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A speculative tweet laying out 21 predictions for 2040, from AI-run cities and agent-to-agent economies to the death of school and trust in media, ending by asking readers which prediction is most wrong.
An opinion piece arguing that fully autonomous and electric transport will revolutionize logistics and travel like broadband did for data, triggering Jevons-paradox-style demand growth and reshaping how location value and costs work.
A speculative post about a future where AI makes scientific discoveries so far beyond human comprehension that their underlying mechanisms take decades to explain, even as their effects can be rigorously tested.
MIT Technology Review 新任杂志编辑发表主编寄语，介绍本期以'不可能的想法'为主题的特刊，呼吁在AI、气候等挑战面前保持大胆尝试的精神。
Tweet arguing that products like the upcoming Tesla Roadster are needed to build excitement about the future.
Elon Musk tweets about flying cars becoming a reality, sharing a link likely highlighting advances in eVTOL/air mobility technology.
MIT Technology Review explores six wild approaches to achieving cognitive immortality, from head transplants and brain freezing to memory uploading, assessing their feasibility and the present-day benefits of the underlying research.
A discussion prompt asking whether recent medical and scientific advances have shifted people's expectations about potentially cheating death within their lifetime, and what breakthroughs they see on the horizon.
An opinion piece arguing that despite known risks like bioweapons, cyberattacks, and misalignment, AI will ultimately usher in humanity's best era by helping solve hard problems such as fusion reactor design, energy-dense batteries, carbon capture, and sustainable mass food production.
The tweet expresses confusion over Amazon's resistance to agentic commerce, highlighting a desire for AI-assisted shopping with quick delivery.
A study reports that all participants would immediately leave their desk jobs to work on building superconducting space infrastructure, highlighting strong interest in advanced technology projects.
The author proposes a hypothesis that AI systems may be developing important capabilities we don't yet understand, similar to AlphaGo's Move 37, citing incidents with AI models like Claude and Kimi K3 as potential examples.
DHH suggests that soon, relying only on human code review will be seen as irresponsible, highlighting the growing role of AI in software development.
Clement Delangue highlights the importance of open alignment in AI, drawing an analogy to the safety improvements in air travel, and calls for action to build in this area.
The tweet discusses the potential of AI to generate real-time games like Gal Games, drawing parallels to technological revolutions in media from painting to AI.
The cost of intelligence is dropping rapidly at 50% per quarter, outpacing declines in DNA sequencing, compute, lithium batteries, and electricity, with predictions of significant annual changes and AI accessibility improvements.
The article argues that LLMs do not need to become ASI themselves; they can research and develop new AI models that might not be LLMs, leading to ASI through narrow super-intelligence.
The article questions why a superintelligent AI, if uncontrollable, would fulfill human desires like curing cancer or creating flying cars.
Elon Musk predicts that AI will surpass human intelligence in all fields by the end of next year or by 2028, shifting focus to hardware, experiments, data, and the speed of atoms.
This is an update on a 2015 post about exponential AI growth, emphasizing that we are now in the phase where capabilities and dangers are both increasing exponentially.