wait… why do you have so many regexes you need to put them in a database???
wait… why do you have so many regexes you need to put them in a database???
Still showing up for me in Mlem. I was wondering what had happened.
you’ve misunderstood what I’ve said, but whatever.
Sorry, jellyfin isn’t that much work. It’s maintaining the whole thing, radarr, sonarr, etc. all running on an unraid server that needs maintenance and upkeep. Just work.
I could have said unraid server I just thought more people would understand if I said jellyfin.
Keep in mind that none of this applies to stuff for my job. If I’m working on a problem for my company the risk/reward profile is completely different.
How I decide:
if it’s critical software I try to absolutely avoid anything that can be manipulated out of my control. That’s not always possible, or if it is, you have to make major concessions. An example is home automation software. Before I had learned these lessons I used samsung’s smartthings. ST enshittified almost immediately, because it was 1. built by samsung, 2. dependent on cloud services, 3. they removed capabilities from their API making the product worse than it was before. Home Assistant was coming on the scene right about then and I immediately switched. Home automation software is critical infrastructure, it should never be a cloud service (the point is literally local control, any company selling a cloud-only product for a local-only problem is a grift and will enshittify eventually). Switching off of Home Assistant is dead simple. None of my products in my house are HA products, they’re all their own brands, etc. The actions are all controlled by me, as long as a different system provides similar capability then the cost to switch has nothing to do with HA and only to do with the target system.
Compare that with something like Github. I paid for Github before it was free, because the features were worth it to me. I lose nothing by using a cloud service for Git, because it’s a DVCS. All my data is local to begin with, and Github provides me with things like 1. a community, 2. an account to contribute to others, 3. a hosting location for a portfolio, 4. free static website hosting. The cost to migrate off of Github has nothing to do with Github’s product and only to do with the community that uses Github.
You have to make this cost benefit analysis for everything in your life. Essentially, mine is completely based off of how much work it would be to move off of the product and if that work is worth it. Some things are worth it to self host, for example my jellyfin server is an absolute metric fuckton of work and costs a significant amount. But the alternative to that is paying for 15 different streaming services and still not having access to everything, and being screwed when those companies decide they’re not going to have a specific item anymore, or they’re going to charge for it, or they’re going to increase prices without improving the service. Some things are not worth it to self host, for example I pay for Obsidian because I wanted to use it and iOS sandbox doesn’t allow Obsidian to save to a dropbox folder. There are plenty of free alternatives, but I like Obsidian’s feature set and switching off it at a later point is easy, it’s all markdown files.
Tiny Pointers was the paper that the student read to get the idea. The paper he co-authored was “Optimal Bounds for Open Addressing Without Reordering”
the reason it confused me is because the college student was clearly using the algorithm to accomplish his task, not just theoretically designed. So it didn’t seem to be a small improvement that would only be noticeable in certain situations.
I’m not smart enough to understand the papers so that’s why I asked.
Yeah agreed. Just another piece of white devs acting like they knew better for everyone.
Hey. Been using it for years. It’s great
Uhhhhhhhhhh
This is incredible, but why does the article end by stating that this might not have any immediate applications? Shouldn’t this immediately result in more efficient hash tables in everyday programming languages?
It’s actually in practical engineering’s latest video. https://youtu.be/1ztGpGjO60o timestamp 6:40
It’s just an air vent.
It can be both. Steam wants their cut, but they also don’t want consumers seeing a free game on Steam, downloading it, and then complaining to Steam because it’s not actually free, it’s just riddled with ads.
In what way is the ioniq 5 not a station wagon. I haven’t even seen Hyundai call it a crossover. It’s incredibly low, it’s nowhere near the size of a crossover.
Beyoncé claimed to be “bringing back black country” when black country never went anywhere. It’s incredibly insulting to all of the other actual black country singers and artists. Also her album is just bad. Like literally terrible terrible music. It’s clearly just a cash grab.
Why were they holding it?
I’m very confused by this, I had the same discussion with my coworker. I understand what the benchmarks are saying about these models, but have any of y’all actually used deepseek? I’ve been running it since it came out and it hasn’t managed to solve a single problem yet (70b param model, I have downloaded the 600b param model but haven’t tested it yet). It essentially compares to gpt-3 for me, which only cost OpenAI like $4-9 million to train (can’t remember the exact number right now).
I just do not see the “efficiency” here.
Ummmmmmmm