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Showing posts from April, 2024

New top story on Hacker News: Show HN: Blot – code, art, robots and open source education

Show HN: Blot – code, art, robots and open source education 8 by apexedison | 3 comments on Hacker News. For the last few years, I've been working at a non-profit called Hack Club developing tools to support self-motivated teens to learn about technology and build community with other like-minded peers while doing so. This has resulted in the development of a model called "you ship, we ship." We build open source creative coding environments, and when teenagers share the projects they make with these tools, we send them materials to dive deeper into the subject and related technologies. Our approach is predicated on the constructionist idea that people learn best by building things they care about and sharing them with others. The vision we have is to create a public collection of creative learning tools that offer people projects they can do right away and communities of practice to engage with. Blot is our next installment in the series. It's designed to be a gat

More Tornadoes Are Likely in the Great Plains

By Emmett Lindner and Judson Jones from NYT U.S. https://ift.tt/F4oCWLX

New top story on Hacker News: Show HN: I made a programmable computer from NAND gates

Show HN: I made a programmable computer from NAND gates 31 by ArchAndStarch | 3 comments on Hacker News. I am proud to present my solo hobby project NAND. This year-long undertaking follows the completed Nand to Tetris course, but ported to the web with its own runtime, user interface, and IDE. Using the "Load example program" selector, you can try out some programs I wrote on NAND's emulated hardware such as 2048, a genetic algorithm, and a manual stack overflow to corrupt the screen. Check out NAND at https://nand.arhan.sh Additionally, I've authored an extensive writeup about the project. Read about it on the GitHub repository's readme.

Trump Named as Unindicted Conspirator in Michigan Election Interference Case

By Danny Hakim from NYT U.S. https://ift.tt/HyK9gEv

Sununu Says Trump ‘Contributed’ to Insurrection, but Still Has His Support

By Maggie Astor from NYT U.S. https://ift.tt/4nrlPMy

Don Wright, Editorial Cartoonist With a Skewer for a Pen, Dies at 90

By Sam Roberts from NYT Business https://ift.tt/mDWFjMQ

New top story on Hacker News: Show HN: Stream of Consciousness – watch an artificial persona making art

Show HN: Stream of Consciousness – watch an artificial persona making art 9 by jamez | 3 comments on Hacker News. Hi HN, moved by curiosity about how to build an autonomous agent, and to explore the boundaries of machine creativity, I built a fictional entity (dubbed Livia) powered by LLMs, Multimodal models and text-to-image models to find some answers. What happened instead is that more questions have cropped up. An important hypothesis of this project is that, by observing the train of thought and witnessing the simulated state of mind and emotional emulation surrounding it, humans could empathize with a machine. What happens when that's the case? Would people enjoy companionship from a synthetic person? Would the Art establishment ever consider a non-human author (capable of making art and interacting with other humans) an Artist? Whatever the answers, I can't shake away the feeling that human uniqueness is being eroded and that we risk facing a crisis of meaning. Perhap

Trump Criticizes Arizona Abortion Ban

By The New York Times from NYT U.S. https://ift.tt/iKFqwdh

New top story on Hacker News: Show HN: Sonauto – a more controllable AI music creator

Show HN: Sonauto – a more controllable AI music creator 59 by zaptrem | 29 comments on Hacker News. Hey HN, My cofounder and I trained an AI music generation model and after a month of testing we're launching 1.0 today. Ours is interesting because it's a latent diffusion model instead of a language model, which makes it more controllable: https://sonauto.ai/ Others do music generation by training a Vector Quantized Variational Autoencoder like Descript Audio Codec ( https://ift.tt/Iwk16oP ) to turn music into tokens, then training an LLM on those tokens. Instead, we ripped the tokenization part off and replaced it with a normal variational autoencoder bottleneck (along with some other important changes to enable insane compression ratios). This gave us a nice, normally distributed latent space on which to train a diffusion transformer (like Sora). Our diffusion model is also particularly interesting because it is the first audio diffusion model to generate coherent lyrics! W