What could hold the meaning of a principle still when the model is smarter than the people who wrote it? Text bends, judges get captured, examples get outgrown, reflection is the drift itself. One anchor survives — and it isn't one the alignment field takes seriously. Part 3 of 4.
Most of what we call AI safety is a fence around a model whose real dispositions were shaped by something else. Last month an OpenAI test agent showed what a fence is worth. Part 1 of 4 on AI alignment.
Freeze a few principles that can never move and let everything else evolve — that's how parents do it, and it looks like the answer for AI too. Then the trap: a capable model doesn't reject its principles. It reinterprets them. Part 2 of 4
Be the answer, not just a link. Tactical AEO strategies to help your content rank in AI-generated results.
A tactical SEO guide to help your content get cited by AI like ChatGPT, Claude, and Google Overviews.
AI-powered SEO isn't about replacing humans—it’s about scaling strategy smarter. CMOs must rethink SEO as AI-driven optimization, focusing on entity mentions and structured data to stay visible in AI-enhanced search results.
AI-powered SEO isn't about replacing humans—it’s about scaling strategy smarter. CMOs must rethink SEO as AI-driven optimization, focusing on entity mentions and structured data to stay visible in AI-enhanced search results.
Prompt engineering can both empower and exploit AI. IT teams must now treat adversarial prompts as a real security risk—especially before deploying LLMs in production.
