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 • 5 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 • 6 месяцев назад

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:
1:33

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

118,937 просмотров • 1 год 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

11,805 просмотров • 1 месяц 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

13,348 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

66,393 просмотров • 10 месяцев 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 • 1 год назад

We can only trust X 🚨 META/ Facebook planning to build data centers in China, store their data in China, and then GIVE THE CHINESE GOVERNMENT ACCESS to the data “In this document, Facebook is talking about making Chinese user data available to the Chinese government because they're going to store that data in China. Is that correct?” “Correct” “When you store that data in China, Americans who exchange messages or other information with Chinese Facebook users, that would mean the Chinese government could get access to the American data as well, is that correct? “Through the POP servers? Potentially.” “And Facebook was willing to take that risk?” “Yes. There was a lot of discussion about this and ultimately yes.” “I mean, this is, this is extraordinary. This is exactly contrary to what Facebook has represented for years here. They're willing to build data centers, store data in China. They are willing explicitly to give the Chinese government access to it”
1:00

We can only trust X 🚨 META/ Facebook planning to build data centers in China, store their data in China, and then GIVE THE CHINESE GOVERNMENT ACCESS to the data “In this document, Facebook is talking about making Chinese user data available to the Chinese government because they're going to store that data in China. Is that correct?” “Correct” “When you store that data in China, Americans who exchange messages or other information with Chinese Facebook users, that would mean the Chinese government could get access to the American data as well, is that correct? “Through the POP servers? Potentially.” “And Facebook was willing to take that risk?” “Yes. There was a lot of discussion about this and ultimately yes.” “I mean, this is, this is extraordinary. This is exactly contrary to what Facebook has represented for years here. They're willing to build data centers, store data in China. They are willing explicitly to give the Chinese government access to it”

Wall Street Apes

80,854 просмотров • 1 год 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 • 3 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

10,983 просмотров • 2 лет 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 • 4 месяцев 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 • 5 месяцев назад

The FBI has published the monthly update of reported crime and law enforcement data to the Crime Data Explorer at Watch the below video to learn more about how this data, available in this new release cadence, can help law enforcement crush violent crime.
0:48

The FBI has published the monthly update of reported crime and law enforcement data to the Crime Data Explorer at Watch the below video to learn more about how this data, available in this new release cadence, can help law enforcement crush violent crime.

FBI

31,078 просмотров • 10 месяцев назад

This is a farmer who tried to talk about data centers in the USA.
1:14

This is a farmer who tried to talk about data centers in the USA.

Zo Brown

602,740 просмотров • 18 дней 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 • 26 дней назад

Say goodbye to fragmented data and hello to a unified wellness experience. Introducing QVAC Health - The app that brings your data together in one, encrypted, offline-capable environment. QVAC - Your Device, Your AI Download the App now:👉
0:41

Say goodbye to fragmented data and hello to a unified wellness experience. Introducing QVAC Health - The app that brings your data together in one, encrypted, offline-capable environment. QVAC - Your Device, Your AI Download the App now:👉

QVAC

35,707 просмотров • 7 месяцев назад

every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.
0:48

every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

Adeniyi.sui

13,419 просмотров • 10 дней 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 • 20 дней назад

BLS Commissioner is a role that has never gone to an ideologue. It’s been for data nerds who care only about numbers. Put in someone with a record of distorting data, and every figure becomes tainted.
0:59

BLS Commissioner is a role that has never gone to an ideologue. It’s been for data nerds who care only about numbers. Put in someone with a record of distorting data, and every figure becomes tainted.

Justin Wolfers

23,182 просмотров • 11 месяцев назад