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“Most empirical studies find that AI technology will not reduce overall employment. However, it is likely to reduce the relative amount of income going to low-skilled labour, which will increase inequality across society. Moreover, AI-induced productivity growth would cause employment redistribution and trade restructuring, which would tend to further increase inequality both within countries and between them.” #AI
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“A controversial facial recognition database, used by police departments across the nation, was built in part with 30 billion photos the company scraped from Facebook and other social media users without their permission, the company's CEO recently admitted, creating what critics called a "perpetual police line-up," even for people who haven't done anything wrong.” #AI
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“Note, for all the seemingly sophisticated thought and language, the moral indifference born of unintelligence. Here, ChatGPT exhibits something like the banality of evil: plagiarism and apathy and obviation. It summarizes the standard arguments in the literature by a kind of super-autocomplete, refuses to take a stand on anything, pleads not merely ignorance but lack of intelligence and ultimately offers a “just following orders” defense, shifting responsibility to its creators.” #AI
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“But there was also a surprise. The OpenAI researchers discovered that in making the models bigger, they didn’t just get better at producing text. The models could learn entirely new behaviors simply by being shown new training data. In particular, the researchers discovered that GPT3 could be trained to follow instructions in plain English without having to explicitly design the model that way.” A superb introduction. #AI
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“The implication was clear: that tools like ChatGPT will now allow scofflaws to pollute the internet with near-infinite quantities of bot-generated garbage, and that CNET have now paved the way. In a way, it served as a perfect illustration of a recent warning by Stanford and Georgetown academics that AI tech could rapidly start to fill the internet with endless quantities of misinformation and profiteering.” #AI
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“One Sama worker tasked with reading and labeling text for OpenAI told TIME he suffered from recurring visions after reading a graphic description of a man having sex with a dog in the presence of a young child. “That was torture,” he said. “You will read a number of statements like that all through the week. By the time it gets to Friday, you are disturbed from thinking through that picture.”” #AI
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“ChatGPT has no inner being, it has been nowhere, it has endured nothing, it has not had the audacity to reach beyond its limitations, and hence it doesn’t have the capacity for a shared transcendent experience, as it has no limitations from which to transcend. ChatGPT’s melancholy role is that it is destined to imitate and can never have an authentic human experience, no matter how devalued and inconsequential the human experience may in time become.” #AI
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“Audiobooks narrated by a text-to-speech AI are now available via Apple’s Books service, in a move with potentially huge implications for the multi-billion dollar audiobook industry. Apple describes the new “digital narration” feature on its website as making “the creation of audiobooks more accessible to all,” by reducing “the cost and complexity” of producing them for authors and publishers.” Speaking as a frequent audiobook listener: do not want. #AI
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“There were clear physical differences between Reid and the perpetrator in the surveillance footage, said Reid’s attorney. For example, there was a 40-pound difference in body weight and Reid had a mole on his face. […] Researchers have long noted racial biases in specific facial recognition software, and we’ve seen this play out in wrongful arrests, like those of Nijeer Parks, Robert Williams, and Michael Oliver—all Black men.“ #AI
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“Hard exiting out of this cycle requires coming up with unquestionably original thoughts and theories. It means seeing and synthesising patterns across a broad range of sources: books, blogs, cultural narratives served up by media outlets, conversations, podcasts, lived experiences, and market trends. We can observe and analyse a much fuller range of inputs than bots and generative models can.” #AI
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“I am writing this blog post as a public record of this incredibly impressive (and a little scary) capability. I know I just posted yesterday, but I am so blown away that I had to write this down while it was still fresh in my mind. Congratulations OpenAI. This is truly revolutionary.” Mind-blowing. #AI
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“Because the language model underpinning Wordcraft is trained on a large amount of internet data, standard archetypes and tropes are likely more heavily represented and therefore much more likely to be generated. Allison Parrish described this as AI being inherently conservative. Because the training data is captured at a particular moment in time, and trained on language scraped from the internet, these models have a static representation of the world and no innate capacity to progress past the data’s biases, blind spots, and shortcomings.” #AI
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Werd I/O © Ben Werdmuller. The text (without images) of this site is licensed under CC BY-NC-SA 4.0.