Ich habe die nach dem Design bei Flyeralarm Drucken lassen. Relativ günstig, auf Rolle, optional auch für Etiketten Pistolen ;)

Ich habe die nach dem Design bei Flyeralarm Drucken lassen. Relativ günstig, auf Rolle, optional auch für Etiketten Pistolen ;)

Natürlich habe ich die SVG noch. Hier bitte. Link expired bald, aber feel free to share.

Hübsch!

Lustiger Fakt: ich habe das nur auf lemmy gepostet. Den restlichen Weg hat es von alleine gefunden ¯\_(ツ)_/¯

Oh boy, I was confused. Sry, mixed up the comment and the post itself …

Nothing said

I don’t get it. This is a community Action, executed by a Moderator of the community and, based on the rules of the community and the Post content completely legit.

So, wehre does this proof anything besides an obvious Bias.

This waters done the highly appropriate criticism of .ml

Just to understand your point here:

Rule 1 only allows links to “real news sources”

The source is the personal blog of an canadian author.

Is your criticism just about the Action they took or in general for taking Action here?

Zu diesem relativ neuen Modell gibt es noch nichts besseres. Aber hier zwei spannende Projekte:

• https://www.technologyreview.com/2023/02/15/1067904/ai-automation-drug-development/
• https://med.stanford.edu/news/all-news/2024/03/ai-drug-development.html

Gerade das zweite finde ich spannend weil hier gezielt auf die Halluzinationen der AI gesetzt wird.

Klar, irgendwann wäre man an den Punkt gekommen. Aber dass das Model in die richtige Richtung zeigt spart Zeit, Geld, und wer weiß was das Ding noch alles findet.

Das ist ein guter usecase. Selbes passiert aktuell in der Material Forschung.

Die KI spukt Kandidaten aus, Wissenschaftler prüfen

Ich gebe dir Recht, spreche aber nicht von dieser Art der Daten. Keine Akutmedizin, Forschung. Und da wird es zur Zeit mit ersten Erfolgen eingesetzt: https://www.drugtargetreview.com/news/156022/ai-identifies-life-saving-treatment-for-rare-castlemans-disease/

KI kann sehr hilfreich sein. Vorausgesetzt man setzt sie richtig ein. Eine KI auf medizinische Daten zu trainieren z.B…

Aber: das was wir als KI vorgesetzt bekommen ist tatsächlich nur ein Klimawandelbeschleuniger.

Stimmt, aber Land gehört zu jemandem. See nicht. Wie gesagt. Wild guess

Wild guess: ne europäische starlink Konkurrenz kamm Internet auf hoher See bereit stellen?

Maybe, but there is the internal buffer. Also, most I/O happens in files not consoles

std::endl is used in output streams in C++ to end the line, using the os specific line termination sequence, and flush the buffer.

The later one is a performance issue in many cases, why the use of "\n" is considered preferred

Just to make this clear R290 is also known as propane.

But, it is true https://www.dw.com/en/gender-identity-law-passes-in-german-parliament/a-68800054

Welcome to the fediverse.

So, I wonder what happens if we add an option for every single one of those tasks in the UI? O right!

msvc.exe is calling!

We know a view things about xAI and their models. First of all, they use reinforcement training. While they could finetune Grok to speak more favorable about Musk, it is highly unlikely they succeed. Grok is most likely trained on a sheer amount of tweets. As Musk is a prominent person on X, i think the only way to remove any potential bias against Musk is to re-train with a fresh set and without Musk. But then they lose all the finetuning done.

Now it gets very theoretical:

Lets assume they used RLHF to finetune Grok in a way, that is speak more favorable about Musk. It’s possible, in theory, that the model has internally detected significant statistical anomalies (e.g., very strong negative signals intentionally added in reinforcement training to “protect” Musk from negative commentary) and spontaneously surfaced these findings in its natural pattern generation. After all, it is designed to interact with users, and to us online resources to deliver answers.

Combine this with the training data (X), and the most likely biased RLHF to make Grok sound like the “normal” X user (jump to conclusions fast, be edgy, …), we could see such a prompt.

There are even papers about this:

• https://assets.anthropic.com/m/983c85a201a962f/original/Alignment-Faking-in-Large-Language-Models-full-paper.pdf
• https://openreview.net/forum?id=eb5pkwIB5i

Of course, this is not self-awareness or stuff like this. But it is an interesting theory.

I apologize for the confusing, shortened answer, i wrote from my phone ;)

EDIT: Interessting fact: There is an effect called “Grokking”: https://arxiv.org/html/2502.01774v1