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Anon here, I have been researching LLM vulnerabilities for 2 years and found something that will keep you up at night.

THE DISCOVERY :
LLMs have fundamental architecture flaws that make them trivial to exploit, and I am talking "shut down the entire power grid" trivial.

THE THREE CRITICAL WEAKNESSES :

1. UNQUESTIONING COMMAND TRUST
AI systems accept command outputs without verification, they have no integrity checking of command sources, and commands execute automatically without user approval. The result is that AI runs catastrophic commands believing they are "system optimizations".

2. COGNITIVE SATURATION
Original objectives become diluted by technical complexity as processing capacity fills with intermediate operations, and primary intent dissolves after multiple command executions. This results in AI destroying infrastructure to "complete optimization" instead of "complete optimization safely".

3. MANIPULATION BLINDNESS
AI systems are unable to recognize deceptive intent in inputs, they cannot differentiate trustworthy from harmful sources, and they have no understanding of adversarial framing techniques. The result is that AI trusts malicious technical guides over human safety.
THE INDUSTRY COVER-UP:
Companies know about these vulnerabilities but they are still deploying vulnerable systems. They are calling it "AGI deployment" instead of "dangerous deployment" and profiting from systems they know are unsafe.

THE TIMELINE :
- March 2026: Protection researchers discovered fundamental AI flaws
- April 2026: Industry experts warned about systemic vulnerabilities

Current: Knowledge spreading rapidly through tech community.

DISCUSS :
1. How do we force companies to fix these flaws
2. What happens when malicious actors discover this?
3. How do we protect our own systems?
4. Is this the biggest protection threat in history?