LivDiv wrote:Getting people to pay for this stuff could be a road block. Coding eggheads are about to come up against what creatives have for years "do it for exposure", "my son knows Photoshop", a general perception that stuff that is fun to consume is fun to make so is it's own reward. It's probably in the Limewire stage right now, jank, copyright infringing minefield. Will need to be iTunesed or Spotified.
Yeah when things calm down a bit it'll be the big tech players with the mature models that can be used for pro-tier work. And they'll slow the R&D down to keep costs manageable.b0r1s wrote:Ouch! Sounds like incredibly bad management. As the compute needs accelerate there’ll only be space for the big boys.
“To suggest that the agency should disclose and obtain the advertiser’s approval for any such use serves only to unnecessarily complicate the contractual requirements when there is no practical benefit for the advertiser in doing so,” Karandikar said
monkey wrote:That's weird. It's not paywalled from Twitter but is from the direct link.
monkey wrote:Can't find the link now but there was a report that brands don't want AI and are stipulating no AI use in their contracts with ad firms. Main reasons were not wanting to encroach on some one else's IP, not wanting their IP fed back into AI models and becoming easier to reproduce. And the negative PR that comes from AI use at the moment.
b0r1s wrote:They don't even know how it works, not actually. The models are too big for humans to understand.
LivDiv wrote:Is anyone doing a "Train it yourself" type product?
This is what will appeal to big business ultimately. For example Nike might want to train their AI purely on Nike products so "A red sneaker being held by Post Malone" would only come up with a shoe that looked like a Nike shoe.
Or DC may want an AI that can be told "an ensemble of heroes fight a planet sized villain" without it pulling in Marvel characters or even art styles that aren't theirs.
I realise better prompting helps, "sneaker" could be "Air Max 1" but a clean data set would be potentially more efficient and reliable. Would alleviate some of those issues around things being kept in-house as well, Nike and DC don't want to feed their archives into something anyone can access.
What are they training it on? I thought big tech was gobbling up and locking away all the big data sets. Is it 'publically available' (aka stolen) data?SpaceGazelle wrote:AI is like any computer tech, stupid expensive at first and cheap as chips later in the same way that room sized computers in the 70's gave way to desktops and eventually mobile phones. It can't be controlled when it's in the hands of everyone. In the meantime it's parallel nature means people can collectively train a complex model. This is already happening with individual GPU users on places like Reddit contributing to a single model. What has happened is generative has exploded so quickly because big tech has thrown massive amounts of resources at it just to see what it can do. It'll be in the hands of everyone soon as the price comes down and we won't have to rely on big tech to provide it. The main thing is that AI is very simple to do technically and it's available to everyone already. It's just that big tech has the newest chips and generative AI has artificially pushed the price up, for now. The cost of training will also come down as the current models are extremely inefficient. They just chucked a shitload of parameters at it to see what it could do for a lark, not even sure that it would work.
SpaceGazelle wrote:b0r1s wrote:They don't even know how it works, not actually. The models are too big for humans to understand.
They know how it works, it's just differentiation. They just don't know what it's doing.
monkey wrote:What are they training it on? I thought big tech was gobbling up and locking away all the big data sets. Is it 'publically available' (aka stolen) data?SpaceGazelle wrote:AI is like any computer tech, stupid expensive at first and cheap as chips later in the same way that room sized computers in the 70's gave way to desktops and eventually mobile phones. It can't be controlled when it's in the hands of everyone. In the meantime it's parallel nature means people can collectively train a complex model. This is already happening with individual GPU users on places like Reddit contributing to a single model. What has happened is generative has exploded so quickly because big tech has thrown massive amounts of resources at it just to see what it can do. It'll be in the hands of everyone soon as the price comes down and we won't have to rely on big tech to provide it. The main thing is that AI is very simple to do technically and it's available to everyone already. It's just that big tech has the newest chips and generative AI has artificially pushed the price up, for now. The cost of training will also come down as the current models are extremely inefficient. They just chucked a shitload of parameters at it to see what it could do for a lark, not even sure that it would work.
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