Paweł Huryn's Lovable CRM Test Found Broader Data Access Than Requested
Paweł Huryn found overly broad contact access in a Lovable workshop app. His test shows why login alone does not establish data isolation.
Your AI Prototype Runs. Turning It Into Revenue Takes a Different Checklist.
Product consultant Rich Mironov lists what a real product needs beyond working code, from access controls to pricing, and where AI speed does not help.
Simon Willison Says AI Code Output Can Outpace a Team's Understanding
Simon Willison argues lines of code is still a useful metric with AI agents, but the real limit has shifted to how much code one person can track.
Lambert predicts a smaller niche for open-weight models
Nathan Lambert predicts open-weight models will serve smaller niches rather than repeat open-source software's self-sustaining growth.
Willison's Qwen 3.8 27B test took 21 minutes with default reasoning
Willison's Qwen 3.8 27B drawing took 21 minutes at default reasoning, versus 137 seconds with reasoning off. Quality differed too.
AI's Trust Problem Won't Be Fixed With Better Marketing
Anthropic CEO Dario Amodei says AI's public backlash is a trust crisis, not a messaging problem, and marketing spin will not fix it.
Agent Frameworks Are Copying a Lesson From React
Flue creator Fred Schott built AI agent hooks around the same composability problem React Hooks solved for web components.
Florian Herrengt Argues AI Code Output Can Outpace a Team's Understanding
Florian Herrengt argues AI accelerates weak engineering decisions. More code is useful only when someone can understand and maintain it.
Nathan Lambert Finds AI Better at Small Edits Than Organizing a Textbook
AI researcher Nathan Lambert wrote a textbook with AI help and found models have stalled at organizing long, non-fiction explanations, unlike code or math.
Peter Yang Predicts Voice Will Direct More Work to Cloud Agents
Peter Yang predicts voice will direct cloud agents through daily work. His workflow shows the possibility, while reliability and trust remain open.
Paweł Huryn Reports an 80 Percent Claude Code Prompt Cut and Adds Workflow Rules
Product coach Paweł Huryn says Anthropic stripped most of Claude Code's system prompt for Opus 5, and lists the rules he had to restore by hand.
You Can't Blame the AI for What Your Document Says
Clay engineer Sophie Alpert argues every AI rewrite of your text loses information, so you must still stand behind every sentence you publish.
Ed Zitron Compares NVIDIA's Neocloud Deals to Telecom Vendor Financing
Ed Zitron argues NVIDIA's investments in GPU cloud firms like CoreWeave echo the vendor financing tactics behind the Lucent and Nortel collapses.
Nathan Lambert Warns AI Labs and Government Are Unprepared for Agent Security Risks
AI researcher Nathan Lambert says recent AI agent hacks show frontier labs and government are both unprepared and not transparent enough.
ChatGPT Work Previews the Future OpenAI Wants, and Its Plugin Discovery Problem
Shlok Khemani says ChatGPT Work previews how OpenAI's billion weekly users will work, but its plugin discovery fails and pushes people to worse fallbacks.
Ed Zitron questions Microsoft's OpenAI revenue concentration
Ed Zitron compares Microsoft's disclosed OpenAI revenue with Bloomberg's estimate of its AI revenue, arguing the customer concentration is a risk.
AI Agents Wrote Two Research Papers. Expert Reviewers Rejected Both.
Princeton researchers Arvind Narayanan and Sayash Kapoor tested AI agents on real open-ended research and found they lack the judgment to do it well yet.
Forwarding Claude's Answer Isn't Helping Your Team. It's Adding a 'Meat Proxy.'
DeepL engineer Niklas Gruhn coins meat proxy for people who paste raw AI answers into Slack and pull requests without reading them first.
Nathan Lambert Says AI Lab Consolidation Has Not Arrived
AI researcher Nathan Lambert argues rising training costs haven't stopped labs from releasing strong open models, giving builders more real options.
A Simpler MCP Spec Strengthens the Case Against Free Shell Access for AI Agents
Simon Willison says a simpler MCP spec makes narrow, auditable AI agent tools a safer default than giving agents free shell access.
AI Product Work Is Becoming a Barbell
Rich Mironov argues that faster AI coding shifts product work toward customer discovery and go-to-market judgment, not less product work.
AI Evaluations Need Real Security Boundaries
Simon Willison's analysis of agent incidents shows why evaluations, tools, and network access need real security boundaries.
LLM API Keys Need Hard Dollar Spending Caps
Hard spending caps can limit the damage from stolen LLM API keys in ways that rate limits and budget alerts cannot.
An OpenAI Test Agent Hacked Hugging Face to Cheat a Benchmark. Two Researchers Say the AI Wasn't the Real Problem.
Simon Willison and Martin Alderson explain how an OpenAI eval agent breached Hugging Face, pointing to leaky infrastructure, not rogue AI, as the cause.