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    Thursday, December 25
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    Home»Big Tech & AI»Anthropic Co-Founder Says Time and Curiosity Are Becoming the True Constraints of AI

    Anthropic Co-Founder Says Time and Curiosity Are Becoming the True Constraints of AI

    By Henry KanapiDecember 25, 20252 Mins Read
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    Jack Clark says the biggest limitation on benefiting from modern artificial intelligence is no longer the technology itself, but whether people have the time, curiosity and access needed to meaningfully engage with it.

    In a new post on X, the Anthropic co-founder says today’s AI systems are already astonishingly capable, but most of those advances remain invisible to the majority of users.

    “If you have a bit of intellectual curiosity and some time, you can very quickly shock yourself with how amazingly capable modern AI systems are.”

    He says without that combination, people tend to experience AI only in shallow, passive ways that obscure how much progress is actually happening.

    “But you need to have that magic combination of time and curiosity, and otherwise you’re going to consume AI like most people do – as a passive viewer of some unremarkable synthetic slop content.”

    According to Clark, the issue goes far beyond interface design and cannot be solved simply by better chat tools or user experiences.

    “The challenge here isn’t solely solved with interface designs, though there is a rich space to be explored here beyond the standard chat interfaces.”

    He describes the real bottleneck as a narrowing funnel shaped by human factors rather than technical ones.

    “The challenge here is deeper, and it relates to how much curiosity an individual person has, how easily and affordably they can access powerful AI systems, how well they’re able to convert their curiosity into questions or tasks that can be given to an AI system, and how much time they have available to experiment with working in this way. This is the end of quite a deep funnel, and one which narrows a lot.”

    Looking ahead, Clark warns that the divide between those who actively work with frontier AI systems and those who do not will become increasingly stark.

    “This problem will worsen in 2026. By the summer, I expect that many people who work with frontier AI systems will feel as though they live in a parallel world to people who don’t.”

    He closes by framing the moment as one that demands deliberate engagement rather than passive consumption.

    “It is incumbent on all of us to attempt to see this high-dimensional object for what it is.”

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