Jons Mostovojs @jonn@social.doma.dev

Incidentally, it’s worth noting that Twitter significantly imploded during this time.

Thankfully, my spouse @DavidLowry suggested starting an account on a decentralized network called #Mastodon. A handful of months later, I’m still here & delighted to be part of this kinder & more thoughtful community with you. /2

Best naming ever

@jonn @roberth the punchline is that in 2023 we still don’t have a messaging service that doesn’t suck donkey balls, despite internet messaging being close to 40 years old now.

@jonn

I actually found communities to be very weird there. There are many communities on #Matrix for specific apps and services like #Linux and specific one for things like #Ubuntu, but you just don't get responses, but then when one of the popular guys post everyone respond.

So, I find myself lurking more and not interacting as much. #Maston was a lot more inviting and felt at home immediately in all of the existing communities.

Maybe just my experience. That's why I mostly use it for individual one-on-one conversations.

#Element #Matrix

How to prevent LGBT people from entering into your oh-so-friendly (but not to LGBT) and oh-so-welcoming-all-differences (but not LGBT), "no longer fear the opinion of others" (unless you're LGBT), "love yourself as you are" (unless you're LGBT), "respect the others" (unless they're LGBT), "class differences are forgotten and we live in harmony, with serenity and liberty" (except for LGBT) establishment in a country where discrimination against LGBT is illegal?
It's very simple! Instead of introducing any anti-harassment policies preventing harassment of people for not being cishet, say that "no dubious attitudes likely to disturb children" are allowed and that violators will be removed. Queerphobic parents "oh no, my kid just learned that not everybody are cishet" will do your work for you!

I knew that even in "progressive" countries trans people are not allowed into gender-segregated spaces. But learning that LGBT people are not allowed into ordinary non-segregated places, in fucking 2023, in fucking Western Europe, is something new.

Today the fundraiser for #medevac for #UAF is going strong, but we still need $3300.

@virtulis asked to include a way to transfer funds from within #Ukraine, here it is:

https://send.monobank.ua/jar/77a7yV4zG3

PayPal: belandavaha@gmail.com

If you want to donate in EUR: UA793220010000026207335419863

In USD: UA493808050000000262025459354

Name: Haiduk Vasyl

Address: 28142, Ukraine, reg. Kirovohradska, district Kompaniivskyim village Harmanivka, st. Molodizhna, build. 1.

“#ChatGPT can pass exams that a majority of students can't"

i think this says more about how our education relies on non-introspective reproduction of information than it says about the future of computing

like, it just shows that our education systems are incompatible with actual humans when a computer is better at it?

Systematical indoctrination of young kids in Russia. Hate is planted in their brain at an early age.

"A Kokhol is more stupid than a crow, but more cunning than a devil."

Khokhol is an ethnic slur used by Russians to make Ukrainians seem subhuman or stupid.

Looks like @TheTweedmeister has delivered again with more goodies for the #Liminal #ttrpg arriving today via All Rolled Up.

What does feel realistic is training these models to be MUCH better at providing useful indications as to their confidence levels

The impact of these problems could be greatly reduced if we could counteract the incredibly convincing way that these confabulations are presented somehow

I also think there's a lot of room for improvement here in terms of the way the UI is presented, independent of the models themselves

I agree that confabulation/hallucination/lying is a huge problem with LLMs like ChatGPT, Bard etc

But I think a lot of people are underestimating how difficult it is to establish "truth" around most topics

High quality news publications have journalists, editors and fact checkers with robust editorial processes... and errors still frequently slip through

Expecting a LLM to perfectly automate that fact checking process just doesn't seem realistic to me