811
Untrusted chatbot AI between you & the internet is a disaster waiting to happen
JavaScript, math, maps, etc
New
The latest blog posts to take off on Hacker News. 1,227 posts.
812
When Fine-Tuning Makes Sense: A Developer's Guide
Most teams are curious about fine-tuning and how it might help their AI products, but they don't know what to expect from the process, how to measure success, or where to start.
813
Open-sourcing circuit tracing tools
Our open-source tools generate attribution graphs showing how language models reach decisions.
814
815
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 ...
816
Compiling a neural net to C for a speedup
A cozy little corner of the web.
817
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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819
Look Ma, No Bubbles: Designing a Low-Latency Megakernel for Llama-1B
Benjamin Spector* , Jordan Juravsky* , Stuart Sul , Owen Dugan , Dylan Lim , Dan Fu , Simran Arora , Chris Ré
820
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 …
821
Mistral Agents API
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
822
Why Cline doesn't index your codebase
Here's a common question we get from prospective Cline users: "How does Cline handle large codebases? Do you use RAG to index everything?" It's a reasonable question. Retrieval Augmented Generation (RAG) has become the go-to solution for giving AI systems access to large knowledge bases. But for Cline, we've taken a…
823
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 …
824
Trying to teach in the age of the AI homework machine
Trying to teach in the age of the AI homework machine.
825
Chomsky on what ChatGPT is good for (2023)
The Noam Chomsky Website.
826
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.
827
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 …
828
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…
829
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.
830
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.
831
Attention Wasn't All We Needed
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
832
Positional preferences, order effects, prompt sensitivity undermine AI judgments
When Large Language Models are used as judges for decision-making across various sensitive domains, they consistently exhibit unpredictable and hidden measurement biases, making their verdicts unreliable despite common prompt engineering practices.
833
Remote Prompt Injection in Gitlab Duo Leads to Source Code Theft
The Legit research team unearthed vulnerabilities in GitLab Duo.
834
KumoRFM: A Foundation Model for In-Context Learning on Relational Data
Introduction to Kumo Relational — the relational foundation model for predictive AI on relational data
835
How Does Claude 4 Think? – Sholto Douglas and Trenton Bricken
Scaling reinforcement learning, tracing circuits, and the path to fully autonomous agents
836
837
The "AI 2027" Scenario: How realistic is it?
Everyone’s been talking about it. JD Vance read it. What does it actually tell us?
838
Claude 4
Discover Claude 4's breakthrough AI capabilities. Experience more reliable, interpretable assistance for complex tasks across work and learning.
839
MCP explained without hype or fluff
Model Context Protocol, like most protocols, solves the M ⨯ N integration problem by turning it into an M + N integration problem.
840
Adventures in Symbolic Algebra with Model Context Protocol
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future