schleuss.online is one of the many independent Mastodon servers you can use to participate in the fediverse.
This instance has a focus on IT security, general computing, retro video games and game collector discussion. Please, no #NSFW and other 18+ discussion on this instance. See rules for more details

Server stats:

11
active users

#data

1 post1 participant0 posts today
Replied in thread

'Data Poisoning' kannte ich noch nicht. Gibts schon digitale Freiheitskämpfer die das gegen LLM einsetzen? Bzw. braucht es die ja gar nicht, geschieht ja auch so systemimmanent schon.

Gibts eine Bezeichnung (Wort) für ein sich selbst zerstörendes System? (So wie bei Kapitalismus z.B.)

KI = Kranke Informationstechnologie 🙃
AI = Anfällige Informationstechnologie 🤔

#llm#ki#ai

Dans cette étude menée par @bufferapp sur 18 MILLIONS de posts sur X/Twitter, la conclusion est claire et nette : si vous ne payez pas, vous n'existez pas. Si vous payez, vous n'existez pas non plus ! Sauf si vous avez l'abo le + cher et là, les bots vous ciblent directement, alors vous avez de "l'engagement" 👍

Twitter était incroyable, fut un temps. Il a donné des carrières à beaucoup de monde, including me. Ce temps-là est hélas révolu depuis longtemps sauf si vous cherchez un taff de chroniqueur sur CNEWS.

Thought for the day:

We used to measure data centres in how many rack units of capacity they had - e.g. this data centre has 5000 rack unit equivalent capacity. This is a measure of physical capacity.

Then we measure data centres in TFLOPS - how many trillions of floating point operations they could perform. This is a measure of computational capacity.

Now we measure data centres in Gigawatts - how much power they consume. This is a measure of power consumption, not physical space or output.

What *should* we measure data centres in? Gigalitres of water consumed? Households disrupted by their construction?

So…MIT has an AI incident tracker. It tracks and classifies the damage AI has done and harm it has caused. The classification is defined by seven key categories:

Discrimination/toxicity
Privacy/security
Misinformation
Malicious actors
HCI
Socioeconomic/environmental
System safety/failures/limitations

Tracked by AI. 😂

airisk.mit.edu/ai-incident-tra

airisk.mit.eduMIT AI Incident TrackerThe MIT AI Incident Tracker project classifies real-world, reported incidents by risk domain, causal factors, and harm caused.

From the BBC: "YouTube made AI enhancements to videos without telling users or asking permission. As AI quietly mediates our world, what happens to our shared connection with real life?"

As a scientist, this is extremely disturbing. The day-to-day tools that we use to collect and share information are being subtly corrupted by manufacturers who are more concerned with marketing than science. We now have to worry about another layer of integrity checks.

bbc.com/future/article/2025082

An illustration of a woman's face being altered and skewed by-the-pixel on a YouTube video (Credit: Illustration by Serenity Strull/ Getty Images)
BBC · YouTube secretly used AI to edit people's videos. The results could bend realityBy Thomas Germain

Surprised to see a #Python package on #pip called deutschland. Apparently, there is a #Deutschland API (#Germany API), which facilitates standardized access to various #public services of the #German government.

I wasn't even aware of the many public interfaces that the government and public services provide.

Kudos!

Die wichtigsten APIs Deutschlands in einem Python Paket. - bundesAPI/deutschland
GitHubGitHub - bundesAPI/deutschland: Die wichtigsten APIs Deutschlands in einem Python Paket.Die wichtigsten APIs Deutschlands in einem Python Paket. - bundesAPI/deutschland