GPT-2: Too Dangerous To Release (2019)
GPT-2 is a direct scale-up of GPT-1 , with more parameters and trained on more data. However, it was deemed too dangerous to release by OpenAI:
The latest blog posts to take off on Hacker News. 6,326 posts.
GPT-2 is a direct scale-up of GPT-1 , with more parameters and trained on more data. However, it was deemed too dangerous to release by OpenAI:
If AI were triggering a jobs crisis, we would expect job openings to collapse and unemployment to climb, yet the opposite is happening. Subscribe for daily updates.
Claude Fable represents another big jump in AI
Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
In the previous part of the Build A Basic AI Agent From Scratch series, we added the essential tools to our agent to allow it to work…
Today’s coding benchmarks have established that models can write correct code, but the question we should really be asking is: can models actually write…
Due to the Digital Markets Act, Apple will not be able to ship Siri AI in the European Union with the release of iOS 27 and iPadOS 27.
If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s
MiMo, in collaboration with TileRT, releases the UltraSpeed mode of Xiaomi MiMo-V2.5-Pro — breaking 1000 tokens/s generation speed on a 1T-parameter model for the first time on commodity GPUs through extreme model-system codesign.
xAI is renting huge amounts of GPU capacity to Anthropic and Google. Financial engineering ahead of the SpaceX IPO, a real compute shortage, or a genuine datacentre advantage? Probably all three.
So, my latest post went viral. And with virality, you get a ton of comments that you must reply to. I don't want to reply in HN/Reddit/Whatever to prev...
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.
“The dreamers look skyward with longing. The Internet hums with its usual promise — you will find your people, your myth, your wonder, and maybe your transformation.”
I'm a software engineer, completing 10 years of professional experience this year. I started my career as a web frontend engineer (it was easier for me to de...
For a long time I was skeptical of LLMs—whenever I reached for them I was disappointed by the results. Last year I tried Copilot and Cursor to tweak a game I...
Meta fixed the bug that let anyone trick its Meta AI chatbot into resetting the password on Instagram accounts that didn't have two-factor authentication.
In this post we look under the hood of BrightData's SDK and how it turns ordinary consumer TVs into exit nodes of an enormous commercial, residential proxy network leveraged by the AI industry to scrape web data and train language learning models.
OpenCV 5 is here! A massive modernization brings a graph-based DNN engine, over 80% ONNX coverage, hardware acceleration, LLM/VLM support, and a faster Python-first core. Learn why this isn't just an incremental update.
I like HackerNews, but I don't love that so much of it has turned into discussion of a single topic: AI. This is a version of HackerNews, filtered to remove any article focusing on __AI__. Refreshes about every ten minutes.
By Ryan Lopopolo, Member of the Technical Staff
We’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance.
Poking at the geometry of an image model's feature space.
What happens inside an LLM when it tries to calculate with nothing but matrices.
In my predictions for 2030 I wrote that tech writers would be using specialized LLMs, running locally on powerful hardware. I …
Our progress toward recursive self-improvement, and its implications.
Lossless compression of a target model's KV cache by up to 4×, using a cheaper predictor model to drive an arithmetic coder.
AI agents tend to be, at least as of this writing (May 2026), lousy at writing tests. The tests they write are often vague, cryptic, overcomplicated, hacky, dis...
Joris Rijsdijk, Christoph Peters, Michael Weinmann, Ricardo Marroquim. 2026–07 in ACM Transactions on Graphics (Proc. SIGGRAPH) 45, 4. Official version
Open AI models used for a wide range of scientific applications, including accelerating the design of therapeutic molecules.
As a part of my work I do security research for various apps and websites. I wanted to see if LLMs could reproduce a common class of exploits I've found in multiple apps. So I built a deliberately vulnerable book review app and spent $1,500 finding out…