I Programmer: AI has no intent, so not an apocalypse

The article challenges the current wave of AI doom discourse by pointing out that the very mechanism that trains LLMs, reinforcement learning, stops once training is complete. After that, the model has no reward loop, no needs and no wants. It cannot spontaneously suggest ideas or act on its own, because it lacks any internal drive. The author contrasts this with biological humans, who are bundles of needs like food, shelter and status, and argues that humans project their own motivation onto AI.

The piece distinguishes between serious AI researchers like Hinton, Hassabis and Bengio and business leaders who, in the author's view, have financial reasons to paint AI as all-powerful. It also notes that a camp including Ng, LeCun and Brooks considers current AI overhyped. For the author, motivation is the more fundamental reason not to fear a rogue AI.

The article does not dismiss all AI risk. It warns that a human could ask an AI how to end the world, and the AI might answer from its training data. The real danger, then, hinges on who is using the system and why, not on the model waking up with its own agenda.