

If God’s mind were a soup of linear algebra doing stupid number tricks, then sure (with the assumption we’re just talking about LLMs).
In reality, no.
Source: I study AI and work on it professionally.


If God’s mind were a soup of linear algebra doing stupid number tricks, then sure (with the assumption we’re just talking about LLMs).
In reality, no.
Source: I study AI and work on it professionally.


Everyone should have a strong base in STEM and the humanities. It irks me to no end when STEM majors can’t write, communicate, or understand a wider historical context just as it irks me when humanities majors claim to not understand basic algebra or scientific concepts. It’s fine to have a preference, but an expert engineer should have a passing familiarity with philosophy and ethics, just as a historian should have a passing familiarity with scientific laws and mathematics.
Then there’s business majors who have no familiarity with anything at all. If I had my druthers, “business school” wouldn’t even be an option at a university.


100% agreed. It should not be used as a replacement but rather as an augmentation to get the real benefits.


I study AI, and have developed plenty of software. LLMs are great for using unfamiliar libraries (with the docs open to validate), getting outlines of projects, and bouncing ideas for strategies. They aren’t detail oriented enough to write full applications or complicated scripts. In general, I like to think of an LLM as a junior developer to my senior developer. I will give it small, atomized tasks, and I’ll give its output a once over to check it with an eye to the details of implementation. It’s nice to get the boilerplate out of the way quickly.
Don’t get me wrong, LLMs are a huge advancement and unbelievably awesome for what they are. I think that they are one of the most important AI breakthroughs in the past five to ten years. But the AI hype train is misusing them, not understanding their capabilities and limitations, and casting their own wishes and desires onto a pile of linear algebra. Too often a tool (which is one of many) is being conflated with the one and only solution–a silver bullet–and it’s not.
This leads to my biggest fear for the AI field of Computer Science: reality won’t live up to the hype. When this inevitably happens, companies, CEOs, and normal people will sour on the entire field (which is already happening to some extent among workers). Even good uses of LLMs and other AI/ML use cases will be stopped and real academic research drying up.
Just from a quick look at https://fediverse.observer/, it looks like the Fediverse is mostly steady at 1-1.25 million monthly users (give or take) over the past two years with a slight decreasing trend. I think there are some reasons for this that are not entirely in our control.
There seems to be a global sentiment of disconnecting from social media and the internet in general. So, I wouldn’t be surprised if ever platform is seeing a decaying user base. Anecdotally, among the people I see in real life, there is a general sense of exhaustion with online spaces. Whether it’s from corporate-own, enshittified platforms to even places on the Fediverse, the people with whom I interact tend to find the entire thing hollow. They’ve trimmed down to one or two platforms (if that). In fact, I’ve even started to get that way. In the past, if someone were wrong and arguing against a point I made, I’d engage, especially if it’s in something that I have expertise. Now, why bother? There’s no use arguing; people have little interest in admitting fault or engaging in good faith (again anecdotally). That said, I’ll concede that the Fediverse is a bit better on that front, but not by much.
Then there’s the alternative nature of the Fediverse. It’s been rehashed over and over about how “difficult” it is to get on and use. It’s not actually that hard, but the barrier to entry is an extra step. That small extra step frightens people away from even joining. The only time that barrier gets broken is when a “legacy” social media platform does something anti-user. Then there is a refugee wave that comes in and goes out leading to a modest durable increase in users. Recently, there just hasn’t been a major controversy on a major platform that leads people here.
Now, my final thought on this is to ask: Is a small and steady-ish population (despite modest decay) actually bad? In my view, I don’t think it is. Being smaller and with a smallish barrier to entry means that we exclude a sizable number of the low-effort population. So, there’s less (no zero) slop here. Plus, discussions, when had in good faith, can be much deeper and less filled with stupid low-effort jokes. Overall, I’m not too concerned with the number of people on the Fediverse. Growth isn’t necessarily the best thing. Even so, with the way most mainstream platforms are going, it’s inevitable that they will do something stupid that drives more people to the Fediverse at least for a time.
TL;DR: The monthly population is mostly steady with a modest decay. Most social media is likely seeing similar trends. I don’t think the smaller userbase is that bad of a thing.


this “cameras for everything!” idiocy.
That’s why I’m so impressed with how well it’s actually working. When they get off that really weird self-imposed restriction, it could be an interesting technology.


Not great performance at all.
That’s better than I was expecting to be perfectly honest.
I’m pretty impressed with the technology, but clearly it’s not ready for field use.


It’s also not all-or-none. Someone who otherwise is really interested in learning the material may just skate through using AI in a class that is uninteresting to them but required. Or someone might have life come up with a particularly strict instructor who doesn’t accept late work, and using AI is just a means to not fall behind.
The ones who are running everything through an LLM are stupid and ultimately shooting themselves in the foot. The others may just be taking a shortcut through some busy work or ensuring a life event doesn’t tank their grade.


Not gonna lie, I don’t really blame the AI.


I see both points. You’re totally right that for a company, it’s just the result that matters. However, to Bradley’s, since he’s specifically talking about art direction, the journey is important in so much as getting a passable result. I’ve only dabbled with 2D and 3D art, but converting to 3D requires an understanding of the geometries of things and how they look from different angles. Some things look cool from one angle and really bad from another. Doing the real work allows you to figure that out and abandon a design before too much work is put in or modify it so it works better.
When it comes to software, though, I’m kinda on the fence. I like to use AI for small bits of code and knocking out boilerplate so that I can focus on making the “real” part of the code good. I hope the real, creative, and hard parts of a project aren’t being LLM’d away, but I wouldn’t be surprised if that’s a mandate from some MBA.


Yeah, it’s not technically impossible to stop web scrapers, but it’s difficult to have a lasting, effective solution. One easy way is to block their user-agent assuming the scraper uses an identifiable user-agent, but that can be easily circumvented. The also easy and somewhat more effective way is to block scrapers’ and caching services’ IP addresses, but that turns into a game of whack-a-mole. You could also have a paywall or login to view content and not approve a certain org, but that only will work for certain use cases, and that also is easy to circumvent. If stopping a single org’s scraping is the hill to die on, good luck.
That said, I’m all for fighting ICE, even if it’s futile. Just slowing them down and frustrating them is useful.


Rolling your own email is a pain. That said, I use a VPS and host my own server with domain name and site for $5/month. Setting it up was a pain, but once you get all the records right so you’re not considered spam, it works really well. That said, I haven’t done anything with webmail; I strictly use IMAP and SMTP.


Damn, don’t go giving them ideas!
But there are different types of temporary. Temporary because the code got updated/upgraded or new and better software got implemented feels fine. It feels like your work was part of the never ending march of technical progress. Temporary because it gets ripped out if favor of a different, inferior suite hits hard.
If my code gets superseded by someone else’s complete rewrite that is better, then I’m all for it. If my code gets thrown out because we’re switching to a different, inferior system that is completely incompatible with my work, then that just hits like a ton of bricks.


Same here. My desktop is in a controlled environment, so I don’t see a need. Plus, if I do have some sort of issue, I will still be able to access those files.
Since I actually take my laptop places, I have that encrypted for sure.


Congratulations! Enjoy the journey! You’ll look back in a few years and wonder how you ever managed with a Windows set up while you slip into the comfy-ness of your customized system.
And their web apps are nearly unusable (especially with Firefox and its variants)
Admittedly, I use LibreOffice, and it works for almost all of my needs. However, I’ve never encountered the above issue, and the web versions have worked for me on Firefox. What’s your particular issue? The solution could be pretty simple; I have my user-agent string reporting Windows, and I’ve never had an issue. Maybe worth a try?
Changing the user agent shouldn’t work, but there’s a stupid amount of times that it does, and so I’ve just kept it permanent.
I’ve found this to be the case a lot, too. I also spoof my OS because a lot of government sites will refuse to work unless it says Windows. It’s stupid, but here we are.
Yep, I also have a directory for my programming projects on each of my machines, but mine is
Programming. On my main desktop, I also have anISOsfolder to hold my OS ISOs for VMs and old CD-ROM game ISOs.