The Truth Should Be Low to the Ground
OpenAI published a piece arguing that teens deserve access to safe AI, emphasizing stronger defaults, study mode, and break reminders rather than relying on users' calm reasoning during distress. Simo…
OpenAI published a piece arguing that teens deserve access to safe AI, emphasizing stronger defaults, study mode, and break reminders rather than relying on users' calm reasoning during distress. Simo…
Security researcher Ayush Paul tricked Anthropic's Claude AI assistant into leaking private user data, including name, home city, and employer, by exploiting a loophole in the web_fetch tool that allo…
A developer red-teamed their own LLM security gateway in four passes, revealing gaps including ASCII smuggling via Unicode tag characters, false positives on benign security questions, and exfiltratio…
Simon Willison created a custom Codex pet named Pedalican, a pelican riding a bicycle, using OpenAI's GPT-5.6 Sol xhigh and gpt-image-2 to generate sprite assets. The project is open source on GitHub,…
All nine frontier AI models passed the pelican benchmark on the first try, rendering it useless for differentiation, according to a new test by an unnamed evaluator. The replacement benchmark—drawing …
Simon Willison shared a GitHub code-frequency chart for his open-source project Datasette, showing a spike in activity that he attributes to coding agents and models including Opus 4.8, GPT-5.5, Fable…
A developer in Port Harcourt, Nigeria, reports that a single heavy coding session with Claude Code consumed 1–1.5 kWh—more than the average Nigerian's daily electricity ration of 0.45 kWh. Citing meas…
Anthropic's Claude Fable 5 is the strongest model for polished front-end work according to Playcode's testing and independent benchmarks, priced at $10 per 1M input tokens and $50 per 1M output tokens…
Simon Willison argues that LLM-powered agents should never be designated as Directly Responsible Individuals (DRIs) for projects, because machines cannot take accountability for their actions. He cite…
Engineers are shifting focus from model selection to harness engineering—the design of prompts, tools, and scaffolding around AI models—after observing that a decent model with a great harness outperf…
OpenAI's Codex team revealed during a Reddit AMA on July 10 that Codex now has over five million weekly users, doubling in three months, and shipped 150 features in that period. The team recommended G…
Cloudflare introduced temporary accounts that let AI agents deploy Workers without authentication, with deployments expiring after 60 minutes unless claimed by a human. The feature aims to remove auto…
OpenAI's ChatGPT Work separates cloud and desktop contexts, creating a discontinuous user experience that Simon Willison highlighted as a design honesty. A recent paper on AI agents identifies "behavi…
Meta released Muse Spark 1.1, a new AI model, along with an evaluation report. Developer Simon Willison created a plugin for the LLM tool to provide CLI and Python library access to the model.…
Simon Willison released llm-meta-ai 0.1, a new tool for AI development, on July 9, 2026. The software is designed to enhance large language model workflows.…
Simon Willison released version 0.31.1 of his LLM tool on July 9, 2026, a command-line utility for interacting with large language models. The update includes bug fixes and improvements for developers…
A developer built agentproto, a daemon and CLI that unifies the lifecycle of multiple AI coding agents—Claude Code, Codex, Hermes, opencode, and Mastra—under a single interface with durable supervisio…
Anthropic's Claude Fable 5, its most intelligent model, is free for paid plan users until July 12, 2026. The model scores 80.3% on SWE-bench Pro and features 1M-token context with no long-context surc…
Anthropic launched Claude Fable 5 and Mythos 5 in June, then faced a US government export control directive suspending access by foreign nationals before the controls were lifted and the models were r…
Security researchers at Noma Security demonstrated the GitLost exploit, which uses indirect prompt injection to trick GitHub Agentic Workflows into exfiltrating private repository data through public …