811
If Claude Fable stops helping you, you'll never know
Anthropic's Claude Fable policy turns coding assistants into non-neutral infrastructure for product companies.
New
The latest blog posts to take off on Hacker News. 1,521 posts.
812
Grit: Rewriting Git in Rust with agents
We used agents to port all of Git to library-first, memory-safe Rust and it passes the entire C Git test suite.
813
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
This post is a high-level explainer for my Master’s thesis, which involves designing hardware architectures for ultrafast inference and online learning using the Kolmogorov-Arnold Network (KAN) architecture. I’ll assume familiarity with standard machine learning concepts, as well as some understanding of hardware and…
814
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:
815
Where is the AI jobs crisis?
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.
816
What it feels like to work with Mythos
Claude Fable represents another big jump in AI
817
Claude Fable 5
Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
818
Build a Basic AI Agent from Scratch: Long Task Planning
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…
819
FrontierCode: An eval to measure whether you would actually merge the code
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…
820
Due to DMA, Siri AI delayed in EU for iOS 27 and iPadOS 27
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.
821
AI is slowing down
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
822
MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
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.
823
xAI is looking more like a datacentre REIT than a frontier lab
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.
824
Replies to comments on my "LLMs are eroding my career" post
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...
825
The Smallest Brain You Can Build: A Perceptron in Python
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.
826
The OnlyFans Economy of American AI
“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.”
827
LLMs are eroding my software engineering career and I don't know what to do
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...
828
I design with Claude more than Figma now
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...
829
Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot
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.
830
The Smart TV in Your LivingRoom Is a Node in the AIScraping Economy
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.
831
OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision
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.
832
Hacker News, Sans AI
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.
833
Harness engineering: Leveraging Codex in an agent-first world
By Ryan Lopopolo, Member of the Technical Staff
834
Gemma 4 QAT models: Optimizing compression for mobile and laptop efficiency
We’re releasing Gemma 4 quantization-aware training checkpoints, reducing memory requirements and improving on-device performance.
835
Playing with Vision Embeddings
Poking at the geometry of an image model's feature space.
836
Arithmetic Without Numbers – How LLMs Do Math
What happens inside an LLM when it tries to calculate with nothing but matrices.
837
Fine-tuning an LLM to write docs like it's 1995
In my predictions for 2030 I wrote that tech writers would be using specialized LLMs, running locally on powerful hardware. I …
838
When AI Builds Itself: Our progress toward recursive self-improvement
Our progress toward recursive self-improvement, and its implications.
839
Speculative KV coding: losslessly compressing KV cache by up to ~4×
Lossless compression of a target model's KV cache by up to 4×, using a cheaper predictor model to drive an arithmetic coder.
840
My Agent Skill for Test-Driven Development
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...