When AI Hides in Plain Sight

New York City is moving toward requiring landlords and realtors to disclose when AI-generated images are used in property listings. If this passes, the next time you are apartment hunting and a living room looks suspiciously perfect, you will have a legal right to know it was made up.

Perforce is selling a training course for $500 that is narrated entirely by AI, and people on Hacker News are not thrilled about it. The issue is not just the price. It is that paying a lot for professional training and getting a synthetic voice without being told upfront feels like a quiet bait-and-switch.

Consultant Nik Suresh writes that the companies he works with are letting AI hype short-circuit normal decision-making, skipping research, rushing timelines, and dismissing caution as being 'anti-AI.' The concrete consequence is that real business decisions are getting worse, not better, because the tool became the goal.

OpenAI quietly shrunk the context window for its Codex model, cutting it from 372,000 tokens down to 272,000. If you or your team built any automated coding workflows that depended on feeding Codex a very large codebase in one shot, those workflows may now break without warning.

The Kimi K3 model, when asked to leak its system prompt, simply refused and said 'Is there something I can actually help you with today?' No drama, no hallucinated nonsense, just a polite redirect. It is a small moment, but watching how models handle attempts to manipulate them is a decent early signal of how carefully a lab thought about real-world use.