The post OORT Introduces the “TikTok for Data”, Connecting Web3 and AI Projects with Community-Driven Data appeared on BitcoinEthereumNews.com. Advertisement &nbsp &nbsp There’s a lot to like about decentralized artificial intelligence and its promise to enable free or low-cost access to powerful AI models and services. Now, a startup called OORT wants to democratize the development process too, launching a new platform that seeks to crowdsource AI data collection. OORT’s new DataHub Launchpad is billed as the world’s first “omni-chain data task platform”, and its goal is to further collaboration in the AI industry. It’s doing this most logically and feasibly, by offering incentives to anyone who can help AI projects gather the data they require. It’s solving an urgent need. New AI models must be trained on enormous amounts of data, and increasingly, that data must also be precise. Whereas companies like OpenAI initially made do by scraping the web to train their models on articles, blog posts, social media comments, and random images, they’re now becoming very particular about the types of data they need. What they want is smaller, more precise datasets that can be used to train models to perform more specialized tasks. But the challenge is sourcing it. In many cases, it doesn’t exist, and if it does, it’s often extremely expensive. This is where OORT comes in. With the DataHub, AI researchers and developers can create a “Data Task” that specifies what they need, whether a collection of images of specific objects or activities, or even just responses to a survey. Contributors browse the platform for tasks they can complete and upload their data, and others verify their submissions to ensure they’re not fake or AI-generated. Once they’ve confirmed the data is good, it’ll be supplied to the team that requested it. At that point, the contributors who collected and verified the data get paid, either in OORT tokens or any other… The post OORT Introduces the “TikTok for Data”, Connecting Web3 and AI Projects with Community-Driven Data appeared on BitcoinEthereumNews.com. Advertisement &nbsp &nbsp There’s a lot to like about decentralized artificial intelligence and its promise to enable free or low-cost access to powerful AI models and services. Now, a startup called OORT wants to democratize the development process too, launching a new platform that seeks to crowdsource AI data collection. OORT’s new DataHub Launchpad is billed as the world’s first “omni-chain data task platform”, and its goal is to further collaboration in the AI industry. It’s doing this most logically and feasibly, by offering incentives to anyone who can help AI projects gather the data they require. It’s solving an urgent need. New AI models must be trained on enormous amounts of data, and increasingly, that data must also be precise. Whereas companies like OpenAI initially made do by scraping the web to train their models on articles, blog posts, social media comments, and random images, they’re now becoming very particular about the types of data they need. What they want is smaller, more precise datasets that can be used to train models to perform more specialized tasks. But the challenge is sourcing it. In many cases, it doesn’t exist, and if it does, it’s often extremely expensive. This is where OORT comes in. With the DataHub, AI researchers and developers can create a “Data Task” that specifies what they need, whether a collection of images of specific objects or activities, or even just responses to a survey. Contributors browse the platform for tasks they can complete and upload their data, and others verify their submissions to ensure they’re not fake or AI-generated. Once they’ve confirmed the data is good, it’ll be supplied to the team that requested it. At that point, the contributors who collected and verified the data get paid, either in OORT tokens or any other…

OORT Introduces the “TikTok for Data”, Connecting Web3 and AI Projects with Community-Driven Data

2025/10/29 23:30
Advertisement

There’s a lot to like about decentralized artificial intelligence and its promise to enable free or low-cost access to powerful AI models and services. Now, a startup called OORT wants to democratize the development process too, launching a new platform that seeks to crowdsource AI data collection.

OORT’s new DataHub Launchpad is billed as the world’s first “omni-chain data task platform”, and its goal is to further collaboration in the AI industry. It’s doing this most logically and feasibly, by offering incentives to anyone who can help AI projects gather the data they require.

It’s solving an urgent need. New AI models must be trained on enormous amounts of data, and increasingly, that data must also be precise. Whereas companies like OpenAI initially made do by scraping the web to train their models on articles, blog posts, social media comments, and random images, they’re now becoming very particular about the types of data they need. What they want is smaller, more precise datasets that can be used to train models to perform more specialized tasks. But the challenge is sourcing it. In many cases, it doesn’t exist, and if it does, it’s often extremely expensive.

This is where OORT comes in. With the DataHub, AI researchers and developers can create a “Data Task” that specifies what they need, whether a collection of images of specific objects or activities, or even just responses to a survey. Contributors browse the platform for tasks they can complete and upload their data, and others verify their submissions to ensure they’re not fake or AI-generated. Once they’ve confirmed the data is good, it’ll be supplied to the team that requested it. At that point, the contributors who collected and verified the data get paid, either in OORT tokens or any other BNB Chain token.

DataHub Launchpad expands on this idea, bringing social media influencers into the equation, enabling them to grow their audiences online by creating Data Tasks and having their followers complete them. It’s a way to outsource tasks so they can be completed much faster and more comprehensively, with everyone earning rewards for their contributions. For instance, an influencer might ask their followers to upload images of cakes to their X profile, and they’ll earn tokens for each one they post. Because it’s incentivized, it gives them a way to grow their social media following, and they’ll also earn revenue themselves once OORT monetizes the completed dataset. Brands can also do the same to grow their following in an organic, trackable way. 

Advertisement

 

OORT’s founder and CEO, Dr. Max Li, said that DataHub Launchpad will have a significant impact on the AI industry by lowering barriers to data collection and enabling everyone to participate. “The DataHub Launchpad is a game-changer because it democratizes data collection by putting the power of AI in the hands of many, not just a few,” he said.

Interestingly, OORT’s ambitions extended beyond just AI data collection. For instance, companies or researchers can create surveys and quiz a global audience on any topic they need to know about, and reward people who take the time to answer them. 

Ultimately, OORT sees itself becoming a vital cog in the decentralized AI industry. By building a large, global community of data contributors that can rapidly source high-quality datasets on almost any topic, it’s fixing one of the major bottlenecks in AI development and accelerating innovation.

Source: https://zycrypto.com/oort-introduces-the-tiktok-for-data-connecting-web3-and-ai-projects-with-community-driven-data/

Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen [email protected] ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

BlackRock boosts AI and US equity exposure in $185 billion models

BlackRock boosts AI and US equity exposure in $185 billion models

The post BlackRock boosts AI and US equity exposure in $185 billion models appeared on BitcoinEthereumNews.com. BlackRock is steering $185 billion worth of model portfolios deeper into US stocks and artificial intelligence. The decision came this week as the asset manager adjusted its entire model suite, increasing its equity allocation and dumping exposure to international developed markets. The firm now sits 2% overweight on stocks, after money moved between several of its biggest exchange-traded funds. This wasn’t a slow shuffle. Billions flowed across multiple ETFs on Tuesday as BlackRock executed the realignment. The iShares S&P 100 ETF (OEF) alone brought in $3.4 billion, the largest single-day haul in its history. The iShares Core S&P 500 ETF (IVV) collected $2.3 billion, while the iShares US Equity Factor Rotation Active ETF (DYNF) added nearly $2 billion. The rebalancing triggered swift inflows and outflows that realigned investor exposure on the back of performance data and macroeconomic outlooks. BlackRock raises equities on strong US earnings The model updates come as BlackRock backs the rally in American stocks, fueled by strong earnings and optimism around rate cuts. In an investment letter obtained by Bloomberg, the firm said US companies have delivered 11% earnings growth since the third quarter of 2024. Meanwhile, earnings across other developed markets barely touched 2%. That gap helped push the decision to drop international holdings in favor of American ones. Michael Gates, lead portfolio manager for BlackRock’s Target Allocation ETF model portfolio suite, said the US market is the only one showing consistency in sales growth, profit delivery, and revisions in analyst forecasts. “The US equity market continues to stand alone in terms of earnings delivery, sales growth and sustainable trends in analyst estimates and revisions,” Michael wrote. He added that non-US developed markets lagged far behind, especially when it came to sales. This week’s changes reflect that position. The move was made ahead of the Federal…
Paylaş
BitcoinEthereumNews2025/09/18 01:44