John Healy's Tech Blog

Tag: AI

  • In AI chatbots we trust – too much

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    Does trust require truth? Facts? With explanations of the speaker’s reasoning & sources? Or just because “(A)I said it’s so” – authoritatively. So, what could go [1] … hardly anyone understands how their smartphone works … (as well as most electronics, eh). Nothing new there for technology … yet, nobody likes to be conned, fooled … but is resistance futile with AI? [2] I’m reminded of…

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  • Breaking bottom of career ladder – AI transformation

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    So, the CEO of Anthropic (“one of the world’s most powerful creators of artificial intelligence”) says we need to “get real” about entry-level white-collar jobs in the next few years. Pay attention! “Eyes open” to the coming job displacement. This Axios article (much in the news cycle this past week) heralds the challenge which AI poses to the workforce. The need to build awareness, generally…

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  • When AI grows up – no longer ‘really cute tiger cub’

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    Geoffrey Hinton on the future of AI So, after watching the video interview with the ‘Godfather of AI’ (CBS News below), I was struck by something that was assumed or just left implicit. Namely, that AIs (AGIs) will be a monolithic threat (or benefit). Whether globally or at a international corporate or state level. That such super-intelligent machines will share a common purpose or perspective…

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  • Elevating humanity – OpenAI’s narrative for AGI

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    Regarding the timeframe for achieving and qualifying Artificial General Intelligence (AGI), recently (December 4, 2024) on CNBC, Andrew Ross Sorkin interviewed Sam Altman, co-founder and C.E.O. of OpenAI, at the New York Times annual DealBook summit at Jazz at Lincoln Center in New York City. Altman said that quite capable AI agents (able to choreograph complex processes) will become available for businesses in a few…

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  • AI regulation faces a test in California

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    Benefits and costs of the new AI gold rush. Move fast and break things … vying for supremacy (“America’s AI edge,” like another Manhattan Project) … but … who’s a developer, and what are their responsibilities in some type of regulatory framework? Who does AI safety testing? Are there 3rd party evaluations? Certifications? Kill switches? Incident logging and reporting? AI “meltdowns” and lawsuits? Collateral damage…

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