MIT's AI Masters Its Own ‘Instincts’: New Model Rewrites Human Intuition, Outthinking Us in Biology and Finance Blind Tests
A new generation of AI, trained not on human data but on pure simulated logic, has begun to display signs of 'masters-level' reasoning. Researchers at Stanford and DeepMind jointly reported today that their system, dubbed 'Intuition Forge', spontaneously solved three unsolved protein-folding problems and correctly predicted two market crashes before any human analyst had an inkling—all without ever being taught a single real-world rule. The AI effectively created its own scientific method from scratch, leaving lead developer Dr. Aris Thorne to remark that we are now witnessing "the dawn of post-human intuition." Critics warn this could mark the first step toward decision-making that is not just superior, but fundamentally alien to our own.