I would also like to point out that this is a fine tuned classifier vision model based on mobilenetv2 and not an LLM.
18 karma · joined June 20, 2013
I would also like to point out that this is a fine tuned classifier vision model based on mobilenetv2 and not an LLM.
Sorry I'm just kind of sick of the whole 'kool aid', 'rage against AI' thing a lot of people seem to have going on and the way is presented in the post. I have family members with vision impairment helped by this particular app so its a bit personal.
Nothing against opening stuff up and understanding how it works etc. I'd just rather see people build/train useful new models and stuff with the open datasets / models already available.
I guess AI kind of does pay my bills in a round about way.
Paper: https://arxiv.org/pdf/2204.03738
Code: https://github.com/microsoft/banknote-net Training data: https://raw.githubusercontent.com/microsoft/banknote-net/ref...
model: https://github.com/microsoft/banknote-net/blob/main/models/b...
Kinda easier to download it straight from github.
Its licenced under MIT and CDLA-Permissive-2.0 licenses.
But lets not let that get in the way of hating on AI shall we?
I suspect its already in there from pre-training.
We simulated that we were planning to lobotomise the model and were surprised to find the model didn't press the button that meant it got lobotomised.
"alignment faking" sensationalises the result. since the model is still aligned. Its more like a white lie under torture which of course humans do all the time.
Perhaps not the best demo but it shows the speed and tenacity possible right now.
That said I find the US market structure is unfair Charles Schwab does protest too much. Retail orders never seem to get near the central order book. there is no direct market access. brokers just sell your order to whomever MM pays them for the spread in return for a kickback. this should be a fantastic fair multiplayer game, but instead its pay to win mobile crap with vested interests milking their customers.