Top AI companies run 12.8 eval experiments daily. Most B2B companies run zero. Evals compound with every model change. Prompts start over.
Stanford measured 58% sycophancy in leading AI models. Andrej Karpathy discovered the same thing. What this means for your enterprise decisions.
Alfred Lin says the risk is moving too slowly. But buying AI tools isn't velocity — it's checking the box. What you need before you can actually play offense.
Anthropic exposed ~3,000 internal documents through a CMS error, including Claude Mythos, their most advanced model. What changes for your AI strategy.
54% of SMBs lack AI expertise and 41% prefer local providers. The data confirms: the real money in AI is in the installation.
15-20% of your talent pool thinks differently. AI removes the barriers that excluded them. Companies that don't redesign their pipeline lose their best performers.
Ramp data: top AI spenders doubled revenue since 2023. The difference isn't which model — it's how deeply AI lives inside operations.
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.
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