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An AI model developed by Google DeepMind is giving Olympic snowboarders like Maddie Mastro new insights into how their bodies move. 🏂 Read more: Host/Reporter: Isabelle Bousquette Producer: Gianna Barberia

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59,550 просмотров • 5 месяцев назад •via X (Twitter)

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Ilario Corna, CTO of the International Olympic Committee (IOC), shares insights on how the partnership with Alibaba is central to the intelligence layer being developed for Milano Cortina 2026. By building on Alibaba’s open-source Qwen model, the IOC gains a powerful and flexible foundation model tailored to the needs of National Olympic Committees (NOCs), Organizing Committees (OCOGs), and IOC teams. Together, we are building on the AI foundations introduced at Paris 2024, integrating them into a unified “Olympic AI” ecosystem. The Olympic Games Milano Cortina 2026

Ilario Corna, CTO of the International Olympic Committee (IOC), shares insights on how the partnership with Alibaba is central to the intelligence layer being developed for Milano Cortina 2026. By building on Alibaba’s open-source Qwen model, the IOC gains a powerful and flexible foundation model tailored to the needs of National Olympic Committees (NOCs), Organizing Committees (OCOGs), and IOC teams. Together, we are building on the AI foundations introduced at Paris 2024, integrating them into a unified “Olympic AI” ecosystem. The Olympic Games Milano Cortina 2026

Alibaba Group

741,654 просмотров • 5 месяцев назад

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,754 просмотров • 1 год назад

.Google DeepMind is powering a new agricultural landscape understanding layer in Google Earth for portions of the Asia-Pacific region to bring powerful data to our iconic imagery. Leveraging machine learning and satellite imagery, this data layer is able to visualize the ""atomic units"" of agriculture: individual field boundaries. This model doesn't just delineate fields; it determines acreage and identifies critical landscape elements like water bodies and vegetation. Use these granular insights to: ✅ Calculate specific acreage. ✅ Identify water resources for drought contingency planning. ✅ Deliver insights at the farm level, not just the regional level. Go from regional aggregates to atomic units. Get the insights that inspire action. #GoogleEarth #GoogleDeepMind #AI

.Google DeepMind is powering a new agricultural landscape understanding layer in Google Earth for portions of the Asia-Pacific region to bring powerful data to our iconic imagery. Leveraging machine learning and satellite imagery, this data layer is able to visualize the ""atomic units"" of agriculture: individual field boundaries. This model doesn't just delineate fields; it determines acreage and identifies critical landscape elements like water bodies and vegetation. Use these granular insights to: ✅ Calculate specific acreage. ✅ Identify water resources for drought contingency planning. ✅ Deliver insights at the farm level, not just the regional level. Go from regional aggregates to atomic units. Get the insights that inspire action. #GoogleEarth #GoogleDeepMind #AI

Google Earth

231,449 просмотров • 6 месяцев назад

GOOGLE UNLEASHES GENIE 3 - BE CAREFUL WHAT YOU WISH FOR Google’s new “world model” lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. It’s like The Sims, but for robots learning how to take your job. DeepMind says it’s a step toward AGI, where AI stops playing chess and starts playing human. This isn’t some science fair demo. Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. Source: Guardian

GOOGLE UNLEASHES GENIE 3 - BE CAREFUL WHAT YOU WISH FOR Google’s new “world model” lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. It’s like The Sims, but for robots learning how to take your job. DeepMind says it’s a step toward AGI, where AI stops playing chess and starts playing human. This isn’t some science fair demo. Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. Source: Guardian

Mario Nawfal

110,928 просмотров • 11 месяцев назад

Today we are announcing Genie 3, a general purpose world model by Google DeepMind that can generate dynamic, interactive environments with a single text prompt. World models are AI that understand facets of the world (like Veo's knowledge of intuitive physics or Genie's mastery of new environments), and serve as a key stepping stone on the path to AGI. Genie 3 is our first world model to allow interaction in real-time, while also improving consistency and realism compared to Genie 2. Learn more ➡️

Today we are announcing Genie 3, a general purpose world model by Google DeepMind that can generate dynamic, interactive environments with a single text prompt. World models are AI that understand facets of the world (like Veo's knowledge of intuitive physics or Genie's mastery of new environments), and serve as a key stepping stone on the path to AGI. Genie 3 is our first world model to allow interaction in real-time, while also improving consistency and realism compared to Genie 2. Learn more ➡️

Google AI

102,615 просмотров • 11 месяцев назад

People of AI is back with a new co-host Christina Warren who joins Ashley Oldacre on Season 5 to highlight the developers, startups, and founders shaping the future of AI, including their challenges and triumphs 💪 First up, Clément Farabet, VP of Research at Google DeepMind, shares his engineering journey, AI work, and the balance between research and real-world products, and how these advancements are paving the way for an agentic future. Key Moments: 0:00 Intro season 5 02:36 Neural Nets to Transformers 08:16 Were Transformers inevitable? 10:45 Time at NVIDIA 13:05 Why join Google DeepMind? 16:00 Research vs Production or both? 24:00 AI studio - product experimentation 27:32 The future of agents 30:53 Agent accountability 36:30 How does Clement use agents? 40:00 Clement’s vision for the future 47:20 Rapid Fire Questions

People of AI is back with a new co-host Christina Warren who joins Ashley Oldacre on Season 5 to highlight the developers, startups, and founders shaping the future of AI, including their challenges and triumphs 💪 First up, Clément Farabet, VP of Research at Google DeepMind, shares his engineering journey, AI work, and the balance between research and real-world products, and how these advancements are paving the way for an agentic future. Key Moments: 0:00 Intro season 5 02:36 Neural Nets to Transformers 08:16 Were Transformers inevitable? 10:45 Time at NVIDIA 13:05 Why join Google DeepMind? 16:00 Research vs Production or both? 24:00 AI studio - product experimentation 27:32 The future of agents 30:53 Agent accountability 36:30 How does Clement use agents? 40:00 Clement’s vision for the future 47:20 Rapid Fire Questions

Google for Developers

17,576 просмотров • 1 год назад

Research scientist John Palowitch joined Google in 2017, hoping to use his technical expertise to improve the company’s search engine. But as the AI arms race escalated in 2024, his entire team was shifted over to work on Gemini, Google’s AI model. The more Palowitch saw Google plow its resources into AI, the more disillusioned he became. While he loved how the company’s search engine helped connect humans with one another, in his view Gemini seemed to do the opposite: prevent people from exploring the fullness of the web. Last September, Palowitch left Google, and he has since joined the nonprofit Internet Archive, making him one of a growing number of tech workers to defect from their companies and then go public with their concerns. For the new issue, TIME spoke to a broad array of AI skeptics, from MAGA loyalists to Democratic socialists, pastors to policymakers, nurses to filmmakers. Read their stories here: Video by Benedict Evans for TIME.

Research scientist John Palowitch joined Google in 2017, hoping to use his technical expertise to improve the company’s search engine. But as the AI arms race escalated in 2024, his entire team was shifted over to work on Gemini, Google’s AI model. The more Palowitch saw Google plow its resources into AI, the more disillusioned he became. While he loved how the company’s search engine helped connect humans with one another, in his view Gemini seemed to do the opposite: prevent people from exploring the fullness of the web. Last September, Palowitch left Google, and he has since joined the nonprofit Internet Archive, making him one of a growing number of tech workers to defect from their companies and then go public with their concerns. For the new issue, TIME spoke to a broad array of AI skeptics, from MAGA loyalists to Democratic socialists, pastors to policymakers, nurses to filmmakers. Read their stories here: Video by Benedict Evans for TIME.

TIME

46,962 просмотров • 5 месяцев назад

We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,953,239 просмотров • 2 месяцев назад

It’s official: is here! We’re so proud to hard launch our AI-powered tool designed to enhance teaching and learning. Think of as an operating system that will empower the heroes of our society - teachers - to help more students, more effectively, than ever before. includes: - Spark AI Teachers Assistant - Spark AI Homework Helper - ExplainThis - AI Grading - AI Powered Dashboards By analyzing and understanding how educators do their jobs, turns insights into action - and gives educators precious time back for teaching and mentoring. Our goal is to be the Netflix of Education, and AI is a huge part of that goal. We’re thrilled to see how will improve the lives of our amazing students and teachers 🔥 @joelhames Subject

It’s official: is here! We’re so proud to hard launch our AI-powered tool designed to enhance teaching and learning. Think of as an operating system that will empower the heroes of our society - teachers - to help more students, more effectively, than ever before. includes: - Spark AI Teachers Assistant - Spark AI Homework Helper - ExplainThis - AI Grading - AI Powered Dashboards By analyzing and understanding how educators do their jobs, turns insights into action - and gives educators precious time back for teaching and mentoring. Our goal is to be the Netflix of Education, and AI is a huge part of that goal. We’re thrilled to see how will improve the lives of our amazing students and teachers 🔥 @joelhames Subject

Mike Vilardo

122,757 просмотров • 1 год назад

Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

Box

10,565 просмотров • 1 год назад

Chinese AI Model DeepSeq: Despite U.S. sanctions restricting access to Nvidia AI chips, Chinese researchers developed DeepSeq, an AI model reportedly more powerful than OpenAI’s. Overcoming Hardware Limitations: With only a limited supply of Nvidia chips, Chinese engineers achieved groundbreaking efficiency optimizations, reducing training resource requirements to just 1/100th of what OpenAI, Microsoft, or Google typically use. Open-Sourcing the Innovation: In a bold move, the developers open-sourced their AI models, making both the code and methodology freely available to the public, significantly reducing the competitive edge of proprietary models like OpenAI’s. Impact on AI Industry: The release of high-quality free alternatives disrupts the market, potentially devaluing OpenAI’s models and forcing American AI companies to rethink their strategies. China’s Rapid AI Innovation: The success of DeepSeq underscores China’s growing self-sufficiency in AI and its ability to leapfrog hardware limitations through advanced software and algorithmic breakthroughs.

Chinese AI Model DeepSeq: Despite U.S. sanctions restricting access to Nvidia AI chips, Chinese researchers developed DeepSeq, an AI model reportedly more powerful than OpenAI’s. Overcoming Hardware Limitations: With only a limited supply of Nvidia chips, Chinese engineers achieved groundbreaking efficiency optimizations, reducing training resource requirements to just 1/100th of what OpenAI, Microsoft, or Google typically use. Open-Sourcing the Innovation: In a bold move, the developers open-sourced their AI models, making both the code and methodology freely available to the public, significantly reducing the competitive edge of proprietary models like OpenAI’s. Impact on AI Industry: The release of high-quality free alternatives disrupts the market, potentially devaluing OpenAI’s models and forcing American AI companies to rethink their strategies. China’s Rapid AI Innovation: The success of DeepSeq underscores China’s growing self-sufficiency in AI and its ability to leapfrog hardware limitations through advanced software and algorithmic breakthroughs.

Johannes Maria

24,512 просмотров • 1 год назад

AI is rapidly accelerating scientific discovery and contributing to the effort to better understand cancer. We're proud to announce two major open-source breakthroughs from Google Research and Google DeepMind that demonstrate the immense potential of AI in this field: First, DeepSomatic can significantly improve cancer diagnostics by accurately identifying key genetic variants within cancer cells, outperforming current state-of-the-art methods. This provides researchers and clinicians with a more precise and reliable tool for mapping cancer's blueprint, which is essential for targeted therapy development. Second, our new Gemma C2S-Scale 27B model (built using our open Gemma family), achieved an exciting milestone: it generated a novel hypothesis to convert "cold" tumors—which are notoriously resistant to current immunotherapies—into "hot" tumors that can be successfully treated. This discovery may offer a new avenue for cancer drug development.

AI is rapidly accelerating scientific discovery and contributing to the effort to better understand cancer. We're proud to announce two major open-source breakthroughs from Google Research and Google DeepMind that demonstrate the immense potential of AI in this field: First, DeepSomatic can significantly improve cancer diagnostics by accurately identifying key genetic variants within cancer cells, outperforming current state-of-the-art methods. This provides researchers and clinicians with a more precise and reliable tool for mapping cancer's blueprint, which is essential for targeted therapy development. Second, our new Gemma C2S-Scale 27B model (built using our open Gemma family), achieved an exciting milestone: it generated a novel hypothesis to convert "cold" tumors—which are notoriously resistant to current immunotherapies—into "hot" tumors that can be successfully treated. This discovery may offer a new avenue for cancer drug development.

Google AI

59,683 просмотров • 9 месяцев назад

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,386 просмотров • 3 месяцев назад

Spoiler warning 🚨 In season two of 'The Pitt', a new attending physician is determined to improve efficiencies at the hospital. She tells her skeptical staff that new AI systems can cut down their time spent on charting by 80%, allowing them to spend more time both at the bedside and at home. But in episode six, doctors discover that the AI tool has made up false details about a patient and confused “urology” for “neurology.” Like many of the show’s themes, this storyline mirrors real-life debates happening in hospitals across the country. Tech correspondent Andrew Chow explains how AI is already being used by medical professionals, how they feel about it. Read more here:

Spoiler warning 🚨 In season two of 'The Pitt', a new attending physician is determined to improve efficiencies at the hospital. She tells her skeptical staff that new AI systems can cut down their time spent on charting by 80%, allowing them to spend more time both at the bedside and at home. But in episode six, doctors discover that the AI tool has made up false details about a patient and confused “urology” for “neurology.” Like many of the show’s themes, this storyline mirrors real-life debates happening in hospitals across the country. Tech correspondent Andrew Chow explains how AI is already being used by medical professionals, how they feel about it. Read more here:

TIME

44,335 просмотров • 4 месяцев назад

Google DeepMind just dropped 'Genie', an AI that can generate interactive video games. This is a huge deal. Genie is trained on 200,000 hours of unsupervised public internet gaming videos and can generate video games from a single prompt or image. But here's what's insane: Despite not being trained on action or text annotations, the foundation model can determine who the main character is and enable a user to control that character in the generated world. It does this through its Latent Action Model, Video Tokenizer, and Dynamics Model (will go more in-depth on this in tomorrow's newsletter for those interested). And for those asking, yes, it's research-only and not publicly available (here come the Google memes), and it does come with some limitations, like only currently creating games at 1FPS. But this is the worst AI will ever be. Anyone will be able to create their own entirely imagined virtual worlds soon, and that's a wild sentence to say out loud.

Google DeepMind just dropped 'Genie', an AI that can generate interactive video games. This is a huge deal. Genie is trained on 200,000 hours of unsupervised public internet gaming videos and can generate video games from a single prompt or image. But here's what's insane: Despite not being trained on action or text annotations, the foundation model can determine who the main character is and enable a user to control that character in the generated world. It does this through its Latent Action Model, Video Tokenizer, and Dynamics Model (will go more in-depth on this in tomorrow's newsletter for those interested). And for those asking, yes, it's research-only and not publicly available (here come the Google memes), and it does come with some limitations, like only currently creating games at 1FPS. But this is the worst AI will ever be. Anyone will be able to create their own entirely imagined virtual worlds soon, and that's a wild sentence to say out loud.

Rowan Cheung

3,376,915 просмотров • 2 лет назад

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,648 просмотров • 8 месяцев назад

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

Tony Robbins

21,904 просмотров • 1 год назад

Google founder Larry Page on how he learned to run a business When asked how he learned to run a business, Google cofounder Larry Page responds: “I read a lot of books.” He joked: “[When renaming Google to Alphabet] I read like three books on naming—which is more than anyone else had read. So I decided I was the expert . . . and actually that was useful. I recommend reading things.” It’s an important mindset that is often overlooked. One of the richest ways to learn something is reading things written by people who deeply understand their subject matter. Even Elon Musk was able to teach himself about the fundamentals of rocket design and astrodynamics by reading books. He is often quoted on this topic: “I read books and talked to people. I mean that's kind of how one learns anything. There's lots of great books out there and lots of smart people.” Building a startup is an infinite set of problems that are being thrown at you. Next time you’re facing one of those problems, I’d recommend finding the best book or blog post you can on the topic and reading it. You don’t need an MBA from a fancy school to be an expert in business or startups. You just need to sit down and read. Source: FORTUNE (Nov 2015)

Google founder Larry Page on how he learned to run a business When asked how he learned to run a business, Google cofounder Larry Page responds: “I read a lot of books.” He joked: “[When renaming Google to Alphabet] I read like three books on naming—which is more than anyone else had read. So I decided I was the expert . . . and actually that was useful. I recommend reading things.” It’s an important mindset that is often overlooked. One of the richest ways to learn something is reading things written by people who deeply understand their subject matter. Even Elon Musk was able to teach himself about the fundamentals of rocket design and astrodynamics by reading books. He is often quoted on this topic: “I read books and talked to people. I mean that's kind of how one learns anything. There's lots of great books out there and lots of smart people.” Building a startup is an infinite set of problems that are being thrown at you. Next time you’re facing one of those problems, I’d recommend finding the best book or blog post you can on the topic and reading it. You don’t need an MBA from a fancy school to be an expert in business or startups. You just need to sit down and read. Source: FORTUNE (Nov 2015)

Startup Archive

60,761 просмотров • 22 дней назад

Google founder Larry Page on how he learned to run a business When asked how he learned to run a business, Google cofounder Larry Page responds: “I read a lot of books.” He joked: “[When renaming Google to Alphabet] I read like three books on naming—which is more than anyone else had read. So I decided I was the expert . . . and actually that was useful. I recommend reading things.” It’s an important mindset that is often overlooked. One of the richest ways to learn something is reading things written by people who deeply understand their subject matter. Even Elon Musk was able to teach himself about the fundamentals of rocket design and astrodynamics by reading books. He is often quoted on this topic: “I read books and talked to people. I mean that's kind of how one learns anything. There's lots of great books out there and lots of smart people.” Building a startup is an infinite set of problems that are being thrown at you. Next time you’re facing one of those problems, I’d recommend finding the best book or blog post you can on the topic and reading it. You don’t need an MBA from a fancy school to be an expert in business or startups. You just need to sit down and read. Video source: FORTUNE (2015)

Google founder Larry Page on how he learned to run a business When asked how he learned to run a business, Google cofounder Larry Page responds: “I read a lot of books.” He joked: “[When renaming Google to Alphabet] I read like three books on naming—which is more than anyone else had read. So I decided I was the expert . . . and actually that was useful. I recommend reading things.” It’s an important mindset that is often overlooked. One of the richest ways to learn something is reading things written by people who deeply understand their subject matter. Even Elon Musk was able to teach himself about the fundamentals of rocket design and astrodynamics by reading books. He is often quoted on this topic: “I read books and talked to people. I mean that's kind of how one learns anything. There's lots of great books out there and lots of smart people.” Building a startup is an infinite set of problems that are being thrown at you. Next time you’re facing one of those problems, I’d recommend finding the best book or blog post you can on the topic and reading it. You don’t need an MBA from a fancy school to be an expert in business or startups. You just need to sit down and read. Video source: FORTUNE (2015)

Startup Archive

556,693 просмотров • 7 месяцев назад

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

Andy Jassy

42,327 просмотров • 1 год назад