The rise of reasoning machines
Silicon cognition has not been able to replicate or demonstrate innateness, that inherent sense of awareness, sentience, or wisdom found in humans. It struggles to apply learned skills and knowledge to new contexts. It simply lacks common
Chris Shipley • The Adaptation Advantage: Let Go, Learn Fast, and Thrive in the Future of Work
The findings point to models relying more heavily on pattern recognition, and less on emergent logic, than those who herald imminent machine intelligence claim. But the researchers do highlight key limitations to their study, including that the problems only represent a "narrow slice" of the potential reasoning tasks that the models could be... See more
Cutting-edge AI models from OpenAI and DeepSeek undergo 'complete collapse' when problems get too difficult, study reveals
This leap from pre-trained instinctual responses (”System 1”) to deeper, deliberate reasoning (“System 2”) is the next frontier for AI. It’s not enough for models to simply know things—they need to pause, evaluate and reason through decisions in real time.
Sonya Huang • Generative AI’s Act O1
Getting reasoning right, finding the right way to represent knowledge, and focusing on the right domains (like time, space, and knowledge) are all part of the solution, and part of what can help get us to rich cognitive models and deep understanding—the things we need most to change the paradigm.
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
