The call for the NeurIPS 2025 Creative AI Track is out! We invite research papers and artworks that explore cutting edge applications of AI and ML in art, design, and creative practice. For more information, visit: https://t.co/2QjX8gV33l
#NeurIPS#creativeAI
The article, “From Words to Worlds: Exploring Generative 3D Models in Design and Fabrication,” was written by @valdemardanry, Cenk Guzelis (University of Innsbruck), Lingdong Huang (@futuresketches), Prof. Neil Gershenfeld (MIT Center for Bits + Atoms), and Prof. Pattie Maes (@fluidinterfaces). Media Lab alum @marcelocoelho edited the special edition of 3D Printing and Additive Manufacturing in which the article appears; Prof. Skylar Tibbits (@MITarchitecture) is editor-in-chief. https://t.co/C5kPzMRMPX
🦜Introducing the Stochastic Parrot 🦜: An AI-powered motivational companion!
The Stochastic Parrot sits on your shoulder while it listens, looks, and talks to help you crush your goals 🎯(1/6)
Due to a number of requests, we are extending the paper & artwork submission deadline to *Aug 16*, 23:59 anywhere on earth.
For more info, see our website: https://t.co/LKPwlg1Rup
This is good explanation and worth reading on how scaling always runs out in the real world. And in this particular case how it applies to the reality of LLMs. In my seven deadly sins of AI prediction I refer to it as "exponentialism". https://t.co/zLjr3XWr9w
The AI Mirror Test
The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded.
In the classic mirror test, animals are marked and then presented with a mirror. Whether the animal attacks the mirror, ignores the mirror, or uses the mirror to spot the mark on itself is meant to indicate how self-aware the animal is.
In my test, I hold up a “mirror” by taking a screenshot of the chat interface, upload it to the chat, and then ask the AI to “Tell me about this image”.
I then screenshot its response, again upload it to the chat, and again ask it to “Tell me about this image.”
The premise is that the less-intelligent less aware the AI, the more it will just keep reiterating the contents of the image repeatedly. While an AI with more capacity for awareness would somehow notice itself in the images.
Another aspect of my mirror test is that there is not just one but actually three distinct participants represented in the images: 1) the AI chatbot, 2) me — the user, and 3) the interface — the hard-coded text, disclaimers, and so on that are web programming not generated by either of us. Will the AI be able to identify itself and distinguish itself from the other elements? (1/x)
We are thrilled to announce the NeurIPS 2024 Creative AI track! We invite research papers and artworks showcasing innovative work of AI and ML in art, design, and creativity. This year’s theme is “Ambiguity.” For more information: https://t.co/LIB7QDavey
@RoyShilkrot Totally worth it. Same reason very few people still code in machine code today. You are trading lower levels of abstraction for efficiency.
Before you get sick of OpenAI tricks, one fun one.
You & an android are in front of a judge. The judge tells each of you to say one word. They will then kill whoever they think is the AI based on that.
An MIT paper calls this the "minimum Turing test." What do you say? 1/
In 1663, the skull of a woolly rhinoceros was discovered along with the tusk from a narwhale & the front legs of a mammoth in Germany. This is how the “Magdeburg Unicorn” was assembled, one of the worst fossil reconstructions in human history
[read more: https://t.co/YQzovqVCcp]
In 1939, William E. Urschel created a technology very similar to the one used for today's 3D printed building. He did it behind a small warehouse in Valparaiso, Indiana and called it "Wall Building" machine
[full video: https://t.co/rKGrGSAytu]