Researchers could end up being constrained by the limits of what AI can do, cut off from what it can’t do, and possibly unaware of the embedded viewpoint.
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Such a position is not something the materialist derives from the evidence; it is imposed by the ideology.
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Even if it were possible that AI reaches consciousness — it will never have the mind of Christ.
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Larson tells his EP podcast host that the real danger is that powerful AI in the hands of bad actors could bring down banking systems and cripple grids.
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The hallucinations are symptomatic of generative AI models’ core problem: they can’t identify output problems because they know nothing about the real world.
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Ewert predicts that, while humans will get better at building artificial intelligence systems, we will never be able to match ourselves.
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For example, journalist Matt Taibbi was stunned to learn from Gemini that he’d written controversial stories — that don’t exist. What’s the market for libel?
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Walter Kirn tweeted recently: “Gemini AI is inventing damaging stories about people and figures I know. It is an automated false-witness weapon.”
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He notes, “ AI … has no sense of the bigger picture, of other values, or of the way in which context—or even scale and extent—changes everything.”
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Technologies that have surfed the hype curve include superconductivity, the Segway, cold fusion, information theory, Theranos, Piltdown man and string theory.
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Frank, fellow physicist Marcelo Gleiser, and philosopher Evan Thompson argue in a new book that ignoring explicitly human experience is a blind spot for science
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In yesterday’s post, I talked about the fact that AI’s don’t understand the work they’re doing. That makes the goal — to make them think like people — elusive. This brings us to the second problem, which ended up spawning an entire field, known as “Explainable AI.” Neural networks not only don’t know what they’re doing when they do it, they can’t in general explain to their designers or users why they made such-and-such a decision. They’re a black box; in other words, they are obstinately opaque to any attempts at a conceptual understanding of their decisions or inferences. How does that play out? It means, for example, that, with image recognition tasks like facial recognition, the network can’t explain Read More ›
The AI scientist’s dream of general intelligence, often referred to as Artificial General Intelligence (AGI), remains as elusive as ever.
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Ironically, AI, far from making study of the classics obsolete, may help create new opportunities for classics scholars, via recovered texts.
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To whatever extent digital information is a form of wealth, its digital producers must always fight counterfeiters — just as currency issuers must do.
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At one point, Southeast Asian ants invaded the sealed Biosphere II project in Arizona (intended for space exploration studies), using it as a honeydew farm.
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Recent studies indicate that members of Gen Z are dividing politically according to sex, with men leaning more conservative and women going more liberal.
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The call to stay human isn’t just in retaliation to AI. It is more an attempt to say “no” to instant gratification.
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As the technology advances, companies whose customers will likely be harmed by deepfakes lag behind in strategies to counter them.
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The country-turned-pop star Taylor Swift has commanded headlines for well over a year now with her record-breaking “Eras Tour” as well as her romance with Kansas City Chiefs tight-end Travis Kelce. Unfortunately, her image has also made the rounds in AI engines. Deepfake pornography is already an emerging problem, but its seriousness resurfaced when explicit, AI-generated images of Taylor Swift went viral in late January. Only ten states currently have laws prohibiting deepfake pornography, but legislation is underway to ban it in several others, including Swift’s home state, Tennessee. According to attorney Carrie Goldberg, if Swift were to sue anyone, it would probably have to be focused on the AI companies themselves. USA Today reports, It’s possible that the faked Read More ›