Загрузка видео...

Не удалось загрузить видео

На главную

Almost every Data episode is about him learning about a new life experience and this time on Star Trek TNG Data learns to understand suicide. I love the immediate concern Geordi has for Data when he brings up having a similar experience in the past :(

archaicf0ssil's profile picture

Yaffa the Lesbian Witch🖖

6,303 subscribers

31,541 просмотров • 7 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

How does today’s college experience contrast with the past? Well, according to the data ... there’s less learning and less teaching. Our new Short has the details.
2:41

How does today’s college experience contrast with the past? Well, according to the data ... there’s less learning and less teaching. Our new Short has the details.

Kite & Key Media

803,545 просмотров • 9 месяцев назад

NEW: CAVA CEO says businesses are entering a decade of data transformation. It's all about using new tech to unlock the power of data and connect the dots across inputs to improve customer experience, ops, and the health of the business. FULL:
1:16

NEW: CAVA CEO says businesses are entering a decade of data transformation. It's all about using new tech to unlock the power of data and connect the dots across inputs to improve customer experience, ops, and the health of the business. FULL:

Katie Perry

12,381 просмотров • 2 лет назад

For those who say I never answer whatever is their particular pet peeve on orbital data centers, this is a particularly dense interview covering a wide range of topics in a short time. Thanks for having me SpaceNews to talk about Starcloud and orbital data centers! 🤓
13:21

For those who say I never answer whatever is their particular pet peeve on orbital data centers, this is a particularly dense interview covering a wide range of topics in a short time. Thanks for having me SpaceNews to talk about Starcloud and orbital data centers! 🤓

Philip Johnston

11,907 просмотров • 3 месяцев назад

This MTN Ghana data draining issue is what I was talking about last time. I’ve had my data on for almost 6 days, and I’ve used only 454MB. But if I were using MTN with the same activity, I would have used almost 9GB.
2:38

This MTN Ghana data draining issue is what I was talking about last time. I’ve had my data on for almost 6 days, and I’ve used only 454MB. But if I were using MTN with the same activity, I would have used almost 9GB.

Tech In Twi

115,625 просмотров • 6 дней назад

So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)
0:41

So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

Abhishek Gupta

13,358 просмотров • 1 год назад

McLaurin on the questions about his age - The data is the data but some people are outliers…In January I took a screen pass 60 yards for a TD
1:28

McLaurin on the questions about his age - The data is the data but some people are outliers…In January I took a screen pass 60 yards for a TD

JP Finlay

66,399 просмотров • 1 год назад

We need the data centers. We have to win the AI race. My guest for episode 5 of Counterweight is Manhattan Institute's Judge Glock. This spring he wrote about Loudoun County, VA in City Journal. Loudoun, one of the richest counties in America, with a median household income of around $170,000, has become the unlikely center of a new data center-based industrial revolution. And it's not just Loudoun. Data center construction is up about twenty times nationwide in three years, leading to an enormous political backlash. New York State imposed a moratorium on data center construction, and even Republican Greg Abbott of Texas has put a temporary pause in place. Meanwhile, speaking for myself, I’ve seen a ton of fear-mongering about them, with very little in the way of clear explanation of what the costs and benefits are and what they mean for the localities that might bring them in. I've brought Judge on to walk through in granular detail how data centers work, how Loudoun County became ground zero for the data center boom, and the recent pushback against data centers. We also talk about the unfortunate habit that AI CEOs have of seeming like the gloomiest people in the world in relation to the products they are trying to sell.
40:20

We need the data centers. We have to win the AI race. My guest for episode 5 of Counterweight is Manhattan Institute's Judge Glock. This spring he wrote about Loudoun County, VA in City Journal. Loudoun, one of the richest counties in America, with a median household income of around $170,000, has become the unlikely center of a new data center-based industrial revolution. And it's not just Loudoun. Data center construction is up about twenty times nationwide in three years, leading to an enormous political backlash. New York State imposed a moratorium on data center construction, and even Republican Greg Abbott of Texas has put a temporary pause in place. Meanwhile, speaking for myself, I’ve seen a ton of fear-mongering about them, with very little in the way of clear explanation of what the costs and benefits are and what they mean for the localities that might bring them in. I've brought Judge on to walk through in granular detail how data centers work, how Loudoun County became ground zero for the data center boom, and the recent pushback against data centers. We also talk about the unfortunate habit that AI CEOs have of seeming like the gloomiest people in the world in relation to the products they are trying to sell.

Will Chamberlain

21,345 просмотров • 10 дней назад

I've gotten some questions about what exactly is and I am a terrible salesman and don't intend to use Twitter as a sales platform but very excited about the data platform an AI analytics I am doing for clients. This is about the data platform section
1:59

I've gotten some questions about what exactly is and I am a terrible salesman and don't intend to use Twitter as a sales platform but very excited about the data platform an AI analytics I am doing for clients. This is about the data platform section

Blume Industries CEO Balding 大老板

17,872 просмотров • 1 месяц назад

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!
1:33

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

DeepLearning.AI

20,833 просмотров • 2 лет назад

I think data centers will only grow as an issue in 2026, and by the time we get to 2028, it’ll be the biggest issue in politics, period. It’s because the data center issue isn’t really about data centered in a vacuum; it’s about control.
0:37

I think data centers will only grow as an issue in 2026, and by the time we get to 2028, it’ll be the biggest issue in politics, period. It’s because the data center issue isn’t really about data centered in a vacuum; it’s about control.

Rob Flaherty

11,721 просмотров • 24 дней назад

Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign
1:37

Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign

Big_Wealth❤️‍🔥

11,486 просмотров • 5 месяцев назад

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam
2:03

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam

Congress

13,901 просмотров • 6 месяцев назад

The magician that is Shaun McLaren ! 🪄 Shaun has been working with 18 practitioners in the mentorship community to advance their data skills and ability to code using R 💥 Here is a short snippet of a recent LIVE session 🎥 where he worked on helping practitioners understand detectable change in the data sets they’d been learning to visualise Feedback from one mentee says: 🗣️ “My progression 📈 in Data Skills has been above what I expected, all down to the way the course has been designed and taught. Shaun is a master on Excel and R, but he has managed to get a nice balance between showing, telling, and setting tasks. Everything moves at the right pace, allows you to manage around work and home life. The later live sessions also helps fit around family. Couldn’t have asked for more in a mentorship.” What to join one of the TWO new programmes in July? 🚀 1️⃣Data skills covers off all spreadsheets and powerbi to bring your data to life 2️⃣Advanced data skills takes those competent in the above to new heights using my code and r studio. Want in? Comment “data” below and I’ll send you more information! 👇👌 #data #visualisation #sportsscience #strengthandconditioning #physio #datascience
0:26

The magician that is Shaun McLaren ! 🪄 Shaun has been working with 18 practitioners in the mentorship community to advance their data skills and ability to code using R 💥 Here is a short snippet of a recent LIVE session 🎥 where he worked on helping practitioners understand detectable change in the data sets they’d been learning to visualise Feedback from one mentee says: 🗣️ “My progression 📈 in Data Skills has been above what I expected, all down to the way the course has been designed and taught. Shaun is a master on Excel and R, but he has managed to get a nice balance between showing, telling, and setting tasks. Everything moves at the right pace, allows you to manage around work and home life. The later live sessions also helps fit around family. Couldn’t have asked for more in a mentorship.” What to join one of the TWO new programmes in July? 🚀 1️⃣Data skills covers off all spreadsheets and powerbi to bring your data to life 2️⃣Advanced data skills takes those competent in the above to new heights using my code and r studio. Want in? Comment “data” below and I’ll send you more information! 👇👌 #data #visualisation #sportsscience #strengthandconditioning #physio #datascience

Dan Howells

10,990 просмотров • 2 лет назад

Data integrity is foundational to on-chain finance. “Space and Time $SXT is a database… [and] main goal is to make sure that people aren’t lying about the data.” — Nate Holiday, Co-Founder, Space and Time
0:34

Data integrity is foundational to on-chain finance. “Space and Time $SXT is a database… [and] main goal is to make sure that people aren’t lying about the data.” — Nate Holiday, Co-Founder, Space and Time

Grayscale

16,896 просмотров • 7 месяцев назад

ASML CEO on Elon Musk's Data Centers in space and Terafab: "I think you need a certain amount of data centers and they will be in space, they will be on the earth. I think the discussion about data centers in space is to address another potential bottleneck in the ecosystem, which is energy. I think the discussion around putting data center in space is there because if you do that, the energy consumption or the energy availability will be there, about trying to solve another potential big issue, which is energy for data center. I think the Terafab is an example of a major fab project."
1:45

ASML CEO on Elon Musk's Data Centers in space and Terafab: "I think you need a certain amount of data centers and they will be in space, they will be on the earth. I think the discussion about data centers in space is to address another potential bottleneck in the ecosystem, which is energy. I think the discussion around putting data center in space is there because if you do that, the energy consumption or the energy availability will be there, about trying to solve another potential big issue, which is energy for data center. I think the Terafab is an example of a major fab project."

DogeDesigner

48,139 просмотров • 2 месяцев назад

🚨Avi Loeb promises to reveal truth about UFOs... Why I don't Believe him. Loeb just appeared on NewsMax where he promised to tell the truth if he discovered alien life. He also went on to say: "It's not about what is being said in social media. There are lots of crackpots and a lot of people with conspiracy theories. That's completely irrelevant when we see objects that the Pentagon is unable to identify. It's a serious matter, because if adversarial nations produce those for espionage, we need to figure this out. And therefore, there needs to be more research, better data, rather than us obsessing with past reports that are incomplete. We should now build better sensors to protect the United States." Not so long ago Loeb threw a weak debunk based purely on opinion about the VASCO teams transient work. He has also stated that old data is useless and we need to focus on new data. This tells us what Loeb is really saying. "Better data" "Better sensors" translates into 'funding for the Galileo Project. That is why he is not interested in historical data, that is why he threw Beatriz and her team under the bus. While we are pushing for transparency about legacy programs, retrievals and such, Loeb is pushing for funding for his own gains. #ufotwitter #uapX #Disclosure
2:46

🚨Avi Loeb promises to reveal truth about UFOs... Why I don't Believe him. Loeb just appeared on NewsMax where he promised to tell the truth if he discovered alien life. He also went on to say: "It's not about what is being said in social media. There are lots of crackpots and a lot of people with conspiracy theories. That's completely irrelevant when we see objects that the Pentagon is unable to identify. It's a serious matter, because if adversarial nations produce those for espionage, we need to figure this out. And therefore, there needs to be more research, better data, rather than us obsessing with past reports that are incomplete. We should now build better sensors to protect the United States." Not so long ago Loeb threw a weak debunk based purely on opinion about the VASCO teams transient work. He has also stated that old data is useless and we need to focus on new data. This tells us what Loeb is really saying. "Better data" "Better sensors" translates into 'funding for the Galileo Project. That is why he is not interested in historical data, that is why he threw Beatriz and her team under the bus. While we are pushing for transparency about legacy programs, retrievals and such, Loeb is pushing for funding for his own gains. #ufotwitter #uapX #Disclosure

Skywatch Signal

19,706 просмотров • 2 месяцев назад