this post was submitted on 04 Jul 2026
106 points (99.1% liked)
Linux
14222 readers
798 users here now
A community for everything relating to the GNU/Linux operating system (except the memes!)
Also, check out:
Original icon base courtesy of lewing@isc.tamu.edu and The GIMP
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Remember several comments ago when I said it cannot get above 94% with approaching infinite power, compute time, and data? 5% is 1 in 20. SMH.
That number is based on the OpenAI and DeepMind papers on AI Scaling Laws which predicted the performance of every model in the last 6 years.
Those papers are based on dense model architecture. The MoE architecture that I mentioned a few comments ago, does not follow the same laws. Architectural changes could push us past the wall.
Not to mention if we reach 90% accuracy (which was defined in those papers to be AGI level), there's no reason we will need to keep making new models and training them. AGI is good enough. After that we improve inference performance and bring inference cost down.
Hallucinating 1 in 10 fractions of a statement is not AGI by how anybody with half a brain defines it.
A statistical model hallucinating 1 in 1000 isn't even AGI.
AGI is the capability to solve a riddle without being trained on infinite copies of the same riddle, which these machines guessing the next word in a seque have never shown any capacity for.
I know humans that hallucinate more