
Oof this is too accurate
Aspiring polymath. Applied R&D @ Privacy and Scaling Explorations #maker #Ethereum🦇🔊🐼🐍🟨🦀 Trying to make the internet better. Opinions are my own and subject to change
Oof this is too accurate
I’ve never done dev for apple stuff, but I think it’s probably just not that friendly with more open/cross platform frameworks
Ya I don’t think it’s supported on the apple tv app. Damn.
Damn ok that sucks it doesn’t seem available on the client for apple tv.
Maybe, i haven’t seen it yet though
The only feature I want that jellyfin doesn’t have (or I haven’t found it) is shuffle. Throwing on how it’s made or mythbusters on shuffle is great background stuff.
I heard they got upgraded to DSL
Feel ya on that energy part
How much ewaste has Microsoft caused just by wanting to sell more copies of the next version of windows.
Let’s do it
Integrity of the model, inputs, and outputs, but with the potential to hide either the inputs or the model and maintain verifiability.
Definitely not reasoning, that’s a whole can of worms.
Zk in this context allows someone to be able to thoroughly test a model and publish the results with proof that the same model was used.
Blockchain for zk-ml is actually a great use case for 2 reasons:
Ahh, ya, so this is a deep rabbit hole but I will try to explain best I can.
Zero knowledge is a cryptographic way of proving that some computation was done correctly. This allows you to “hide” some inputs if you want.
In the context of the “ezkl” library, this allows someone to train a model and publicly commit to it by posting a hash of the model somewhere, and someone else can run inference on that model, and what comes out is the hash of the model and the output of the inference along with a cryptographic “proof” that anyone can verify that the computation was indeed done with that model and the result was correct, but the person running the inference could hide the input.
Or let’s say you have a competition for whoever can train the best classifier for some specific task. I could train a model and when I run it the test set inputs could be public, and I could “hide” the model but the zk computation would still reveal the hash of the model. So let’s say I won this competition, I could at the end reveal the model that I tried, and anyone would be able to check that the model I revealed and the model that was ran that beat everyone else was in fact the same model.
The model that is doing the inference is committed to before hand (it’s hashed) so you can’t lie about what model produced the inference. That is how ezkl, the underlying library, works.
I know a lot of people in this cryptography space, and there are definitely scammers across the general “crypto space”, but in the actual cryptography space most people are driven by curiosity or ideology.
Most of the people that I know that make decent money don’t use the service, but the people that work at restaurants or do gig work occasionally do… I don’t understand
Try endeavoros, it’s an opinionated arch with a simple installer
Same, I’ve got a modded 2080ti with 22gb of vram running deepseek 32b and it’s great… But it’s an old card, and with it being modded idk what the life expectancy is.
If AMD was smart they would release an upper-mid range card with like 40+ gb of vram. Doesn’t event have to be their high end card, people wanting to do local/self serve AI stuff would swarm on those.
It’s that advertising money… Ads should be heavily regulated and taxed
This is why: https://digialps.com/claude-for-education-transforming-higher-learning-with-ai/