#snakeoil — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #snakeoil, aggregated by home.social.
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🗂️ Ah, behold the latest act of digital origami! Finally, your #MacBook can ⛷️ #ski-slide its way to relevance with a fold as useful as a third sock. So, dear reader, rush to the repo for a slice of #nostalgia wrapped in modern-day snake oil - because who doesn't want a feature that offers zero utility? 🙄
https://lufzle.dev/foldelight/ #digitalorigami #zeroutility #snakeoil #HackerNews #ngated -
@wdormann I've cloned it to Codeberg before it get DCMA'd . Do not use a Microsoft GitHub Platform when you know you could be silenced by Microsoft 🤨
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"Anyone teaching about AI has some excellent material to work with in this book. There are chewy examples for a classroom discussion such as ‘Why did the Fragile Families Challenge End in Disappointment?’; and multiple sections in the chapter ‘the long road to generative AI’. In addition the Substack newsletter that this book was written through offers a section called ‘Book Exercises’. Interestingly, some parts of this book were developed by Narayanan developing classes in partnership Princeton quantitative sociologist, Matt Salganik. As Narayanan writes, nothing makes you learn and understand something as much as teaching it to others does. I hope they write about collaborating across disciplinary lines, which remains a challenge for many of us working on AI."
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"Narayanan and Kapoor, both Princeton University computer scientists, argue that if we knew what types of AI do and don’t exist—as well as what they can and can’t do—then we’d be that much better at spotting bullshit and unlocking the transformative potential of genuine innovations. Right now, we are surrounded by “AI snake oil” or “AI that does not and cannot work as advertised,” and it is making it impossible to distinguish between hype, hysteria, ad copy, scam, or market consolidation. “Since AI refers to a vast array of technologies and applications,” Narayanan and Kapoor explain, “most people cannot yet fluently distinguish which types of AI are actually capable of functioning as promised and which types are simply snake oil.”
Narayanan and Kapoor’s efforts are clarifying, as are their attempts to deflate hype. They demystify the technical details behind what we call AI with ease, cutting against the deluge of corporate marketing from this sector. And yet, their goal of separating AI snake oil from AI that they consider promising, even idealistic, means that they don’t engage with some of the greatest problems this technology poses. To understand AI and the ways it might reshape society, we need to understand not just how and when it works, but who controls it and to what ends."
https://newrepublic.com/article/188313/artifical-intelligence-scams-propaganda-deceit
#AI #PredictiveAI #SiliconValley #SnakeOil #Scams #Propaganda #AIHype #AIBubble #PoliticalEconomy