Too bad you couldn’t copy it over with low-speed dubbing.

me_irl

literally no one cares.

Manly men with lungs and ego so delicate that a wearing a mask would literally kill them.

TIL the labia is fucked out of the woman. Science is fascinating.

this is only true when coming from the right. sorry, I don’t write the facts, I just know them.

No, it’s called lobbying and you should oppose it.

Thank you. I’m cured.

Shabydes Desbyign

I think i went to high school with her.

No one cares bro

But if it breaks can I send it into xyz computer repair? They only fix windows machines.

BEAREA

Gang, I hate to tell you this but this is what we mean when we say “you are the product” especially with free offerings.

But if you hate that I have a worse thing to introduce you to: the internet. If you respond to this comment, or any comment on any lemmy instance or other federated service or website or blog… your words can be consumed, copied and used to train whatever anyone wants. It is trivially easy to create web scrapers with just a bit of coding knowledge. These days it’s pretty easy to then use that data to train AI models. To a computer, it’s just data.

Grammarly is a product where you give it bad grammar and it gives you good grammar. Grammarly, like many products, gets better over time when it can understand what went wrong so its teams can make it right. This can often include any text entered into the program. I don’t know the specifics but they should be outlined in the privacy policy. A company using data it already has to train AI makes sense, especially if it anonymizes that data. It may not be ethical given that users weren’t aware of AI at the time they accepted the privacy policy, but with american capitalism a company can change a privacy policy and you can opt out if you don’t like it.

That’s why we all have lawyers on retainer to read and translate all privacy policies for all websites and applications we interact with in a daily basis. Right? That’s normal, right?

I will say, could this support person have meant that an organization with 500+ employees get a custom AI model trained on only the organization’s 500+ accounts? Because that would be better, and likely more ethical too.

If that’s not the case and any content you have put into grammarly is being used to train AI, then I guess it’s time to stop using grammarly then huh? But it’s also time to stop posting anything on the web, too. Oh, and don’t publish anything, ever.

Or, you could go with the flow. This data is mixed with millions of other accounts… sort of like what happened when chatgpt trained on anything you’ve already put out there. The only real concern I could see is if you discussed a very specific thing or invented your own personal coded style of writing and used it so much that, among the millions of other users, dominated the corpus and skewed the training model. Say there are only 5 grammarly users and you are number 5… you keep talking about “procorpia” being “mass sledge”, generating hundreds of entries with thousands of tokens “words”. By contrast let’s say the other 4 grammarly users only used it a few times a month to send short emails. Now, after training, the 6th grammarly user mispells a word as “procorpia” and grammarly generares “procorpia is totes mass sledge brah”. Suddenly, your secret is out.

If, on the other hand you speak the same broken english as the rest of us, you are probably fine.

They were down but aren’t. This is going to happen from time to time for reasons, but most importantly (and this is not an advert or endorsement for centralized services like reddit):

• these instances are run by small teams, maybe even one person per instance. By “run by” I mean the admins who can actually host and support the hosting environment of the instance, not moderators though that’s an important task too.
• At reddit or other for-profit companies, multiple teams of people monitor multiple data centers worth of servers, have 24/7 tech support crew, dashboards, alarms, alerts, escallation proceedures drafted by other teams, people they can escallate problems to including usually a decent sized team at the physical datacenter due to the amount of servers they buy because of what they can afford based off advertising income because the site is popular enough, which is why it’s much more rare to see these services go down.

But so many things can and do fail, including:

• updates (dependencies, breaking updates, “this should just have worked but it didn’t, why?!”)
• server issues (too many memes and now the disk has runeth over)
• one server that gets overloaded or is in a data center that has a network failure, or a hardware failure on the server where the virtual server is hosted
• account got hacked
• 0 day exploit targeted directly at this server
• DoS or DDoS attack
• Admin has a day job that they need to do to keep the lights on at home and at the lemmy instance and has to do their day job work.

Speaking from experience, but not with lemmy in particular.

TempleOS