Not an AI winter at all GLM 5.2 proves this and instead this may be a self-inflicted US AI leadership winter @AndrewCurran_ @pierrepinna @Zai_org
@deeplearn007
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Chinese models efficiency with MoE and open source vs proprietary AI
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Is there also not a driver in Chinese models have more efficiency w/ MOE and other innovations in open source stack vs proprietary AI models? And also maybe because US players are providing data centres to most of the world?
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AI architecture compared to dinosaurs: huge consumption and vast size
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This is very true. Our current AI architecture is reminiscent of dinosaurs- huge consumption and vast size.
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ASI emerges 3 months post-AGI but not 3 months from now
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It may be possible in some scenarios that ASI occurs 3 months after AGI but ASI is not 3 months away from today.
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Proprietary labs vs open source efficiency moats
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@kimmonismus bursting for proprietary frontier labs rather than open source players who focus on efficiency rather than cost as a moat.
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Unfair comparison: US costs soar, Chinese open source gains
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Unfair comparison as revenue figures not quite apples to apples plus over time I can see the Chinese open source gaining massive momentum as US frontier model costs skyrocket – the most of size and scale results in an Achilles heel of soaring costs
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AI Robotics Challenges in 2030s Impact Employment and Pensions
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Additional challenges will be posed by advanced AI robotics in the 2030s and their impact upon employment and pensions funding.
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Who will finance pensions with AI robots?
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The question remains: if robots equipped with advanced AI take over a large part of work in the 2030s, who will then fund pensions?
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Anthropic’s Fable and Mythos risks highlight Europe’s AI giants gap
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The examples around Fable from Anthropic, risks from Mythos, lack of AI giants across Europe including UK leads to gaps in defence and economics
