17 million saw Karpathy's post about LLM knowledge bases. Most copied the folder structure. Few understood the real shift: knowledge that compounds vs. knowledge that rots.
Google DeepMind mapped 18 attack types against AI agents. A viral thread fabricated the paper's numbers. The irony proves the thesis.
Simon Willison is wiped out by 11am directing agents. Andreessen says execution is dead. The bottleneck your company faces just moved.
Mercor, the $10B AI startup training models for OpenAI and Anthropic, fell to the LiteLLM supply chain attack. Lapsus$ claims video interviews, face scans, and passports from 30,000+ contractors.
LiteLLM, the AI API key proxy with 97 million monthly downloads, was poisoned via PyPI. Your security scanner was the entry point.
Anthropic analyzed how AI usage changes with experience. Veteran users hit 73% task success vs 67% for newcomers. The difference: iteration, not better tools.
Google shipped a full design-to-production pipeline with Stitch and AI Studio. Where it works for B2B prototypes and where you still need real engineering.
Karpathy codes in English, 100% of Nvidia uses AI coding tools, Boris Cherny hasn't coded in months. The SDLC collapsed. What replaces it now.
Uber: 92% of engineers use AI agents monthly, ~70% of code is AI-generated, 11% of PRs ship with no human author. What this means for your B2B team.
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