As AI continues to expand, one problem becomes clearer every day: AI needs trustworthy data. Without it, even the most advanced models fail. This is why I believe Walrus is entering the market at the right time.
@Walrus 🦭/acc is not just about storing information. It’s about ensuring that data remains verifiable, secure, and usable over time. That difference is important. Many systems can hold data, but very few can prove where it came from and whether it was changed.
What stood out to me most is Walrus’s focus on data markets. This allows data to be treated like an asset rather than a byproduct. When data becomes provable, it can be shared, traded, and reused responsibly.
In my view, this changes how individuals and companies think about their information. Instead of keeping data locked away or losing track of it, Walrus gives structure and accountability to the process.
AI systems trained on verified data are more reliable, more ethical, and more useful. That’s not just good for developers — it’s good for users too. If AI is going to influence finance, healthcare, education, and research, then data integrity becomes non-negotiable.
Walrus seems to understand this direction clearly. It is building for a future where data is not just big, but trustworthy.
I think as AI adoption grows, platforms like Walrus may shift from being “interesting” to being necessary. And when that happens, early understanding always matters.
