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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.

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Grass

563,334 subscribers

667,588 görüntüleme • 1 yıl önce •via X (Twitter)

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Grass profil fotoğrafı
Grass1 yıl önce

Sign up today!

⛌ev profil fotoğrafı
⛌ev1 yıl önce

Like this if you are tired and you want launch

HEADBOY 🦇🔊 profil fotoğrafı
HEADBOY 🦇🔊1 yıl önce

Leave Advice For Now! Wen Do Claim $GRASS ?☠️

Hungry For More profil fotoğrafı
Hungry For More1 yıl önce

I thought this was a claim post! 😂

fabiano.sol profil fotoğrafı
fabiano.sol1 yıl önce

Okay this clip got me 💯

S.K. the General profil fotoğrafı
S.K. the General1 yıl önce

Please help, a wallet which is tied to the grass account has been drained and is most likely useless now. Is there any way I can change my wallet address for the upcoming airdrop?

beyabt85 profil fotoğrafı
beyabt851 yıl önce

When claim aq...

Fran profil fotoğrafı
Fran1 yıl önce

I'm just here to apprehend the humour of the creator. On a side note, I am looking forward to the future. Great video.

PRIME KIRIN profil fotoğrafı
PRIME KIRIN1 yıl önce

What's advice? Wen claim @getgrass_io

Benzer Videolar

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.
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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.

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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.
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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.

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In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇
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In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

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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.
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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.

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Grass is a decentralized web scraping protocol that rewards users for sharing internet bandwidth — data collected is used to train AI models. On Feb. 14 touch grass hit an ATH in daily data collected – with 1M+ GB scraped 🤯 more on Grass from with MR SHIFT 🦁
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Grass is a decentralized web scraping protocol that rewards users for sharing internet bandwidth — data collected is used to train AI models. On Feb. 14 touch grass hit an ATH in daily data collected – with 1M+ GB scraped 🤯 more on Grass from with MR SHIFT 🦁

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Will touch grass become the data layer for AI? In this weeks podcast I sit down with the founder Andrej as we speak to the AI boom and necessary ingredients needed to power it: compute and data AI x Crypto x Data (Grass) We speak to: - 600,000 users in only seven months - Expanding into data cleaning and preparation - What are the current issues in the AI space right now, and how is Grass addressing these issues Youtube: Spotify:

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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.
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