Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Pre-programmed backflips are fun, but open-ended reasoning is the real challenge for robots. 🤖 Hannah Fry stepped inside the lab to see how we’re building agents that can understand context and figure things out for themselves – rather than just following a script. Watch our bonus episode ↓

GoogleDeepMind's profile picture

Google DeepMind

1,467,260 subscribers

228,190 Aufrufe • vor 8 Monaten •via X (Twitter)

BildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Jamie Dimon, we’re coming for you. Kontigo is building the largest bank in the world. (A “full-stack” AI stablecoin bank). Most “stablecoin neobanks” are just Bridge wrappers with no real distribution. We’re building our own infrastructure to replace traditional banks. Our infra lets humans and agents transact on top of open networks (blockchains) and local stablecoins. “A startup building agents for law firms could just build the AI law firm.” We’re doing the same for banking. Disclaimer: Kontigo is not a bank. Banking services are provided by the freaking blockchain.
1:12

Jamie Dimon, we’re coming for you. Kontigo is building the largest bank in the world. (A “full-stack” AI stablecoin bank). Most “stablecoin neobanks” are just Bridge wrappers with no real distribution. We’re building our own infrastructure to replace traditional banks. Our infra lets humans and agents transact on top of open networks (blockchains) and local stablecoins. “A startup building agents for law firms could just build the AI law firm.” We’re doing the same for banking. Disclaimer: Kontigo is not a bank. Banking services are provided by the freaking blockchain.

Jesus A. Castillo F.

22,731 Aufrufe • vor 7 Monaten

Elon Musk says Tesla is building an “Optimus Academy” so the robots can perform different tasks in the real world. “We’re going to need to build a lot of robots, and put them into a Optimus Academy, so they can do self-play in reality. We’re actually building that out, we’re going to have at least 10-30K Optimus robots that are testing different tasks.”
1:00

Elon Musk says Tesla is building an “Optimus Academy” so the robots can perform different tasks in the real world. “We’re going to need to build a lot of robots, and put them into a Optimus Academy, so they can do self-play in reality. We’re actually building that out, we’re going to have at least 10-30K Optimus robots that are testing different tasks.”

Nic Cruz Patane

20,052 Aufrufe • vor 6 Monaten

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥
0:51

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥

NVIDIA Robotics

21,664 Aufrufe • vor 4 Monaten

The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.
1:31:59

The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.

Robert Scoble

17,484 Aufrufe • vor 3 Monaten

Teaching AI to understand Web3 isn’t just about large language models, it’s about context, protocols, and on-chain logic. 🧠 We’re building the missing layer that makes AI useful for Web3. Watch how 👇
0:48

Teaching AI to understand Web3 isn’t just about large language models, it’s about context, protocols, and on-chain logic. 🧠 We’re building the missing layer that makes AI useful for Web3. Watch how 👇

Datai Network

39,233 Aufrufe • vor 1 Jahr

$5.5M Deal Sealed: The Da Sheng D12 Goes from "Demo" to "Deployed" 🤖💰 Big commercial win for 58 Intelligent Technology: They’ve officially secured a RMB 40 million (~$5.5M USD) industrial order for their humanoid robots. Their flagship model, Da Sheng D12, isn't just doing backflips in a lab anymore. It’s clocked in and working. We’re talking real-world deployments ranging from factory assembly lines to security patrol routes. This is another solid step forward for the industry, proving these robots are ready for the real world.
0:40

$5.5M Deal Sealed: The Da Sheng D12 Goes from "Demo" to "Deployed" 🤖💰 Big commercial win for 58 Intelligent Technology: They’ve officially secured a RMB 40 million (~$5.5M USD) industrial order for their humanoid robots. Their flagship model, Da Sheng D12, isn't just doing backflips in a lab anymore. It’s clocked in and working. We’re talking real-world deployments ranging from factory assembly lines to security patrol routes. This is another solid step forward for the industry, proving these robots are ready for the real world.

RoboHub🤖

21,166 Aufrufe • vor 8 Monaten

Many on the left HATE to see the fact that troops are happy about the $1,776 bonus they are getting. Rather than just saying congrats and thank you for your service. Many on the left feel the need to try to discredit Trump, or say things like “You’re excited over that little bonus? Couldn’t be me..” Their TDS is so strong that can’t just be happy for our troops and move on.
2:00

Many on the left HATE to see the fact that troops are happy about the $1,776 bonus they are getting. Rather than just saying congrats and thank you for your service. Many on the left feel the need to try to discredit Trump, or say things like “You’re excited over that little bonus? Couldn’t be me..” Their TDS is so strong that can’t just be happy for our troops and move on.

Jeffery Mead

144,679 Aufrufe • vor 8 Monaten

Weekends are for research. Inside OptimAI labs, we’ve been pushing agents beyond the screen. A first glimpse of OptimAI Prime. Not just agents that think, but agents that operate. Learning through reinforcement, coordinating across the network, and executing in real-world environments. From digital workflows → to physical actions. This is the next step for the agent-native internet.🤖 Still early. But already in motion.
1:21

Weekends are for research. Inside OptimAI labs, we’ve been pushing agents beyond the screen. A first glimpse of OptimAI Prime. Not just agents that think, but agents that operate. Learning through reinforcement, coordinating across the network, and executing in real-world environments. From digital workflows → to physical actions. This is the next step for the agent-native internet.🤖 Still early. But already in motion.

OptimAI Network

20,719 Aufrufe • vor 3 Monaten

Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: ❓Motivation: Most coding agents today can plan, edit, run, and test code. But they still fail at a key part of real-world development, understanding the user! Underspecified, shifting, or context-dependent instructions can easily break them. You must have those moments when coding agents were running for 10 minutes and ended up producing things largely misaligned. (1/)
0:39

Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: ❓Motivation: Most coding agents today can plan, edit, run, and test code. But they still fail at a key part of real-world development, understanding the user! Underspecified, shifting, or context-dependent instructions can easily break them. You must have those moments when coding agents were running for 10 minutes and ended up producing things largely misaligned. (1/)

Xuhui Zhou

40,202 Aufrufe • vor 9 Monaten

Robots and smart devices are about to get a massive upgrade. 🤖 Forget clunky GPS or special markers. We’re talking about machines that can understand their exact position & orientation in the real world just by SEEING IT. This is the future of machine perception, and it's happening now. 👇
0:21

Robots and smart devices are about to get a massive upgrade. 🤖 Forget clunky GPS or special markers. We’re talking about machines that can understand their exact position & orientation in the real world just by SEEING IT. This is the future of machine perception, and it's happening now. 👇

Over the Reality 🌐

266,553 Aufrufe • vor 11 Monaten

2026 is the year of the robot, but developer tools are stuck in workflows similar to 2009 pre-GitHub software workflows. We’re changing that at Tnkr, building workflows so developers can, build, fork, mod/remix, and deploy more robots in the real world! Happy new year !
0:36

2026 is the year of the robot, but developer tools are stuck in workflows similar to 2009 pre-GitHub software workflows. We’re changing that at Tnkr, building workflows so developers can, build, fork, mod/remix, and deploy more robots in the real world! Happy new year !

Ayo

44,231 Aufrufe • vor 7 Monaten

Disney is doing what only Disney can: spending massive R&D budgets to make robots "lovable." 💸🤖 By solving the physics of character animation with Olaf, they are creating the blueprint for mainstream acceptance. Here is how startups like Cartwheel, Sunday & Tangible are following that lead to get robots into our homes. 👇
0:49

Disney is doing what only Disney can: spending massive R&D budgets to make robots "lovable." 💸🤖 By solving the physics of character animation with Olaf, they are creating the blueprint for mainstream acceptance. Here is how startups like Cartwheel, Sunday & Tangible are following that lead to get robots into our homes. 👇

Humanoids daily

60,341 Aufrufe • vor 8 Monaten

Our parliament is being held hostage by individuals who believe that they have a better use for it. So we need to figure out how we can SAVE our parliament. Watch the latest episode of #Properganda
1:53

Our parliament is being held hostage by individuals who believe that they have a better use for it. So we need to figure out how we can SAVE our parliament. Watch the latest episode of #Properganda

International Kandizzle ✈️

35,900 Aufrufe • vor 2 Jahren

Are you ready for the Bad Mad Robot invasion? 🤖 We tested the closed beta with many legends. BADMAD ROBOTS is pushing the challenge! It was my pleasure to be there. You can see how you can get many rewards such as Closed Beta, Ambassador Program and ROBOTS BOX in the article below 👇
5:29

Are you ready for the Bad Mad Robot invasion? 🤖 We tested the closed beta with many legends. BADMAD ROBOTS is pushing the challenge! It was my pleasure to be there. You can see how you can get many rewards such as Closed Beta, Ambassador Program and ROBOTS BOX in the article below 👇

TSUBASA 🥷🎮

26,122 Aufrufe • vor 1 Jahr

Doug Ford’s legacy is an Ontario that’s harder and more expensive than ever to live in. But together, we can change all that. It’s time for a new Premier and a new government that is on your side, with real plans to get good things done for Ontarians. These are just a few of the new ideas we’re sharing with people all across the province. For more, check out:
1:12

Doug Ford’s legacy is an Ontario that’s harder and more expensive than ever to live in. But together, we can change all that. It’s time for a new Premier and a new government that is on your side, with real plans to get good things done for Ontarians. These are just a few of the new ideas we’re sharing with people all across the province. For more, check out:

Marit Stiles

22,179 Aufrufe • vor 1 Jahr

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.
39:27

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.

Movez

21,136 Aufrufe • vor 21 Tagen

#Watch : #MamataBanerjee explains to the audience who are mostly from rural #Bengal as what is a TELEPROMPTER Explains who uses it and how. This is hilarious! Even if you don’t understand the language, you can still figure out the fun.
1:06

#Watch : #MamataBanerjee explains to the audience who are mostly from rural #Bengal as what is a TELEPROMPTER Explains who uses it and how. This is hilarious! Even if you don’t understand the language, you can still figure out the fun.

Tamal Saha

77,555 Aufrufe • vor 4 Monaten

From clumsy movements to dexterous manipulation – how did robotics make such significant leaps? 🤖 Tune into our podcast episode with Hannah Fry and Carolina Parada – our Senior Director and Head of Robotics – to explore how our robots can see, understand, and reason about the world around them. Watch now ↓ Timestamps: 00:00 Introduction 01:46 Carolina's background 02:57 Current state of robotics 05:20 Gemini robotics videos 12:45 Conceptual understanding & multimodal capabilities 16:50 Embodied reasoning 21:00 Thinking fast and slow 27:44 Emerging properties 24:53 Looking back 34:28 Sim2real gap 37:00 Safety 42:00 Work to be done 45:00 Hannah's thoughts
46:10

From clumsy movements to dexterous manipulation – how did robotics make such significant leaps? 🤖 Tune into our podcast episode with Hannah Fry and Carolina Parada – our Senior Director and Head of Robotics – to explore how our robots can see, understand, and reason about the world around them. Watch now ↓ Timestamps: 00:00 Introduction 01:46 Carolina's background 02:57 Current state of robotics 05:20 Gemini robotics videos 12:45 Conceptual understanding & multimodal capabilities 16:50 Embodied reasoning 21:00 Thinking fast and slow 27:44 Emerging properties 24:53 Looking back 34:28 Sim2real gap 37:00 Safety 42:00 Work to be done 45:00 Hannah's thoughts

Google DeepMind

46,956 Aufrufe • vor 1 Jahr

It's easy for robots to nail a demo. It's much harder to get them to work reliably in the real world. The bottleneck is data. At Axis Robotics we're building a compounding data engine that combines simulation, ego-centric data and DAgger correction data at scale. Watch our CEO ChrisF(✱,✱) break down the data bottleneck, why messy data can still train good models, and what it takes to get robots out of the lab with blocmates. ⬇️
29:39

It's easy for robots to nail a demo. It's much harder to get them to work reliably in the real world. The bottleneck is data. At Axis Robotics we're building a compounding data engine that combines simulation, ego-centric data and DAgger correction data at scale. Watch our CEO ChrisF(✱,✱) break down the data bottleneck, why messy data can still train good models, and what it takes to get robots out of the lab with blocmates. ⬇️

Axis Robotics

20,679 Aufrufe • vor 6 Tagen