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Towards ML-Enabled Data Labeling

Towards ML-Enabled Data Labeling

This blog post is part of a mini‑series showcasing select projects being built at Grass, giving a look at the engineering challenges we face and how we solve them to improve the network. This work is supported by engineers at Wynd Labs, which is a core contributor to Grass.

Grass on Android is here

Grass on Android is here

The next chapter for Grass starts today. We are officially live with the Grass Android app, bringing the network closer to more people, more devices, and more of everyday life. You can now download Grass directly to your Android phone. No desktop required. No browser extension. Just your phone, running

Answering Skeptical Questions About Grass: Simple and Honest

Maybe you’ve just heard about Grass from a friend, or you’re trying to send Grass referrals to your network and getting skeptical responses in return. That’s understandable. Grass sounds unfamiliar because it breaks from the usual model where companies profit and users get nothing, and when someone

Imagine owning a piece of the Internet - just by signing up. Would you?

Imagine owning a piece of the Internet - just by signing up. Would you?

On October 28th, 2024, the Grass network made history by distributing 10% of its network ownership to millions of users worldwide. This groundbreaking event marked a pivotal shift away from the traditional dominance of tech giants and empowered everyday internet users to become stakeholders in the digital infrastructure they helped

Building Transparency and Trust in AI: How Grass’s Data Rollup Will Revolutionize Data Provenance

Building Transparency and Trust in AI: How Grass’s Data Rollup Will Revolutionize Data Provenance

Over the past few weeks, we’ve been reflecting on the current state of artificial intelligence (AI). What are the most pressing issues it faces? As a prominent piece of AI infrastructure ourselves, what can we do to solve them? We’ve concluded that the biggest problem in AI right

Enter The Data Wars

Enter The Data Wars

Let’s start with a thought experiment: At what point does the following text stop describing the current timeline, and transition into science fiction? Read carefully. The year is 2023. A small number of tech conglomerates have mobilized their resources to develop large language models and lay the groundwork for

The Intersection of Grass and AI Labs

The Intersection of Grass and AI Labs

From ChatGPT to Gemini, Grok, and more, AI tools are everywhere, with more applications on the way every day. Behind these powerful technologies lies a crucial need for massive amounts of data for training. The AI labs behind some of your favorite AI tools need billions of data points from