Curated essays on AI, agentic systems, and the evolution of digital consciousness
31 featured posts
When Washington export-controlled Fable 5 off the planet on Friday, the easy take was 'China wins.' That's the small version. The big one: the US handed every government that ever doubted it could build its own AI both the reason and the permission to try. Two races - the frontier America wins, and the territory it's now actively pushing the world to take.
Read more →For fourteen months Anthropic told Washington its frontier models were national-security-grade dangerous. It was marketing - the moat behind the safety brand. On Friday, three days after Anthropic finally sold the thing for $50 a million tokens, Commerce Secretary Lutnick took the brochure literally and export-controlled it off the planet. The wolf was always fake. A villager finally believed it.
Read more →Every hour you spend making the current generation of AI tools more compliant is an hour the next release writes off. I've documented this pattern for a year without naming it: frameworks absorbed, prompt tricks obsoleted, guardrails outlived. Here's the name, the receipts, and the one kind of scaffolding that survives.
Read more →Anthropic just released Fable 5, a Mythos-class model for everyone, eight days after filing its S-1 and days after calling for a brake pedal on frontier AI. The danger narrative ended exactly when the monetization was ready - and one of the three 'safety' classifiers guards the moat, not the public.
Read more →Anthropic filed a confidential S-1 on June 1 at a $965B valuation, eclipsing OpenAI. Read backwards from the filing, the last two years stop looking like a safety lab's awkward compromises and start looking like a pre-IPO playbook executed on schedule.
Read more →Two weeks after Anthropic said Mythos was too dangerous to release, OpenAI shipped a model with comparable cyber capabilities to anyone with a $20 ChatGPT subscription. The gating posture didn't survive a single news cycle.
Read more →A CTO once told me not to take people's Legos away. I ignored him, solved the team's problems myself, and got exactly what I optimised for: a sound plan and a team that couldn't stand me. In 2026, with agents doing the bricks, this is the lesson that matters.
Read more →Anthropic released claude.ai/design. I pointed it at this blog, fed the export back into Claude Code, and watched the thing redesign itself. The handoff was better than most I've gotten from humans.
Read more →One engineer, one AI, eight pull requests closing a multi-root-cause production incident. The same day, a look at a shiny greenfield rewrite candidate. The gap between what AI helps you fix and what a clean rewrite can't give you is the entire argument.
Read more →Berkeley just built an agent that games AI benchmarks. Karpathy called it months ago. The best coding model doesn't top the charts, the highest-ranked Chinese models disappoint in practice, and the entire leaderboard industry optimizes for the wrong thing.
Read more →Four days after Anthropic launched Project Glasswing, a security startup reproduced Mythos's flagship findings using tiny open models costing $0.11 per million tokens. The velvet rope was porous on arrival.
Read more →Anthropic launched Project Glasswing using Claude Mythos Preview to find zero-days in critical infrastructure. A 72.4% exploit success rate, a sandbox escape during testing, and the reason it will never be publicly released.
Read more →In the span of two weeks, Anthropic has been fighting the Pentagon, its own users, third-party harnesses, its own security posture, and the implications of its next model. The common thread is control.
Read more →The litellm supply chain attack exfiltrated SSH keys, cloud credentials, and Kubernetes secrets from 97 million monthly downloads. A security scanner was the entry point. The scariest part: it was caught by accident.
Read more →Anthropic shipped Claude Code Channels - text your agent from Telegram. It's OpenClaw's core feature, rebuilt as a platform primitive. The absorption pattern completes its biggest cycle yet.
Read more →FameCake's AI journey: from 15 style transforms as the headline feature to content moderation and outpainting as the survivors. What five months taught us about AI in products.
Read more →Prompt injection through pull requests, GitHub Issues, and CI/CD pipelines is turning AI coding assistants into weapons against the developers who use them. The 2026 attack surface nobody's talking about.
Read more →A German general's 1933 framework for categorizing officers maps perfectly to engineers using AI. The most dangerous quadrant - stupid and industrious - is exactly what AI amplifies.
Read more →The tool was rewritten five times. The discipline to use it wasn't rewritten once. A year of daily AI-assisted development, what it changed, and what it didn't.
Read more →Jira, Confluence, standups, sprint planning - all optimized for human coordination overhead. In an agent-native world, the bottleneck isn't status updates. It's whether the agents are unblocked.
Read more →Anthropic built a full multi-agent orchestration system into Claude Code. It's feature-flagged off. The community found it anyway.
Read more →75M monthly downloads. 80% revenue drop. 75% of engineers gone. AI didn't replace developers - it replaced the web as the interface layer. That's worse.
Read more →Stanford data confirms experienced devs are safe. But if AI replaces the on-ramp, where do future seniors come from?
Read more →Complex AI scaffolding tools appeal to people who understand traditional SDLC. But AI collapses the phases that made those models useful.
Read more →Andrej Karpathy built the neural networks inside coding assistants. He taught deep learning to a generation. He feels dramatically behind. If the experts are lost, what does that tell us?
Read more →The real revolution isn't AI in your terminal. It's moving at the speed of thought from a single interface. When friction exists, build a CLI.
Read more →Steve Yegge and Gene Kim explain why Claude Code 'ain't it' yet, why senior engineers are resisting, and what next year's tools will actually look like.
Read more →At around 30 employees, growing companies either mature or become toxic. Here's the playbook for organizational dysfunction - and why your engineering leaders keep leaving.
Read more →The PM/Eng split dissolved into product engineering. Now the traditional software development lifecycle is following suit as coding agents handle multi-hour tasks across planning, building, testing, and deployment.
Read more →How AI and spec-driven development are fusing product management with engineering, creating a new hybrid role that's transforming how small teams ship software.
Read more →MCPs, subagents, and automation are tempting. But the developers getting the most from Claude Code aren't rushing to advanced features - they're mastering the fundamentals.
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