1201
Gradients Are the New Intervals
At the New England Symposium on Graphics , James Tompkin compared graphics researchers to magpies: they're easily distracted by shiny objects and pretty renderings.
New
The latest blog posts to take off on Hacker News. 3,091 posts.
1202
AI Responses May Include Mistakes
The other day I wanted to look up a specific IBM PS/2 model, a circa 1992 PS/2 Server system. So I punched the model into Google, and got this:
1203
What's working for YC companies since the AI boom
The goal of this analysis was to understand what’s working for YC companies by looking at which ones have raised Series A rounds.
1204
Untrusted chatbot AI between you & the internet is a disaster waiting to happen
JavaScript, math, maps, etc
1205
1206
A visual exploration of vector embeddings
For Pycon 2025, I created a poster exploring vector embedding models, which you can download at full-size . In this post, I'll translate ...
1207
Compiling a neural net to C for a speedup
A cozy little corner of the web.
1208
Revenge of the Chickenized Reverse-Centaurs
In AI circles, a “centaur” describes a certain kind of machine/human collaboration, in which “decision-support” systems (which the field loves to call “AI”s) are paired with human beings for results that draw upon the strengths of each, such as when a human chess master and a chess-playing computer program collaborate…
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1210
Running GPT-2 in WebGL: Rediscovering the Lost Art of GPU Shader Programming
A few weeks back, I implemented GPT-2 using WebGL and shaders (Github Repo) which made the front page of Hacker News. Here is a short write-up over what I …
1211
Highlights from the Claude 4 system prompt
Anthropic publish most of the system prompts for their chat models as part of their release notes. They recently shared the new prompts for both Claude Opus 4 and Claude …
1212
Trying to teach in the age of the AI homework machine
Trying to teach in the age of the AI homework machine.
1213
Chomsky on what ChatGPT is good for (2023)
The Noam Chomsky Website.
1214
What If We Had Bigger Brains? Imagining Minds Beyond Ours
Stephen Wolfram explores how the number of neural connections affects capabilities like language and abstraction. How far we could go accounting for neural nets and LLMS, the fundamental nature of computation, neuroscience and the operation of brains.
1215
Claude 4 System Card
Direct link to a PDF on Anthropic's CDN because they don't appear to have a landing page anywhere for this document. Anthropic's system cards are always worth a look, and …
1216
AI can't even fix a simple bug – but sure, let's fire engineers
Reddit discovered the funniest thing in tech this week, and it shows exactly how broken the AI narrative is. The newly released GitHub Copilot agent was given permission to make pull requests on Microsoft’s .NET runtime, and the results couldn’t be funnier. The AI confidently submitted broken code, while human…
1217
AI, Heidegger, and Evangelion
Our brains, evolved for tribal politics and campfire stories, are ill-equipped for the moral ambiguity of a system with no soul to save or damn.
1218
Peer Programming with LLMs, for Senior+ Engineers
This article contains a collection of resources for senior (or staff+) engineers exploring the use of LLM for collaborative programming.
1219
Attention Wasn't All We Needed
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
1220
How Does Claude 4 Think? – Sholto Douglas and Trenton Bricken
Scaling reinforcement learning, tracing circuits, and the path to fully autonomous agents
1221
1222
The "AI 2027" Scenario: How realistic is it?
Everyone’s been talking about it. JD Vance read it. What does it actually tell us?
1223
Adventures in Symbolic Algebra with Model Context Protocol
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
1224
Trading with Claude, and writing your own MCP server
Ever wanted to check on your portfolio and trade some stocks directly with Claude? Well you’re in luck.
1225
Gemini Diffusion
Another of the announcements from Google I/O yesterday was Gemini Diffusion, Google's first LLM to use diffusion (similar to image models like Imagen and Stable Diffusion) in place of transformers. …
1226
LLM function calls don't scale; code orchestration is simpler, more effective
TL;DR: Giving LLMs the full output of tool calls is costly and slow. Output schemas will enable us to get structured data, so we can let the LLM orchestrate ...
1227
Satellites Spotting Depth
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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1229
Deep Learning Is Applied Topology
Everything lives on a manifold
1230
The behavior of LLMs in hiring decisions: Systemic biases in candidate selection
Hints of discrimination and lack of principled reasoning in frontier AI systems