| Blog | http://quotenil.com |
| Github | https://github.com/melisgl |
| https://www.linkedin.com/in/melisgabor/ |
Finally uploaded "Adaptive Hashing: Faster Hash Functions with Fewer Collisions" to arXiv for better visibility:
https://arxiv.org/abs/2602.05925
I’ve polished the presentation, fixed typos, and moved to a more readable format than the original ACM version. #HashTables #DataStructures #CommonLisp
@aeryn_thrace When I argue for more reproducibility, meaningful review or more quality control in general, I get this pushback:
"The individual paper is not a complete product. The overall knowledge of the field is. Science is a noisy process that time smooths. If you want quality and filtering, you have to wait."
I think relying on time to such extent is inefficient, but it's hard to know how much quality control leads to the most efficient science. You seem to be arguing that we need more.
I want to be angry but I'm struggling to locate it today. Sadness, I can find.
I miss the kid from 15 years ago who was excited about the ways tech might make things better. That kid was pretty politically naive, but I miss the energy.
I've managed to steer clear of adtech, blockchains, and LLMs, but I probably need to start thinking about how to move towards work that aligns more with the future I want to build.
"Most scientists receive no tuition in scientific method, but those who have been instructed perform no better as scientists than those who have not. Of what other branch of learning can it be said that it gives its proficients no advantage; that it need not be taught or, if taught, need not be learned?"
Peter Medawar, Induction and Intuition in Scientific Thought
Brit
Nils M Holm
Daniel Kochmański