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.
Anthropic analyzed how AI usage changes with experience. Veteran users hit 73% task success vs 67% for newcomers. The difference: iteration, not better tools.
LiteLLM, the AI API key proxy with 97 million monthly downloads, was poisoned via PyPI. Your security scanner was the entry point.
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.
Pendo's CPO ($2.6B) monitors 45 enterprise deals without attending pipeline reviews. The architecture behind personal AI systems for executive leaders.
Every open-source AI agent framework needs infrastructure to run. How to decide between self-hosting, managed platforms, and working with a technical partner.
Shopify's CEO got 53% faster Liquid rendering via autoresearch. Anthropic runs 6 marketing channels with one person. From theory to production numbers.
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