Computer Science

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April 10, 2026

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April 10, 2026

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"Even if conflicts like this don’t impede the advance of A.I., it might be stymied in other ways. At the end of May, several A.I. researchers collaborated on a paper that examined whether new A.I. systems could be developed from knowledge generated by existing A.I. models, rather than by human-generated databases. They discovered a systemic breakdown — a failure they called “model collapse.” The authors saw that using data from an A.I. to train new versions of A.I.s leads to chaos. Synthetic data, they wrote, ends up “polluting the training set of the next generation of models; being trained on polluted data, they then misperceive reality.” The lesson here is that it will prove challenging to build new models from old models. And with chat-bots, Ilia Shumailov, an Oxford University researcher and the paper’s primary author, told me, the downward spiral looks similar. Without human data to train on, Shumailov said, “your language model starts being completely oblivious to what you ask it to solve, and it starts just talking in circles about whatever it wants, as if it went into this madman mode.” Wouldn’t a plug-in from, say, Wikipedia, avert that problem, I asked? It could, Shumailov said. But if in the future Wikipedia were to become clogged with articles generated by A.I., the same cycle — essentially, the computer feeding on content it created itself — would be perpetuated."

- Artificial intelligence

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"As difficult as the pursuit of truth can be for Wikipedians, though, it seems significantly harder for A.I. chatbots. ChatGPT has become infamous for generating fictional data points or false citations known as “hallucinations”; perhaps more insidious is the tendency of bots to oversimplify complex issues, like the origins of the Ukraine-Russia war, for example. One worry about generative A.I. at Wikipedia — whose articles on medical diagnoses and treatments are heavily visited — is related to health information. A summary of the March conference call captures the issue: “We’re putting people’s lives in the hands of this technology — e.g. people might ask this technology for medical advice, it may be wrong and people will die.” This apprehension extends not just to chatbots but also to new search engines connected to A.I. technologies. In April, a team of Stanford University scientists evaluated four engines powered by A.I. — Bing Chat, NeevaAI, perplexity.ai and YouChat — and found that only about half of the sentences generated by the search engines in response to a query could be fully supported by factual citations. “We believe that these results are concerningly low for systems that may serve as a primary tool for information-seeking users,” the researchers concluded, “especially given their facade of trustworthiness.”"

- Artificial intelligence

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"What makes the goal of accuracy so vexing for chatbots is that they operate probabilistically when choosing the next word in a sentence; they aren’t trying to find the light of truth in a murky world. “These models are built to generate text that sounds like what a person would say — that’s the key thing,” Jesse Dodge says. “So they’re definitely not built to be truthful.” I asked Margaret Mitchell, a computer scientist who studied the ethics of A.I. at Google, whether factuality should have been a more fundamental priority for A.I. Mitchell, who has said she was fired from the company for criticizing how it treated colleagues working on bias in A.I. (Google says she was fired for violating the company’s security policies), said that most would find that logical. “This common-sense thing — ‘Shouldn’t we work on making it factual if we’re putting it forward for fact-based applications?’ — well, I think for most people who are not in tech, it’s like, ‘Why is this even a question?’” But, Mitchell said, the priorities at the big companies, now in frenzied competition with one another, are concerned with introducing A.I. products rather than reliability. The road ahead will almost certainly lead to improvements. Mitchell, who now works as the chief ethics scientist at the A.I. company Hugging Face, told me that she foresees A.I. companies’ making gains in accuracy and reducing biased answers by using better data. “The state of the art until now has just been a laissez-faire data approach,” she said. “You just throw everything in, and you’re operating with a mind-set where the more data you have, the more accurate your system will be, as opposed to the higher quality of data you have, the more accurate your system will be.” Jesse Dodge, for his part, points to an idea known as “retrieval,” whereby a chatbot will essentially consult a high-quality source on the web to fact-check an answer in real time. It would even cite precise links, as some A.I.-powered search engines now do. “Without that retrieval element,” Dodge says, “I don’t think there’s a way to solve the hallucination problem.” Otherwise, he says, he doubts that a chatbot answer can gain factual parity with Wikipedia or the Encyclopaedia Britannica."

- Artificial intelligence

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"Since the 1960s, Japan has produced a considerable number of cyborg narratives in manga and anime, particularly in works targeting male children and adolescents. From early manga examples such as Kazumasa Hirai and Hiro Kuwata's 8 Man and Shotaro Ishinomori's Cyborg 009, and their subsequent anime versions, the protagonist is commonly cyborged against their will or desires. This positions them as victims, regardless of how physically powerful they are. Their sense of inferiority and vulnerability usually underpins these narratives, either subtly or explicitly. The depiction of female cyborgs adds complexity to the positioning of cyborgs in manga and anime, especially in terms of gender. Female cyborgs may be equipped with remarkable physical strength, combined with voluptuous, eroticized bodies (for instance Major Motoko Kusanagi in Masamune Shirow's original manga and Mamoru Oshii's anime version of Ghost in the Shell); and these powerful female cyborgs are also frequently ascribed roles as protectors or supporters of incompetent and insecure male protagonists. Although some female cyborgs may possess characteristics that indicate a transgression of the conventional boundaries of gender, this transgression is often limited and undermined by other elements of their depiction. As Kumiko Sato points out in her essay "How Information Technology Has "Not, Changed Feminism and Japanism", "female cyborgs and androids have been domesticated and fetishized into maternal and sexual protectors of the male hero" and thus "their functions is usually reduced to either a maid or a goddess obediantly serving her beloved male master, the sole reason for her militant nature.""

- Cybernetics

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"From the start, the cyborg was more than just another technical project; it was a kind of scientific and military daydream. The possibility of escaping its annoying bodily limitations led a generation that grew up on Superman and Captain America to throw the full weight of its grown-up R&D budget into achieving a real-life superpower. By the mid-1960s, cyborgs were big business, with millions of US Air Force dollars finding their way into projects to build exoskeletons, master-slave robot arms, biofeedback devices, and expert systems. For all the big bucks and high seriousness, the prevailing impression left by old cyborg technical papers is of a rather expensive kind of science fiction. Time and again, scientific reasoning melts into metaphysical speculation about evolution, human boundaries, and even the possibility of what Clynes and Kline call "a new and larger dimension for man's spirit." The cyborg was always as much a creature of scientific imagination as of scientific fact. It wasn't only the military that was captivated by the possibilities of the cyborg. The dream of improving human capabilities through selective breeding had long been a staple of the darker side of Western medical literature. Now there was the possibility of making better humans by augmenting them with artificial devices. Insulin drips had been used to regulate the metabolisms of diabetics since the 1920s. A heart-lung machine was used to control the blood circulation of an 18-year-old girl during an operation in 1953. A 43-year-old man received the first heart pacemaker implant in 1958. By the 1970s, the idea of an augmented human had entered the mainstream. Steve Austin, The Six Million Dollar Man, and his cohort Jaime Sommers, The Bionic Woman (with bionic limbs and a super-sensitive bionic ear), were popular heroes, their custom superpowers bought off the shelf like a digital watch. The cyborg had grown from a lecture-room fantasy into the stuff of prime-time TV."

- Cybernetics

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