this post was submitted on 25 Nov 2023
1 points (100.0% liked)
Machine Learning
1 readers
1 users here now
Community Rules:
- Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
- Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
- Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
- Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Actually, the claim that "all ML models are doing is statistics" has proven to be a fallacy that dominated the field of AI for a long time.
See this video for instance, where Ilya (probably the #1 AI researcher in the world currently) explains how GPT is much more than statistics, it is more akin to "compression" and that can lead to intelligence: https://www.youtube.com/watch?v=GI4Tpi48DlA (4.30 - 7.30)