Sources
vana
AI training has hit a data wall. The available training data from the public internet has been largely exhausted. The next frontier isn’t just more data - it’s about unlocking the vast ocean of high-quality, user-owned data that’s been inaccessible to AI. This is why we created… https://t.co/eh2h4gtBnq
Stacey Engle Training data is the fuel in the car of AI. Here’s the thing: AI is only as good as the data it’s trained on. If it’s built on narrow perspectives, it will reflect that. That’s why platforms like Twin Protocol are so important—we’re empowering people to contribute their own… https://t.co/vJPSDfGRvG
- vana
As we push towards building user-owned AI, it’s essential to quantify quality data and only use the best data to teach AI models. That way, users who contribute their personal data to teach AI receive incentives based on the “teaching power” of their data. This is where “AI… https://t.co/b9nC8OfR0l
