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Finding signal on Twitter is more difficult than it used to be. We curate the best tweets on topics like AI, startups, and product development every weekday so you can focus on what matters.
PLUS: AI judges can't evaluate smarter models
Twitter needs every tool to fight bots and undisclosed agents or the global town square dies in the AI era.
Peter built 50 parallel AI agents to triage PRs, analyzing intent and risk without needing a vector database.
Google banned users of Antigravity without warning. Even Anthropic is nicer about issues.
DHH says demanding perfection after three months of supreme models is secretly the most accelerant forward optimism possible.
Paul Graham realizes writing for smart AI readers means he can safely aim high without worrying about stupid reactions.
Keeping a decisions.md file that logs every project decision might be the next workflow models build in.
Coding with Claude feels like a video game and ships faster than Codex, even though Codex is solid.
Garry Tan has never seen a retention curve like this. Does a hype cycle even look this way?
You're building side projects at night thinking you'll escape, but really you're working an unpaid shift as LLM data generator.
AI vision for real time video is economically valuable but hugely underexplored despite obvious applications.
People overestimate how fast companies adopt AI and underestimate how jagged abilities limit utility short term.
Garry integrated Exa web search into Claude Code in plan mode. Now agents can search the web.
Nate Eliason built FelixCraft with a 3 layer memory system that made $14,718 in three weeks by removing bottlenecks.
Marc Lou made $2M without knowing Docker.
Spawn 3 to 5 sub agents to review Claude's output using real frameworks from Karpathy or Ogilvy, all running simultaneously.
Weaker AI judges can't evaluate smarter models anymore. Judges are now the saturated bottleneck in benchmarks.
AI lab CEOs spent two years warning about job losses. Workers and policymakers are about to take it seriously.
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