AI Dynamics

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  • James Cameron: Big Tech AGI Control Scarier Than Terminator

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    @garymarcus

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    Director James Cameron on why Big Tech owning AGI is scarier than any science fiction he's ever made: "AGI will not emerge from a government funded program. It will emerge from one of the tech giants currently funding this multi-billion dollar research." And when that happens, he warns, you won't get a vote on it: "So then you'll be living in a world that you didn't agree to, didn't vote for, that you are co-inhabiting with a super intelligent alien species that answers to the goals and rules of a corporation." A corporation that already knows everything about you: "An entity which has access to the comms, beliefs, everything you ever said, and the whereabouts of every person in the country via your personal data." From there, the slide toward something far darker is shorter than most people think: "Surveillance capitalism can toggle pretty quickly into digital totalitarianism." And even the best-case outcome isn't reassuring. Tech giants becoming the self-appointed arbiters of human good is, as he puts it, the fox guarding the hen house. He's not buying the idea that these companies would stay benevolent with that kind of power: "They would never ever think of using that power against us and strip mining us for our last drop of cash." The sarcasm is the point. Cameron has spent four decades imagining worst-case futures on screen. His verdict on this one: "That's a scarier scenario than what I presented in the Terminator 40 years ago, if for no other reason than it's no longer science fiction."

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  • AI Risk Without AGI: Harms From Current LLM Systems

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    @garymarcus

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    🤯 AI doesn’t need to be AGI to cause harm! 🤯 ChatGPT can’t reliably run a timer but it has still been implicated in delusions, suicides, cognitive surrender, mass disinformation, and so much more. A system doesn’t have to be AGI to carry risks. Mythos probably isn’t AGI either (nothing’s really been released), but it clearly can be used as a cyberattacking tool etc* *the commenter below also misunderstands my views. I don’t think pure LLMs will ever be AGI but some approach will be eventually. (And I have always been clear about). (Also hardly anyone is using pure LLMs anymore; almost everyone has quietly moved to what I long urged: neurosymbolic AI, in which symbolic tools complement the weakness of pure LLMs, quietly vindicating what I have argued for 30 years.) Kudo (@CryptoC58828499) Please. If AI isn’t going to AGI (as you claim), then stop the damn fear mongering. — https://nitter.net/CryptoC58828499/status/2041898327965626458#m

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  • Mythos AI Model: Restraint vs Competition in Dangerous Tech Release

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    @garymarcus

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    The scariest part of this is that Anthropic showed some restraint in not releasing a potentially dangerous technology but some of their competitors (such as OpenAI and xAI) might well not. Whether Mythos is as scary as it sounds or not, the reality is that without government regulation on releases, we are well and truly fucked. Jim VandeHei (@JimVandeHei) This is the scary phase of AI — a model deemed so powerful that its full release into the wild could unleash untold catastrophe. 🚨Based on our conversations with government and private-sector officials briefed on Mythos, this isn't hyperbole. It's reality. axios.com/2026/04/08/anthrop… — https://nitter.net/JimVandeHei/status/2041817666881503351#m

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  • LLMs Cannot Learn Temporal Reasoning Due Architectural Limitations

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    @garymarcus

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    To anyone who read Rebooting AI back in (checks notes) 2019, this is both hilarious and unsuprising. The field has wasted 7 years on an architecture that can’t solve one of the most basic litmus tests Davis and I discussed then: temporal reasoning. Lavanya (@naynaval) LLMs cannot be taught temporal context due to the way they are architected. How do you teach temporal understanding to probabilistic models hosted across distributed data centers?? 🤷🏻‍♀️ — https://nitter.net/naynaval/status/2041754297491398794#m

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  • LLMs Generating Misleading Content for Social Media Engagement
    LLMs Generating Misleading Content for Social Media Engagement

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    @garymarcus

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    “Social media algs reward engagement, and LLMs are excellent at writing in different styles, so people use LLMs to translate posts and news stories into [exaggerated, misleading] versions that get more engagement” I see a ton of that here. not good.

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  • Voice ChatGPT Limitations and the Path to AGI
    Voice ChatGPT Limitations and the Path to AGI

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    @garymarcus

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    Voice ChatGPT can’t start a timer, but AGI is imminent!

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  • New York Times Coverage of $1.8B AI Healthcare Company Questioned

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    @garymarcus

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    More on the @nytimes piece about that $1.8B, two-person, AI company … not the paper's finest moment in quick retrospect. And in the healthcare context no less. Our friend @GaryMarcus was on this a few days ago as well. futurism.com/artificial-inte…

    → View original post on X — @garymarcus, 2026-04-07 20:05 UTC

  • Legal Framework and Ethical Standards in AI Development

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    @garymarcus

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    reference? which law? also whatever happened to taking the moral high ground?

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  • Domain-Specific AI Versus General-Purpose Chatbots Debate

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    @garymarcus

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    perhaps we should compare calculators to humans? also, if you actually follow my work (eg October 2025 NYT oped) you will know I am a fan of domain specific AI (like Waymo) and skeptical of domain-general AI (like chatbots), so I appreciate your making my case for me.

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  • Generative AI: 90% Accuracy, 10% Unacceptable Errors
    Generative AI: 90% Accuracy, 10% Unacceptable Errors

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    @garymarcus

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    Imagine if your car randomly went out of control 10% of the time. That's commercial-grade generative AI web search. rat king 🐀 (@MikeIsaac) glass half full: 90 percent accuracy is an impressive accuracy rate glass half empty: 10 percent error rate for a company that does more than 5 Trillion search queries per year is still a gigantic number nytimes.com/2026/04/07/techn… — https://nitter.net/MikeIsaac/status/2041535422623609174#m [Translated from EN to English]

    → View original post on X — @garymarcus, 2026-04-07 16:16 UTC