguished Engineer and Yael Pritch, Staff Software Engineer Night Sight is a new feature of the Pixel Camera app that let...
Artificial Intelligence has helped scientists reveal a new form of aggressive prostate cancer, which could revolutionise how the disease is diagnosed and treated in the future.
Artificial Intelligence and Life in 2030
Once again someone has offered us incredible artificial intelligence, and once again we are bracing for disappointment. It happened with handwriting recognition on the Newton, which proved to be slow and clumsy. It happened with the not-as-smart-as-they-first-appeared creatures of Lionhead’s Black and White . And…
Whenever you watch a video on YouTube now, you will likely get an advert for a scammy product. In the past few weeks I've seen:
A team of researchers at the University of Toronto has discovered a new class of cyberthreat that gives hackers more power and reach at far less cost. It can be built with free AI models. Every online device is a potential target. And current cyber defences are not yet ready for it.
