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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... show more

Logan Jastremski

17,635 subscribers

136,484 görüntüleme • 2 yıl önce •via X (Twitter)

Bilim & Teknoloji Finans

Anya Rossi• Live Now

Private livecam show

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Alec.Sol (DKS)⚔️|🎒| 🐸(Ø,G) profil fotoğrafı

Alec.Sol (DKS)⚔️|🎒| 🐸(Ø,G)2 yıl önce

@getgrass_io @0xdrej Bullish on @getgrass_io

Farmercist 👨‍🌾 profil fotoğrafı

Farmercist 👨‍🌾2 yıl önce

@getgrass_io @0xdrej Bruh, ive been mass educating people in my community about Grass… you can checked my pinned tweet and search the word grass on my TL to see I believe in grass Ai 🤖 Imma go outside tomaooo to touch some grass

Tommy profil fotoğrafı

Tommy2 yıl önce

@getgrass_io @0xdrej Def listening today

Logan Jastremski profil fotoğrafı

Logan Jastremski2 yıl önce

@getgrass_io @0xdrej 🙏

APES profil fotoğrafı

APES2 yıl önce

@mitch_schneids @getgrass_io @0xdrej Invite code to start farming the $GRASS airdrop:

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Crypto Soldier2 yıl önce

@getgrass_io @0xdrej

Leonardo Defi 🐐🌕 profil fotoğrafı

Leonardo Defi 🐐🌕2 yıl önce

@getgrass_io @0xdrej I hope that after this March 8th, Grass will make remarkable strides, possibly releasing a token to list on crypto exchanges, which would be fantastic

Fadi profil fotoğrafı

Fadi2 yıl önce

@getgrass_io @0xdrej Wen airdrop

BeeHumble - Tom 👽 profil fotoğrafı

BeeHumble - Tom 👽2 yıl önce

@getgrass_io @0xdrej Bullish, can´t wait for Binance 🚀

Benzer Videolar

1/ New episode with Andrej Radonjic (Andrej), Co-Founder and CEO of touch grass! We discuss: - Grass as critical infrastructure to power the AI boom - Scaling to 2M+ contributors within months - How Grass is democratizing AI

1/ New episode with Andrej Radonjic (Andrej), Co-Founder and CEO of touch grass! We discuss: - Grass as critical infrastructure to power the AI boom - Scaling to 2M+ contributors within months - How Grass is democratizing AI

Proof of Coverage | Tech’s Creative Agency

298,672 görüntüleme • 2 yıl önce

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👇

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👇

Ben Jacobs

22,468 görüntüleme • 1 yıl önce

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.

Grass

211,994 görüntüleme • 2 yıl önce

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.

Grass

343,785 görüntüleme • 2 yıl önce

Grass Founder Andrej explains why AI labs are racing against the clock. “The work that goes into taking huge amounts of data and turning it into what you want to actually train your model on is massive, and it takes time. And time is probably the most valuable resource right now in AI.”

Grass Founder Andrej explains why AI labs are racing against the clock. “The work that goes into taking huge amounts of data and turning it into what you want to actually train your model on is massive, and it takes time. And time is probably the most valuable resource right now in AI.”

Delphi Digital

10,979 görüntüleme • 15 gün önce

one thing i find interesting about Grass is the growing importance of data infrastructure as AI scales AI labs need massive amounts of data, but accessing public web data is becoming increasingly difficult Grass uses a distributed network of internet connections to help collect that data and make it available to AI companies i believe access to high-quality data will become an increasingly important competitive advantage in AI, which makes this an interesting area to follow

one thing i find interesting about Grass is the growing importance of data infrastructure as AI scales AI labs need massive amounts of data, but accessing public web data is becoming increasingly difficult Grass uses a distributed network of internet connections to help collect that data and make it available to AI companies i believe access to high-quality data will become an increasingly important competitive advantage in AI, which makes this an interesting area to follow

Ansem 🐂🀄️

115,015 görüntüleme • 28 gün önce

Snoop Dogg says: "I know even more about Grass! Grass is the Data Layer of AI! Join the AI revolution by touching Grass! Join the Grass Army!" Snoop Dogg @GetGrass_IO @GrassFDN #SnoopDogg #Grass #GetGrass #GrassArmy #Crypto #DataLayer #AIrevolution #TouchingGrass #Parody

Snoop Dogg says: "I know even more about Grass! Grass is the Data Layer of AI! Join the AI revolution by touching Grass! Join the Grass Army!" Snoop Dogg @GetGrass_IO @GrassFDN #SnoopDogg #Grass #GetGrass #GrassArmy #Crypto #DataLayer #AIrevolution #TouchingGrass #Parody

GRASSΞR

23,397 görüntüleme • 1 yıl önce

Grass users contribute bandwidth, not their personal data “Anyone joining the Grass network isn't actually sharing, like, personal information or anything like that” “Ultimately, what they're contributing is just internet bandwidth” “When AI labs need to build huge training data sets to train their AI models, the most important source for them is actually the internet” Andrej clears up a common misconception around Grass. The network uses participants’ internet bandwidth to help access and collect public web data. Users provide the connection layer, while the web itself supplies the information used to build datasets. As more of the internet becomes difficult to access programmatically, distributed bandwidth becomes part of the infrastructure connecting public web data with AI.

Grass users contribute bandwidth, not their personal data “Anyone joining the Grass network isn't actually sharing, like, personal information or anything like that” “Ultimately, what they're contributing is just internet bandwidth” “When AI labs need to build huge training data sets to train their AI models, the most important source for them is actually the internet” Andrej clears up a common misconception around Grass. The network uses participants’ internet bandwidth to help access and collect public web data. Users provide the connection layer, while the web itself supplies the information used to build datasets. As more of the internet becomes difficult to access programmatically, distributed bandwidth becomes part of the infrastructure connecting public web data with AI.

Kaiz 🐂🀄️

13,127 görüntüleme • 1 ay önce

New Delphi Podcast with Andrej Radonjic Andrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode

New Delphi Podcast with Andrej Radonjic Andrej, founder of Grass To a website, Grass looks like normal users browsing. Behind it is millions of opted in residential nodes and a data platform that has delivered exabytes of web data to the frontier labs We get into how AI flipped the hard part of search upside down. The index used to be the moat, and crawling was free. Now AI tooling makes the index cheap, while AI crawlers have pushed the web into blocking everything. The hard part is getting the page at all Training data is already a profitable business for Grass with most of the top labs and multiple Mag 7 companies as customers. Crawling for that data also means mapping the entire internet, which is what puts Grass in a position to build search on top of it. Contents API is live, Search is next, and multimodal grounding follows 00:00 Intro 00:43 From Nuclear Physics to Web Scraping 03:38 The Pandemic Signal Everyone Missed 07:31 The Smart TV Proxy Scandal 09:10 Why the Internet Is Blocking AI 11:56 Training Data vs Live Data 16:05 Mapping the Entire Internet 18:03 Delivering Exabytes to AI Labs 21:48 What AI Labs Really Pay For 24:43 How Robots Learn From Web Video 33:02 When Labs Change Direction 35:57 One API Call for Any Website 41:58 AI Flipped Search Upside Down 47:03 Can the Network Keep Up? 49:52 The Defense Tech of AI Data 52:58 Why Data Is the Alpha 57:08 Why AI Labs Won’t Buy Slop 59:17 The Metric That Matters Most 01:02:35 The $100 Billion Data Market 01:05:07 Who Actually Owns Grass 01:08:18 What a Real Moat Looks Like 01:13:16 What Happens Next Disclosure. Delphi Ventures holds $GRASS Full episode

Yan Liberman

107,871 görüntüleme • 17 gün önce

Grass is betting that better AI still starts with better pre-training data “Whatever you put into your model ultimately determines what your model's capabilities are” “Several of the top frontier AI labs in the world are working directly with Grass to acquire large amounts of pre-training data” “If that information is not present in your model, your model doesn't know how to do that thing in the first place” Andrej puts Grass close to one of the most fundamental inputs in AI: the training corpus itself. As frontier models scale, they need enormous amounts of diverse, high-quality web data. They are building the infrastructure to collect and supply that data at internet scale. Model capability starts with what the model gets to learn from.

Grass is betting that better AI still starts with better pre-training data “Whatever you put into your model ultimately determines what your model's capabilities are” “Several of the top frontier AI labs in the world are working directly with Grass to acquire large amounts of pre-training data” “If that information is not present in your model, your model doesn't know how to do that thing in the first place” Andrej puts Grass close to one of the most fundamental inputs in AI: the training corpus itself. As frontier models scale, they need enormous amounts of diverse, high-quality web data. They are building the infrastructure to collect and supply that data at internet scale. Model capability starts with what the model gets to learn from.

Kaiz 🐂🀄️

13,989 görüntüleme • 1 ay önce

the part that stands out to me with Grass is how valuable access to the open web becomes as AI scales more websites are putting anti-bot infrastructure in front of public data, while cloud and VPN traffic gets filtered more aggressively Grass uses distributed residential internet connections to help AI labs access publicly available web data through a different route as models need more fresh data, that access layer becomes increasingly important

the part that stands out to me with Grass is how valuable access to the open web becomes as AI scales more websites are putting anti-bot infrastructure in front of public data, while cloud and VPN traffic gets filtered more aggressively Grass uses distributed residential internet connections to help AI labs access publicly available web data through a different route as models need more fresh data, that access layer becomes increasingly important

Ansem 🐂🀄️

86,998 görüntüleme • 1 ay önce

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.

Grass

42,315 görüntüleme • 2 ay önce

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.

Grass

269,193 görüntüleme • 2 yıl önce

Today Mecka is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

Today Mecka is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

Josh

425,522 görüntüleme • 5 ay önce

We own 24 million users and 1 billion refined data records, and we plan to provide this data free of charge to all AI startup companies for one month. Meet Data Hedge now the most powerful LLM user-based data layer.

We own 24 million users and 1 billion refined data records, and we plan to provide this data free of charge to all AI startup companies for one month. Meet Data Hedge now the most powerful LLM user-based data layer.

DATAHEDGE

142,069 görüntüleme • 5 ay önce

one thing i find interesting about Grass is its potential expansion beyond AI training data they've already built infrastructure to collect and process web data at scale, and now they're looking to make those tools available directly to AI agents and LLMs i expect real-time access to web data to become increasingly important as AI agents grow more capable that could open up an entirely different market for infrastructure providers like Grass

one thing i find interesting about Grass is its potential expansion beyond AI training data they've already built infrastructure to collect and process web data at scale, and now they're looking to make those tools available directly to AI agents and LLMs i expect real-time access to web data to become increasingly important as AI agents grow more capable that could open up an entirely different market for infrastructure providers like Grass

Ansem 🐂🀄️

99,378 görüntüleme • 26 gün önce

Olam Labs CEO sensho says the only two bottlenecks left to AGI and ASI are compute and data. "For AGI and ASI to come there are only two bottlenecks right now. We have no bottleneck with architecture or agents. It's data and compute." "Compute is the biggest bottleneck." "We're gonna have 10x more compute coming online in the next two years. If you're scaling law-pilled and if you're -pilled in all the ways that these AI labs are, then data is the actual bottleneck."

Olam Labs CEO sensho says the only two bottlenecks left to AGI and ASI are compute and data. "For AGI and ASI to come there are only two bottlenecks right now. We have no bottleneck with architecture or agents. It's data and compute." "Compute is the biggest bottleneck." "We're gonna have 10x more compute coming online in the next two years. If you're scaling law-pilled and if you're -pilled in all the ways that these AI labs are, then data is the actual bottleneck."

TBPN

44,597 görüntüleme • 1 ay önce

Grass founder Andrej explains how AI labs price training data. “We’ve got a specific benchmark that we want to improve a model on. What is the expected economic benefit of making the model better on that benchmark?”

Grass founder Andrej explains how AI labs price training data. “We’ve got a specific benchmark that we want to improve a model on. What is the expected economic benefit of making the model better on that benchmark?”

Delphi Digital

13,337 görüntüleme • 17 gün önce

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

61,436 görüntüleme • 5 ay önce