Yossi Hoffman

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Animorphs: The Re...
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by TK17
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“(Hofstadter adds that a dearly loved person can still exist after bodily death. The self of the "lost" person, previously fully instantiated in their brain, is now instantiated at a less fine-grained level in the brains of the loving survivor/s. He insists that this isn't merely a matter of "living on" in someone's memory, or of the survivor's having adopted some of the other's characteristics, e.g. a passion for opera. Rather, the two pre-death selves had interpenetrated each other's mental lives and personal ideals so deeply that each can literally live on in the other. Through her widower, a dead mother can even consciously experience her children's growing up. This counter-intuitive claim posits something similar to personal immortality—although when all the survivors themselves have died, the lost self is no longer instantiated. Lasting personal immortality, in computers, is foreseen by the "transhumanist" philosophers: see Chapter 7.)”
Margaret A. Boden, AI: Its Nature and Future

Sayash Kapoor
“... for the longest time, we have used the form of a piece of content to determine whether it is legitimate and credible, but that proxy is no longer available to us.”
Sayash Kapoor, AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

Arvind Narayanan
“While generative Al is modestly but meaningfully useful for a large number of people, it is more profoundly significant for some. An app called Be My Eyes connects blind people to volunteers who assist them in moments of need. The app records the user's surroundings through the phone camera, and the volunteer describes it to them. Be My Eyes has added a virtual assistant option that uses a version of ChatGPT that can describe images. Of course, ChatGPT isn't as helpful as a person, but it is always available, unlike human volunteers.”
Arvind Narayanan, AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

Arvind Narayanan
“Another myth is that tech regulation is hopeless because policymakers don't understand technology. In reality, policymakers aren't experts in any of the domains they legislate. They don't have degrees in civil engineering, yet we have construction codes that help ensure that our buildings are safe. The fact is that policymakers don't need domain expertise. They delegate all the details to experts who work at various levels of government and in various branches. The two of us have been fortunate enough to consult with many of these experts, and they tend to be extremely competent and dedicated. Unfortunately, there are too few of them, and the understaffing of tech experts in government is a real problem. But the idea that heads of state or legislators need to understand technology in order to do a good job is utterly without merit and reveals a basic misunderstanding of how governments work.”
Arvind Narayanan, AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

Arvind Narayanan
“The surprising thing is not that chatbots sometimes generate nonsense but that they answer correctly so often.”
Arvind Narayanan, AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

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