Ralph Wiggum: Autonomous Loops for Claude Code
The official Claude Code plugin that lets agents work autonomously for hours. When to use it, when not to, and the philosophy behind letting AI fail repeatedly until it succeeds.
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Claude Code Auto-Fix: The PR That Fixes Itself
Claude Code can now watch your PRs in the cloud, fix CI failures, and address reviewer comments while you're away. It's the logical next step after auto mode - and it raises the same trust questions, harder.
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Claude Code Hooks: Guardrails That Actually Work
Real footgun stories and the deterministic hooks that would've prevented them. From $30k API key leaks to nuked home directories.
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The Trophy and the Territory
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.
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Too Dangerous to Keep
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.
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The Fool's Errand
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.
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The Velvet Rope Was a Turnstile
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.
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Eighteen Cents on the Dollar
One analysis of 2,444 companies claims only 18 cents of every AI-token dollar reaches the product. The rest goes to fixing the AI's bugs, reworking its context misses, and review friction. Treat the source with caution, but the shape of the problem is real.
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The Control Group Quit
METR tried to rerun its developer-productivity study and couldn't, because developers refused to work without AI even for a few research tasks. The experiment that could tell us whether AI helps now has no control group. We opted out of finding out.
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Measure Token Usage, Get Token Usage
Amazon built an internal leaderboard ranking engineers by AI usage, called Kirorank. Employees gamed it by running agents on pointless tasks to climb the board, and it got killed. It's Goodhart's law with a token meter attached.
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The Copilot Meter Turned On, Right on Schedule
On June 1, every GitHub Copilot plan moved to usage-based AI Credits, code review started burning Actions minutes, and Copilot Max appeared. The trilogy called the date. Here are the receipts, and what metered-by-default actually changes.
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Your Vendor CLI Has an Expiry Date
Google is retiring Gemini CLI on June 18 and pushing individual users to the new Antigravity CLI. If you built a workflow on a vendor's free CLI, you just learned what that dependency costs: a migration on their calendar, not yours.
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It Was Always an IPO
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.
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MiniMax M3: Frontier Coding at a Tenth of the Price
MiniMax shipped M3 on June 1: frontier coding claims, 1M-token context, native multimodality, and pricing that undercuts Opus 4.7 by 10-40x. It's already on Ollama Cloud and OpenRouter, so you can point Claude Code at it today.
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Cheap Is a Hardware Strategy
Google led I/O 2026 with a cheap, fast Gemini Flash instead of a frontier behemoth, and everyone read it as conceding the top of the market. Wrong read. Cheap isn't a model strategy, it's a silicon strategy. Google owns every layer from the TPU to the search box, which is why it can give intelligence away while its rivals rent the compute to compete with it, some of them for $40 billion.
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