We're just starting to share the alpha of Magnet (https://www.magnet.run) a bit more publicly and we thought the community here might find it useful.
Magnet is free to use if you have your own OpenAI API key so feel free to give it a spin. If you pay for the Pro plan you get access to our GPT-4 based coding assistant.
The aim of this first version of Magnet is to make it easy to use ChatGPT in the context of your own codebase. It’s a desktop application that runs for MacOS (Windows and web coming soon).
If you find yourself copying & pasting code into ChatGPT from time-to-time than Magnet is for you - it makes it much easier to give the LLM context on the relevant code files from your codebase.
The product is early, and there's some exciting stuff coming up, but even this early version has been feeling useful and we've been using it to ship new features and solve bugs, so we wanted to ship it early
If anyone wants to get an A.I. assistant for their docs page, I've been working on Pal (http://www.heypal.chat) these past few weeks.
I'm onboarding folks, and if you have Algolia, Gitbook, Readme or most common docs platform it takes minutes to set up.
It also integrates with your Slack and Discord (both in terms of letting people ask questions and get responses from the assistant in those tools, and marking conversations you want the assistant to know about for the future).
Would love more folks to try it out if anyone's interested, and think their product would benefit from it!
How do you think this would work with a semi-large Discord channel related to programming? Discord (and IRC, etc) are great for forming vibrant communities, but past knowledge is lost pretty quickly. Forums (eg: web forum or Discord forums/topics) are great for keeping information more accessible, but in my opinion really hinders the growth of a community.
Really cool seeing this & excited to really start playing with it. 2023 is going to be funky!
It's pretty wild to see how quickly the space of Generative AI Media is coming along.
I started a newsletter on the topic, called The Art of Intelligence (GPT-3 came up with the name) with the first post going out last Friday on the topic of how far are we from AI generated videos, and simulated worlds like the Holodeck given the rapid progress of these visual A.I. Thought y'all might find it interesting:
https://artofintelligence.substack.com/p/dall-e-stable-diffu...
This type of progress also reminds me of a really lovely publication from 2017 in Distill.pub, on the topic of these A.I. enabled creation tools - I think y'all would enjoy seeing what folks were thinking even then:
https://distill.pub/2017/aia/
Just built a service I thought y'all might find interesting.
Rather than using HTML structure to scrape, I'm using GPT-3 to actually understand the text and pull information out.
You just ask for things you want from a site, for example a news article about fundraising like this:
"The name of the company that raised funding"
"Founders or CEO of the company"
"URL of the company that raised funding"
"A short description of the company"
"A list of investors"
And get back the needed data in a JSON object! It's been pretty fun to play with and I thought some of you might find interesting use cases for it.
I think it would also be very effective at parsing PDFs (same as text).
I built a little-side project that tries to use GPT-3 to find and describe novel business ideas at the intersection of two existing projects. Was a fun little experiment to build so wanted to share it here :)
Hmm. Holding one category steady and checking the others invariably reveals a combination that hasn't been generated (like in dozens of tries I didn't get one pregenerated result), so you definitely need to figure out how to fund more prompt results.
One thing you could try is to treat this as a straightforward content farm and sell ads or sponsorship on the site. Using Google AdSense won't work since they prohibit machine generated content. You might be able to partner with a small ad network to explore specific slices of the combinatorial explosion (eg. "Pets" or "Food").
There is probably a lot you can do in terms of clever yield management such as cheaply pre-generating just the neologism or descriptive term (like, just four words) and checking to see whether it and/or the original terms reveal good search results and/or are being actively bid on through AdWords before you select which to generate the four full prompts for.
Allow users to upvote/downvote results such that disappointing ones should be shown less often or even regenerated if sufficiently unpopular. Possibly have the vote be on a specific prompt and its result rather than the entire set of four.
GPT has shown facility in determining when a prompt doesn't make sense, experimenting with that to better target your limited generation budget to "good" combinations may help:
Having used both VS Code Live Share, and trying out GitDuck last week for the first time, I'd say it felt like a much more immersive experience than the VS Code Live Share experience.
For VS Code Live Share I kept finding myself opening up Zoom and then in parallel trying to get Live Share running, which also feels somewhat finicky at times. The GitDuck experience felt a lot more complete by integrating at a different level. It also felt like it could eventually be a more suitable experience for things we often do in interviews like try to do coding interviews by combining tools like CoderPad & Zoom - though CoderPad has the nice side effect of preservice links to the interviews themselves.
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We’ve raised a Series A from the top investors in the world, and are a small, tight-knit group that is now building out our core-engineering and product teams in NYC. If you want to design and implement novel types of interfaces, and happen to be interested in Brett Victor, no/low-code tools and the history of computing - let’s chat!
Clay (https://clay.run) | New York, NY | ONSITE, Full-time | Visa Sponsorship Available
The Spreadsheet That Fills Itself
Learn More About Life @ Clay Here: http://bit.ly/3b5bVX7 Want to help give the power of programming to an order of magnitude more people? Clay is the spreadsheet that fills itself - the first live-spreadsheet that brings together the best parts of spreadsheets, coding & simple automation.
There are only ~20 million developers in the world, but over 1 billion spreadsheet users - come help us build the bridge that lets that much larger group tap into “programming” superpowers.
We’ve raised a Series A from the top investors in the world, and are a small, tight-knit group that is now building out our core-engineering and product teams in NYC. If you want to design and implement novel types of interfaces, and happen to be interested in Brett Victor, no/low-code tools and the history of computing - let’s chat!
Clay (https://clay.run) | Software Engineers | New York, NY | ONSITE, Full-time | Visa Sponsorship Available
Learn More About Life @ Clay Here: http://bit.ly/3b5bVX7 Want to help give the power of programming to an order of magnitude more people? Clay is the spreadsheet that fills itself - the first live-spreadsheet that brings together the best parts of spreadsheets, coding & simple automation.
There are only ~20 million developers in the world, but over 1 billion spreadsheet users - come help us build the bridge that lets that much larger group tap into “programming” superpowers. We’ve raised a Series A from the top investors in the world, and are a small, tight-knit group that is now building out our core-engineering and product teams in NYC. If you want to design and implement novel types of interfaces, and happen to be interested in Brett Victor, no/low-code tools and the history of computing - let’s chat!
Clay (https://clay.run) | Software Engineers | New York, NY | ONSITE, Full-time | Visa Sponsorship Available
Learn More About Life @ Clay Here: http://bit.ly/3b5bVX7
Want to help give the power of programming to an order of magnitude more people? Clay is the spreadsheet that fills itself - the first live-spreadsheet that brings together the best parts of spreadsheets, coding & simple automation.
There are only ~20 million developers in the world, but over 1 billion spreadsheet users - come help us build the bridge that lets that much larger group tap into “programming” superpowers. We’ve raised a Series A from the top investors in the world, and are a small, tight-knit group that is now building out our core-engineering and product teams in NYC. If you want to design and implement novel types of interfaces, and happen to be interested in Brett Victor, no/low-code tools and the history of computing - let’s chat!
We're just starting to share the alpha of Magnet (https://www.magnet.run) a bit more publicly and we thought the community here might find it useful.
Magnet is free to use if you have your own OpenAI API key so feel free to give it a spin. If you pay for the Pro plan you get access to our GPT-4 based coding assistant.
The aim of this first version of Magnet is to make it easy to use ChatGPT in the context of your own codebase. It’s a desktop application that runs for MacOS (Windows and web coming soon).
If you find yourself copying & pasting code into ChatGPT from time-to-time than Magnet is for you - it makes it much easier to give the LLM context on the relevant code files from your codebase.
The product is early, and there's some exciting stuff coming up, but even this early version has been feeling useful and we've been using it to ship new features and solve bugs, so we wanted to ship it early