Maybe you have recently become aware of the AI safety debate and the arguments swirling around it.
If you want to understand them, you need to understand a couple things that almost everyone gets wrong:
There are TWO distinct classes of AI dangers, and it's VERY important to
"When liability exposure approaches 0—when no one pays the price for unverified failures—verification budgets collapse...Deployers flood the Runaway Risk Zone with unmonitored agents, capturing the gains of automation while socializing catastrophic risks."
1/ When we looked at the economics of AGI, the key policy challenge was immediately clear:
AI drastically lowers the cost of execution for anything easy to verify.
For everything else, verification is the bottleneck.
Strong liability enforcement could be helpful in the AI debate.
If your agent swarm goes rogue, you’re liable.
If your weakly protected model gets jailbroken, you’re liable.
If you serve a weakly protected OSS model, you’re liable.
