The post OORT Brings Decentralized AI to Binance Wallet with DataHub dApp appeared on BitcoinEthereumNews.com.

Advertisement &nbsp

&nbsp OORT DataHub has officially launched its Decentralized AI (DeAI) data collection dApp on Binance Wallet – marking the first-ever DeAI application to debut on the platform. This strategic move puts OORT at the forefront of the DeAI revolution, placing its decentralized data collection, storage and processing infrastructure directly in the hands of over 486 million potential Binance Wallet users. In doing so, OORT isn’t just scaling user access to its AI training DataHub, but also rewriting the script on how machine learning datasets are sourced, owned, and rewarded in the decentralized era. AI Training Bottleneck: A Shortage of High-Quality Datasets In addition to Pandora’s box of ethical and transparency concerns, one of the biggest challenges LLM training faces today is a potential data drought in the near future. This is because of the rapid development of LLM models over the past few years, raising the demand for high-quality, unbiased and diverse datasets.   According to an updated ML Trends dashboard by EPOCH AI, the training dataset size for language models has been growing by 3.7x per year since 2010. At this rate, estimates show that we will likely run out of AI training data anywhere between 2026 and 2032, depending on the rate at which LLM models are trained. Source: EPOCH AI Why Decentralization Could be the Answer  OORT’s DataHub dApp sets the stage for a decentralized era of collecting, storing, and processing AI training data. In this new paradigm, LLM models won’t have to rely on centrally run databases but rather a distributed ecosystem where participants are incentivized to contribute towards building larger datasets that are not only high-quality but also unbiased and diverse.  Advertisement

&nbsp Take OORT’s DataHub which is now available on Binance Wallet for instance; existing users in the hundreds of millions…

---

Filed under: News - @ June 26, 2025 8:28 am