Optical Circuit Switching for ML Systems
9 by tim_sw | 1 comments on Hacker News.
Saturday, September 30, 2023
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Sunday, September 24, 2023
As Trump Prosecutions Move Forward, Threats and Concerns Increase
By Michael S. Schmidt, Adam Goldman, Alan Feuer, Maggie Haberman and Glenn Thrush from NYT U.S. https://ift.tt/XojWtVm
via IFTTT
Saturday, September 23, 2023
Friday, September 22, 2023
Zach Bryan’s Melancholy Bon Iver Duet, and 9 More New Songs
By Jon Pareles, Jon Caramanica, Isabelia Herrera, Giovanni Russonello and Lindsay Zoladz from NYT Arts https://ift.tt/7Kj6A3S
via IFTTT
Thursday, September 21, 2023
Wednesday, September 20, 2023
Tuesday, September 19, 2023
Monday, September 18, 2023
Climate Protesters March in New York City
By Noah Throop, Christina Kelso and Shane O’Neill from NYT New York https://ift.tt/ePqGxyd
via IFTTT
Sunday, September 17, 2023
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Monday, September 11, 2023
New top story on Hacker News: Show HN: Loopy – share and find and music you love
Show HN: Loopy – share and find and music you love
8 by kylel95 | 0 comments on Hacker News.
Hi, I created loopy, a website to share and discover music you love. A former coworker answered an ice breaker question saying his superpower would be to know every language fluently since he travels a lot. Mine would be to hear every song I would fall in love with. I realized that I will die without hearing every song that I will fall in love with. So many of my all-time favorite songs I randomly have heard at a club, coffee shop, traveling, walking by a store, etc. There is a high chance that I would have never heard those songs. Loopy aims to fix this. You can post your all-time favorite songs. If someone else love this song, there is a chance you will too :). Here is my profile: https://loopy.fm/kyle Happy listening :) - Kyle
8 by kylel95 | 0 comments on Hacker News.
Hi, I created loopy, a website to share and discover music you love. A former coworker answered an ice breaker question saying his superpower would be to know every language fluently since he travels a lot. Mine would be to hear every song I would fall in love with. I realized that I will die without hearing every song that I will fall in love with. So many of my all-time favorite songs I randomly have heard at a club, coffee shop, traveling, walking by a store, etc. There is a high chance that I would have never heard those songs. Loopy aims to fix this. You can post your all-time favorite songs. If someone else love this song, there is a chance you will too :). Here is my profile: https://loopy.fm/kyle Happy listening :) - Kyle
Sunday, September 10, 2023
New top story on Hacker News: Show HN: Erlmacs – a script to update your .emacs file for Erlang development
Show HN: Erlmacs – a script to update your .emacs file for Erlang development
5 by dlachausse | 0 comments on Hacker News.
erlmacs automatically configures and updates your .emacs file with support for the emacs mode that is included with Erlang/OTP. It frees you from having to locate the installation directory of Erlang/OTP and its bundled emacs mode. It is an escript that only depends upon Erlang/OTP and Emacs. Note: There is not much in the way of error checking at this moment, but it does make a backup of your .emacs files before any destructive operations.
5 by dlachausse | 0 comments on Hacker News.
erlmacs automatically configures and updates your .emacs file with support for the emacs mode that is included with Erlang/OTP. It frees you from having to locate the installation directory of Erlang/OTP and its bundled emacs mode. It is an escript that only depends upon Erlang/OTP and Emacs. Note: There is not much in the way of error checking at this moment, but it does make a backup of your .emacs files before any destructive operations.
Saturday, September 9, 2023
New top story on Hacker News: Show HN: WhatsApp-Llama: A clone of yourself from your WhatsApp conversations
Show HN: WhatsApp-Llama: A clone of yourself from your WhatsApp conversations
3 by advaith08 | 0 comments on Hacker News.
Hello HN! I've been thinking about the idea of a LLM thats a clone of me - instead of generating replies to be a helpful assistant, it generates replies that are exactly like mine. The concept's appeared in fiction numerous times (the talking paintings in Harry Potter that mimic the person painted, the clones in The Prestige), and I think with LLMs, there might actually be a possibility of us doing something like this! I've just released a fork of the facebookresearch/llama-recipes which allows you to fine-tune a Llama model on your personal WhatsApp conversations. This adaptation can train the model (using QLoRA) to respond in a way that's eerily similar to your own texting style. What I've figured out so far: Quick Learning: The model quickly adapts to personal nuances, emoji usage, and phrases that you use. I've trained just 1 epoch on a P100 GPU using QLoRA and 4 bit quantization, and its already captured my mannerisms Turing Tests: As an experiment, I asked my friends to ask me 3 questions, and responded with 2 candidate responses (one from me and one from llama). My friends then had to guess which candidate response was mine and which one was Llama's. Llama managed to fool 10% of my friends, but with more compute, I think it can do way better. Here's the GitHub repository: https://ift.tt/QhTrRtx Would love to hear feedback, suggestions, and any cool experiences if you decide to give it a try! I'd love to see how far we can push this by training bigger models for more epochs (I ran out of compute credits)
3 by advaith08 | 0 comments on Hacker News.
Hello HN! I've been thinking about the idea of a LLM thats a clone of me - instead of generating replies to be a helpful assistant, it generates replies that are exactly like mine. The concept's appeared in fiction numerous times (the talking paintings in Harry Potter that mimic the person painted, the clones in The Prestige), and I think with LLMs, there might actually be a possibility of us doing something like this! I've just released a fork of the facebookresearch/llama-recipes which allows you to fine-tune a Llama model on your personal WhatsApp conversations. This adaptation can train the model (using QLoRA) to respond in a way that's eerily similar to your own texting style. What I've figured out so far: Quick Learning: The model quickly adapts to personal nuances, emoji usage, and phrases that you use. I've trained just 1 epoch on a P100 GPU using QLoRA and 4 bit quantization, and its already captured my mannerisms Turing Tests: As an experiment, I asked my friends to ask me 3 questions, and responded with 2 candidate responses (one from me and one from llama). My friends then had to guess which candidate response was mine and which one was Llama's. Llama managed to fool 10% of my friends, but with more compute, I think it can do way better. Here's the GitHub repository: https://ift.tt/QhTrRtx Would love to hear feedback, suggestions, and any cool experiences if you decide to give it a try! I'd love to see how far we can push this by training bigger models for more epochs (I ran out of compute credits)
New top story on Hacker News: Show HN: Productonboarding.com – Mobbin for SaaS product onboarding
Show HN: Productonboarding.com – Mobbin for SaaS product onboarding
7 by brownrout | 1 comments on Hacker News.
Hey Hackernews, Eric here! Wanted to share a new website we just built called productonboarding.com (Next.js and RSC). The site has screenshots and videos of product onboarding from companies like Figma, Notion, Framer, and more. It’s sort of like Mobbin for web-based product onboarding. We build a lot of product onboarding at our startup Frigade, and over the last year we’ve put together an internal library of hundreds of product onboarding examples that we refer to all the time with customers. It helps them find and copy patterns that work at other companies so they don’t need to create net new experiences or A/B test their way into the best performing pattern from scratch. Given it's been so useful to us, we decided to open it up to the world. We bought productonboarding.com and have started adding examples from our collection and made them browsable and sortable. We’re planning to add new examples weekly. Hope this is helpful to any of you who are currently thinking through building new onboarding experiences. Would love any ideas and feedback. Thanks!
7 by brownrout | 1 comments on Hacker News.
Hey Hackernews, Eric here! Wanted to share a new website we just built called productonboarding.com (Next.js and RSC). The site has screenshots and videos of product onboarding from companies like Figma, Notion, Framer, and more. It’s sort of like Mobbin for web-based product onboarding. We build a lot of product onboarding at our startup Frigade, and over the last year we’ve put together an internal library of hundreds of product onboarding examples that we refer to all the time with customers. It helps them find and copy patterns that work at other companies so they don’t need to create net new experiences or A/B test their way into the best performing pattern from scratch. Given it's been so useful to us, we decided to open it up to the world. We bought productonboarding.com and have started adding examples from our collection and made them browsable and sortable. We’re planning to add new examples weekly. Hope this is helpful to any of you who are currently thinking through building new onboarding experiences. Would love any ideas and feedback. Thanks!
Friday, September 8, 2023
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Saturday, September 2, 2023
New top story on Hacker News: Show HN: Modular Diffusion – A modular Python library for diffusion models
Show HN: Modular Diffusion – A modular Python library for diffusion models
6 by secularchapel | 0 comments on Hacker News.
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available. Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible). I would really appreciate your feedback.
6 by secularchapel | 0 comments on Hacker News.
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available. Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible). I would really appreciate your feedback.
Friday, September 1, 2023
New top story on Hacker News: Show HN: An Immersive Game of Thrones Multiverse Experience
Show HN: An Immersive Game of Thrones Multiverse Experience
4 by thronesMultiV | 0 comments on Hacker News.
Alpha Version Demo: https://ift.tt/1SnJmyx Twitter: https://twitter.com/ThronesMultiV/status/1697440568874348953 We're here to present an experimental product empowered by the blend of Stable Diffusion and ChatGPT! Dive into Westeros like never before. Our experimental product offers an immersive storytelling experience where you play a pivotal role in shaping the narrative. Ever wondered if the ending of the final seasons of Game of Thrones could've been different? Now's your chance to twist the tale. Current Features : - AI-driven alternative endings starting from the end of S7. - Real-time story interventions, allowing you to change the plotline as you read. What's Next : - Continuous enhancements to refine and polish the storytelling experience. - And yes, we're contemplating open-sourcing the project – giving back to this amazing community and encouraging further innovation. We truly believe in the power of collaboration. If you have feedback, suggestions, or just want to geek out about Westeros, shoot us an email at ready2play.contact@gmail.com ! Additionally, if you're as passionate about AI and storytelling as we are, we'd love for you to collaborate with us on this exciting project. Remember, winter is coming, but with AI, the possibilities are endless. Stay excited and stay kind! Valar Morghulis!
4 by thronesMultiV | 0 comments on Hacker News.
Alpha Version Demo: https://ift.tt/1SnJmyx Twitter: https://twitter.com/ThronesMultiV/status/1697440568874348953 We're here to present an experimental product empowered by the blend of Stable Diffusion and ChatGPT! Dive into Westeros like never before. Our experimental product offers an immersive storytelling experience where you play a pivotal role in shaping the narrative. Ever wondered if the ending of the final seasons of Game of Thrones could've been different? Now's your chance to twist the tale. Current Features : - AI-driven alternative endings starting from the end of S7. - Real-time story interventions, allowing you to change the plotline as you read. What's Next : - Continuous enhancements to refine and polish the storytelling experience. - And yes, we're contemplating open-sourcing the project – giving back to this amazing community and encouraging further innovation. We truly believe in the power of collaboration. If you have feedback, suggestions, or just want to geek out about Westeros, shoot us an email at ready2play.contact@gmail.com ! Additionally, if you're as passionate about AI and storytelling as we are, we'd love for you to collaborate with us on this exciting project. Remember, winter is coming, but with AI, the possibilities are endless. Stay excited and stay kind! Valar Morghulis!
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