Grass

@grass • 548,271 subscribers

Our mission is to redefine Internet incentive structures

Shorts

Grass on Android is here.

Grass on Android is here.

757,193 次观看

With so many AI models out there, which ones will last? Check out this 17-second clip to see how Grass’s Live Context Retrieval (LCR) engine can give models a unique edge through access to real-time, unbiased web data.

With so many AI models out there, which ones will last? Check out this 17-second clip to see how Grass’s Live Context Retrieval (LCR) engine can give models a unique edge through access to real-time, unbiased web data.

348,387 次观看

“Wen Android?” ICYMI: Now. Grass is live on Android.

“Wen Android?” ICYMI: Now. Grass is live on Android.

230,395 次观看

Videos

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Enterprise revenue flows directly to the Grass Foundation. Wynd Labs is a service provider executing the network's mandate. This structure ensures that as the business scales, value accrues to the ecosystem itself. Andrej Radonjic breaks down the structure 👇

Enterprise revenue flows directly to the Grass Foundation. Wynd Labs is a service provider executing the network's mandate. This structure ensures that as the business scales, value accrues to the ecosystem itself. Andrej Radonjic breaks down the structure 👇

408,411 次观看 • 10 个月前

The world is coming to realize what we've always known. The difference is the data.

The world is coming to realize what we've always known. The difference is the data.

48,285 次观看 • 1 个月前

The infrastructure for working with video data at scale barely exists. Grass Video Search is our first step in changing that. You can now find anything in a video based on the contents of its frames, not just transcripts or tags. Over the last several months, the Grass Foundation has quietly assembled one of the largest video datasets in history: over a billion videos from across the public web, and is segmenting them by scene with VLM annotations of keyframes. This dataset is now searchable, so you can find the exact moment a visual, pattern, or concept appears. Curation has always been the bottleneck in video analysis. We built a system that automates it. This is just the beginning. Over 4 billion additional videos are queued for processing, and the index is growing daily. We’re opening access to a limited set of collaborators. If you’re a researcher, journalist, or nonprofit working with video, archives, or large-scale analysis, we’d love to hear from you.

The infrastructure for working with video data at scale barely exists. Grass Video Search is our first step in changing that. You can now find anything in a video based on the contents of its frames, not just transcripts or tags. Over the last several months, the Grass Foundation has quietly assembled one of the largest video datasets in history: over a billion videos from across the public web, and is segmenting them by scene with VLM annotations of keyframes. This dataset is now searchable, so you can find the exact moment a visual, pattern, or concept appears. Curation has always been the bottleneck in video analysis. We built a system that automates it. This is just the beginning. Over 4 billion additional videos are queued for processing, and the index is growing daily. We’re opening access to a limited set of collaborators. If you’re a researcher, journalist, or nonprofit working with video, archives, or large-scale analysis, we’d love to hear from you.

471,910 次观看 • 1 年前

When AI gives bad advice, it can have real consequences. Grass is improving the way AI interacts with information by providing tools that enable access to accurate, verifiable web data. Join millions of users and download Grass today.

When AI gives bad advice, it can have real consequences. Grass is improving the way AI interacts with information by providing tools that enable access to accurate, verifiable web data. Join millions of users and download Grass today.

667,753 次观看 • 2 年前

The world’s top AI labs are pushing the limits of what today’s models can do, and better data is one of the keys to discovering the theoretical ceiling of machine intelligence. The path forward is increasingly clear: more data, greater diversity, and higher-quality domain-specific data. That’s the problem Grass was built to solve.

The world’s top AI labs are pushing the limits of what today’s models can do, and better data is one of the keys to discovering the theoretical ceiling of machine intelligence. The path forward is increasingly clear: more data, greater diversity, and higher-quality domain-specific data. That’s the problem Grass was built to solve.

42,315 次观看 • 1 个月前

We need to support the responsible growth of AI. With the Grass L2, AI developers will be able to verify the origin of all training data, preventing data poisoning and fighting AI misinformation. This technology has never been more important.

We need to support the responsible growth of AI. With the Grass L2, AI developers will be able to verify the origin of all training data, preventing data poisoning and fighting AI misinformation. This technology has never been more important.

343,764 次观看 • 2 年前

There have been some questions about what LCR is and how it’s used in AI models. In this clip, Andrej breaks down how LLMs leverage LCR to pull real-time, up-to-date data from the web. To learn more, check out his tweet on how LCR will change AI forever.

There have been some questions about what LCR is and how it’s used in AI models. In this clip, Andrej breaks down how LLMs leverage LCR to pull real-time, up-to-date data from the web. To learn more, check out his tweet on how LCR will change AI forever.

269,193 次观看 • 2 年前

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

211,994 次观看 • 2 年前

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