Marcus on AI • 14307 implied HN points • 08 Dec 25
- The belief that just scaling up models and data will by itself produce general intelligence has failed and the community is finally recognizing its limits.
- Current generative models are still unreliable — they hallucinate, struggle with reasoning and facts, and many businesses aren’t seeing the promised ROI.
- The next phase should be interdisciplinary: borrow ideas from cognitive science and combine symbolic, causal, and world-model approaches to build more reliable, human-informed AI.