Firstly – the spinout product is broken. TTOs point to rising numbers of spinouts and growth in investment, but if our unis are the ‘crown jewels’ of UK science and tech, they should have been leading the UK tech boom, not lagging it:
@nathanbenaich
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UK university research commercialisation model needs IP ownership reform
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Why is the UK’s model of commercialising university research broken? A great report by @eamonninves, @antonhowes
, @Sam_Dumitriu of @TenThinkTank shows how giving inventors ownership of their IP and breaking up the tech transfer office monopoly is the path that policymakers -
Regulation Debate: AI Safety Risks Versus Innovation Benefits
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Yeah, right now it’s:
– regulate because we’re gonna risk killing ourselves – don’t regulate because the benefits are too great -
Rational Agent Assumptions in AI Systems and Free Lunch Problems
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would be amazing – but sounds like a free lunch that assumes everyone acts rationally
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Incumbents Demanding Regulation for Competitive Advantage
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“The Long, LONG History of Incumbents Demanding They Be Regulated… History is littered with examples of large incumbent firms begging to be regulated not for the public interest but for their own:”
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iPad and no Excel: The sell-side banker’s digital dilemma
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equivalent of the sell side banker MD showing up to work with an iPad and no excel installed.
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Why Transformative Artificial Intelligence Remains Extremely Difficult
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https://
thegradient.pub/why-transforma
tive-artificial-intelligence-is-really-really-hard-to-achieve/
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Why Transformative AI Remains Hard to Achieve
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In this essay, @arjun_ramani3 and @zhengdongwang assemble the best arguments that they have encountered for why transformative AI is hard to achieve… 1) The transformational potential of AI is constrained by its hardest problems 2) Despite rapid progress in some AI
