Interesting article about what AI is really all about: https://lnkd.in/e9CKhDHJ It looks like it's going to be in German but it's not - the article text is in English. #AI
Patrick Leavy’s Post
More Relevant Posts
-
Meredith Whittaker on AI "AI is a marketing term, not a technical term of art. The term “artificial intelligence” was coined in 1956 by cognitive and computer scientist John McCarthy – about a decade after the first proto-neural network architectures were created. In subsequent interviews McCarthy is very clear about why he invented the term. First, he didn’t want to include the mathematician and philosopher Norbert Wiener in a workshop he was hosting that summer. You see, Wiener had already coined the term “cybernetics,” under whose umbrella the field was then organized. McCarthy wanted to create his own field, not to contribute to Norbert’s – which is how you become the “father” instead of a dutiful disciple. This is a familiar dynamic for those of us familiar with “name and claim” academic politics. Secondly, McCarthy wanted grant money. And he thought the phrase “artificial intelligence” was catchy enough to attract such funding from the US government, who at the time was pouring significant resources into technical research in service of post-WWII cold war dominance. Now, in the course of the term’s over 70 year history, “artificial intelligence” has been applied to a vast and heterogeneous array of technologies that bear little resemblance to each other. Today, and throughout, it connotes more aspiration and marketing than coherent technical approach. And its use has gone in and out of fashion, in time with funding prerogatives and the hype-to-disappointment cycle. " https://lnkd.in/e7mZdpga
Die Rede der Zukunftspreisträgerin
helmut-schmidt.de
To view or add a comment, sign in
-
Ray Kurzweil is hoisted up as the preeminent futurist, but his claims crumble under simple scrutiny. Despite this, many continue to gobble up his content, forgetting the sheer number of times he's been wrong in the past. Kurzweil employs tricks in his writing meant to fool the reader. I call out some of these tricks, giving readers more awareness to spot them in the future. As long as tech is allowed to be presented as magic, charlatans and hucksters will run rampant. In my new post, I cover why the Techno Utopia is not near and address the nonsense peddled in Kurzweil's new book The Singularity is Nearer: When We Merge With AI. If you have read or are considering reading this book, have a look at my breakdown here. https://lnkd.in/eqSevgjU
To view or add a comment, sign in
-
Gaudio Lab has once again attended #ICML2024, one of the world's top three machine learning conferences. This year, it was held in #Vienna, Austria. Want to know what’s trending in research from the perspective of an audio AI scientist? .🌞🌡The energy here might just be responsible for this year's heatwave. https://lnkd.in/gqY7YEBN
To view or add a comment, sign in
-
A few days ago, I finished The Supremacy by Palmy Olson, so naturally, the "AI" was on my mind. Maybe the dreams of the Artificial General Intelligence that Hassabis and Altman have yet to come true. But definitely, they moved the concept from pure sci-fi to the edges of possibility. Today, I started The Chip War by Chris Miller, a book that starts with a story of the incredibly rapid development of a transistor, a progress that made the impossible possible within a lifetime. So maybe we just need to give it a few more years? But how good is that intelligence? How dangerous is it? How detrimental is the mental capability offloading to the machine we are playing with? I know, over two millennia ago, Socrates warned about the dangers of writing and how it affects understanding. The topic had a few comebacks since. People have been scared of new technologies before. But maybe there is a difference this time. For the first time we appear to be offloading not only our memory but also our reasoning to the technology. So, with all this on my mind, I went for a short lunch break in the National Gallery in London, and I saw the symbolism of late medieval and early Renaissance paintings. I followed them to the impressionists and their misty dots, and then I saw the three paintings, two by Hackely and the one in the middle by Piero (image by Guy Bell / Shutterstock). There are over 500 years between the pictures, but there is so much intellectual interplay between them. I have seen plenty of AI-generated images. There is nothing vaguely close to this. So perhaps we are safe. But then, I thought, only if enough of us biocomputers, the original Organoid Intelligence (OI), bother to exercise our grey matter in symbolic reasoning. And this is exactly the thinking AI cannot do and the type we try to offload to it. What do you think? Do you think about it? Whatever the answers, I recommend both books and a visit to see Hackely and Piero side by side in person in the A Longer Look exhibition at the National Gallery in London.
To view or add a comment, sign in
-
For those of you who are feeling a bit disoriented by the insanely rapid developments in the field of artificial intelligence, I'd like to invite you to join me in an absurd attempt at charting humanity's pursuit of machine minds. Starting this Sunday, I will be publishing a weekly essay over the next 75 weeks, leading up to the 75th anniversary of Alan Turing's seminal AI paper, "Computing Machinery and Intelligence." My newsletter is called A Short Distance Ahead, in reference to the last sentence of Turing’s paper: "We can only see a short distance ahead, but we can see plenty there that needs to be done." I will capture a yearly snapshot of history with an emphasis on the evolution of AI, offering a unique perspective on the context that shaped AI from Turing's time to today. It is an attempt to look back, as we continue to move forward. It will be informative, a bit weird, and hopefully fun. I'd love to have you join me. As our world continues to spin, 'a short distance ahead,' may these essays provide moments of reflection, curiosity, and perhaps, understanding. I sent out an introductory email to many of you in my network last night, I'm sharing that email with my wider network here. Thanks for your time and attention, and as always, thanks for reading. https://lnkd.in/ekSZRQ3a
To view or add a comment, sign in
-
✅Ray Kurzweil, a famous futurist and scientist, believes that humans can live indefinitely by merging with machines and becoming hyperintelligent. ✅Kurzweil predicts the singularity, a moment when AI surpasses human capabilities, is imminent, contrary to others who saw his timeline as too optimistic in the past. ✅Kurzweil lays out his vision of the future where our minds merge with the cloud, allowing us to live for centuries and have new experiences unimaginable today. ✅Kurzweil explores views on issues like the preservation of human identity, the potential for AI to write novels, and the philosophical questions around machine consciousness. ✅Kurzweil remains highly optimistic about humanity's ability to overcome challenges like resource depletion and environmental destruction through technological progress, though the interviewer expresses more skepticism. ✅Kurzweil discusses his work at Google developing large language models and AI systems, as well as his long-standing intellectual sparring with figures like Daniel Kahneman over the societal impacts of the singularity. ✅Kurzweil personal efforts to extend his own longevity through extensive medication and his belief that there is no upper bound to human lifespan once the singularity is achieved.
If Ray Kurzweil Is Right (Again), You’ll Meet His Immortal Soul in the Cloud
wired.com
To view or add a comment, sign in
-
I wrote two articles on this topic, and Jon brings up an entirely new aspect of AI and archives: Digital Curation and Archives. #genai #aiarchives #aieducation #digitalarchives #archives
The advent of generative AI could transform the role of the archive into something dramatically different than it was just two years ago. We're used to thinking of archives as endpoints of a cultural artifact. A photograph is shot with a camera and then digitized, or born digital when snapped with someone's phone; then circulates through the Internet via Instagram or Flickr; if deemed sufficiently notable to preserve for the future, the image might make it way into an archive or museum. There conservators ingest it into a database for preservation system as part of the historical record. As Eryk Salvaggio points out, generative AI is like an archive in reverse. Whether trained on a highly curated photo collection or the billion web pages of the "common crawl," large language models start by atomizing content in the archive and then compressing it into an engine that can produce new artifacts derived from that original content. In the extreme case, I wonder whether this paradigm shift could make coming into contact with actual human-generated artifacts less likely for the average person. If you need a photo for your website, it's going to be faster and cheaper to prompt Stable Diffusion to create one than to pay for a stock photo or a professional photographer. For a glimpse into this disturbing possible future—and how it is already here in apps like https://websim.ai—here's my 7-minute take: https://lnkd.in/eqXXax3p #Archives #Collections #DigitalCuration #DigitalHumanities #Digitization #GLAM #Libraries #Metadata #Museums #AIinEducation #AIliteracy #GenerativeAI
AI and the future of archives: some speculations
https://www.youtube.com/
To view or add a comment, sign in
-
Will we never learn? "By 2027, the global AI sector could annually consume as much electricity as the Netherlands, according to one recent estimate. And a new study in Nature Computational Science identifies another concern: AI’s outsize contribution to the world’s mounting heap of electronic waste. The study found that generative AI applications alone could add 1.2 million to five million metric tons of this hazardous trash to the planet by 2030, depending on how quickly the industry grows." Meanwhile ~every company is scrambling to find more nails to smash with their new AI hammers. Maybe we could lay off using enormously wasteful AI products to generate banal and meaningless social media posts, or generating the first two useless lines of dialog in a chat session before the user asks "can I just talk to a f***ing human?!"
Generative AI Could Generate Millions More Tons of E-Waste by 2030
scientificamerican.com
To view or add a comment, sign in
-
The advent of generative AI could transform the role of the archive into something dramatically different than it was just two years ago. We're used to thinking of archives as endpoints of a cultural artifact. A photograph is shot with a camera and then digitized, or born digital when snapped with someone's phone; then circulates through the Internet via Instagram or Flickr; if deemed sufficiently notable to preserve for the future, the image might make it way into an archive or museum. There conservators ingest it into a database for preservation system as part of the historical record. As Eryk Salvaggio points out, generative AI is like an archive in reverse. Whether trained on a highly curated photo collection or the billion web pages of the "common crawl," large language models start by atomizing content in the archive and then compressing it into an engine that can produce new artifacts derived from that original content. In the extreme case, I wonder whether this paradigm shift could make coming into contact with actual human-generated artifacts less likely for the average person. If you need a photo for your website, it's going to be faster and cheaper to prompt Stable Diffusion to create one than to pay for a stock photo or a professional photographer. For a glimpse into this disturbing possible future—and how it is already here in apps like https://websim.ai—here's my 7-minute take: https://lnkd.in/eqXXax3p #Archives #Collections #DigitalCuration #DigitalHumanities #Digitization #GLAM #Libraries #Metadata #Museums #AIinEducation #AIliteracy #GenerativeAI
AI and the future of archives: some speculations
https://www.youtube.com/
To view or add a comment, sign in
-
“The current AI craze is a result of this toxic surveillance business model. It is not due to novel scientific approaches that–like the printing press–fundamentally shifted a paradigm. And while new frameworks and architectures have emerged in the intervening decade, this paradigm still holds: it’s the data and the compute that determine who “wins” and who loses. […] In addition to the current technologies that are being called “AI,” we also need to look at the AI narrative itself. The story that’s animating marketing and hype today – how is this marketing term being deployed? By wielding quasi-religious tales about conscious computers, artificial general intelligence, small elves that sit in our pocket and cater to our every desire, massive companies have paved the way for unprecedented dominance.” A marvellous acceptance speech from Meredith Whittaker for the 2024 Helmut Schmidt Future Prize. I very strongly share Whittaker’s optimism as a driver of action and analysis, as opposed to complacency. Via Bundeskanzler-Helmut-Schmidt-Stiftung #AI #AIEthics #ResponsibleAI
Die Rede der Zukunftspreisträgerin
helmut-schmidt.de
To view or add a comment, sign in