They claim OOM faster learning, and robustness acro domains. There's enough detail to probably do your own PuTorch implementation, though they haven't released code. The paper has been accepted into AMLDS2025. So peer reviewed.
At first blush, this sounds really exciting and if results hold up and are replicated, it could be huge.
https://arxiv.org/pdf/2305.10449
And this paper in an IEEE journal:
The author is clearly a crackpot. Maybe he wasn't a crackpot when he still managed to publish in peer-reviewed journals, but cognitive decline over time is not exactly unheard of.
Ketamine is all you need
Well, okay, for better historical accuracy, replace APL with API, and the kernel for arm64 thing with Ruby on Rails on a new Macbook, but the point still stands.
No opinion on this submission, but a more general point. I'm not the one to jump into anthropomorphizing computers, but last year or two of LLM and adjacent research is a constant stream of papers and experiments that totally surprise everyone who refuse to even entertain comparisons between LLMs and people, while being entirely expected and completely not surprising to those who do.
Also
> Competing interests: AA has a provisional patent application for the algorithm used in this paper.
quinnjh•1d ago