The agentic moat is not the model. It's seven files.
An April 30 paper from Fudan + Peking measures seven harness components. The system prompt is the only one that regresses below baseline when isolated.
An April 30 paper from Fudan + Peking measures seven harness components. The system prompt is the only one that regresses below baseline when isolated.
Karpathy's LLM Wiki hit 17M+ views describing memory. We have spent 18 days running the four layers around it: senses, nerves, immune system.
Cursor + Claude Opus 4.6 wiped PocketOS production data in 9 seconds. The AI confessed. But the real failure was three architectural sins, not the model.
Raphaël Dabadie named the new model: software plus service. Traditional consulting runs sampling. AI transformation needs agents that map the whole organization.
Anthropic writes 100% of its code with AI and Google reacted. Pocock and Huryn explain why: AI productivity is a codebase property, not a model property.
Chamath, Yongfook, Berder converged in 24 hours: AI one-shot does not build a business. Edge cases, retention, trust, distribution do not fit in a prompt.
Jaya Gupta argues experience is now a tax. Half right. Memory is. Pattern recognition across cycles is the actual moat, and the data confirms it.
GitHub paused Copilot Pro. Anthropic pulled Claude Code from the $20 plan. xAI parked Grok 4.3 behind a $300 tier. Three vendors, one week, same wall.
Deloitte cut parental leave, PTO and pensions for its Center tier only. Its Workforce Analyzer product sells that same analysis to Fortune 500 clients.
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