April 2, 2024, 6:37 p.m. | /u/mal_mal_mal

Deep Learning www.reddit.com

i feel like AI (ML/DL algorithms) are not very reliable to use to solve real world problems and it is not because of not having enough data, compute power or whatever. i feel like DL algorithms are inherently not very reliable because of stochastic nature of parameter initialization, backpropagation, hidden layers, non interpretability of the output, inherent bias in the data, and I haven't even started on the legal part of collecting data. I know that the world is going …

algorithms bubble compute data deeplearning hype nature power solve stochastic vibes world

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US