gnothi VS daedalOS

Ok, glad someone brought this up. Premium uses GPT to generate summary / themes, and it's pretty much perfect every time. Free uses a version of led-16384 trained on booksum, and can.. well.. struggle. A common mistake it will make is to hallucinate content public-domain book type content, especially if the journal entry itself wasn't "meaty" enough to work with. The solution will be to implement a local large language model https://github.com/ocdevel/gnothi/issues/160, so that free users experience similar benefits to premium, if less precise. In the mean time, I'm going to keep fiddling with the summarization model today/tomorrow to see if I can't get it just a bit less book-ish.

Website, Github. My partner u/mVadr and I just launched Gnothi (v1). We’re both psychology/personal development enthusiasts who work in tech. We started Gnothi to get us journaling more, and to leverage machine learning to optimize the process.

Website, Github. Insights & resources include GPT-powered prompt (which uses journal entries as context) behavior analysis, book recommendations, entry summaries, and recurring themes.

I created a GPT journal and am now looking into LocalLLM for the privacy-focused. I gave RedPajama-INCITE a spin, and found it soooo bad! I mean.. really bad. I should note this was about 2 months ago? I did see they released a newer version, I'm assuming there was a data-collection / training process they were waiting on. But I'm wondering: is the magic in the fine-tuning? As in, did you find the model useful before you fine-tuned, and the fine-tuning was just a cherry on top? Or did you have to fine-tune to make it work?

I built a GPT-based Journal. Not a robo-therapist, but there's so much healing in journaling. This has the benefit of maintaining context (your past entries, based on filters). Website, Github

AI Journal. Website, Github. Trying to make an ultra power-tool quantified-self platform, coming from Habitica.

I built an open source robo-journal Gnothi. Started in 2019 with summarization, recurring themes, book recommendations, behavior tracking. Soon as GPT came along, you bet your butt I integrated.

I've learned so much while making this project into my personal website (dustinbrett.com). It's made me a much better web developer as I have tried to emulate a desktop environment with pixel perfect accuracy using CSS, HTML & JavaScript.

I'm very happy to announce that my personal website has once again been nominated for a Webby Award!

This has also been ported to the web via Emscripten. I host it on my website if anyone wants to play. https://dustinbrett.com/?app=SpaceCadet

Demo: https://dustinbrett.com/

As someone who built a website around this idea, I agree! The desktop metaphor is powerful. If anyone wants to check it out it's at https://dustinbrett.com

Very cool! It's always refreshing to see the "OS in the browser" projects that try and actually make something functional. I've been working on one myself for nearly 3 years now, called daedalOS (https://github.com/DustinBrett/daedalOS).

The WASM kernel idea is very cool and I hope one day to be able to add something similar to my project. I think you are onto something and I am excited to see your progress as you implement the GUI.

If you want some Browserception, my desktop environment (https://dustinbrett.com/) can indeed do this. But after a few levels in Chromium you need to add a random query string (/?a=1) to the URL otherwise it stops working.