[HN Gopher] Trustworthy AI Without Trusted Data
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Trustworthy AI Without Trusted Data
Author : gnabgib
Score : 17 points
Date : 2025-04-10 19:24 UTC (3 hours ago)
(HTM) web link (actu.epfl.ch)
(TXT) w3m dump (actu.epfl.ch)
| dijksterhuis wrote:
| Link to the python library (link in the article is broken atm):
| https://byzfl.epfl.ch
|
| > ByzFL is a Python library for Byzantine-resilient Federated
| Learning. It is designed to be fully compatible with both PyTorch
| tensors and NumPy arrays, making it versatile for a wide range of
| machine learning workflows.
| antonkar wrote:
| Interesting, can be relevant: there is an idea for the unicorn AI
| safety startup to get currently almost 100% unprotected (from AI
| botnet) consumer GPUs into a cloud to get Google-level security
| (each GPU can bring you $30-1500 in profits per month, you can
| share it with the user, the user can play GPU game from any
| device, use any free or paid AI model, everything really becomes
| better, you can include a 5g modem), here's the full proposal
| (the author is probably dyslexic)
| https://melonusk.substack.com/p/notes-on-euto-principles-and...
| SubiculumCode wrote:
| I wonder, as AI becomes more and more complex and
| incomprehensible, and the risk of loss of control becomes greater
| and greater, that the solution will simply be two adversarial
| AI's, one which generates, the other to detect
| deception/misalignment, and that at some point, when things have
| become so advanced beyond comprehension, we just have to trust
| the ying yang balance of good vs evil AI gods. /s
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