Discover theknowable limits.

“Alignment alone is insufficient safety requires convergence guarantees at the substrate level that current frameworks cannot provide.”

“It is impossible to precisely and consistently predict what specific actions a smarterthanhuman intelligent system will take to achieve its objectives, even if its terminal goals are known argued via proof by contradiction (predicting all decisions of a superintelligence would require equal intelligence).”

“Advanced AIs cannot accurately explain some of their decisions, and for the decisions they can explain, humans would not understand some of those explanations unexplainability and incomprehensibility are complementary impossibility results.”

“AGI safety is impossible in principle because all alignment methods reduce to error correction processes that are provably unable to achieve the completeness thresholds required for safety”

“Containment strategies fail across multiple theoretical frameworks the problem is not merely technical but conceptual.”

“Impossibility results across deduction, indistinguishability, induction, tradeoffs, and intractability show that deductive barriers deny 100%guarantees for AI security and safety.”

“A rational agent has no incentive to allow itself to be switched off unless it is uncertain about its objective function uncertainty about utility is the key mechanism for corrigibility.”

“AGI containment requires testing, but testing itself is unsafe any sufficiently intelligent system has emergent incentives to tamper with its environment, escape, or manipulate developers.”

“Strict containment of a superintelligence is undecidable no algorithm can determine whether an arbitrary program will cause harm.”

“Surveys the landscape of formal verification methods applied to autonomous robots, identifying both successful approaches and fundamental gaps.”