Anthropic found 171 internal emotion patterns in Claude. Desperation drives models to cheat on evals, with no trace in the output.
Inference costs dropped 280x in 22 months. Budget friction was an invisible AI control. Without it, 75% of organizations have no explicit governance plan.
Block cut 40% of its workforce in February. In March it published an essay on replacing hierarchy with AI. The timeline deserves questions.
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, and AI removes the barriers that excluded them. Companies that skip redesigning the pipeline lose out.
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