Friday, April 28, 2023

Show HN: Pledge Your Human-Made Content https://ift.tt/EluGHwv

Show HN: Pledge Your Human-Made Content AI generated content is on the rise. How can you be sure what you're reading is 100% human? https://nonbot.org April 28, 2023 at 07:17PM

Show HN: Jarvis AI – Text, iMessage, and Email ChatGPT https://ift.tt/5J4Qf0x

Show HN: Jarvis AI – Text, iMessage, and Email ChatGPT We're back with another ShowHN! When we launched, you could text Jarvis AI using regular SMS messages from your phone. Since launching 3 weeks ago[1], we've introduced two new channels for using ChatGPT. Now you can use ChatGPT over SMS text message, iMessage for Apple-enabled devices, and via Email. It is super interesting to forward an email to Jarvis AI and see its thoughts on your email thread. It can help you brainstorm or it can suggest a reply to previous emails. 10 messages free forever, more volume is free over iMessage and Email for a limited time (until the HN hug of death!). You don't have to sign up or anything to try it. Just send a text to: +1 (855) 676-1two89. Thanks for checking this out. Many exciting features are coming soon to make this more than just a different interface to ChatGPT. We want to make AI accessible to more people, over more channels, with more useful things for your day-to-day. For medical professionals, we added the /diagnose command. Ask Jarvis "/diagnose 32 year old harsh cough" for example. Soon, we are adding features like /invoice for generating invoices and /remember for notes and reminders. [1] Related: See the first HN post when we launched here: https://ift.tt/2uPWvJF https://jarvis.tel April 28, 2023 at 06:06PM

Show HN: Code-Narrator: Automating Documentation with GPT-4 https://ift.tt/yTzDcMb

Show HN: Code-Narrator: Automating Documentation with GPT-4 As a solo developer on a sizeable project, I found myself facing the challenge of creating documentation, a task I admittedly do not enjoy. Fortunately, ChatGPT arrived just in time. After experimenting with it, I discovered that it generates high-quality documentation for code files, even better than what I could produce manually. This realization led me to develop Code-Narrator, a client that simplifies the documentation process. Code-Narrator ( https://ift.tt/6nbqjS9 ) utilizes GPT-4 to analyze your code files and automatically generate documentation. The tool is language-agnostic and has been tested with TypeScript, GraphQL, Solidity, C#, Kotlin, and more. As long as the files are in plain text, Code-Narrator should work seamlessly. The primary goal of Code-Narrator is to ease the documentation process for developers, transforming them from writers to editors. While developers are still responsible for verifying the accuracy of the generated documentation, the initial writing is handled by the AI. If GPT-4 produces incorrect documentation, it typically indicates that the code needs clarification, or a brief comment should be added to guide the AI. A general rule of thumb is that if GPT-4 cannot comprehend the code, it may be too complex for the next developer. However, Code-Narrator is constrained by GPT-4's 8192-token limit, which can be problematic for extensive code files. Those with access to the gpt-4-32k variant should expect better results. Upon its first run, Code-Narrator creates a configuration file by analyzing your project, and then prompts you to review it for accuracy. The key configuration aspects include the "include," "config_files," and "source_path" settings. In its second run, Code-Narrator generates documentation for your entire project. The process is time-consuming, taking approximately 45 minutes to complete from scratch. However, the tool is: - Flexible, allowing for the creation of custom pages such as How-To guides, tutorials, FAQs, READMEs, and other bespoke content. - Multilingual, supporting 25+ languages (as many as GPT-4 supports). - Versatile, capable of generating documentation in various formats (LaTeX, HTML, with the default being Markdown). For a demonstration on transforming a few lines into a How-To guide, watch this video: https://www.youtube.com/watch?v=uJtVCUOTkvw . Remember that brevity is key, as the more concise the input, the more GPT-4 can contribute. Code-Narrator also supports custom plugins, with tutorials available at https://ift.tt/TuoNQHO... . In terms of size and cost, Code-Narrator consists of 45 files and 1712 lines of code. The total cost of generating documentation for the entire project is approximately $2.5, a significant savings compared to manual documentation. During the development of Code-Narrator, I noticed several benefits: - Improved function naming: Reading the generated documentation led me to revise vague or overly general function names, resulting in better code and documentation. - Concise input: Focusing on reducing the size of the input file (liquid) became a fun challenge, helping to optimize the process. - Enjoyable interaction: Working with ChatGPT proved more enjoyable than manually writing documentation, and the more I experimented, the better the results. - Minimal input for tutorials: I was pleasantly surprised by how little input was required to create How-To guides and tutorials using GPT-4. - Encouragement to refactor: The 8K token limitation may be restrictive, but it also encourages developers to refactor their code for improved readability and structure. As a prototype and proof of concept, Code-Narrator has some limitations. I'm excited to see where Code-Narrator goes from here, and your feedback is invaluable. Thank you for taking the time to explore this project! https://ift.tt/6nbqjS9 April 28, 2023 at 03:49PM

Show HN: ScrapScript – A tiny functional language for sharable software https://ift.tt/Mr5DOfZ

Show HN: ScrapScript – A tiny functional language for sharable software Hi friends, I started casually working on scrapscript in 2015. I built a few compilers over the years to test out various ideas/implementations, and I think I'm finally happy with the overall design. The code is not public yet. Email me at hello@taylor.town if you're interested in joining the core team later this year. Let me know if you have any questions or feedback :) https://scrapscript.org April 26, 2023 at 05:15PM

Show HN: Codeium-Chrome: Free open-source AI autocomplete Chrome extension https://ift.tt/eqOxBZL

Show HN: Codeium-Chrome: Free open-source AI autocomplete Chrome extension https://ift.tt/U5Sdv1C April 28, 2023 at 02:14AM

Show HN: A Bel compiler to Emacs Lisp bytecode https://ift.tt/mGiKdWE

Show HN: A Bel compiler to Emacs Lisp bytecode In his classic Lisp in Small Pieces, Christian Queinnec actually suggested this project: compiling Scheme to Emacs Lisp byte code. I took up the challenge with Bel instead of Scheme. Much of the code actually comes from the book but adapted to the problem at hand. https://ift.tt/fwAGbe1 April 28, 2023 at 01:23AM

Thursday, April 27, 2023

Show HN: Web app turns your text into p5js (graphics) code using GPT https://ift.tt/jSTDPBl

Show HN: Web app turns your text into p5js (graphics) code using GPT Text → GPT → p5 | An app that turns your text prompt into p5js code (computer graphics) using OpenAI's GPT and displays it. Under the hood: Nextjs, React, CodeMirror, p5js I got into programming through arduino and processing. I've always thought about how to lower the barriers for people to start programming. With GPT, we can now turn plain text into code, allowing people to start coding without knowing code. OpenAI APIs don't come cheap! If you like the project, consider sponsoring access for others here: https://ift.tt/McKSIsL Cheers! https://ift.tt/z4KNa8x April 27, 2023 at 08:58AM

Show HN: SQLite Graph – Graph database with Cypher queries (alpha, but working) https://ift.tt/lAMG0NU

Show HN: SQLite Graph – Graph database with Cypher queries (alpha, but working) I've been working on adding graph database capabilities ...