The best Hacker News stories from All from the past day
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Pixar, Adobe, Apple, Autodesk, and Nvidia form alliance for OpenUSD
Pixar, Adobe, Apple, Autodesk, and Nvidia form alliance for OpenUSD
Semiconducting Transport in LK99 reproduction attempt
Huazhong University demonstrates LK-99 diamagnetism
Jujutsu: A Git-compatible DVCS that is both simple and powerful
A room-temperature superconductor? New developments
A room-temperature superconductor? New developments
Ask HN: Is anyone using PyPy for real work?
I have been the release manager for PyPy, an alternative Python interpreter with a JIT [0] since 2015, and have done a lot of work to make it available via conda-forge [1] or by direct download [2]. This includes not only packaging PyPy, but improving on an entire C-API emulation layer so that today we can run (albeit more slowly) almost the entire scientific python data stack. We get very limited feedback about real people using PyPy in production or research, which is frustrating. Just keeping up with the yearly CPython release cycle is significant work. Efforts to improve the underlying technology needs to be guided by user experience, but we hear too little to direct our very limited energy. If you are using PyPy, please let us know, either here or via any of the methods listed in [3].<p>[0] <a href="https://www.pypy.org/contact.html" rel="nofollow noreferrer">https://www.pypy.org/contact.html</a>
[1] <a href="https://www.pypy.org/posts/2022/11/pypy-and-conda-forge.html" rel="nofollow noreferrer">https://www.pypy.org/posts/2022/11/pypy-and-conda-forge.html</a>
[2] <a href="https://www.pypy.org/download.html" rel="nofollow noreferrer">https://www.pypy.org/download.html</a>
[3] <a href="https://www.pypy.org/contact.html" rel="nofollow noreferrer">https://www.pypy.org/contact.html</a>
Ice core scientists in East Greenland reach bedrock
Ice core scientists in East Greenland reach bedrock
A fridge from 70 years ago has better features than the fridge I own now
NASA mistakenly severs communication to Voyager 2
NASA mistakenly severs communication to Voyager 2
Marijuana addiction: those struggling often face skepticism
Marijuana addiction: those struggling often face skepticism
LK-99: The live online race for a room-temperature superconductor
Linux Air Combat: free, lightweight and open-source combat flight simulator
How the Rich Reap Huge Tax Breaks From Private Nonprofits
Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.<p>Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.<p>Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).<p>Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: <i>"What was that book Trillian mentioned at Zaphod's birthday last week"</i>. We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.<p>Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for <i>"bought flowers at grocery store"</i> will find notes about <i>"roses at wholefoods"</i>.<p>Quickstart:<p><pre><code> pip install khoj-assistant && khoj
</code></pre>
See <a href="https://docs.khoj.dev/#/setup">https://docs.khoj.dev/#/setup</a> for detailed instructions<p>We also have desktop apps (in beta) at <a href="https://github.com/khoj-ai/khoj/releases/tag/0.10.0">https://github.com/khoj-ai/khoj/releases/tag/0.10.0</a> if you want to try them out.<p>Please do try out Khoj and let us know if it works for your use cases? <i>Looking forward to the feedback!</i>
Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.<p>Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.<p>Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).<p>Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: <i>"What was that book Trillian mentioned at Zaphod's birthday last week"</i>. We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.<p>Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for <i>"bought flowers at grocery store"</i> will find notes about <i>"roses at wholefoods"</i>.<p>Quickstart:<p><pre><code> pip install khoj-assistant && khoj
</code></pre>
See <a href="https://docs.khoj.dev/#/setup">https://docs.khoj.dev/#/setup</a> for detailed instructions<p>We also have desktop apps (in beta) at <a href="https://github.com/khoj-ai/khoj/releases/tag/0.10.0">https://github.com/khoj-ai/khoj/releases/tag/0.10.0</a> if you want to try them out.<p>Please do try out Khoj and let us know if it works for your use cases? <i>Looking forward to the feedback!</i>