This is a cool feature, given that ChatGPT introduced the group chats fairly recently (I am not sure about usage statistics), they could introduce this any day now. Perhaps, this will be very useful for Enterprise, but Enterprise could just use the ChatGPT Enterprise and fine tune a model on their data for their company.

How do you achieve the filtering? Do you have a specific number of reposts a company can make on the same job? Whats stopping them from posting another job?

That would be useful for testing MVPs with dummy data to see if they work. However, synthetic data is usually used when you derive new data from existing data, so the new data is called synthetic. From the README I didn't quite catch if that is the case here, but still useful.

Data privacy is going to become a luxury. This is why the mission of teams like DuckDuckGo, GrapheneOS and more, is so important

Actually a big part of my job is reading logs and finding errors in the logs. We need something in this space, probably open-source so it can be used by enterprises.

sadly, it doesn't render

Thanks a lot for taking the time to compile this. Maybe create something like a docs page that would make it easier to see the answer to the questions and self-host this with GitHub pages. You got a star from me though :D

We need an open-source non-profit alternative to GitHub to become mainstream. Something like Linux.

My 10 year old self would be all over those lessons. Currently I am studying Chinese, but I am wondering how much time does it take to finish the lessons. Also on the technical side, some parts of the website take a lot of time to load and clicking begin lessons on the home page gave me a "Failed to open page". I don't know if its because I am on Safari.

Might be getting hugged - some of the answers in the first chapter failed to load images, and then the second page failed to load.

This is a really neat page and, while I doubt I’ll ever get far into learning any of it, it’s really cool! For some reason I never stopped to wonder just how much we knew about hieroglyphs and assumed it wasn’t much, and I’m happily surprised!

If you're studying Chinese, maybe you realized that Chinese writing works in a very similar way.

It kinda is? Most Classical Chinese and Egyptian words follow the principle "deficient phonetic + semantic part", it's just that Chinese characters are split into neat squares because most Classical Chinese words are exactly one syllable long. But the general principle is similar enough.

Most of the apps that I use regularly fail at least once a day nowadays. I think this is a direct cause of putting AI code in production without reviewing/QA.

While I have no particular love for AI generated code, I think this has nothing to do with AI. Software has been unreliable for over a decade. Companies have been rushing out half baked products and performing continual patches for many years. And it's our fault because we have just come to accept it.

> Software has been unreliable for over a decade

The "over" deserves a lot of emphasis. To this day, I save my code at least once per line that I type because of the daily (sometimes hourly) full machine crashes I experienced in the 80s and 90s.

Same, I think I should just turn on autosave at this point to save my fingers

I have this fear autosave might corrupt the file by trying to save while the program has hung or whatever.

I don't remember which app made me think that. Maybe some old version of Matlab cleared unsaved files when hung and with autosave enabled.

The problem is human, not technical. Companies and managers need to start caring about the details instead of crossing items off a list. Until we see that culture shift in the industry, which might never happen, AI isn't going to help—if anything, it'll make the problem worse as devs rush to deliver on arbitrary deadlines.

Plus, if you are skipping tests or telling yourself, you wrote them when they don’t actually verify anything in the first place, then buying into a hype cycle of “the AI writes perfect code“ is unlikely to break the pattern

Well the reason I think it might be different is that I am noticing a material change in my behavior.

I have always cared a lot about quality and craftsmanship. Now when I am working and notice something wrong, I just fix it. I can code it entirely with AI in the time it would've take me to put it on an eternal backlog somewhere.

AI doesn't ever fix anything, it just breaks stuff and adds technical debt.