正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

On scanning all the HuggingFace training data.

Truffle Security

5,030 subscribers

12,100 次观看 • 1 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

⚠️ Think AI Scanning All Your 🫆 Data:

⚠️ Think AI Scanning All Your 🫆 Data:

𝐏𝐇𝐎𝐄𝐍𝐈𝐗🐦‍🔥𝐃𝐑𝐀𝐆𝐎𝐍

118,080 次观看 • 2 个月前

All Blacks on the Forsyth Barr gate scanning fans in

All Blacks on the Forsyth Barr gate scanning fans in

Jamie Wall

116,838 次观看 • 2 年前

ego-to-robot data pipeline is one key component of Qwen-RobotManip （ Today, we’re sharing the full technical details behind it: Ego2Robot 🤖 It turns egocentric human videos into scalable robot training data and improves VLA generalization across tasks and embodiments. page: arxiv: huggingface upvoting 🚀:

ego-to-robot data pipeline is one key component of Qwen-RobotManip （ Today, we’re sharing the full technical details behind it: Ego2Robot 🤖 It turns egocentric human videos into scalable robot training data and improves VLA generalization across tasks and embodiments. page: arxiv: huggingface upvoting 🚀:

barry (xiong-hui) chen

17,106 次观看 • 1 个月前

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.

Grass

211,991 次观看 • 2 年前

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

The DATA Foundation

382,017 次观看 • 2 个月前

Turn all your Hermes agent sessions into training-data.

Turn all your Hermes agent sessions into training-data.

0xSero

27,014 次观看 • 5 个月前

Flock cameras are scanning up to 20 billion license plates per month. That’s INSANE. The AI data centers make this even more scary as they will now be able to analyze all of that data.

Flock cameras are scanning up to 20 billion license plates per month. That’s INSANE. The AI data centers make this even more scary as they will now be able to analyze all of that data.

Derrick Evans

18,218 次观看 • 1 个月前

🇺🇸 CHAMATH: ELON WILL TRAIN FUTURE GROK VERSIONS ON SYNTHETIC DATA, IT'S CRAZY "Elon said future Grok models won't train on any traditional data sets. Instead, he's going to have AI agents creating synthetic data from scratch to drive all the training, which I just think is crazy." Source: The All-In Podcast xAI Chamath Palihapitiya

🇺🇸 CHAMATH: ELON WILL TRAIN FUTURE GROK VERSIONS ON SYNTHETIC DATA, IT'S CRAZY "Elon said future Grok models won't train on any traditional data sets. Instead, he's going to have AI agents creating synthetic data from scratch to drive all the training, which I just think is crazy." Source: The All-In Podcast xAI Chamath Palihapitiya

Mario Nawfal

606,744 次观看 • 1 年前

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 🔓

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 次观看 • 1 年前

Don't get fooled by the Deep Seek sleight of hand. The Open AI networks were a sieve. All the training data moved to Berkeley. CcP hacking data ended up at Berkeley. All you need to do is kill the messenger after he builds the training system after 48 months.

Don't get fooled by the Deep Seek sleight of hand. The Open AI networks were a sieve. All the training data moved to Berkeley. CcP hacking data ended up at Berkeley. All you need to do is kill the messenger after he builds the training system after 48 months.

George Webb - Investigative Journalist

37,521 次观看 • 1 年前

Jensen drops Alpamayo at CES. Calls Tesla "the most advanced AV stack in the world." Elon responds: "That's exactly what Tesla is doing. Easy to get to 99%, super hard to solve the long tail." Also Elon: Tesla has spent ~$10B on NVIDIA hardware for training. The play no one's talking about: NVIDIA doesn't need to beat Tesla. They just need to arm everyone else. Mercedes, JLR, Lucid, Uber - all shipping Alpamayo. Open-source VLA. 1,700 hours of training data on HuggingFace. Jensen praises Tesla publicly while handing their competitors a turnkey autonomy stack. The house always wins.

Jensen drops Alpamayo at CES. Calls Tesla "the most advanced AV stack in the world." Elon responds: "That's exactly what Tesla is doing. Easy to get to 99%, super hard to solve the long tail." Also Elon: Tesla has spent ~$10B on NVIDIA hardware for training. The play no one's talking about: NVIDIA doesn't need to beat Tesla. They just need to arm everyone else. Mercedes, JLR, Lucid, Uber - all shipping Alpamayo. Open-source VLA. 1,700 hours of training data on HuggingFace. Jensen praises Tesla publicly while handing their competitors a turnkey autonomy stack. The house always wins.

Ben Pouladian

25,748 次观看 • 8 个月前

Tether Data, AI model training platform preview. This PaaS will be available to any company interested in (pre-)training own models. Bonus, at the core of this platform we're leveraging Holepunch's tech for all data-structures to make training and models highly-resilient and unstoppable. Soon available via Northern Data Group , leveraging 24k+ H100 GPUs.

Tether Data, AI model training platform preview. This PaaS will be available to any company interested in (pre-)training own models. Bonus, at the core of this platform we're leveraging Holepunch's tech for all data-structures to make training and models highly-resilient and unstoppable. Soon available via Northern Data Group , leveraging 24k+ H100 GPUs.

Paolo Ardoino 🤖

28,092 次观看 • 1 年前

AI companies are reportedly buying antique books in bulk, scanning them for training data, then tearing apart the physical copies afterward. The move has sparked debate over the cost of building the next generation of AI and what happens to pieces of history along the way. [🎥: via/

AI companies are reportedly buying antique books in bulk, scanning them for training data, then tearing apart the physical copies afterward. The move has sparked debate over the cost of building the next generation of AI and what happens to pieces of history along the way. [🎥: via/

Complex

77,576 次观看 • 1 个月前

In Japan, passing exercises combined with constant scanning are part of the daily training reality. Receive information first, then receive the ball.

In Japan, passing exercises combined with constant scanning are part of the daily training reality. Receive information first, then receive the ball.

⚽️Pedro Mendonça🧠

88,133 次观看 • 3 个月前

Futuristic file-scanning UI, fully data-driven and built for long-running sessions. Made with Three.js

Futuristic file-scanning UI, fully data-driven and built for long-running sessions. Made with Three.js

Dilum Sanjaya

48,545 次观看 • 11 个月前

Exclusive pre-registration event for *Crossfire: Legends* on Midasbuy! Join now by scanning the QR code! 👉 JOIN ALL EVENTS HERE:

Exclusive pre-registration event for Crossfire: Legends on Midasbuy! Join now by scanning the QR code! 👉 JOIN ALL EVENTS HERE:

Midasbuy

15,887 次观看 • 9 个月前

How the world got tricked into training AI 😨 Pokémon Go has been downloaded over 1 billion times globally since its launch in July 2016. All while convincing users to run around their neighbourhoods scanning everything in sight with their phone cameras. Streets, parks, forests, behind the dumpster, even inside their own homes... Do you know where that data went?

How the world got tricked into training AI 😨 Pokémon Go has been downloaded over 1 billion times globally since its launch in July 2016. All while convincing users to run around their neighbourhoods scanning everything in sight with their phone cameras. Streets, parks, forests, behind the dumpster, even inside their own homes... Do you know where that data went?

Filip Zieba

56,557 次观看 • 4 个月前

Traverse (Traverse (YC W26)) is a data research lab solving the hardest problem in AI training: subjective, taste-dependent work. They generate long-horizon training data for frontier models by observing and capturing what specialists actually do on the job. Congrats on the launch, Lance Yan and Zachary Yu!

Traverse (Traverse (YC W26)) is a data research lab solving the hardest problem in AI training: subjective, taste-dependent work. They generate long-horizon training data for frontier models by observing and capturing what specialists actually do on the job. Congrats on the launch, Lance Yan and Zachary Yu!

Y Combinator

77,518 次观看 • 6 个月前

Training better AI starts with better data — and better infrastructure. FileMarket AI Data Labs makes it possible for communities to contribute unique datasets, earn from them, and store it all on #Filecoin. Decentralized, secure, and built for the AI era. ⤵️

Training better AI starts with better data — and better infrastructure. FileMarket AI Data Labs makes it possible for communities to contribute unique datasets, earn from them, and store it all on #Filecoin. Decentralized, secure, and built for the AI era. ⤵️

Filecoin

41,274 次观看 • 1 年前

Crystal Palace - Oliver Glasner warm-up exercise - Scanning focus MD-1 training with focus on scanning and perceiving information forward before receiving the ball, here done with colour red or white. A simple exercise before adding more complexity with for-example a drill with: pressure from opponent.

Crystal Palace - Oliver Glasner warm-up exercise - Scanning focus MD-1 training with focus on scanning and perceiving information forward before receiving the ball, here done with colour red or white. A simple exercise before adding more complexity with for-example a drill with: pressure from opponent.

Albin Sheqiri

75,140 次观看 • 11 个月前