In an era of information explosion, how can we seize real opportunities amidst the overwhelming noise?

Recently, I came across an interesting project that redefines the value of data using the Twitter Oracle 3.0 architecture—it's less of an oracle upgrade and more of an attempt at data democratization.

**Why is this approach worth watching?**

**First, the power of AI-driven precise filtering.** Twitter is filled with emotional signals, mixing genuine signals with false ones. This project has developed its own large model (based on Llama-3.2 fine-tuning) that scores social signals across 7 dimensions. Only high-quality signals with a Truth Score above 75 are written onto the chain. In other words, it can effectively distinguish FOMO and FUD, transforming Twitter's emotional fluctuations into truly priceable and tradable on-chain data.

**Second, the incentive design breaks the monopoly.** Traditional oracles are controlled by large institutions, but this project takes the opposite approach—ordinary users can earn tokens by posting high-quality tweets. Half of the total token supply is entirely contributed by the community, directly tying the project's vitality and community activity together, creating a genuine positive feedback loop.

**Third, it captures a key market timing window.** With ongoing market volatility, accurate off-chain data is becoming increasingly critical for on-chain decision-making. Entering at this moment, the prospects are quite promising.