I’m utterly blessed because my personal area of coverage is in the hardware and storage systems (disks, RAID, filesystems, virtualization, etc.) so I am way more likely to interact with business users instead of individual home users, which is where the vast majority of the “I have XX decades of experience” types come from. They’re also generally a lot more willing to listen to me because if I’m talking to them it’s fair odds that they fucked up bad enough that they’re at risk of losing all their data, and that’s usually enough to get them to shut up.

But god, some of the tickets I’ve seen from other employees…

In my experience, any time someone mentions how many decades of experience they have in IT, it means they either:

• Think that clicking the Facebook button on their desktop and finding their Downloads folder qualifies as experience in IT

• Have decades of actual IT experience, but think everything still works like they did in the 90s. Yeah, maybe you were an IT expert at one point, but you never bothered to keep your skills fresh, you geezer.

In either case, they think they know better than the lowly flunkie trying to help them, and trying to get them to actually listen to you and “please sir just upload debug logs, I beg you, no those aren’t debug logs, I gave you the instructions to generate debug logs three times already, maybe things will be different after the fourth time, there’s a literal KB article with step by step instructions to sync your photo library, no I won’t call you to handhold you through this, I’d literally just be reading the steps in the article” is pure suffering.

my company announced today that they were going to start a phased rollout where AI would provide first responses to support tickets submitted by users, with it initially being “reviewed” by humans with the eventual goal being it just sending responses unsupervised. The strength of my "OH HELL NO" derailed the entire meeting for a solid 15 minutes lmao

At this rate we’re going to start getting memes about Lemmy reading comprehension lmao

Lmao, from an NPR article on the same topic:

They filed an affidavit from an insurance broker saying it is “not possible” to find a bond that big. The broker was an expert witness for Trump during the trial.

The trial judge already noted in his decision that this broker was a “close personal friend” of Trump’s and had a financial interest in the outcome. A decision could come from the appeals court later this week.

I’m sure the judge will give the broker’s opinion all the deference it’s due. /s

The problem is that there’s no incentive for employees to stay beyond a few years. Why spend months or years training someone if they leave after the second year?

But then you have to question why employees aren’t loyal any longer, and that’s because pensions and benefits have eroded, and your pay doesn’t keep up as you stay longer at a company. Why stay at a company for 20, 30, or 40 years when you can come out way ahead financially by hopping jobs every 2-4 years?

Basically, companies are required to pay for unemployment insurance that funds the government’s unemployment benefits system. If you lay someone off, the employee files for unemploent, and gets paid a portion of their weekly salary while they look for another job (the amount you get paid and whether there’s any additional requirements varies from state to state, with Democrat-controlled states usually being more generous, but generally you have to show you’re actively seeking a new job), and the employer pays a bigger unemployment insurance rate to compensate for the additional burden the former employee is now placing on the government benefits system.

However, if you’re fired for cause–say, you get caught stealing from the cash register–then the employer can contest your unemployment. If the employer can show you were fired for a good reason, the employee can be denied unemployment benefits, and the employer doesn’t have to pay extra unemployment insurance. This meeting is the company trying to cook up a justification for firing with cause, and the employee trying to get them to admit they’re just being laid off, because if the company admits during the exit interview that she’s just being laid off without cause, it’s nearly impossible to contest her unemployment benefits claim later.

It makes sense to judge how closely LLMs mimic human learning when people are using it as a defense to AI companies scraping copyrighted content, and making the claim that banning AI scraping is as nonsensical as banning human learning.

But when it’s pointed out that LLMs don’t learn very similarly to humans, and require scraping far more material than a human does, suddenly AIs shouldn’t be judged by human standards? I don’t know if it’s intentional on your part, but that’s a pretty classic example of a motte-and-bailey fallacy. You can’t have it both ways.

Who even knows? For whatever reason the board decided to keep quiet, didn’t elaborate on its reasoning, let Altman and his allies control the narrative, and rolled over when the employees inevitably revolted. All we have is speculation and unnamed “sources close to the matter,” which you may or may not find credible.

Even if the actual reasoning was absolutely justified–and knowing how much of a techbro Altman is (especially with his insanely creepy project to combine cryptocurrency with retina scans), I absolutely believe the speculation that the board felt Altman wasn’t trustworthy–they didn’t bother to actually tell anyone that reasoning, and clearly felt they could just weather the firestorm up until they realized it was too late and they’d already shot themselves in the foot.

…So your metric of “too much AI safety” is that it won’t let you fuck the fish…?

The speculation I heard in the Ars Technica article is that the board was unhappy with how quickly he was pushing to commercialize OpenAI, and they were wary about all the AI side hustles he was starting, including an AI chip company to compete with nvidia.

Theoretically yes, but pretty much every modern Linux installation has some guards built in to the rm command to prevent it from deleting everything. Adding the flag --no-preserve-root removes this and gives you the classic DFE experience. (even without the flag though rm -rf / will still majorly fuck up your system.)

Yeah, as someone in a tech job whose primary function is “parsing and interpreting logs” sometimes even the repeated flood of seemingly useless logs can be helpful. If nothing else, they explain why there aren’t any useful logs and that can guide how I respond to the problem.

First, it’s important to find an instance that caters to your interests, especially if you have more niche hobbies. Once you’re set up, search for and follow hashtags related to your personal interests, and use those to find accounts you like. Use hashtags in your own posts so that people can discover you more easily, and browse users that follow you to see if they’d be interesting to follow back and expand your network out. Keep an eye on the local and federated timeline for interesting posts, which includes all posts from people on the same instance and from all federated instances. Eventually, as you build up a follow list (and especially as you follow highly active accounts) your followed accounts will start introducing you to new accounts themselves through boosting posts.

It’s more work since you’re building the network yourself instead of having it spoon-fed to you by an algorithm, but it’s overall much more rewarding, and lets you tailor your experience to your own personal preferences.

Not OP, but I think the point they’re making is that LTT screwed up the video, and that the drama sparked from LTT’s screwup gave Billet a lot of publicity they wouldn’t have had otherwise.

Personally, I’d trade the publicity for my only working prototype and $2,000 GPU back and a video that didn’t shit on me, but if you believe any publicity is good publicity…

nah fuck that i’mma be unapologetically weird and scruffy

life’s too short to give a fuck

Oh, I agree overall. Long term, reddit is fucked with a capital F. But I think the goal right now is to put enough lipstick on the pig for the IPO, and then to immediately bail out and let the schmucks holding the bag clean up the mess. (The fact that there’s no real coming back from something like this, and even if there was any such theoretical recovery would take years and is prone to end up further sabotaging the website, is irrelevant.)

It drives active users and increases activity on the site. Reddit tracks site usage metrics, and active user count + engagement are two of the most important metrics, since more active users = more eyeballs on ads, and more engagement = more ads that can be placed in front of those eyeballs.

The fact that the majority of the new active users are bot accounts that can’t be advertised to is secondary, since the people who would invest in a reddit IPO wouldn’t typically look that deep, they’d just look at the top line metrics and go “oh, there’s a big bump on activity, this is a healthy website.”

Constantly backed up and slow moving?

I mean, even a cursory search on Google shows that smart TVs can gather a hell of a lot more data than just that, up to and including analyzing the actual video being displayed to figure out what you’re watching