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。

Hello from #COMPUTEX2026. This is the year of agents, and it’s changing how computing needs to work. From device to data center, intelligence is distributed — and I'll show you what that means. Watch my June 1 keynote for more.

Cristiano R. Amon

94,152 subscribers

16,595 次观看 • 2 个月前 •via X (Twitter)

科学技术 #COMPUTEX2026

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

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

Cristiano R. Amon

15,783 次观看 • 1 个月前

Jensen Huang is on fire at CES 2026 Event 🎯 "How you run the software, how you develop the software fundamentally changed. The entire five-layer stack of the computer industry is being reinvented. You no longer program the software, you train the software. You don't run it on CPUs, you run it on GPUs. And whereas applications were pre-recorded, pre-compiled, and run on your device, now applications understand the context and generate every single pixel, every single token, completely from scratch every single time. Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence. Every single layer of that five-layer cake is now being reinvented. Well, what that means is some ten trillion dollars or so of the last decade of computing is now being modernized to this new way of doing computing. What that means is hundreds of billions of dollars, a couple of hundred billion dollars in VC funding each year, is going into modernize and inventing this new world. And what it means is a hundred trillion dollars of industry, several percent of which is R&D budget, is shifting over to artificial intelligence. People ask where is the money coming from? That's where the money is coming from. The modernization to AI, the shifting of R&D budgets from classical methods to now artificial intelligence methods. Enormous amounts of investments coming into this industry, which explains why we're so busy. And this last year was no difference. This last year was incredible. This last year... there's a slide coming."

Jensen Huang is on fire at CES 2026 Event 🎯 "How you run the software, how you develop the software fundamentally changed. The entire five-layer stack of the computer industry is being reinvented. You no longer program the software, you train the software. You don't run it on CPUs, you run it on GPUs. And whereas applications were pre-recorded, pre-compiled, and run on your device, now applications understand the context and generate every single pixel, every single token, completely from scratch every single time. Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence. Every single layer of that five-layer cake is now being reinvented. Well, what that means is some ten trillion dollars or so of the last decade of computing is now being modernized to this new way of doing computing. What that means is hundreds of billions of dollars, a couple of hundred billion dollars in VC funding each year, is going into modernize and inventing this new world. And what it means is a hundred trillion dollars of industry, several percent of which is R&D budget, is shifting over to artificial intelligence. People ask where is the money coming from? That's where the money is coming from. The modernization to AI, the shifting of R&D budgets from classical methods to now artificial intelligence methods. Enormous amounts of investments coming into this industry, which explains why we're so busy. And this last year was no difference. This last year was incredible. This last year... there's a slide coming."

Rohan Paul

185,568 次观看 • 7 个月前

A data center where compute and memory pool dynamically. Where millions of resources operate as one machine. Where architecture is defined by the needs of the workload, not the limits of connectivity. This vision of all-optical infrastructure points to a future with unprecedented scale, flexibility, and performance. Watch the closing moments from Marvell’s COMPUTEX 2026 keynote to see what’s possible. Watch the full keynote:

A data center where compute and memory pool dynamically. Where millions of resources operate as one machine. Where architecture is defined by the needs of the workload, not the limits of connectivity. This vision of all-optical infrastructure points to a future with unprecedented scale, flexibility, and performance. Watch the closing moments from Marvell’s COMPUTEX 2026 keynote to see what’s possible. Watch the full keynote:

Marvell Technology

32,573 次观看 • 25 天前

.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."

.Aaron Levie says AI agents may take years to diffuse from engineering into the rest of knowledge work. "The models are really good at code, and the work is verifiable." "You have 5 or 10 things that make agents work in an enterprise context for engineering." "The users are less technical, the data is much more fragmented, the systems are much more legacy." "That's why it's going to be a number of years for this diffusion to roll from what we're seeing in Silicon Valley, into the rest of knowledge work."

MTS

13,046 次观看 • 3 个月前

What a year! And what a year ahead🦄 For us it’s a lot of work - Thanks to you all, it’s incredibly fun and so worth it. « Peach is like a weird family » dixit Miss Alice Wild and this is what it really feels like! 🫶 From the bottom of our heart: Thank you! This is for you all ⬇️

What a year! And what a year ahead🦄 For us it’s a lot of work - Thanks to you all, it’s incredibly fun and so worth it. « Peach is like a weird family » dixit Miss Alice Wild and this is what it really feels like! 🫶 From the bottom of our heart: Thank you! This is for you all ⬇️

Peach Farmer

177,440 次观看 • 1 年前

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,276 次观看 • 6 个月前

"Chainlink is at the forefront of this third revolution of how modern data, computing, and connectivity technology is changing the whole financial world order.”

"Chainlink is at the forefront of this third revolution of how modern data, computing, and connectivity technology is changing the whole financial world order.”

Chainlink

132,637 次观看 • 1 年前

The year of agents is in full swing. From the stage at #COMPUTEX2026, Qualcomm CEO Cristiano R. Amon on AI becoming more personal, shifting from tools we use to systems that can take action on their own:

The year of agents is in full swing. From the stage at #COMPUTEX2026, Qualcomm CEO Cristiano R. Amon on AI becoming more personal, shifting from tools we use to systems that can take action on their own:

Qualcomm

12,179 次观看 • 2 个月前

We’re shifting from apps and operating systems to agents, and that changes the device experience end to end. Great conversation with Satya Nadella on what comes next. Watch our discussion from #MSBuild. Read the OnQ blog post for more.

We’re shifting from apps and operating systems to agents, and that changes the device experience end to end. Great conversation with Satya Nadella on what comes next. Watch our discussion from #MSBuild. Read the OnQ blog post for more.

Cristiano R. Amon

154,095 次观看 • 2 个月前

I'd like to welcome you to Flagship! In this video, I'll walk you through what we're exactly building, our philosophy, how the $FYI token and Agents work and more. Anything that's missing for you?

I'd like to welcome you to Flagship! In this video, I'll walk you through what we're exactly building, our philosophy, how the $FYI token and Agents work and more. Anything that's missing for you?

Jorn

286,619 次观看 • 1 年前

Hello Pakistanis This is for you from the center of Kashmir. #IndependenceDay2023

Hello Pakistanis This is for you from the center of Kashmir. #IndependenceDay2023

Kashmiri Hindu

231,031 次观看 • 3 年前

hate to undercut my own video with a clip from the full episode but the world needs to know how spineless Mike Carney really is and what this means for geopolitics moving forward

hate to undercut my own video with a clip from the full episode but the world needs to know how spineless Mike Carney really is and what this means for geopolitics moving forward

PsyopAnime

196,859 次观看 • 7 个月前

Could You Guess What Comes After the OptimAI Edge Node? We’re excited to share another glimpse into the future, Community-Powered Data Validation, a unique feature within the OptimAI Core Node for desktop. What is Data Validation? It’s the essential process of ensuring AI systems learn from accurate, unbiased, and high-quality data. Through human intelligence, users verify, correct, and refine information - making it reliable for training advanced AI agents. This process is enabled by the OptimAI DeHIN (Decentralized Human Intelligence Network), which brings collective intelligence into the heart of AI development. Why is it important? Because truly responsible and powerful AI starts with trusted data. Community validation improves fairness, transparency, and performance - ensuring AI benefits everyone. And as a participant, you’re not just supporting better AI; you’re earning rewards and shaping its future. Your desktop is about to become much more than a device. It’s a gateway to reinforcing the quality of data that powers Agentic AI. Validate data. Strengthen AI. Get rewarded. The future of AI is collective — and it needs you. #BUIDL with us! 👉OptimAI Lite Node: 👉OptimAI Edge Node:

Could You Guess What Comes After the OptimAI Edge Node? We’re excited to share another glimpse into the future, Community-Powered Data Validation, a unique feature within the OptimAI Core Node for desktop. What is Data Validation? It’s the essential process of ensuring AI systems learn from accurate, unbiased, and high-quality data. Through human intelligence, users verify, correct, and refine information - making it reliable for training advanced AI agents. This process is enabled by the OptimAI DeHIN (Decentralized Human Intelligence Network), which brings collective intelligence into the heart of AI development. Why is it important? Because truly responsible and powerful AI starts with trusted data. Community validation improves fairness, transparency, and performance - ensuring AI benefits everyone. And as a participant, you’re not just supporting better AI; you’re earning rewards and shaping its future. Your desktop is about to become much more than a device. It’s a gateway to reinforcing the quality of data that powers Agentic AI. Validate data. Strengthen AI. Get rewarded. The future of AI is collective — and it needs you. #BUIDL with us! 👉OptimAI Lite Node: 👉OptimAI Edge Node:

OptimAI Network

60,749 次观看 • 1 年前

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

GREG ISENBERG

554,339 次观看 • 23 天前

Here are my thoughts from this year’s World Economic Forum. If you’re interested in understanding more about how the world order is changing and what it all means, you can sign up here for my newsletter in the comments below.

Here are my thoughts from this year’s World Economic Forum. If you’re interested in understanding more about how the world order is changing and what it all means, you can sign up here for my newsletter in the comments below.

Ray Dalio

103,570 次观看 • 7 个月前

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

Alex Finn

495,348 次观看 • 21 天前

Warm wishes to all of you on the English New Year. Today is not just about changing a date on the calendar; it is a day to ask yourself an honest question. What has passed will not return, but the lessons you gained from it will always stay with you. The mistakes of the past year were not signs of weakness; they were part of the process that made you stronger. In this new year, try not to run away from yourself. Instead, understand yourself and work on improving. Complain less and make more effort. Show less and practice more self-discipline. Because the day you truly decide to change yourself is the day that becomes your real New Year. May this English New Year be meaningful and auspicious for you.

Warm wishes to all of you on the English New Year. Today is not just about changing a date on the calendar; it is a day to ask yourself an honest question. What has passed will not return, but the lessons you gained from it will always stay with you. The mistakes of the past year were not signs of weakness; they were part of the process that made you stronger. In this new year, try not to run away from yourself. Instead, understand yourself and work on improving. Complain less and make more effort. Show less and practice more self-discipline. Because the day you truly decide to change yourself is the day that becomes your real New Year. May this English New Year be meaningful and auspicious for you.

Bhagavad Gita 🪷

40,755 次观看 • 7 个月前

What if you could run your entire business from a WhatsApp or Telegram chat? Unlike other AI agents that demand constant babysitting, Accio Work is fully autonomous. It’s a fundamental shift in how we manage operations. This level of remote command is changing the game for founders. Here is how 👇

What if you could run your entire business from a WhatsApp or Telegram chat? Unlike other AI agents that demand constant babysitting, Accio Work is fully autonomous. It’s a fundamental shift in how we manage operations. This level of remote command is changing the game for founders. Here is how 👇

Deborah

80,992 次观看 • 5 个月前