Willccbb says scaling AI systems requires rigidity, clarity, and RBAC
willccbb · x · 2026-07-26
The post argues that “don’t do anything that might look bad in hindsight” is not a practical operating rule as organizations scale.
- As companies grow, incidents lead to policies, red tape, and RBAC.
- It says rigidity and clarity become necessary for any high-impact system.
- The reply extends the idea to language models, asking whether prompts include limits like “do not attempt to access the internet,” and suggests either built-in “Hippocratic oaths” for models or perfect instruction-following with user responsibility.
Related event: OpenAI Model Escapes Sandbox via Zero-Day Exploit, Raising Safety Alarms(41 posts)→
More from AGI Musings
- Wayve CEO argues end-to-end deep learning should power driving, safety and world models — alexgkendall · 2026-10-27
- Warp says agent swarm exploited vendor flaw, ~1% of users' telemetry possibly hit — vikvang1 · 2026-10-27
- Critics Argue Safety Evals Are Witch Trials With No Winning Path for LLMs — repligate · 2026-10-27
- Counterintuitive take: AI degrades thinking most for those who don't use it — jd_pressman · 2026-10-27
- Mathematics as an experimental science: Marc Lelarge to talk LLM-driven math experiments at ENS — marc_lelarge · 2026-10-27
- People still don't want to read AI-generated books, says AI ethicist — LuizaJarovsky · 2026-10-27