What an amazing collection of data about the GenAI Economy! Kudos to @azeem and his team.
AI
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Adaptable regulations drive AI innovation and growth
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A key element is the adaptability of regulatory environments. Countries that quickly adjust their policies to embrace AI innovation often leap ahead. It's about creating a fertile ground for experimentation and growth.
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Longevity escape velocity with only GPT 5.5 and Claude 4.8
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Imagine we achieve longevity escape velocity, and all of us live forever, but the best AI models we’ll ever be allowed to use are GPT 5.5 and Claude 4.8.
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Accountability as core in AI deployment beyond basics
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The real shift is moving from just understanding AI basics to embedding accountability into every layer of AI deployment. This means not only transparency but also traceable decision-making processes. It's about transforming accountability from a checklist item to a core
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AI transforms personalized healthcare at scale
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The true shift isn't just in early detection, but in how AI can scale personalized treatment plans across healthcare systems. This scale-up is where AI's impact will be most transformative.
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Gary Marcus warns hyperscaling is a financial blunder for AI
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“Scale cannot solve AI’s fundamental problem with accuracy” If my argument @financialtimes
, excerpted below, is remotely correct, hyperscaling will prove to be among the biggest financial blunders in history. We must seek alternative foundations for AI. -
Gary Marcus: AI scaling is capital misallocation, but early days
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“Gary Marcus … says that investments into scaling AI is the “greatest capital misallocation in history” which leaves everyone “on the hook”. However, he also says that it is still early days for the AI industry and further exploration into different model architectures and the
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Use private AI to speak candidly as safely as thinking
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been doing this the last few weeks but highly recommend doing it locally or with a privacy preserving service like tinfoil or venice, for the sake of others in your logs and also because most people don’t speak candidly to claude. talking to a private ai feels as safe as thinking
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US blocking model releases forces labs to keep models and integrate
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The logical (and unfortunate) consequence of the US government blocking model releases is that the labs would have to keep the best models to themselves and vertically integrate into intelligence heavy industries to generate revenue
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Scale cannot solve AI’s fundamental accuracy problem
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source: “How much compute does the world really need? Scale cannot solve AI’s fundamental problem with accuracy”