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ChatGPT Is a Blurry JPEG of the Web
ChatGPT Is a Blurry JPEG of the Web
OpenAI’s chatbot offers paraphrases, whereas Google offers quotes. Which do we prefer?
·newyorker.com·
ChatGPT Is a Blurry JPEG of the Web
The Banality of Online Recommendation Culture
The Banality of Online Recommendation Culture
A recent surge of human-curated guidance is both a reaction against and an extension of the tyranny of algorithmic recommendations.
·newyorker.com·
The Banality of Online Recommendation Culture
The “Godfather of AI” Predicted I Wouldn’t Have a Job. He Was Wrong.
The “Godfather of AI” Predicted I Wouldn’t Have a Job. He Was Wrong.
Nobel Prize winner Geoffrey Hinton said that machine learning would outperform radiologists within five years. That was eight years ago. Now, thanks in part to doomers, we’re facing a historic labor shortage.
·newrepublic.com·
The “Godfather of AI” Predicted I Wouldn’t Have a Job. He Was Wrong.
felix stalder (@festal@tldr.nettime.org)
felix stalder (@festal@tldr.nettime.org)
Fascinating article about the as yet unpredictable changes AI brings to complex knowledge work. Here the case of radiology. The early predictions of displacement of humans by machines have not come to pass (though, as always, they have simply been pushed into the future). For me, this is the most interesting part, and one that I think applies quite generally. "Still, I have reservations about AI in radiology, particularly when it comes to education. One of the main promises of AI is that it will handle the “easy” scans, freeing radiologists to concentrate on the “harder” stuff. I bristle at this forecast, since the “easy” cases are only so after we read thousands of them during our training—and for me they’re still not so easy! The only reason my mentors are able to interpret more advanced imaging is that they have an immense grounding in these fundamentals." If you automate the easy stuff, it's much harder to gain experience necessary to do the harder stuff, This applies to any craft and all creative/knowledge work as an important element of craft to it. https://newrepublic.com/article/187203/ai-radiology-geoffrey-hinton-nobel-prediction
·tldr.nettime.org·
felix stalder (@festal@tldr.nettime.org)
DAIR (Distributed AI Research Institute)
DAIR (Distributed AI Research Institute)
The Distributed AI Research Institute is a space for independent, community-rooted AI research, free from Big Tech’s pervasive influence.
·dair-institute.org·
DAIR (Distributed AI Research Institute)
Crip-Int
Crip-Int
·cripint.art·
Crip-Int
John Carlos Baez (@johncarlosbaez@mathstodon.xyz)
John Carlos Baez (@johncarlosbaez@mathstodon.xyz)
Bifogad: 1 bild 𝗤𝗨𝗜𝗖𝗞! 𝗙𝗘𝗘𝗗 𝗧𝗛𝗘 𝗕𝗘𝗔𝗦𝗧! Academic publisher Taylor & Francis recently sold many of its authors’ works to Microsoft for $10 million, without asking or paying the authors — to train Microsoft’s large language models! Taylor & Francis asked their journal "Learning, Media and Technology" to cut peer review time to 15 days — absurdly little time — to crank out more content. And Taylor & Francis's subsidiary Routledge told staff that it was “extra important” to meet publishing targets for 2024. It moved some book deadlines from 2025 to 2024. Why? To meet its deadline with Microsoft. Another academic publisher, Wiley, made a $44 million deal to feed academic books to LLMs — with no way for authors to opt out. They say “it is in the public interest for these emerging technologies to be trained on high-quality, reliable information.” When you publish with one of the big academic publishers, they try to make you sign a contract saying they can do whatever they want with your work. That means anything. Hat-tip to @bstacey@icosahedron.website for pointing this out. These articles have links to original sources: https://pivot-to-ai.com/2024/08/04/more-academic-publishers-are-doing-ai-deals/ https://pivot-to-ai.com/2024/09/28/routledge-nags-academics-to-finish-books-asap-to-feed-microsofts-ai/
·mathstodon.xyz·
John Carlos Baez (@johncarlosbaez@mathstodon.xyz)
AI Image Statistics: How Much Content Was Created by AI
AI Image Statistics: How Much Content Was Created by AI
Discover AI image statistics: the total number of AI images, the number of images created with Stable Diffusion, Adobe Firefly, Midjourney, DALL-E 2, and more.
·journal.everypixel.com·
AI Image Statistics: How Much Content Was Created by AI
The Intelligence Age
The Intelligence Age
In the next couple of decades, we will be able to do things that would have seemed like magic to our grandparents.
·ia.samaltman.com·
The Intelligence Age
Cyberwitches Manifesto
Cyberwitches Manifesto
Cyberwitches Manifesto | Le Manifeste des Cybersorcières | Lucile Olympe Haute
·lucilehaute.fr·
Cyberwitches Manifesto
Intertwined Feedback Loops
Intertwined Feedback Loops
A series of intertwined feedback loops that unfold from several interrelated briefs, which are designed to facilitate intellectual and practical exploration.
·algorithmic-sabotage.github.io·
Intertwined Feedback Loops
“Google is serving AI-generated images of mushrooms when use...
“Google is serving AI-generated images of mushrooms when use...
“Google is serving AI-generated images of mushrooms when users search for some species, a risky and potentially fatal error for foragers who are trying to figure out what mushrooms are safe to eat.” JFC.
·kottke.org·
“Google is serving AI-generated images of mushrooms when use...
Who's Afraid of the Large Language Model? - Public Seminar
Who's Afraid of the Large Language Model? - Public Seminar
Whether as a tool for human poets or as a poetic agenda of its own, language models might embody to the truest extent the collision of computer revolution and ancient poiesis.
·publicseminar.org·
Who's Afraid of the Large Language Model? - Public Seminar
Roland Meyer (@bildoperationen@tldr.nettime.org)
Roland Meyer (@bildoperationen@tldr.nettime.org)
Bifogad: 1 bild · Innehållsvarning: AI video models; dreamworlds of platform capitalism
AI video models; dreamworlds of platform capitalism Visa mindreThe world made visible through AI video synthesis models such as Sora, Runway, or Luma Dream Machine is a strange place. It is a world in which cause and effect seem largely decoupled, actions seem to have little or no material consequences, and bodies glide through sand and snow without ever leaving a trace. It is a world where no substantial action, let alone physical labor or material production, seems possible. Although these models allow us to extend and expand each video clip almost endlessly, stretching time and adding more and more visual content, the result is never a narrative sequence of events, just a continuous flow of images. And while what has taken the position of the (virtual) camera appears to be in constant motion, the spaces it traverses do not exist before becoming an image. They have no substance, no gravity, and no three-dimensionality, not even a virtual or simulated one. Any spatial continuum you see unfolds only in time, and any physical coherence of these worlds is only an effect of temporal continuity.What these AI-generated clips show, then, are dream worlds of platform capitalism: worlds made up of endless flows of visual patterns feeding back on themselves, worlds that seem infinitely scalable and expandable without physical limits or consequences, worlds in which objects, bodies, and spaces appear out of nowhere and dissolve without a trace, worlds in which time can be stretched, looped and manipulated at will without anything ever happening: flat worlds of an eternal present. But of course, actions in the real world do have material consequences, starting with the enormous exploitation of natural resources and human labor involved in the development, training, and alignment of these AI models. Far from being able to simulate the physical world, as some of its proponents claim, AI video synthesis is designed to make it invisible.
·tldr.nettime.org·
Roland Meyer (@bildoperationen@tldr.nettime.org)