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。

Autonomous driving simulation via AI generation is one of those applications where the value compounds with scale. More generated edge-case scenarios means more training coverage means better safety performance. The generation quality floor is what determines whether this is useful.

The AltMan

99,716 subscribers

21,693 次观看 • 14 天前 •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

There is my prediction on where RAG is headed. In this video i talk about - Shift from RAG as question-answering systems to report generation tools - Importance of well-designed templates and SOPs in driving business value (selling to people with money) - Room for AI-generated templates and template marketplaces to do better generation with AI tools

There is my prediction on where RAG is headed. In this video i talk about - Shift from RAG as question-answering systems to report generation tools - Importance of well-designed templates and SOPs in driving business value (selling to people with money) - Room for AI-generated templates and template marketplaces to do better generation with AI tools

jason

184,645 次观看 • 2 年前

.Polymath is training world generation models to automate the creation of RL environments. Traditionally, RL environment generation has been bottlenecked by human data. Superintelligence will never be achieved by human data alone. Polymath is building the core technology to enable automated environment generation using far less human effort than traditionally required, and eventually none. This allows for more complex and realistic worlds, and higher quality, scale, and diversity of tasks. This will be essential to unlock RL scaling. The end goal is to create large-scale, long-horizon environments from a text description alone. This will enable the creation of worlds of arbitrary complexity and scale, which is foundational for training & evaluating autonomous, superintelligent AI agents. Congrats on the launch, Dylan Ma and Naren Yenuganti!

.Polymath is training world generation models to automate the creation of RL environments. Traditionally, RL environment generation has been bottlenecked by human data. Superintelligence will never be achieved by human data alone. Polymath is building the core technology to enable automated environment generation using far less human effort than traditionally required, and eventually none. This allows for more complex and realistic worlds, and higher quality, scale, and diversity of tasks. This will be essential to unlock RL scaling. The end goal is to create large-scale, long-horizon environments from a text description alone. This will enable the creation of worlds of arbitrary complexity and scale, which is foundational for training & evaluating autonomous, superintelligent AI agents. Congrats on the launch, Dylan Ma and Naren Yenuganti!

Y Combinator

44,192 次观看 • 5 个月前

AI in Motion: Autonomous Driving and Real-World Systems Live from NVIDIA GTC 2026, our correspondent Robert Scoble Robert Scoble is on the expo floor where AI is moving from theory into real-world applications—spanning robotics, AI infrastructure, and autonomous driving. The trend is clear: AI is rapidly expanding into robotics, intelligent manufacturing, and autonomous systems. Watch our Day 2 field report and stay with us as we continue exploring the future of AI. #AI #GTC2026 #Robotics #AutonomousDriving #NVIDIA

AI in Motion: Autonomous Driving and Real-World Systems Live from NVIDIA GTC 2026, our correspondent Robert Scoble Robert Scoble is on the expo floor where AI is moving from theory into real-world applications—spanning robotics, AI infrastructure, and autonomous driving. The trend is clear: AI is rapidly expanding into robotics, intelligent manufacturing, and autonomous systems. Watch our Day 2 field report and stay with us as we continue exploring the future of AI. #AI #GTC2026 #Robotics #AutonomousDriving #NVIDIA

China Asset Management

62,948 次观看 • 4 个月前

Vampire: The Masquerade - Bloodlines 2 is launching with AI-powered DLSS 4 with Multi Frame Generation for maximum performance #RTXOn Learn More:

Vampire: The Masquerade - Bloodlines 2 is launching with AI-powered DLSS 4 with Multi Frame Generation for maximum performance #RTXOn Learn More:

NVIDIA GeForce

45,400 次观看 • 11 个月前

Rivian CEO: Rivian's strategy to catch up to Tesla in self driving is to integrate LiDAR with high quality cameras for better safety and edge case handling. This hardware strategy is designed to accelerate Rivian’s software training and quickly close the gap between the two platforms. $rivn $tsla $lcid $ev

Rivian CEO: Rivian's strategy to catch up to Tesla in self driving is to integrate LiDAR with high quality cameras for better safety and edge case handling. This hardware strategy is designed to accelerate Rivian’s software training and quickly close the gap between the two platforms. $rivn $tsla $lcid $ev

MoreGainzs

291,335 次观看 • 5 个月前

China Accelerates Deployment of Humanoid Robots in Real Scenarios. 🇨🇳 China is pushing humanoids and embodied AI into factories, logistics, retail, healthcare, safety, emergency response, and disaster prevention. The key is the real-robot data loop: train in real sites, collect task data, then use it to improve models, hardware components, safety, and deployment. The 2026 target is clear: 100+ high-value scenarios and the capability for 10,000-unit-scale rollout. For humanoids, this is the shift that matters: fewer staged moves, more useful work.

China Accelerates Deployment of Humanoid Robots in Real Scenarios. 🇨🇳 China is pushing humanoids and embodied AI into factories, logistics, retail, healthcare, safety, emergency response, and disaster prevention. The key is the real-robot data loop: train in real sites, collect task data, then use it to improve models, hardware components, safety, and deployment. The 2026 target is clear: 100+ high-value scenarios and the capability for 10,000-unit-scale rollout. For humanoids, this is the shift that matters: fewer staged moves, more useful work.

RoboHub🤖

15,750 次观看 • 2 个月前

AI video generation is advancing at an incredible pace and it's exciting to see tools that continue pushing the boundaries of what's possible. Better motion consistency, stronger prompt adherence and more polished results are making AI an even more powerful creative partner. Seedance 2.5 on Morphic is definitely one of the developments I'm excited to explore. It's great to see Morphic AI bringing cutting edge video models to creators and making high-quality AI video generation more accessible. Looking forward to seeing the creative projects the community builds and how this technology continues to evolve. Seedance 2.5 on Morphic 🚀

AI video generation is advancing at an incredible pace and it's exciting to see tools that continue pushing the boundaries of what's possible. Better motion consistency, stronger prompt adherence and more polished results are making AI an even more powerful creative partner. Seedance 2.5 on Morphic is definitely one of the developments I'm excited to explore. It's great to see Morphic AI bringing cutting edge video models to creators and making high-quality AI video generation more accessible. Looking forward to seeing the creative projects the community builds and how this technology continues to evolve. Seedance 2.5 on Morphic 🚀

NIJ Ruvos

34,043 次观看 • 7 天前

✨ Just tested Seedance 2.5 on Loova AI, and the upgrade is amazing. Better motion, cinematic quality, and more consistent characters make every generation look more polished. Try it yourself 👇

✨ Just tested Seedance 2.5 on Loova AI, and the upgrade is amazing. Better motion, cinematic quality, and more consistent characters make every generation look more polished. Try it yourself 👇

Romana

10,423 次观看 • 11 天前

The more you hear Dipke, Ranka, Saurav, Neha and Aishe the more convinced you are what Amit Behere says, Budhau generation is the most vile and rotten generation of this country..

The more you hear Dipke, Ranka, Saurav, Neha and Aishe the more convinced you are what Amit Behere says, Budhau generation is the most vile and rotten generation of this country..

Pankaj

73,617 次观看 • 12 天前

We're investing £39 billion to deliver the biggest boost to social and affordable housing in a generation, with more homes already under construction. 🚧🏘️ This is just the beginning - more homes, better quality, and residents at the heart of it all.

We're investing £39 billion to deliver the biggest boost to social and affordable housing in a generation, with more homes already under construction. 🚧🏘️ This is just the beginning - more homes, better quality, and residents at the heart of it all.

Steve Reed

14,217 次观看 • 1 个月前

70% more compute performance, up to 256 high-performance Zen 6 cores, built on TSMC's 2nm process. Meet Venice, our next-generation EPYC processor. It's engineered for more performance, better efficiency, and outstanding TCO. The CPU's role in AI is vital, and Venice is ready. #AdvancingAI

70% more compute performance, up to 256 high-performance Zen 6 cores, built on TSMC's 2nm process. Meet Venice, our next-generation EPYC processor. It's engineered for more performance, better efficiency, and outstanding TCO. The CPU's role in AI is vital, and Venice is ready. #AdvancingAI

AMD

46,825 次观看 • 1 年前

"The tradesman are the new millionaires." "There is going to come a time where this generation from young young kids to 15 years old, not one of them is looking to dig a hole with a shovel." "AI is going to take a lot of jobs, but certain things they won't be able to do and those are the things where the value is going to come." SPOT ON!!

"The tradesman are the new millionaires." "There is going to come a time where this generation from young young kids to 15 years old, not one of them is looking to dig a hole with a shovel." "AI is going to take a lot of jobs, but certain things they won't be able to do and those are the things where the value is going to come." SPOT ON!!

AmericanPapaBear™

114,764 次观看 • 9 个月前

kai is one of the strongest vocalist of this generation and i need more people to bring that up

kai is one of the strongest vocalist of this generation and i need more people to bring that up

ִ ࣪𖤐 mahi the wizard 🧷

14,400 次观看 • 3 个月前

This is Flint Image 🔥 Still generating images one by one? Generate four images from a single prompt for 67% less than standard generation. Same quality. More options. One generation. The math speaks for itself. Try it now!

This is Flint Image 🔥 Still generating images one by one? Generate four images from a single prompt for 67% less than standard generation. Same quality. More options. One generation. The math speaks for itself. Try it now!

each::labs

154,673 次观看 • 23 天前

A lot of AI debate gets stuck on whether the technology is “real.” The more useful question is economic: if it works, who benefits, how fast, and under what rules?

A lot of AI debate gets stuck on whether the technology is “real.” The more useful question is economic: if it works, who benefits, how fast, and under what rules?

Justin Wolfers

12,616 次观看 • 3 个月前

Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible. These videos are entirely synthetically generated by Wayve's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving. Why is this game-changing for autonomous driving? 1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety. 2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving. 3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario. Check out many more videos in our blog or further technical details in our paper: Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 Jamie Shotton

Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible. These videos are entirely synthetically generated by Wayve's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving. Why is this game-changing for autonomous driving? 1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety. 2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving. 3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario. Check out many more videos in our blog or further technical details in our paper: Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 Jamie Shotton

Alex Kendall

631,869 次观看 • 2 年前

30% of code at top tech companies is now AI-generated. Most engineering leaders have no idea what that means for speed, quality, or ROI. Nivara ( gives them visibility into how humans and AI build together. The future of engineering is hybrid.

30% of code at top tech companies is now AI-generated. Most engineering leaders have no idea what that means for speed, quality, or ROI. Nivara ( gives them visibility into how humans and AI build together. The future of engineering is hybrid.

Y Combinator

26,668 次观看 • 9 个月前

What does generative transformation look like beyond adopting AI tools? It’s not more pilots. It’s not more tools. It’s building a system that compounds value. At IBM Think, a few takeaways from my conversation with Blue Polaris: → A clear “North Star” that aligns every AI initiative → Governance and trust as prerequisites → 10x ROI means nothing if you can’t scale → A shift from one-off projects to scalable platforms And the underrated edge? Community. The IBM Partner ecosystem is accelerating learning in real time. Generative transformation is a discipline. Watch our full conversation: #IBMPartner #Think26 #IBMPartnerPlus #BluePolaris

What does generative transformation look like beyond adopting AI tools? It’s not more pilots. It’s not more tools. It’s building a system that compounds value. At IBM Think, a few takeaways from my conversation with Blue Polaris: → A clear “North Star” that aligns every AI initiative → Governance and trust as prerequisites → 10x ROI means nothing if you can’t scale → A shift from one-off projects to scalable platforms And the underrated edge? Community. The IBM Partner ecosystem is accelerating learning in real time. Generative transformation is a discipline. Watch our full conversation: #IBMPartner #Think26 #IBMPartnerPlus #BluePolaris

Helen Yu

12,482 次观看 • 3 个月前

. bridges Solana's base protocol layer with every app, user, and participant in the ecosystem. Bam is the next generation. ACE gives applications more control over how transactions interacting with them are processed. Better liquidity. Better execution. Users first. Brian

. bridges Solana's base protocol layer with every app, user, and participant in the ecosystem. Bam is the next generation. ACE gives applications more control over how transactions interacting with them are processed. Better liquidity. Better execution. Users first. Brian

Solana

155,278 次观看 • 4 个月前