this post was submitted on 02 Feb 2025
5 points (85.7% liked)

Künstliche Intelligenz

112 readers
1 users here now

Community für Austausch zum Thema Künstliche Intelligenz.

#ai #ki #artificial-intelligence

Wikipedia: "Künstliche Intelligenz (KI), auch artifizielle Intelligenz (AI), englisch artificial intelligence, ist ein Teilgebiet der Informatik, das sich mit der Automatisierung intelligenten Verhaltens und dem maschinellen Lernen befasst. Der Begriff ist schwierig zu definieren, da es bereits an einer genauen Definition von Intelligenz mangelt. "

Anwendungen:

Verwandte Communities:

IT Communities:

Netiquette wird vorausgesetzt. Gepflegt wird ein respektvoller Umgang - ohne Hass, Hetze, Diskriminierung.

Bitte beachtet die Regeln von Feddit.org.

Attribution

  • Das Banner zeigt ein Symbolbild für Künstliche Intelligenz. Image by Gerd Altmann on Pixabay
  • Das Icon zeigt ein von marv99 mit Image Creator erzeugtes Logo.

founded 7 months ago
MODERATORS
top 2 comments
sorted by: hot top controversial new old
[–] ChowJeeBai 1 points 2 weeks ago

So now they're awash with money, and this has become the topic DU jour, is that why they're now pivoting to the 3 pillars of ai thing? I.e. reasoning, planning and external control?

[–] chaitae3 1 points 2 weeks ago

Tom Goldstein, a computer scientist at the University of Maryland, and his colleagues added a twist to how they presented numbers to a transformer that was being trained to add, by embedding extra “positional” information in each digit. As a result, the model could be trained on 20-digit numbers and still reliably (with 98% accuracy) add 100-digit numbers, whereas a model trained without the extra positional embedding was only about 3% accurate.

So they had an idea on how to fix a completely dysfunctional method and their result is, that a computing task that we can perform automatically and with 100% accuracy for 80 years or so, using a different and well understood method, can now be done at much higher energy costs using said inadequate method with 98% accuracy.

Why are these people still receiving research money?