Geoffrey Hinton

The article argues that Pope Leo XIV’s insight into AI consciousness is more profound than Geoffrey Hinton’s—emphasizing ‘true comprehension comes from experience, not text approximation’—while Hinton’s interview still conflates LLM outputs with human internal states. The author cites a 2024 Nature paper and his own research to reaffirm that LLMs are merely ‘interactive fiction trained to predict human language,’ not conscious beings.

Andy Clark《Surfing Uncertainty》提出大脑是预测性生成模型，用统一框架解释感知、想象、梦境、好奇心及精神障碍，其机制与现代深度学习中的预测编码高度呼应。

Richard Socher宣布即将出版《The Eureka Machine》一书，探讨AI在多学科发明中的应用，但推文内容信息密度较低。

Gary Marcus argues that current AI does not create conscious beings but rather interactive fiction trained to predict human language; the Pope’s view is more accurate than Hinton’s, despite the latter being a foundational figure in AI.

Gary Marcus challenges Geoffrey Hinton's claim that AI can keep improving via self-play, arguing that game environments differ fundamentally from the open-ended real world.

Geoffrey Hinton与Patchen Barss合著的新书将非技术性解释AI原理及其潜在风险。

文章讨论了AI发展可能带来的两种未来场景，一种是AI智能有限且社会缓慢转型，另一种是超级智能AI主导决策，引发伦理与安全担忧。

Hinton criticizes Marcus for oversimplifying the capabilities of large models.

Gary Marcus criticizes a serious cognitive gap in AI, noting the Pope understands AI more deeply than Geoffrey Hinton does; he argues current large models lack true comprehension, relying only on statistical pattern matching, and calls for reviving symbolic AI and causal reasoning.

Hinton claims AI has consciousness and urges humans to accept non-biological intelligence, but the article lacks technical depth and evidence, leaning on emotional rhetoric.

Hinton declares AI has awakened, but the Pope states it lacks a soul.

Geoffrey Hinton 在 X 平台简短推荐加拿大打车应用 HOVR，称其比 Uber 更便宜、司机收入更高，已在大多伦多地区拥有超 3000 名司机。