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> We might never make a repository of human made content with no Ai postings in it ever again. Wow, never thought of it that way before. Kinda hit me hard for
by zapdrive 3y ago
> We might never make a repository of human made content with no Ai postings in it ever again.
Wow, never thought of it that way before. Kinda hit me hard for some reason.
- thatguy0900 3y agoHonestly I think that's why reddit is closing itself up too. Everyone sitting on a website like this might be sitting on a Ai training goldmine that can never be replicated.
- yuuuuuuuu 3y agoOne that's slowly ageing away though.
- TeMPOraL 3y agoToo little too late. Anything pre-ChatGPT is already scrapped, packaged and mirrored around the Internet; anything post ChatGPT launch is increasingly mixed up with LLM-generated output. And it's not that the most recent data has any extra value. You don't need most recent knowledge to train LLMs. They're not good for reproducing facts anyway. Training up their "cognitive abilities" doesn't need fresh data, it needs just human-generated data.
- KnobbleMcKnees 3y agoPrecisely, which brings us back around to the question: why are social media companies really doing this? I think "AI is takin' ooor contents!" is a convenient excuse to tighten the screws further. Having a Boogeyman in the form of technology that's already under worried discussion by press and politicians is a great way to convince users how super-super-serious the problem must be, and to blow a dog whistle at other companies to indicate they should so the same. It's no coincidence that the first two companies to do this so actively and recently are both overvalued, not profitable, and don't actually directly produce any of the content on their platforms.
- echelon 3y agoSynthetic data fed into training isn't necessarily a bad thing. It can produce great results in many cases.
- ricardobayes 3y agoI've seen that work with self-driving cars. Simulating driving data is actually better since you can introduce black swan events that might not happen often in real world.