#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
I am giving a Zoom talk today (Mar 22, 2023), 13:00 Istanbul time. Zoom link: https://zurl.co/sPwv
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
I never like Miicrosoft - but it’s CoPilot AI is working hard to please me)) I asked it to list “most important theorists in media and new media fields.” The first answer is in the screenshot in the left. Next I asked it to list more people, and its answer is in the screenshot in the right.
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
My next Zoom lecture is May 15, 19:00 pm UK time: https://lnkd.in/gxZqFGyt Honored to be invited by Computer Arts Society - the oldest organization for computer artists founded in 1968. https://lnkd.in/gbP2tTce
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
The attitudes of American students about Israel / Palestine are not typical of the rest of US population. And apparently the attitudes of many students in elite universities are not typical of others in their age group. Read the full report from Pew Research Center: https://lnkd.in/gTAcMipq
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
Italian edition (2023) of my book Cultural Analytics. Somehow publisher never send me any copies, so when a colleague in Milan brought her copy for me to sign, I finally saw this edition. Nice quality, good paper! And content is also interesting in my view)
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
This is the best video about evolution of key ideas leading to current AI paradigm. Over the years, I have watched hundreds of videos and read numerous articles, including many original papers in AI field. In my view, this video is just on another level from everything else about these topics I have seen - so I strongly recommend it to you and your students: https://lnkd.in/dxUjCAKH There is a popular simplistic idea that systems such as ChatGPT only learned statistics of human language - i.e. how to predict the next world. But this is not correct. As this video carefully explains, AI systems "know" (i.e.,. can use) abstract concepts and all kinds of abilities that go well beyond correlating words. From the video description: "We delve into the early experiments with tiny language models in the 1980s, highlighting significant contributions by researchers like Jordan, who introduced Recurrent Neural Networks, and Elman, whose work on learning word boundaries revolutionized our understanding of language processing. It leaves us with a question: what is thought? Is simulated thought, thought? Featuring Douglas Hofstadter, Michael I. Jordan, Jeffrey Elman, Geoffrey Hinton, Ilya Sutskever, Andrej Karpathy, Yann LeCun and more.
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
If you are in Venide on April 19, consider coming to our panel on "Art, A.I., and Emergent Aesthetics." Its free, and you don't need to have Biennale tickets. Just reserve your place here: https://lnkd.in/dkdUp_cS *** [ From Peter's post ] Welcome to "The Neo-Synthetic: A Dialogue on Art, A.I., and Emergent Aesthetics." In the newly restored Procuratie Vecchie on St Mark's Square, eight discussants — Refik Anadol, Michelle Kuo, Peter Lunenfeld, Lev Manovich, Eva & Franco Mattes, and Massimo Sterpi — will hold a dialogue at the intersection of technology and aesthetics in the heart of the global art world, during the Venice Biennale’s opening. This panel brings together perspectives and prescriptions from artists, curators, critics and legal scholars. The intent is to offer a preliminary mapping of the neo-synthetic future that has already arrived. Panelists REFIK ANADOL, Los Angeles-based artist working with generative art and AI ILARIA BONACCOSSA, director of the Palazzo Ducale, Genoa, former director of the Italian National Museum of Digital Art MICHELLE KUO, Curator at the Museum of Modern Art, New York PETER LUNENFELD, Professor, UCLA Design Media Arts, director of the Institute for Technology and Aesthetics (co-organizer) LEV MANOVICH, Presidential Professor, CUNY Graduate Center, artist and theorist working with AI, author of 3 books on AI and aesthetics EVA & FRANCO MATTES, operating as 0100101110101101.org are a NYC based duo of internationally acclaimed media artists MASSIMO STERPI, Partner, Gianni & Origoni, head of the firm’s intellectual property and art law departments (co-organizer),
#AI, #GenerativeAI, #DigitalArt, #DigitalCulture, #Aesthetics, #Modernism, Artist and writer. Director, Cultural Analytics Lab. Professor, Graduate Center at City University of New York
Chapter 7 of our book "Artificial Aesthetics: Generative AI, Art and Visual Media" is now available (free PDF): Lev Manovich. Separate and Reassemble: Generative AI Through the Lens of Art and Media Histories. (7000 words) https://lnkd.in/grs4yaJ6 Previous chapters: https://lnkd.in/geysruSf Fragment from the new chapter: "Both human and machine cognition rely on compression. We perceive and understand the world through categories and types. Human art also uses compression. But there is a fundamental difference between how compression works in the arts and in AI. While artworks often depict characters, symbols, or scenes that condense human experiences, they also frequently contain many concrete and distinct details. This combination of general and concrete, predictable and unique is especially important for modern arts (19th-21st c). Modern artists compresses human world and experience into patterns, structures and types - but they also typically add very particular, rare and unexpected details to these general patterns. In contrast, when we train AI models, the training data is compressed, and the particular and unique are automatically omitted. Extracting patterns from the data in machine learning involves eliminating outliers and many unique details and only selecting frequently appearing associations, characteristics and structures. This kind of compression is the fundamental characteristics of generative AI. (The same also holds for machine learning and statistics in general). Given this, can we expect AI to create artworks with enough concrete, unique, and subtle details? If all the most unique (i.e. rare) information is not preserved during training, where will it appear when we generate new artifacts?"
Digital Brand Experience / Creative Technology Lead - Senior Associate at M Moser Associates
1yOh.. enjoy the city my friend :), i wish i could attend.