Huh. It's displayed taking up three cells in my terminal, but laid out as if its width were one cell. Irritating. I wonder if there are any other grapheme clusters that don't properly fit in two cells?
I used something like this tool to create 10 different fonts of my handwriting. Then I wrote scripts to randomize which font was used for each character, ensuring that no word had that same variant of a single letter. It worked incredibly well for a personalized printed mail campaign. It really did look hand written.
edit: basically what DANmode replied to the same parent. I did this 10 years ago while running for political office.
For some of us, the world has already changed drastically. I am shipping more code, better code, less buggy code WAY faster than ever before. Big systemic changes for the better to our infra as well. There are days where I easily do 2 weeks worth of my best work ever.
I totally understand that not everyone is having that experience. And yet until people live it, it seems they just discount the experience others are having.
>I am shipping more code, better code, less buggy code WAY faster than ever before.
It's clearly relative. For all we know you're a crap coder and AI is now your crutch. We have no evidence that with AI you are as good as an average developer with a fair amount of experience. And even if you do have a fair amount of experience, that doesn't mean you're a good coder.
Cool, and you're doing it on top of the single largest IP hijacking in the history of the world, a massive uptick in infra spend and energy burn to "just throw more compute" at it instead of figuring out how to throw "the right compute at it", cannibalization of the onboarding graduates, and losing having enough friction to keep you from running off after what's probably a bad idea on further analysis, because you can crank this out in a weekend. Last time somewhat did that, we got fucking JS. We still haven't rid ourselves of it.
I have a small-ish vertical SaaS that is used heavily by ~700 retail stores. I have enabled our customer success team to fix bugs using GitHub copilot. I approve the PRs, but they have fixed a surprising number of issues.
Sites like stackoverflow are inherently peer-reviewed, though; they've got a crowdsourced voting system and comments that accumulate over time. People test the ideas in question.
This whole "people are just as incorrect as LLMs" is a poor argument, because it compares the single human and the single LLM response in a vacuum. When you put enough humans together on the internet you usually get a more meaningful result.
When install Data Formulator locally, it's possible to connect DF to databases with connection parameters in UI. To add more data loaders, there is a common template.
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