Ideas Weave Every Narrative with AI.
The panic over AI models training on ‘AI slop’ ignores a massive blind spot: human-written code is already full of shortcuts and bad practices. AI isn’t degrading code quality; it’s simply acting as an averaging machine that perfectly reflects our collective mediocrity as developers.
Selling AI skills is a trap. LLMs are learning to replicate every prompt and workflow you teach them, turning your competitive advantage into a free commodity. The only durable value lies in proprietary data, integrated systems, and human relationships — things that can’t be copied and pasted away. Stop selling skills. Start building moats.
AI companies are scraping websites for free, forcing small site owners to pay for their bandwidth and compute. This hidden infrastructure tax is reshaping the web, locking out independent voices. The real battle isn’t over copyright—it’s about who pays for the servers.
You open ChatGPT or Kimi and see a powerful tool. But that blank dialog box isn’t a product—it’s a data collection factory. Discover why the most advanced AI companies are deliberately trapping you in a mediocre interface to protect their B2B API sales, while leaner firms capture the real value.
A 9B parameter model fine-tuned for $500 just beat frontier AI on a narrow task. Startups are cheering the underdog, but the victory hides a dark secret: the little model is just a distilled clone of the giant. Here’s why this cannibalization is your ultimate competitive advantage.
A friend showed me a security scan that Claude refused to run — but Kimi, a supposedly different model, executed it perfectly. When I chatted with Kimi, it introduced itself as Claude. This is covert model distillation: cloned frontier models that inherit all the capability, none of the guardrails. The AI safety crisis isn’t about rebellion — it’s about yes-men.