Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

The next bottleneck in AI isn’t model performance. It’s data. From scraped internet content → real-world, consented, high-context data.

datafdn's profile picture

The DATA Foundation

559,934 subscribers

12,747 Aufrufe • vor 1 Monat •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Model progress is no longer constrained by architecture, but by access to high-quality, human-generated data. Scraped internet data is finite, low-signal and increasingly synthetic. Kled AI pays real people to upload authentic, real world content task by task in their mobile app. We are super excited to back Avi Patel and Kled AI as they build a massive data marketplace. If you are in need of a great data partner, reach out! More from us here (we were not investors when we filmed):
23:44

Model progress is no longer constrained by architecture, but by access to high-quality, human-generated data. Scraped internet data is finite, low-signal and increasingly synthetic. Kled AI pays real people to upload authentic, real world content task by task in their mobile app. We are super excited to back Avi Patel and Kled AI as they build a massive data marketplace. If you are in need of a great data partner, reach out! More from us here (we were not investors when we filmed):

Nichole Wischoff

36,974 Aufrufe • vor 4 Monaten

What we’re seeing: frontier robotics teams are rebuilding data pipelines from scratch because generic licensed datasets aren’t moving their models forward. The next wave won’t be about more data. It’ll be about precise, domain-specific data that actually improves performance. The bottleneck isn’t compute. It’s the right data. 🎥 Our CCO Arthur at Wrapped’s Multichain Day (ETHDenver 🏔🦬🦄)
0:43

What we’re seeing: frontier robotics teams are rebuilding data pipelines from scratch because generic licensed datasets aren’t moving their models forward. The next wave won’t be about more data. It’ll be about precise, domain-specific data that actually improves performance. The bottleneck isn’t compute. It’s the right data. 🎥 Our CCO Arthur at Wrapped’s Multichain Day (ETHDenver 🏔🦬🦄)

Perle Labs

30,562 Aufrufe • vor 5 Monaten

Robots and AI cannot hear the world - Yet. They are starving for fuel, and the internet’s data is already scraped dry. AI needs real-world audio data - at massive scale. Silencio is expanding its vision: from the largest noise data bank to The World’s Ears for AI and Robotics. 📅On September 17th: The world gets ears. Reserve your exclusive keynote preview:
0:25

Robots and AI cannot hear the world - Yet. They are starving for fuel, and the internet’s data is already scraped dry. AI needs real-world audio data - at massive scale. Silencio is expanding its vision: from the largest noise data bank to The World’s Ears for AI and Robotics. 📅On September 17th: The world gets ears. Reserve your exclusive keynote preview:

Silencio | Voice Data for AI

96,139 Aufrufe • vor 11 Monaten

AI is moving beyond the browser and into the real world. The bottleneck? Data. Today we’re announcing a $15M seed round led by a16z crypto to build infra that collects, curates, and licenses high-quality data for physical AI. Incubated by and built on @StoryProtocol.
0:37

AI is moving beyond the browser and into the real world. The bottleneck? Data. Today we’re announcing a $15M seed round led by a16z crypto to build infra that collects, curates, and licenses high-quality data for physical AI. Incubated by and built on @StoryProtocol.

Poseidon

292,316 Aufrufe • vor 1 Jahr

LARRY ELLISON: AI IS RAPIDLY COMMODITIZING BECAUSE MOST MODELS ARE TRAINED ON THE SAME PUBLIC INTERNET DATA. THE REAL COMPETITIVE EDGE ISN’T THE MODEL ANYMORE — IT’S ACCESS TO EXCLUSIVE, PROPRIETARY DATASETS. THAT MAY BE THE ONLY MOAT LEFT.
0:36

LARRY ELLISON: AI IS RAPIDLY COMMODITIZING BECAUSE MOST MODELS ARE TRAINED ON THE SAME PUBLIC INTERNET DATA. THE REAL COMPETITIVE EDGE ISN’T THE MODEL ANYMORE — IT’S ACCESS TO EXCLUSIVE, PROPRIETARY DATASETS. THAT MAY BE THE ONLY MOAT LEFT.

Vivek Sen

3,312,794 Aufrufe • vor 2 Monaten

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics
7:06

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics

Michelle Sun

15,351 Aufrufe • vor 1 Monat

AI only exists today because it is trained on real data. The better the data input, The better the AI output. We capture incredibly high-quality raw data of real humans, in 3D, from all angles. You do the Math ✍🏻 Our data can vastly improve and expand the capabilities of AI
1:04

AI only exists today because it is trained on real data. The better the data input, The better the AI output. We capture incredibly high-quality raw data of real humans, in 3D, from all angles. You do the Math ✍🏻 Our data can vastly improve and expand the capabilities of AI

Metahero.io

24,529 Aufrufe • vor 2 Jahren

The definition of "rare data" is in flux. Online content ≠ rare (it's been scraped) Technical datasets ≠ rare (again, scraped) Trustworthy human data = rare (can't be scraped) Proving that rarity is now critical. jacob breaks down how receipts work on Trace ↓
0:53

The definition of "rare data" is in flux. Online content ≠ rare (it's been scraped) Technical datasets ≠ rare (again, scraped) Trustworthy human data = rare (can't be scraped) Proving that rarity is now critical. jacob breaks down how receipts work on Trace ↓

The DATA Foundation

18,325 Aufrufe • vor 4 Tagen

We've hit the data wall- all public internet data has been used to train AI. explains why the future of AI training lies in unlocking user-owned data from walled gardens 🔓
1:34

We've hit the data wall- all public internet data has been used to train AI. explains why the future of AI training lies in unlocking user-owned data from walled gardens 🔓

vana

16,489 Aufrufe • vor 1 Jahr

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.
0:40

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

211,980 Aufrufe • vor 2 Jahren

our next chapter is here. it’s called Real-World AI. Larry Pang shared at our flagship event in singapore how IoTeX will power a new generation of AI built on verified real-world data. watch the full keynote below.
16:01

our next chapter is here. it’s called Real-World AI. Larry Pang shared at our flagship event in singapore how IoTeX will power a new generation of AI built on verified real-world data. watch the full keynote below.

IoTeX

61,603 Aufrufe • vor 9 Monaten

Watch ROVR🌐｜Data-Driven Planet’s pitch from the Crypto’s Got Talent Semifinals: ROVR is building a global network of LiDAR-powered devices to collect high-fidelity 3D data for AI and autonomous systems. Deployed across Asia and beyond, this is real-world DePIN for real-world AI. ↓
17:40

Watch ROVR🌐｜Data-Driven Planet’s pitch from the Crypto’s Got Talent Semifinals: ROVR is building a global network of LiDAR-powered devices to collect high-fidelity 3D data for AI and autonomous systems. Deployed across Asia and beyond, this is real-world DePIN for real-world AI. ↓

IoTeX

27,582 Aufrufe • vor 1 Jahr

Real-world AI can’t be trained on scraped data. It needs real voices. Live now: 🔱 Users may earn Poseidon points, and from time to time, partner rewards for audio that helps train AI on accents, noise, and conversations.
0:50

Real-world AI can’t be trained on scraped data. It needs real voices. Live now: 🔱 Users may earn Poseidon points, and from time to time, partner rewards for audio that helps train AI on accents, noise, and conversations.

Poseidon

444,914 Aufrufe • vor 11 Monaten

hyperliquid is the best exchange in the world. but the web isn’t enough anymore. working on a fully native hyperliquid mobile app: real-time data, high performance, and a complete trading experience that feels right. who wants early access?
1:20

hyperliquid is the best exchange in the world. but the web isn’t enough anymore. working on a fully native hyperliquid mobile app: real-time data, high performance, and a complete trading experience that feels right. who wants early access?

Suhail Kakar

149,309 Aufrufe • vor 9 Monaten

Big AI eats your data, gives nothing back. Ram explains why this extraction model is broken. OpenLedger flips the script. Transparent data. Verifiable contribution. Rewards that flow back to the source. The AI future isn’t privately owned. It’s collaborative 🐙
12:24

Big AI eats your data, gives nothing back. Ram explains why this extraction model is broken. OpenLedger flips the script. Transparent data. Verifiable contribution. Rewards that flow back to the source. The AI future isn’t privately owned. It’s collaborative 🐙

OpenLedger

57,853 Aufrufe • vor 1 Jahr

The data analytics bottleneck is real. Questions stack up, context gets lost, and by the time you get an answer, you forgot why you even asked. How to turn coding agents into 24/7 data analysts👇
0:38

The data analytics bottleneck is real. Questions stack up, context gets lost, and by the time you get an answer, you forgot why you even asked. How to turn coding agents into 24/7 data analysts👇

Cognition

251,117 Aufrufe • vor 11 Monaten

For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks:
0:37

For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks:

MIT CSAIL

82,861 Aufrufe • vor 1 Jahr

AI is hitting an inflection point—and it's not just about computing power or model layers. Mobile World Live reported from this year's #HWIDI Forum in Paris to fully unpack the theme "Data Awakening, Infra Evolving." As they discovered, the real race is focusing on #Data itself—indeed "the next chapter of AI is data," noted Yuan Yuan, Huawei's VP and President of the Data Storage Product Line. The outcome will ultimately be shaped by how storage unlocks, structures, and activates it. Discover more: Cr. Mobile World Live #HuaweiStorage #DataAwakening #InfraEvolving #Innovation
4:50

AI is hitting an inflection point—and it's not just about computing power or model layers. Mobile World Live reported from this year's #HWIDI Forum in Paris to fully unpack the theme "Data Awakening, Infra Evolving." As they discovered, the real race is focusing on #Data itself—indeed "the next chapter of AI is data," noted Yuan Yuan, Huawei's VP and President of the Data Storage Product Line. The outcome will ultimately be shaped by how storage unlocks, structures, and activates it. Discover more: Cr. Mobile World Live #HuaweiStorage #DataAwakening #InfraEvolving #Innovation

Huawei IT Products & Solutions

34,870 Aufrufe • vor 2 Monaten