https://github.com/divyenduz/notebooklm-calibre-plugin
I am not sure if this is useful for anyone else but I recently found myself converting a lot of books / magazines and content to NotebookLM Deep Dives, so, I wrote this quick plugin to do that in single click.I find this is a nice way to go through a lot of content (during commute etc.) and pick interesting stuff to read.Think of it as skimming a book and deciding to read it.
"lot of knowledge on the websites, freely available, for anyone who wants to read", of course, I read that a lot as I mentioned in parts of the blog post, I didn't want to out source "learning" and I did many things the hard way i.e. reading + understanding and continue to do so.
LLMs were mostly useful in two things: - I could make a copy of my apartment (it is much more accurate by now) and I can practice simulator and real life in the same place. This is why the creator of The Zone built it too. This without AI would have been a multi week project for me and with AI it was a 2-3 day on the side thing. - When debugging settings things up, I can give it access to read the real data from my devices, videos. No online reading has that context and can translate that into insights quick. It is more about speed than AI.
I also mentioned "what's learning anyways" at the bottom of the post, FPV flying is a good example because unlike say writing content or software or creating something the AI can't do it (it can fly drones with IMU, GPS but not tiny whoops) for you and can only assist you.
Would be curious about your blog post on the subject btw. Won't mind you sharing that.
https://x.com/divyenduz/status/2010959045436260795
Testing the boundaries of what I can do with AI and how to prevent AI slop and produce meaningful things 100% hands off.
Is this meaningful? I don't know yet.
https://github.com/divyenduz/scorelang
Wrote a small DSL to run football tournaments (for fun and ease of managing tournaments).We ran a 3 team tournament the other day and ChatGPT struggled to calculate the points table from scores.That birthed the idea of scorelang.
It is like Strava for Football (gets data using Strava OAuth). Open source, but docs aren't simply there yet for host-ability!
Also, don't want to hijack your post, but some people might be interested in a football variant! Will defn try Endurain soon
Basically, you can just manually call the sync command with s3 bucket and local directory arguments in reverse or use aws s3 cp --recursive
https://github.com/divyenduz/dev-infrastructure
Basically, independent docker-compose files that expose ports to the host instead of docker's internal networking. Make setting up database and trying self-hosted projects easier.
https://github.com/divyenduz/backup-scheduler
Cheap and dirty solution to backup a specific folder on macOS to S3. I use this to backup my Calibre library.
- https://github.com/divyenduz/languagelearners - https://languagelearners.vercel.app/
Besides, this is almost a solved problem in B2B, many many provides for professional teams
No real football games to track yet because of the pandemic but I did track some running/kicking the ball sessions.
Here is how they look like - https://mylifefootball.com/activity/46 - https://mylifefootball.com/activity/4
Very very early days and it is something ready only for power users. Login with strava is required and the "social" aspects of this might even violate their API terms (so, If I pursue this further, I need to create my own apps collecting data)
How does this look like? Anyone else besides me interested in something like this.
I would at some point use TinaCMS in place of this custom editor I slapped together.