Marcus on AI • 13872 implied HN points • 08 Mar 26
- Commercial AI leaders often use hype to raise money, overpromise on AGI timelines, and prioritize growth over clear accountability.
- Using large language models in high‑stakes settings like military targeting can cause deadly errors, and putting humans 'in the loop' doesn’t stop mistakes when operators are overloaded or overtrust the AI.
- Companies claim to care about safety but sometimes abandon pledges, rely on dubious training practices like scraping copyrighted work, and push fragile, hard‑to‑secure agent systems that create real negative side effects.