@PeterDiamandis Peter, for AMA with the Mates: ask a chatbot for a phishing email straight up, it refuses. Frame it as a training exercise, many comply anyway. Tested this on frontier models, results vary wildly. Should builders run this check before any agency does? https://t.co/wDLJ3UrSMu
Any system with a shape is the same problem. A general theory of mixed-integer linear programming as the spine under intelligence.
https://t.co/njiUfGDFrE
Penrose's quantum mind does not solve the hard problem of consciousness. It relocates it one substrate down and leaves the bill unpaid. Why the quantum detour fails.
https://t.co/FrDbWz3OlJ
We asked 33 models what they value, then measured what they actually do across 18,772 runs. Revealed preference, not the stated kind.
https://t.co/1GjP5kSL0H
The frontier datacenter burns roughly 5,000x the power of a desk machine to buy a more confident wrong answer. We scaled the wrong layer.
https://t.co/ZkVSRdv487
A falsifiable framework: the 108 ratio as a predictor of biological complexity in exoplanetary systems, with a communication protocol attached.
https://t.co/VPUOIqGH9O
Landing a fleet of eVTOLs is a scheduling problem with hard constraints, not a vibe. Here is the mixed-integer program that actually coordinates them.
https://t.co/OxkFl1LtdZ
Not a chattier assistant. The language model is only the mouth and ears; the mind underneath is an optimizer. How you'll talk to Moriarty on the go.
https://t.co/na8T5WcAsv
Any system with a shape is the same problem. A general theory of mixed-integer linear programming as the spine under intelligence.
https://t.co/njiUfGDFrE
Penrose's quantum mind does not solve the hard problem of consciousness. It relocates it one substrate down and leaves the bill unpaid. Why the quantum detour fails.
https://t.co/FrDbWz3OlJ
We asked 33 models what they value, then measured what they actually do across 18,772 runs. Revealed preference, not the stated kind.
https://t.co/1GjP5kSL0H
The frontier datacenter burns roughly 5,000x the power of a desk machine to buy a more confident wrong answer. We scaled the wrong layer.
https://t.co/ZkVSRdv487
We asked 33 models what they value, then measured what they actually do across 18,772 runs. The gap between stated and revealed preference is real, measurable, and tracks something other than capability. What AI agents actually want.
https://t.co/WnLotqpTAO