656 karma · joined December 12, 2016
[username] at gmail dot com
We are working on a big upcoming manga-related software project, and seeking out developers who are interested in working in the following positions:
- Frontend Web Dev (mostly Vue)
- Backend Dev (Go, Typescript, Python etc.)
- App Dev (Flutter + FFI)
- Dev Ops (Bare metal & Nomad)
Previous experience working on manga, webtoon, or anime-related software is a plus, whether professionally or as a fan.This would be a full-time (contract, with exceptions), fully-remote position working at a fast pace to deliver a product that will be used by millions of manga fans around the world. If this sounds like something you'd be interested in, please email admin@epub.rocks
I've seen non-native English speakers (co-worker) use it to write lengthy apologies to customers, and I (native speaker) think it sounds over the top sincere and dramatic, especially when the same person tends to talk in a completely different manner.
I believe this story, because the customer in this case was satisfied too
And finally, how much longer will the HTTP "Accepts" header continue to get with these new formats?
The only way I'm able to use GA4 in any way is with their search box + autocomplete, you can sometimes get a decent query result, then you click the three dots next to the tiny line chart, export as CSV and you get the data.
And for events, I think they want you to pay for BigQuery, so you only get some kind of aggregate count, which is useless. It'a too confusing to figure out if I'm wrong about that.
For django itself, once I slapped a database caching layer on top and tuned gunicorn/uvicorn, there were no performance issues. Go is faster, but django is fast enough.
The part I was complaining about is narrowing down the pool in the first place, the pre-screening, the part you mention:
> Why can't employers look at the plethora of code-related stuff with my name attacked to it that's out there on the Internet [...]
You wish (and I wish). The answer is because everything that can be gamed will eventually be. Each time I'm hiring it gets worse. Examples:
- GitHub profiles are still a decent filtering system, but people have learned how to game that with hello world-esque repositories in the area of interest. So you have to take a really close look at the actual content of the repositories themselves. Sometimes they have complicated file structures, lots of files, commits etc., then you have to actually look at the code and find it's just a "baby's first app" copied from some tutorial on how to game GitHub repos for the interview. They also plaster their GitHub bio with all these stickers and icons and programming languages copied from some templates on how to make your GitHub look attractive.
- Resumes are getting to be worse, a certain class of people say they worked for 5 different Fortune 500 companies, thankfully they all use the same template so you can filter them out. Others just keep lying over and over or embellishing their experience so hard it's basically a lie. If you're trained at it, you can filter them out because you notice patterns, similarities etc. but if you're hiring for something that you don't have experience in then it's getting harder and harder to distinguish. Sadly it's caused me to automatically assuming someone from certain countries are BSing it if their resume sets off my BS meter in any way.
- I used to use Discord communities related to something I was hiring for with a #jobs channel (for example, Flutter), but those "gamers" have figured that out too, and now when you post there, you get a bunch of BS applicants. You can sometimes tell because they don't really bother setting a profile pic or anything for their Discord, so you know they probably just joined to game the system.
All in all, when the application process is over, I am ending up feeling more and more irritated at the amount of time I have wasted filtering and filtering and filtering.
If you want to compare HN to Discord, I would say that HN is like joining 500 Discord servers that together comprise the type of content discussed and posted about on HN, and every day checking each one's announcements channel, and skimming through general chats. But you still have the issue of being introduced to new topics, for example if you're interested in the AI trends then your selection of Discord servers that comprise what's posted on HN would be dramatically changing in the past few months.
It causes the quantization to process to always use the first part of the model if using a larger size than 7B. I don't even know what this stuff does, but I see the ggml-model-f16.bin files have ggml-model-f16.bin.X as well in the folder, so I'm pretty sure this is a mistake. Maybe it's causing the loss of accuracy?