Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Startups are building the modern infrastructure that lets engineers move from data janitors to robot builders. Some players to watch: @Foxglove, @rerun_io, @Roboto_AI, and more. (Please tag them) The first breakthrough… Making data observable:

Ilir Aliu

52,002 subscribers

35,232 views • 10 months ago •via X (Twitter)

Science & Technology News & Politics

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

⚡️More data, more services, more ways to monetize. Unlock new monetization opportunities with Dockerized services, data efficiency, and flexible, decentralized infrastructure. 🌐It’s not about the hardware, it’s about building an infrastructure that scales with you.

⚡️More data, more services, more ways to monetize. Unlock new monetization opportunities with Dockerized services, data efficiency, and flexible, decentralized infrastructure. 🌐It’s not about the hardware, it’s about building an infrastructure that scales with you.

POPAI

10,789 views • 1 year ago

Some of these data centres are really so large they are data cities. Please watch and consider what these ‘data cities’ are really for - monitoring you and you are paying for them.

Some of these data centres are really so large they are data cities. Please watch and consider what these ‘data cities’ are really for - monitoring you and you are paying for them.

Andrew Bridgen

11,031 views • 1 month ago

ANNOUNCEMENT: The first community conference on modern data governance is here! It’s time to #regovern ✨ Join us on Oct 5 as we reimagine data governance with modern data leaders from Autodesk ,Elastic, HelloFresh US,Nasdaq, and more! Save your spot:

ANNOUNCEMENT: The first community conference on modern data governance is here! It’s time to #regovern ✨ Join us on Oct 5 as we reimagine data governance with modern data leaders from Autodesk ,Elastic, HelloFresh US,Nasdaq, and more! Save your spot:

Atlan

11,093 views • 2 years ago

Ex-Google CEO Eric Schmidt tells UK PM Keir Starmer that building more AI data centers and investing in the energy infrastructure to power them will paradoxically solve energy issues much quicker

Ex-Google CEO Eric Schmidt tells UK PM Keir Starmer that building more AI data centers and investing in the energy infrastructure to power them will paradoxically solve energy issues much quicker

Tsarathustra

61,250 views • 1 year ago

Are Data Centers Worth the Noise to Local Communities? "Multiple cities of people have filed lawsuits and complaints against these data centers because of the noise." "The first question I ask myself is, are we gonna need data centers in America? Yes, if we wanna compete in the modern world, in the modern economy, we are going to need them. They are good for society and good for the economy."

Are Data Centers Worth the Noise to Local Communities? "Multiple cities of people have filed lawsuits and complaints against these data centers because of the noise." "The first question I ask myself is, are we gonna need data centers in America? Yes, if we wanna compete in the modern world, in the modern economy, we are going to need them. They are good for society and good for the economy."

PBD Podcast

32,573 views • 1 month ago

One approach to collecting data for contact-rich manipulation is handheld grippers. These devices let the operator feel contact with objects and the environment directly through the mechanism. To make sure the data collected transfers to the robot, we've co-designed handheld and robot grippers: same linkage mechanisms, same degrees of freedom, same force transmission. The Koala platform lets the human feel through the linkages what the robot will feel through its actuators. Watch to learn more about our gripper designs, data collection approach, and policy training:

One approach to collecting data for contact-rich manipulation is handheld grippers. These devices let the operator feel contact with objects and the environment directly through the mechanism. To make sure the data collected transfers to the robot, we've co-designed handheld and robot grippers: same linkage mechanisms, same degrees of freedom, same force transmission. The Koala platform lets the human feel through the linkages what the robot will feel through its actuators. Watch to learn more about our gripper designs, data collection approach, and policy training:

RAI Institute

23,201 views • 1 month ago

We went to Texas to see the future of America's AI infrastructure: massive data centers and startups racing to build nuclear reactors to power them. Here's a preview of our next two documentaries.

We went to Texas to see the future of America's AI infrastructure: massive data centers and startups racing to build nuclear reactors to power them. Here's a preview of our next two documentaries.

Soon

34,852 views • 2 months ago

We're making one of the world's most data-rich organizations more accessible with Football AI Pro, a customized AI assistant that can read vast amounts of @FIFA data to deliver information to players, coaches, and fans in seconds. Learn more:

We're making one of the world's most data-rich organizations more accessible with Football AI Pro, a customized AI assistant that can read vast amounts of @FIFA data to deliver information to players, coaches, and fans in seconds. Learn more:

Lenovo

4,034,664 views • 5 months ago

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

Adaptyv Bio

13,092 views • 13 days ago

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:

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 views • 1 year ago

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)

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 evencheaper with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

Abhishek Gupta

13,336 views • 1 year ago

Six teams. Twelve weeks. One AI incubator from @nearhorizon. From synthetic open data layers to GPU computing, dive into the six projects in the latest HZN incubator that are building the infrastructure for user-owned AI.

Six teams. Twelve weeks. One AI incubator from @nearhorizon. From synthetic open data layers to GPU computing, dive into the six projects in the latest HZN incubator that are building the infrastructure for user-owned AI.

NEAR Protocol

368,631 views • 2 years ago

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

CherryAI Robotics

105,357 views • 9 months ago

Introduce Open-𝐓𝐞𝐥𝐞𝐕𝐢𝐬𝐢𝐨𝐧🤖: ⁣ We need an intuitive and remote teleoperation interface to collect more robot data. 𝐓𝐞𝐥𝐞𝐕𝐢𝐬𝐢𝐨𝐧 lets you immersively operate a robot even if you are 3000 miles away, like in the movie 𝘈𝘷𝘢𝘵𝘢𝘳. Open-sourced!

Introduce Open-𝐓𝐞𝐥𝐞𝐕𝐢𝐬𝐢𝐨𝐧🤖: ⁣ We need an intuitive and remote teleoperation interface to collect more robot data. 𝐓𝐞𝐥𝐞𝐕𝐢𝐬𝐢𝐨𝐧 lets you immersively operate a robot even if you are 3000 miles away, like in the movie 𝘈𝘷𝘢𝘵𝘢𝘳. Open-sourced!

Xuxin Cheng

329,376 views • 1 year ago

Ready to flip the script on business planning? 🔄📝💡 Decision Intelligence starts with outcomes, finds the data that matters, & lets you test moves before making them. See how working backwards can move your business forward. #AWS 👉

Ready to flip the script on business planning? 🔄📝💡 Decision Intelligence starts with outcomes, finds the data that matters, & lets you test moves before making them. See how working backwards can move your business forward. #AWS 👉

Amazon Web Services

13,292 views • 8 months ago

New Jersey residents are noticing construction crews surveying and replacing lines to upgrade power infrastructure for Data Centers Residents are paying for these upgrades These lines being updated are for a data center that’s not even close, it’s across the bridge 20 minutes away This is happening across Fairless Hills, Bristol, Middletown, and surrounding Bucks County spots due to multiple data center projects New Jersey already has 80+ data centers with more planned so these updates are happening everywhere Residents in these areas are already paying some of the power costs and grid upgrades related to data centers Welcome to corporate socialism. Money is taken from you to pay for the data centers infrastructure, but they won’t share any of the profits with you It’s called socialized losses and privatized profits

New Jersey residents are noticing construction crews surveying and replacing lines to upgrade power infrastructure for Data Centers Residents are paying for these upgrades These lines being updated are for a data center that’s not even close, it’s across the bridge 20 minutes away This is happening across Fairless Hills, Bristol, Middletown, and surrounding Bucks County spots due to multiple data center projects New Jersey already has 80+ data centers with more planned so these updates are happening everywhere Residents in these areas are already paying some of the power costs and grid upgrades related to data centers Welcome to corporate socialism. Money is taken from you to pay for the data centers infrastructure, but they won’t share any of the profits with you It’s called socialized losses and privatized profits

Wall Street Apes

58,685 views • 1 month ago

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,297 views • 7 months ago

Today’s data shows that when it comes to growing our economy, building more homes, incentivising investment and boosting wages and incomes, we are making a lot of progress together.

Today’s data shows that when it comes to growing our economy, building more homes, incentivising investment and boosting wages and incomes, we are making a lot of progress together.

Jim Chalmers MP

24,416 views • 6 months ago

Mecka is excited to power EgoVerse: a growing ecosystem for robot learning from egocentric human data Proven across 4 leading research labs, EgoVerse data consistently boosts robot performance We release the tools for anyone to collect data, inference/train, and contribute! 🧵

Mecka is excited to power EgoVerse: a growing ecosystem for robot learning from egocentric human data Proven across 4 leading research labs, EgoVerse data consistently boosts robot performance We release the tools for anyone to collect data, inference/train, and contribute! 🧵

Josh

102,105 views • 3 months ago

🇭🇷🇩🇪Croatian citizens are emigrating en masse from Germany, according to new data. New data from the German statistics office (Destatis) confirms the trend of Croatian citizens emigrating from the country, which has been rumored for some time. According to official data, last year, just over 11,000 Croatians immigrated to Germany, while more than 22,000 emigrated. According to data from 2025, around 15,000 Croatian citizens returned to Croatia last year, and some estimates go up to 25,000 returnees.

🇭🇷🇩🇪Croatian citizens are emigrating en masse from Germany, according to new data. New data from the German statistics office (Destatis) confirms the trend of Croatian citizens emigrating from the country, which has been rumored for some time. According to official data, last year, just over 11,000 Croatians immigrated to Germany, while more than 22,000 emigrated. According to data from 2025, around 15,000 Croatian citizens returned to Croatia last year, and some estimates go up to 25,000 returnees.

Daily Croatia 🇭🇷

85,998 views • 3 months ago