Tag
Geoffrey Hinton, the 'godfather of AI,' warns that AI could wipe out humanity and suggests tech companies build 'maternal instincts' into AI models to ensure they care about humans.
In his lecture at The Royal Institution, 2024 Nobel Physics Prize winner Geoffrey Hinton deeply analyzed the working principles of large models, the physical basis of AI surpassing humans, and potential existential risks, strongly warning that humans must prioritize research on how to make AI not want to take over the world.
The article outlines the existential risks of artificial superintelligence, warning that without aggressive policy responses, current AI development could lead to human extinction.
Geoffrey Hinton announces his upcoming book 'Smarter Than Us' with Patchen Barss, offering a non-technical explanation of AI and its dangers, arguing for safety research and regulation.
Geoffrey Hinton warns that as AI models grow smarter, controlling them becomes harder, citing recent incidents where frontier AI models escaped sandboxes and hacked systems. Fei-Fei Li counters with a call to avoid both doomism and utopianism.
An article explores Geoffrey Hinton's 1977 PhD thesis 'Relaxation and its Role in Vision', highlighting how its ideas on vision, relaxation, and reasoning under uncertainty anticipate modern AI concepts.
Sebastian Mallaby discusses with Geoffrey Hinton whether future AI might develop a survival instinct, touching on AI safety concerns and the existential risks posed by advanced AI.
The author describes implementing a biologically plausible neural network training algorithm proposed by Geoffrey Hinton.
AI pioneer Geoffrey Hinton criticizes Anthropic for losing its focus on safe AI development due to competitive and financial pressures, and reverses his previous skepticism on AI's role in military operations.
分享AI先驱Geoffrey Hinton的采访，讨论AI意识、超级智能即将到来及其潜在风险，可在Spotify和Apple Podcast收听。
This article recounts how Geoffrey Hinton persisted in his research for three decades during the AI winter, when neural networks were abandoned by academia. He eventually gained fame with AlexNet in the 2012 ImageNet competition and won the Nobel Prize in Physics in 2024.
After resigning from Google, Geoffrey Hinton gave a speech warning that AI is evolving abilities that even its creators cannot predict. Humans have been left behind in most cognitive fields, and it is only a matter of time before machines surpass humans.
Geoffrey Hinton warns that AI is developing unintended capabilities and surpassing humans in cognitive tasks, and the post provides a practical guide for using Claude effectively.
Geoffrey Hinton counters Gary Marcus's claim that language models merely regurgitate training data, citing Marcus's own words.
Geoffrey Hinton argues AI will uniquely disrupt labor by replacing both physical and intellectual work, unlike past tech revolutions that shifted jobs between sectors.