91–100 of 123 posts
DALL-E 2 open source implementation - https://news.ycombinator.com/item?id=31228710 - May 2022 (152 comments)
Also:
X-Transformers: A fully-featured transformer with experimental features - https://news.ycombinator.com/item?id=27089208 - May 2021 (37 comments)
Text to Image Generation - https://news.ycombinator.com/item?id=26615791 - March 2021 (88 comments)
What is the reason Google published their research details about Imagen? Why don't they just keep their findings to themselfes and build products on top of them? Public companies can't do stuff just for the fun of it, right? So there must be some commercial reasoning behind it?
Good to see LucidRains get the love he (rightly) deserves. He's a beast! As a thank you to him -- he also does for work for commission/etc, check hus GitHub page for more info. I'm not fiscally or currently otherwise directly linked to him too closely, I've just hung around a while and think he deserves far more credit than he gets. This is literally the smallest piece of the pie of what the man does across several s…
What is the reason Google published their research details about Imagen? Why don't they just keep their findings to themselfes and build products on top of them? Public companies can't do stuff just for the fun of it, right? So there must be some commercial reasoning behind it?
Earlier quoted context omitted.
In some jurisdictions, deepfakes of any kind are treated as a form of defamation. In others, adult deepfakes specifically are illegal.
Which jurisdictions are those?
Keep in mind this is a country where if you leave a bad review after you get scammed by someone with evidence, it is defamation. So not quite leadership the world needs in this industry.
Really sad to see ppl on HN flagging all of my comments on this thread. I mean it's not like you can't find celebrity deepfakes including Kpop.
The cat is out of the bag and its only going to get better and faster from here whether some cultures/jurisdictions take offense or not.
Earlier quoted context omitted.
Which is why porn is such a great dataset for crowdsource: - lots of people are stimulated by it - lots of people want DALL-E-2 for porn - and lots of people are willing to work towards that common goal The beauty of this is that people are just going to keep coming and coming to it. Like I'm trying to be mature and serious about this. What's it going to take? - Community responsible for scraping dataset, generating…
You are going to need to figure out how to filter out copyrighted works and images for which you don't have permission (eg, someone uploading a picture of an ex partner).
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To run we must learn to walk first. To walk we must learn to be erect. To be erect we must master crawling. I don't think the leap is too crazy if we are talking short moving pictures without sound. However, when sound gets involved, this is where it would become very tricky.
"when sound gets involved, this is where it would become very tricky" I don't think a neural net would have much trouble generating moans in sync to the motion. Why pay humans for all that fake moaning when an AI could do it?
Of course the implementation isn’t the issue. It’s the training data and the compute machines. Open source is pretty meaningless here
On compute there is more than enough compute available to open source now via LAION and Eleuther AI to train these models, will just a bit of time.
Good to see LucidRains get the love he (rightly) deserves. He's a beast! As a thank you to him -- he also does for work for commission/etc, check hus GitHub page for more info. I'm not fiscally or currently otherwise directly linked to him too closely, I've just hung around a while and think he deserves far more credit than he gets. This is literally the smallest piece of the pie of what the man does across several s…
Earlier quoted context omitted.
Four or five figures I'd guess? I'm not clued up on costs/performance for TPU stuff to give a better estimate, but guessing at a week on a 256 TPU pod, call it $30k?
You are off by an order of magnitude at least. 256 TPUs-v4 (not pod), would cost you around 20k$/day. They actually used 512 TPUs (256 for base model + 128 for each of the two superresolution models). Assuming an average training time of 1 week as you said, that gives us about 280k$. It's also most likely trained for longer than a week, the base model for Dalle-2 was trained for 100-200k GPU hours, so between 2-4x lo…
The shares would simply be votes towards future training dataset endeavors as no profit would be booked here. Say you buy 5000 out of 500,000 shares, that would give you 1% voting power in what dataset to train.