Tux Racer go brrrr

As an interviewer, I think that certs are only useful if you take the test with a different company than you studied with. So I don’t think I’d care if you have a coursera cert, because I’d assume it just meant you finished the course that you paid for.

It’s worth noting that some coursera courses are created and maintained by actually accredited institutions, and some courses qualify as college credit with ACE accreditation. Also, many tech certifications host their courses on coursera too, like microsoft has official azure cert courses on there.

That doesn’t necessarily mean anything for any given random cert, though, because that means that the entire site is a pretty big grab bag in terms of the usefulness of their certs.

However, if you ask me to pick one specific project, I get overwhelmed because I don’t know what’s reasonable.

I don’t know enough to know if my ideas are achievable, or if I’d just be bashing my head against the wall. I don’t know if they’re laughably simple tasks, multimillion-dollar propositions, or Goldilocks ideas that would be perfect to learn a coding language.

List out some ideas you’re thinking of. While it may not be obvious to you, someone who is seasoned (me or someone else) might notice at least a general theme or idea to point you in the right direction for where you should go and what you should learn, regardless of if the projects are reasonable.

Note - Most projects take teams to realize, so if your ideas are too large, they might not generally be feasible alone.

What are you looking to actually do with your programming skills? That will heavily influence which languages to recommend you learn. Do you want to make websites? build games? do AI stuff? Create enterprise-level software? something else?

MinuteFood on youtube did a video just yesterday talking about the science of cast iron, and why they’re not dirty like many people seem to think.

https://youtu.be/w0R1jVN3LaY?si=HguOYRn19Hn6HyP6

Running arr services on a proxmox cluster to download to a device on the same network. I don’t think there would be any problems but wanted to see what changes need to be done.

I’m essentially doing this with my set up. I have a box running proxmox and a separate networked nas device. There aren’t really any changes, per se, other than pointing the *arr installs at the correct mounts. One thing to make note of, i would make sure that your download, processing, and final locations are all within the same mount point, so that you can take advantage of atomic moves.

You’re talking about XMPP, and it was google with google chat that people refer to with it.

That said, there’s a lot of details that story people throw around about google killing it that lacks some details. Specifically that the premier service that used and developed the standard, jabber, was acquired by cisco like 8 years before google supposedly killed it, which i would argue affected it far harder than google chat did.

It’s also lacking a lot of modern features that were becoming staple around the time that it was killed; i.e. QoS, assured delivery, read receipts, and a few other things. I still don’t think the protocol supports them.

Also, the protocol still exists and is used. It’s used by microsoft in skype for business, it’s also the IM protocol for lots of gaming platforms like origin, playstation, the switch (for its push notifications for their online service), League of legends, fortnite, and others. It’s still a reasonably popular standard when it comes to chat programs, though none of them that i’m aware of use the actual federation piece of it to talk to each other.

While the tactic alluded to does exist (“embrace, extend, extinguish”), i’ve never been necessarily convinced that google “kiled” xmpp, as its been around a long time and continues to be for various reasons. Even with google chat, it was never a ‘front end’ thing many users even thought about, because it’s back end frameworks tech, and it continues to be so in lots of different places today. I’m reasonably sure that the people who get upset about it and proclaim google killed it are basically just upset that it didn’t become the defacto chat standard today, which i would argue almost nothing is the defacto standard anyways, unless you count discord which kinda came out of nowhere like a whirlwind and took over the chat space and has nothing to do with any XMPP drama.

Ultimately, its up to you (whoever is reading this) to look into the facts of the matter and decide for yourself if that’s what really happened, but keep in mind, the people who usually repeat the anecdote about how google killed it have an agenda to push. I’m personally skeptical, because there’s reasons for google to have dropped it (see mentioned limitations above), and even back then, it wasn’t that outrageously popular. In fact, i would argue its more widely used today than it was back then, but i have no hard numbers on that.

As of java 21, you can actually just use:

void main()

You’d hear the roar of the baseball cards in their tire spokes long before you see the bicycle horde coming over the sand dune.

isnt that basically what government contracts are? subscriptions?

$200k divided by $5 is 40,000 sales. You aren’t likely to have 500k installs from 40,000 sales…

I have mediacom as well, but in a larger city of the midwest. They have datacaps here too, and i was paying about $100 for exactly this same plan up until a couple years ago. They started upgrading our speeds/caps because a new fiber company (metronet) is building in the area. Now i’m on 1 gbps down and a 4 TB cap. I still plan to switch to metronet when they finally light up my area, as its cheaper for the same speeds (plus no data caps)

Second (or i guess, like, 4th?) jets. I almost always try to order a pizza from there when i’m in town.

Even more frustrating when you realize, and feel free to correct me if I’m wrong, these new “AI” programs and LLMs aren’t really novel in terms of theoretical approach: the real revolution is the amount of computing power and data to throw at them.

This is 100% true. LLMs, neural networks, markov chains, gradient descent, etc. etc. on down the line is nothing particularly new. They’ve collectively been studied academically for 30+ years. It’s only recently that we’ve been able to throw huge amounts of data, computing capacity, and time to tweak said models to achieve results unthinkable 10-ish years ago.

There have been efficiencies, breakthroughs, tweaks, and changes over this time too, but that’s just to be expected. But largely its just sheer raw size/scale that’s just been achievable recently.

I’m not sure what you’re trying to say here; LLMs are absolutely under the umbrella of AI, they are 100% a form of AI. They are not AGI/STRONG AI, but they are absolutely a form of AI. There’s no “reframing” necessary.

No matter how you frame it, though, there’s always going to be a battle between the entities that want to use a large amount of data for profit (corporations) and the people who produce said content.

I’d love the second option, utilizing SSO so that I can effectively have the same account over different protocols/instances. I feel like that’s far down the wish list overall of what we’ll see coming though.