For anyone interested in seeing how dithering can be pushed to the limits, play 'Return of the Obra Dinn'. Dithering will always remind you of this game after that.
I think that local search, retrieval, and filing will become much easier with LLMs.
There are already tools and products in the market that allow you to rename and organize files. I believe this is the future.
We have developed various systems over decades, but I anticipate with LLMs it'll be so easy to file and retrieve things that we won't even have to think about it.
More than a Roman character, Catalina reminded me of "Howard Roark" from The Fountainhead. It's been at least a decade since I last read it, but I thought the movie was quite influenced by that book.
looks promising, but after looking at the website I'm yearning to learn more about it! How does it compare to alternatives? What's the performance like? There isn't enough to push me to stop using ChatGPT and use this instead. Offline is good, but to get users at scale there has to be a compelling reason to shift. I don't think that offline capabilities are going to be enough to get significant number of users.
Another tip, I try out a new chat interface to LLMs almost every week and they're free to use initially. There isn't a compelling reason for me to spend $10 from the get to for a use case that I'm not sure about yet.
Been 4 months and I'm pretty happy with the following setup: PiHole + RaspberryPi + Tailscale
With Pihole running on a tailnet all my devices use it by default as long as they're on the same tailnet. That way I have seamless ad-blocking even when I'm on cellular data or my friends' wifi networks.
Recently bought a Raspberry Pi 4, spun it up and installed various things on Ubuntu running from an SD Card. I now have a server running in my room again after probably a decade!
For someone unexperienced with ESP32 but wanting to dip your toes, I'd highly recommend M5Stack - https://m5stack.com/ . No affiliation whatsoever, but I started playing with some basic boards last year for the first time and the the tiny devices they build have so many different sensors, transmitters, etc that you can start with a lot of early experiments just using a single device and a USB-C cable.
I don't see how 'Tesla' is not top of the list here. For the 'Trouble Areas' I suspected they're normalizing over the 'length of ownership' which would bias the scores towards older car companies.
Using it for journaling and capturing ideas. Previous workflow as iPhone Memos. Now it's
voice message -> openclaw -> transcribe using parakeet -> git repo