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Comment Channel surfing... (Score 1) 50

I am old enough to remember channel surfing, and I remember perfectly clearly cycling through every channel looking for something and eventually giving up. At least now I can generally always find something in the genre I feel like to watch, it just might be something I've seen before. Back in the day the choice after going through every channel was to turn around and dig through VHS tapes, or switch to music... don't get me started on the hours I spent staring at my CD collection realizing I didn't have whatever I actually was looking for at the time. People love acting like not quite feeling like anything that's currently available is a new thing, but I'd be willing to bet it's something every single generation ever has gone through regularly.

Comment Re:How about using AI to generate QUALITY CONTENT (Score 1) 96

Admittedly, they've failed on the marketing on a lot of these. I couldn't do anything without seeing ads for Mario, but Elemental I literally didn't hear of until after it was already in theaters, and this is the first time I've heard of Ruby Gillman. Not to mention them desperate to rely on theaters, which at least in my area have been terrible for years (even pre Covid) and had caused many people to just wait until things come out for streaming or sale at home. Not that AI is going to fix any of these things, but they also need to put a lot more effort into showing off their original stories, instead of only marketing the rehashes.

Comment Re:Somewhat understandable (Score 1) 176

From your own comment:

In short, they are lazy and require monitoring.

And saying they don't use things like Jira is like holding up a company trying to use rocks to stick nails in boards because they won't use those new fangled hammers. Things like Jira aren't new, and more than one industry could be improved by adopting technology that solves these exact problems of "massive to-do lists" just fine. If work isn't breaking out well, then the tasks are too large.

Look, I've been working remotely for three decades now. I've got a pretty good handle on what it takes and how to manage and work with companies and employees both above and below me on the ladder. All these companies pushing for hybrid this or come back to office that are doing it because a whole lot of people simply don't want to learn new ways to them doing things. They can all be dragged into modern times or get out of the way and let the rest of the world move past them.

Comment Re:Somewhat understandable (Score 1) 176

Ticketing systems. Ticket goes in, work gets done, ticket gets closed. If someone isn't getting work done then their tickets aren't getting closed. If you feel they're not doing enough tickets, well assign more. If they aren't getting their tickets done consistently, talk to them or let them go. Problem solved. No where in any of this does it require constant monitoring.

It's like, tech has had a solution to this for decades, and the world has had to-do lists for millennia I imagine. Yet people still seemed shocked at how to use any of them.

Comment Re:Too complicated (Score 1) 32

I'd argue that it shouldn't be just size either.

For instance, for a long time movie studios, could not own movie theaters. The "Paramount Decrees" (which were removed in 2019 by the DOJ... so... fuck that) split Paramount into multiple companies. I'd argue though that a. those decrees were a good thing, and b. similar things should apply to tech companies. A company shouldn't make the hardware and sell commercial software for those devices. A company shouldn't own the OS and the store. A company shouldn't own the search and the video distribution company. No matter the size. Companies simply shouldn't be allowed to dip into every pie.

In fact I'd go a step further and say the boards of publicly held companies shouldn't consist of people who are also executives or on the boards at competitors or in companies that would be considered "antirust violations" if they were the same business.

Comment Advertising revenue (Score 1) 97

Them "winning" isn't really about who's in control of the subs, it's a competition only with themselves, they're only "winning" if this increased revenue and value. Which as far as I know anyone has yet to hear. Did it increase the number of people using the official app and seeing ads? Then it was a win. Did it increase the value going into the eventual IPO? Then it would be a win. Personally I'm not sure it actually managed either of those things, but I guess we'll find out eventually.

I know I for one canceled my reddit premium and haven't been back to the site since Apollo shut down, since I *despise* the official reddit app. So there's some revenue gone. Did enough new people sign up or switch to the official app to offset folks like me?

Comment Re:I 100% agree (Score 2) 207

Yeah, I've worked at home for the vast majority of almost 3 decades now. The people who couldn't understand how that could possibly work were 100% of the time people who also thought everyone at their office were their actual friends and built their entire social lives around those people.

Comment Stores still get surprised at ApplePay... (Score 1) 90

I've had more than one store who either didn't know they were able to take payments through things like ApplePay, or worse intentionally disabled it because "that new fangled stuff is scary" (or even credit cards themselves!), so ignoring all the other issues with using my palm or face exclusively, it won't matter, because if these stores won't accept any of the very many much more secure payment methods, what makes JPMorgan think any of them will accept something like this?

Comment Re:The naivety of this idiot. (Score 3) 150

This is it exactly. Will programming change? absolutely! Has it changed before? yep! The key is no matter how good this all gets for translating statements to machine language, you'll still need someone who can figure out what the managers meant to write those statements clearly enough for the "AI" to do the right thing. Heck it will even come with specific languages to write those statements in, so that there's no confusion on what is intended. Then of course you'll need people who speak those languages to the machine learning algorithms that generate the applications... we can call them, oh I don't know, programmers perhaps.

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