I think what you're trying to describe is a Jupyter notebook but in a slimmer package. Maybe marimo or quarto? Maybe there are already notebook viewers out there (on GitHub?) that only allow view or edit without code execution, if that suits your needs.
Hello, thanks for the work for finally having an analog to Claude Code.
A natural question to ask is, if in the near future, can Google One "Google AI Pro" subscribers have higher limits than what is offered for free users?
Looks like I just inadvertently skipped to level 4 every workday, due to working inside of a restricted area with lots of proprietary industrial stuff.
Yeah, I also found dotted notebooks to be the sweet spot. It's cleaner than a lined or gridded notebooks and especially helpful if they're already numbered.
The tweaks they found in the article is basically a proto-version of the Bullet Journal but just with its index system.
Physical notebooks are nice but as I have to come to know throughout the years, they are also kind of "disposable" and cannot survive long-term if you have to do any amount of moving. You wish you could keep all of your journals/notebooks in an archive but seems infeasible when you don't have your own house or your house is just too small. The rising rent and house prices just makes this all the worse.
They're doing the Apple strategy. Less spotlight for other third parties, and less awareness how they're lagging behind so that those already ignorantly locked into OpenAI would not switch. But at this point why would anyone do that when switching costs are low?
In refining B52E21:51FC46 (Moonbeam) in 00h 00m 05s 578ms I have brought glory to the company.
Praise Kier.
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#mdrlumon #severance
lumon-industries.com
This is the whole main challenge of the quantified self movement all over again.
There's a lot of attempts to solve this problems but not much has been found, possibly because the whole setup of ELT processes is a lot of chores (just think about the whole inconsistent formats of data across services). It's like having a second job in data engineering, and I'm not even remotely in the software/data industry! I just like and do coding as a hobby.
I'm wary about adding chores to my life, that was something I mentioned in the article. I've been running the API crawler for a while now and, so far so good.
The quantified self movement is adjacent to this but not quite. If you are gathering data from a service with an API, this can grab that and you can work with it. I used to wear the Oura ring and now I have 2+ years of data sitting in JSON on my laptop that can be ported to anywhere. I'm not really looking to, like, optimize productivity or physical output or anything, I just want to have and work with data from services that make my life a little easier.
From what I read and experienced, it makes the size of the Git repository much bigger than it should be with how Git tries to keep copies of old binary files (specifically the data and hash) since it cannot diff those unlike plaintext. You eventually have cache of the old files in the repo if you're not deliberate with setting --depth when cloning.
> From what I read and experienced, it makes the size of the Git repository much bigger than it should be...
Of course, it's a trade-off, but how is that particular one more painful than being at the whims of (and paying for) a third-party provider for something as mundane as static image files?
