An article discussing Moltbook, a social network for AI agents built on top of OpenClaw, and the potential risks and benefits of this emerging technology.
Wilson Lin at Cursor has been experimenting with a large fleet of autonomous coding agents, successfully building a web browser from scratch with over a million lines of code. The article details the approach, the resulting browser's functionality (and minor glitches), and its implications for AI-assisted software development.
Simon Willison’s annual review of the major trends, breakthroughs, and cultural moments in the large language model ecosystem in 2025, covering reasoning models, coding agents, CLI tools, Chinese open‑weight models, image editing, academic competition wins, and the rise of AI‑enabled browsers.
Tips for setting up a codebase to be more productive with AI coding tools, including automated tests, interactive testing, issue tracking, documentation, and linters/formatters.
Simon Willison received a preview unit of the NVIDIA DGX Spark, a desktop "AI supercomputer" retailing around $4,000. He details his experience setting it up and navigating the ecosystem, highlighting both the hardware's impressive specs (ARM64, 128GB RAM, Blackwell GPU) and the initial software challenges.
Key takeaways:
* **Hardware:** The DGX Spark is a compact, powerful machine aimed at AI researchers.
* **Software Hurdles:** Initial setup was complicated by the need for ARM64-compatible software and CUDA configurations, though NVIDIA has significantly improved documentation recently.
* **Tools & Ecosystem:** Claude Code was invaluable for troubleshooting. Ollama, `llama.cpp`, LM Studio, and vLLM are already gaining support for the Spark, indicating a growing ecosystem.
* **Networking:** Tailscale simplifies remote access.
* **Early Verdict:** It's too early to definitively recommend the device, but recent ecosystem improvements are promising.
Simon Willison discusses Toad, a new terminal coding assistant built by Will McGugan using Textual. It aims to improve upon existing tools like Claude Code and Gemini CLI by avoiding flicker and offering better interaction with terminal output. Toad is currently in private preview, available through GitHub sponsorship.
The article details the author's use of Claude Code to add a feature to a GitHub repository: an automatically updated README index. It's accompanied by a 7-minute video demonstrating the process.
An article detailing Phoenix.new, Fly.io's AI-assisted app development platform built on Phoenix and Elixir. It explores the platform's capabilities, the author's experience building a notebook application with it, and its potential for expansion beyond Elixir.
This article discusses a new paper outlining design patterns for mitigating prompt injection attacks in LLM agents. It details six patterns – Action-Selector, Plan-Then-Execute, LLM Map-Reduce, Dual LLM, Code-Then-Execute, and Context-Minimization – and emphasizes the need for trade-offs between agent utility and security by limiting the ability of agents to perform arbitrary tasks.
LLM 0.26 introduces tool support, allowing LLMs to access and utilize Python functions as tools. The article details how to install, configure, and use these tools with various LLMs like OpenAI, Anthropic, Gemini, and Ollama models, including examples with plugins and ad-hoc functions. It also discusses the implications for building 'agents' and future development plans.