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Today, we're introducing AlphaEarth Foundations from Google DeepMind , an AI model that functions like a virtual satellite which helps scientists make informed decisions on critical issues like food security, deforestation, and water resources. AlphaEarth Foundations provides a powerful new lens for understanding our planet by solving two major...

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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.
0:56

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 görüntüleme • 1 yıl önce

.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
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.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 görüntüleme • 6 ay önce

Inspired by our House’s love for a better tomorrow, The Tiffany & Co. Foundation is deeply committed to protecting the ocean to provide a vibrant future for the planet. Only a fraction of the world’s coral reefs are currently being protected. Without vibrant coral reefs, our oceans lose vital ecosystems that support critical habitats, marine biodiversity and all those who depend on ocean health. Through our commitment to MERMAID, led by the Wildlife Conservation Society, The Tiffany & Co. Foundation supports the world’s largest platform of real-time coral reef data. Looking ahead, MERMAID AI will help transform how coral reefs are monitored and protected globally. By leveraging advanced AI technology, we will help close a critical data gap, empowering professional scientists and citizen scientists to track and safeguard coral reef health in real time. Learn more:
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Inspired by our House’s love for a better tomorrow, The Tiffany & Co. Foundation is deeply committed to protecting the ocean to provide a vibrant future for the planet. Only a fraction of the world’s coral reefs are currently being protected. Without vibrant coral reefs, our oceans lose vital ecosystems that support critical habitats, marine biodiversity and all those who depend on ocean health. Through our commitment to MERMAID, led by the Wildlife Conservation Society, The Tiffany & Co. Foundation supports the world’s largest platform of real-time coral reef data. Looking ahead, MERMAID AI will help transform how coral reefs are monitored and protected globally. By leveraging advanced AI technology, we will help close a critical data gap, empowering professional scientists and citizen scientists to track and safeguard coral reef health in real time. Learn more:

Tiffany & Co.

12,472 görüntüleme • 1 ay önce

Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!
1:03

Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!

Genspark

29,800 görüntüleme • 2 yıl önce

Introducing Nano Banana 2, our best image model yet 🍌🍌 It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity. Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing. Rolling out today as the new default in the Google Gemini, Search (across 141 countries), and Flow + available in preview via Google AI Studio and Vertex AI. Also available in Google Google Antigravity.
0:28

Introducing Nano Banana 2, our best image model yet 🍌🍌 It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity. Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing. Rolling out today as the new default in the Google Gemini, Search (across 141 countries), and Flow + available in preview via Google AI Studio and Vertex AI. Also available in Google Google Antigravity.

Sundar Pichai

922,488 görüntüleme • 5 ay önce

WHEN THE WHOLE PLANET IS A #HOLISTICWORKENVIRONMENT in perpetuity… Ask a #Teacher to share with a #fireman : World's largest fog harvester produces water from thin air in the Moroccan desert. 10.000 liters of water a day from the fog for #waterresources, #FireSafety and #wildfire #Firemitigation #Sonoran Desert U.S. Department of Energy Since 2016, Moroccan NGO Dar Si Hamad has built the world’s largest fog harvester, which provides water for those in dire need of it. Dar Si Hamad utilized CloudFisher technology to install giant polymer nets between steel poles in the Anti-Atlas mountain range. The collected water is sent to locals via solar pumps and pipes installed by the NGO in partnership with other organizations, foundations, and universities. Over 400 people who never before had running water now benefit from the system. 10.000 liters of water a day from #fogharvesting for #water #FireSafety and #Firemitigation #Respectfully, My project is to request the information be #shared, the article / #video , such that it is common knowledge and implemented by #FIRE/#FORESTRY #EMS, & #waterinsecure regions. 10.000 liters of water a day from #fogharvesting for #water #FireSafety and #Firemitigation #Respectfully, A.M.Rivers #TheGangsterFinePrint by AM Rivers A. M. Rivers🇺🇸🇯🇲🇹🇹 Yo, Ms. Rivers!!!🌐🇺🇸🇯🇲🇹🇹 my links in the bio. The Water Bearer Project The funding: March 26, 2024 Grant Workshop #ArizonaStateParksandTrails #GrantWorkshop held on Tuesday, March 26th
1:06

WHEN THE WHOLE PLANET IS A #HOLISTICWORKENVIRONMENT in perpetuity… Ask a #Teacher to share with a #fireman : World's largest fog harvester produces water from thin air in the Moroccan desert. 10.000 liters of water a day from the fog for #waterresources, #FireSafety and #wildfire #Firemitigation #Sonoran Desert U.S. Department of Energy Since 2016, Moroccan NGO Dar Si Hamad has built the world’s largest fog harvester, which provides water for those in dire need of it. Dar Si Hamad utilized CloudFisher technology to install giant polymer nets between steel poles in the Anti-Atlas mountain range. The collected water is sent to locals via solar pumps and pipes installed by the NGO in partnership with other organizations, foundations, and universities. Over 400 people who never before had running water now benefit from the system. 10.000 liters of water a day from #fogharvesting for #water #FireSafety and #Firemitigation #Respectfully, My project is to request the information be #shared, the article / #video , such that it is common knowledge and implemented by #FIRE/#FORESTRY #EMS, & #waterinsecure regions. 10.000 liters of water a day from #fogharvesting for #water #FireSafety and #Firemitigation #Respectfully, A.M.Rivers #TheGangsterFinePrint by AM Rivers A. M. Rivers🇺🇸🇯🇲🇹🇹 Yo, Ms. Rivers!!!🌐🇺🇸🇯🇲🇹🇹 my links in the bio. The Water Bearer Project The funding: March 26, 2024 Grant Workshop #ArizonaStateParksandTrails #GrantWorkshop held on Tuesday, March 26th

#TheGangsterFinePrint by AM Rivers

25,368 görüntüleme • 2 yıl önce

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.
0:32

Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

LayerAI | AI2Earn

27,136 görüntüleme • 2 yıl önce

Bridging Theory and Practice: A Reflection on Ghana’s National Science & Maths Quiz – The 10% Law or Perhaps the 10% Problem. First, Congratulations to Presbyterian Boys' SHS for clinching the title in this year's National Science and Math Quiz (NSMQ), and heartfelt appreciation to Primetime and all sponsors for facilitating this esteemed competition. The NSMQ has indeed grown in stature, now rivaling our national love for soccer in popularity. While the competition continues to excel, it's prudent to offer constructive feedback to further hone its impact and sustain interest. This piece seeks to address a notable incident from this year’s competition, reflecting on the balance between theoretical precision and practical understanding, a key element in nurturing innovative minds capable of tackling real-world challenges. The “10% law” question provides an opportune moment to reflect on the essence and impact of educational competitions. A question concerning the "10% Law" in the context of food chains saw a response marked incorrect due to a minor omission, despite the understanding of the concept being evidently clear. ❓Question Name the law that explains that each trophic level in a FOOD CHAIN transfers 10% of its energy to the level above it, and the other 90% of its energy is lost to heat or reproduction. ❌ Answer given by OPOKU WARE SCHOOL: The 10% law. However, our beloved quiz mistress marked this response as incorrect, stipulating the answer should have been "The 10% law in food chain”. However, the context of the question was clearly delineated; hence, the phrase “in food chain” was implicitly understood, making the given answer accurate and succinct. The penalization for a perceived lack of completeness, in this case, underscores a prevalent concern in our educational fabric - the emphasis on mechanical/verbatim memorization over a nuanced/holistic understanding of concepts. While precision in scientific terminology is vital, the pendulum should not swing to the extreme where the essence of learning is overshadowed by the rigidity of expression. Here is why we need to rethink such rigidity in expression. 📌 Strict Adherence to Terminology In the scenario presented, the adjudication appears to have been fixated on precise terminology rather than understanding the underlying concept. While technical precision is important in scientific communication, the emphasis on exact wording to the detriment of conceptual understanding can be counterproductive. 📌 Impediment to Practical Learning This approach can potentially hinder creativity and critical thinking essential for real-world problem-solving. The focus shifts from a practical understanding of concepts and their applications to a memorization of textbook definitions and terminologies. 📌Impact on Student Engagement When students are penalized for minor omissions in terminology despite demonstrating a clear understanding of the concept, it can be demoralizing and may affect their confidence and performance. *********************** Educational competitions like the NSMQ are pivotal in inspiring and nurturing scientific inquiry among young learners. They serve as platforms for not merely disseminating knowledge but for promoting critical thinking, innovative problem-solving, and practical application of theoretical concepts. 📌Way forward🤝 ✅Real-world Applications Integrating more real-world scenarios and problem-solving exercises can enrich the learning experience and demonstrate the relevance of theoretical knowledge. In essence, while maintaining a high standard of excellence, it's imperative that educational competitions like the NSMQ evolve to foster a conducive environment for practical learning and innovative thinking. This balanced approach can significantly contribute to nurturing a generation of thinkers, innovators, and problem solvers well-equipped to tackle the multifaceted challenges of our contemporary world.
0:51

Bridging Theory and Practice: A Reflection on Ghana’s National Science & Maths Quiz – The 10% Law or Perhaps the 10% Problem. First, Congratulations to Presbyterian Boys' SHS for clinching the title in this year's National Science and Math Quiz (NSMQ), and heartfelt appreciation to Primetime and all sponsors for facilitating this esteemed competition. The NSMQ has indeed grown in stature, now rivaling our national love for soccer in popularity. While the competition continues to excel, it's prudent to offer constructive feedback to further hone its impact and sustain interest. This piece seeks to address a notable incident from this year’s competition, reflecting on the balance between theoretical precision and practical understanding, a key element in nurturing innovative minds capable of tackling real-world challenges. The “10% law” question provides an opportune moment to reflect on the essence and impact of educational competitions. A question concerning the "10% Law" in the context of food chains saw a response marked incorrect due to a minor omission, despite the understanding of the concept being evidently clear. ❓Question Name the law that explains that each trophic level in a FOOD CHAIN transfers 10% of its energy to the level above it, and the other 90% of its energy is lost to heat or reproduction. ❌ Answer given by OPOKU WARE SCHOOL: The 10% law. However, our beloved quiz mistress marked this response as incorrect, stipulating the answer should have been "The 10% law in food chain”. However, the context of the question was clearly delineated; hence, the phrase “in food chain” was implicitly understood, making the given answer accurate and succinct. The penalization for a perceived lack of completeness, in this case, underscores a prevalent concern in our educational fabric - the emphasis on mechanical/verbatim memorization over a nuanced/holistic understanding of concepts. While precision in scientific terminology is vital, the pendulum should not swing to the extreme where the essence of learning is overshadowed by the rigidity of expression. Here is why we need to rethink such rigidity in expression. 📌 Strict Adherence to Terminology In the scenario presented, the adjudication appears to have been fixated on precise terminology rather than understanding the underlying concept. While technical precision is important in scientific communication, the emphasis on exact wording to the detriment of conceptual understanding can be counterproductive. 📌 Impediment to Practical Learning This approach can potentially hinder creativity and critical thinking essential for real-world problem-solving. The focus shifts from a practical understanding of concepts and their applications to a memorization of textbook definitions and terminologies. 📌Impact on Student Engagement When students are penalized for minor omissions in terminology despite demonstrating a clear understanding of the concept, it can be demoralizing and may affect their confidence and performance. *********************** Educational competitions like the NSMQ are pivotal in inspiring and nurturing scientific inquiry among young learners. They serve as platforms for not merely disseminating knowledge but for promoting critical thinking, innovative problem-solving, and practical application of theoretical concepts. 📌Way forward🤝 ✅Real-world Applications Integrating more real-world scenarios and problem-solving exercises can enrich the learning experience and demonstrate the relevance of theoretical knowledge. In essence, while maintaining a high standard of excellence, it's imperative that educational competitions like the NSMQ evolve to foster a conducive environment for practical learning and innovative thinking. This balanced approach can significantly contribute to nurturing a generation of thinkers, innovators, and problem solvers well-equipped to tackle the multifaceted challenges of our contemporary world.

Dr. Banda Khalifa MD, MPH, MBA

189,378 görüntüleme • 2 yıl önce

Introducing Continuous Thought Machines New Blog: Modern AI is powerful, but it’s still distinct from human-like flexible intelligence. We believe neural timing is key. Our Continuous Thought Machine is built from the ground up to use neural dynamics as a powerful representation for intelligence. Thought takes time, and reasoning is a process. Biological brains inspire us with their complex neural activity, where neural timing is critical to intelligence. We’re exploring how to bring that power to AI. The Continuous Thought Machine (CTM) incorporates neuron-level temporal processing and neural synchronization, moving beyond current AI limitations. Our approach has two core innovations: (1) neuron-level temporal processing, where each neuron uses unique parameters to process a history of incoming signals for fine-grained temporal dynamics, and (2) neural synchronization, used as a direct latent representation to modulate data and produce outputs, encoding information directly in the timing of neural activity. Learn more about our approach: Interactive Report: Full Paper: GitHub :
0:57

Introducing Continuous Thought Machines New Blog: Modern AI is powerful, but it’s still distinct from human-like flexible intelligence. We believe neural timing is key. Our Continuous Thought Machine is built from the ground up to use neural dynamics as a powerful representation for intelligence. Thought takes time, and reasoning is a process. Biological brains inspire us with their complex neural activity, where neural timing is critical to intelligence. We’re exploring how to bring that power to AI. The Continuous Thought Machine (CTM) incorporates neuron-level temporal processing and neural synchronization, moving beyond current AI limitations. Our approach has two core innovations: (1) neuron-level temporal processing, where each neuron uses unique parameters to process a history of incoming signals for fine-grained temporal dynamics, and (2) neural synchronization, used as a direct latent representation to modulate data and produce outputs, encoding information directly in the timing of neural activity. Learn more about our approach: Interactive Report: Full Paper: GitHub :

Sakana AI

289,929 görüntüleme • 1 yıl önce

OpenVPP Provides a Digital Payments Network for the $10T Power & Utilities Industry Designed to connect the world's energy payments systems, OpenVPP combines regulated, revenue grade metering, measurement, verification, and insantenous settlement for Distributed Energy Resources, DERs at global scale. OpenVPP bridges the gap between flexibile capacity resources and distriubtion grid providers that need dispatchable capacity in the form of Virtual Power Plants, at the most critical hours. Think hurricanes, tornados, and wild fires, demand sided resources can now automously help keep the lights on for our first responders to act. Our founders have worked in the regulated electric utilities industry for over 30 years and we're finally introducing $OVPP to serve as a governance token, offering network ownership to holders. We are working closely with Insitutions both in the Energy and Decentralized Finance industries to bridge the gap ahead of the incoming surge in demand due to AI & Data Centers, Bitcoin Mining, and EV Fleets. Join us on our journey to tokenize the global energy economy - The Internet of Energy.
1:26

OpenVPP Provides a Digital Payments Network for the $10T Power & Utilities Industry Designed to connect the world's energy payments systems, OpenVPP combines regulated, revenue grade metering, measurement, verification, and insantenous settlement for Distributed Energy Resources, DERs at global scale. OpenVPP bridges the gap between flexibile capacity resources and distriubtion grid providers that need dispatchable capacity in the form of Virtual Power Plants, at the most critical hours. Think hurricanes, tornados, and wild fires, demand sided resources can now automously help keep the lights on for our first responders to act. Our founders have worked in the regulated electric utilities industry for over 30 years and we're finally introducing $OVPP to serve as a governance token, offering network ownership to holders. We are working closely with Insitutions both in the Energy and Decentralized Finance industries to bridge the gap ahead of the incoming surge in demand due to AI & Data Centers, Bitcoin Mining, and EV Fleets. Join us on our journey to tokenize the global energy economy - The Internet of Energy.

OpenVPP

164,693 görüntüleme • 11 ay önce

This inquiry was initiated to address one of the most pressing issues of our time: the federal and state governments’ responses to COVID-19. The challenges we faced over the past few years highlighted severe shortcomings in our governments’ responses to COVID and weaknesses in our democracy. To ensure justice, accountability and financial compensation, it is imperative that a comprehensive Judicial Inquiry into the government’s handling of COVID-19 is called. This could take the form of a Senate Commission of Inquiry or a Royal Commission. Investigations that must be robust, independent and based on data and facts, with the power to subpoena witnesses and documentation. The handling of COVID affected us all in profound ways. To fully understand the scope of these effects and to prevent this happening again in the future, we need to establish an accurate and detailed timeline of events and associated facts. Placing the most up-to-date information on the record will uncover the truth behind the decisions made and their consequences. These are essential for restoring accountability and trust in governments, and health services and departments. We must make this issue a federal election matter, with the goal being to awaken the public with clear, understandable facts. The public needs to become aware of the magnitude of the problems we faced. The mishandling of this crisis is not a matter of minor errors. It involved significant failures that demand accountability and serious repercussions. That is the only way to restore trust in our medical systems and in our government systems and processes. This issue is far from over. We owe it to ourselves and to future generations—especially our children and grandchildren—to address these failings directly, clearly and bluntly. We must hold those responsible accountable and ensure that such lapses are never repeated.
9:10

This inquiry was initiated to address one of the most pressing issues of our time: the federal and state governments’ responses to COVID-19. The challenges we faced over the past few years highlighted severe shortcomings in our governments’ responses to COVID and weaknesses in our democracy. To ensure justice, accountability and financial compensation, it is imperative that a comprehensive Judicial Inquiry into the government’s handling of COVID-19 is called. This could take the form of a Senate Commission of Inquiry or a Royal Commission. Investigations that must be robust, independent and based on data and facts, with the power to subpoena witnesses and documentation. The handling of COVID affected us all in profound ways. To fully understand the scope of these effects and to prevent this happening again in the future, we need to establish an accurate and detailed timeline of events and associated facts. Placing the most up-to-date information on the record will uncover the truth behind the decisions made and their consequences. These are essential for restoring accountability and trust in governments, and health services and departments. We must make this issue a federal election matter, with the goal being to awaken the public with clear, understandable facts. The public needs to become aware of the magnitude of the problems we faced. The mishandling of this crisis is not a matter of minor errors. It involved significant failures that demand accountability and serious repercussions. That is the only way to restore trust in our medical systems and in our government systems and processes. This issue is far from over. We owe it to ourselves and to future generations—especially our children and grandchildren—to address these failings directly, clearly and bluntly. We must hold those responsible accountable and ensure that such lapses are never repeated.

Malcolm Roberts 🇦🇺

21,129 görüntüleme • 1 yıl önce

DISTURBING: Top AI companies have issued a chilling warning—the ability to monitor and understand AI's reasoning could soon vanish forever. In an unprecedented show of unity, scientists from OpenAI, Google DeepMind, Anthropic, and Meta are urgently sounding the alarm over AI's rapid evolution and the growing difficulty in tracking its decision-making. These cutting-edge models use "chains of thought" to reason step-by-step, offering us a rare glimpse into their logic. But that transparency is fragile—soon, AI may evolve beyond our comprehension, with its intentions hidden behind impenetrable, untraceable internal languages. Despite these terrifying risks, the Pentagon has awarded up to $200 million to AI companies whose models are drenched in ideological bias. As we rush forward with new technology, much like we did with the COVID shot, it’s déjà vu all over again as critical questions are being ignored. Watch ZeeeMediaOfficial's shocking report for the truth behind AI’s unchecked rise—and what it means for our future.
11:58

DISTURBING: Top AI companies have issued a chilling warning—the ability to monitor and understand AI's reasoning could soon vanish forever. In an unprecedented show of unity, scientists from OpenAI, Google DeepMind, Anthropic, and Meta are urgently sounding the alarm over AI's rapid evolution and the growing difficulty in tracking its decision-making. These cutting-edge models use "chains of thought" to reason step-by-step, offering us a rare glimpse into their logic. But that transparency is fragile—soon, AI may evolve beyond our comprehension, with its intentions hidden behind impenetrable, untraceable internal languages. Despite these terrifying risks, the Pentagon has awarded up to $200 million to AI companies whose models are drenched in ideological bias. As we rush forward with new technology, much like we did with the COVID shot, it’s déjà vu all over again as critical questions are being ignored. Watch ZeeeMediaOfficial's shocking report for the truth behind AI’s unchecked rise—and what it means for our future.

Vigilant Fox 🦊

155,737 görüntüleme • 1 yıl önce

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
0:41

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

631,856 görüntüleme • 2 yıl önce

✨ Participation in TOKEN2049 in Singapore was a true revelation for everyone working in the fields of cryptocurrency, blockchain, and AI. The innovative ideas, engaging discussions, and debates that took place at this event provide a unique insight into the rapid evolution of the digital economy. 🔗 The DeHealth team showcased our advanced blockchain protocol at the conference, which gives users full control over their medical data. Our decentralized storage system ensures the security, accessibility, and complete privacy of medical information by using private keys for data management and integration with eHealth applications. We aim to set a new standard in data security and user control, paving the way for widespread adoption in healthcare. 💡 The conference discussed key trends and challenges facing public and private markets, as well as the future of financial instruments and infrastructure based on cryptocurrencies. Eastern and Western projects, solutions to privacy and transparency issues, and the challenges of fragmented cryptocurrency infrastructures were all major topics on the agenda. 🌍 Token2049 demonstrated that the future of crypto is not limited to technology alone—building sustainable and practical systems that can integrate into the global financial ecosystem is becoming a crucial aspect. At DeHealth, we are confident that this is just the beginning of our journey, and we will continue to move forward, bringing innovation to the fields of health and finance. 🚀 More information about the event and insights can be found in the article by DeHealth CEO Denys Tsvaig , which he wrote exclusively for HackerNoon. #Token2049 #Blockchain #DeHealth #CryptoInnovation #HealthData #BlockchainInHealth #DeFi #Crypto #Privacy #Transparency #tsvaig #FutureOfFinance #MedTech #DigitalEconomy #Singapore #BlockchainProtocol #DataOwnership #FinancialInnovation
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✨ Participation in TOKEN2049 in Singapore was a true revelation for everyone working in the fields of cryptocurrency, blockchain, and AI. The innovative ideas, engaging discussions, and debates that took place at this event provide a unique insight into the rapid evolution of the digital economy. 🔗 The DeHealth team showcased our advanced blockchain protocol at the conference, which gives users full control over their medical data. Our decentralized storage system ensures the security, accessibility, and complete privacy of medical information by using private keys for data management and integration with eHealth applications. We aim to set a new standard in data security and user control, paving the way for widespread adoption in healthcare. 💡 The conference discussed key trends and challenges facing public and private markets, as well as the future of financial instruments and infrastructure based on cryptocurrencies. Eastern and Western projects, solutions to privacy and transparency issues, and the challenges of fragmented cryptocurrency infrastructures were all major topics on the agenda. 🌍 Token2049 demonstrated that the future of crypto is not limited to technology alone—building sustainable and practical systems that can integrate into the global financial ecosystem is becoming a crucial aspect. At DeHealth, we are confident that this is just the beginning of our journey, and we will continue to move forward, bringing innovation to the fields of health and finance. 🚀 More information about the event and insights can be found in the article by DeHealth CEO Denys Tsvaig , which he wrote exclusively for HackerNoon. #Token2049 #Blockchain #DeHealth #CryptoInnovation #HealthData #BlockchainInHealth #DeFi #Crypto #Privacy #Transparency #tsvaig #FutureOfFinance #MedTech #DigitalEconomy #Singapore #BlockchainProtocol #DataOwnership #FinancialInnovation

DeHealth

10,268 görüntüleme • 1 yıl önce

Grateful to Squawk Box Andrew Ross Sorkin for the conversation in New York last week. Two things I keep coming back to: On building. Opening our New York hub and bringing John Andrews on board is about one thing — assembling the best people for the next decade. Capital is a means. A great company is the goal. On hardware. The economy of autonomous AI agents is arriving fast. They will increasingly make decisions—and access private information—on our behalf. When they do, one thing becomes critical: control. We must control our keys. Consent must be human-verifiable, secured by hardware at the core. As AI agents begin to hold and move value autonomously, the question isn’t which cloud they run on. The question is: where is the private key, and who controls the device that holds it? Hardware-anchored security is shifting from a “nice to have” to the invisible infrastructure of the digital world. That’s the Revenge of the Atoms.
0:53

Grateful to Squawk Box Andrew Ross Sorkin for the conversation in New York last week. Two things I keep coming back to: On building. Opening our New York hub and bringing John Andrews on board is about one thing — assembling the best people for the next decade. Capital is a means. A great company is the goal. On hardware. The economy of autonomous AI agents is arriving fast. They will increasingly make decisions—and access private information—on our behalf. When they do, one thing becomes critical: control. We must control our keys. Consent must be human-verifiable, secured by hardware at the core. As AI agents begin to hold and move value autonomously, the question isn’t which cloud they run on. The question is: where is the private key, and who controls the device that holds it? Hardware-anchored security is shifting from a “nice to have” to the invisible infrastructure of the digital world. That’s the Revenge of the Atoms.

Pascal Gauthier @Ledger

31,502 görüntüleme • 4 ay önce

Alexandr Wang, founder of Scale AI, on why the most overlooked layer of AI became its biggest competitive advantage: Wang left MIT in 2016 to start Scale AI, becoming the world's youngest self-made billionaire by betting on AI's unglamorous infrastructure layer while others chased flashier opportunities. His framework for understanding AI is simple. There are three major components: "You have compute, which folks like Nvidia work on. You have algorithms which folks like OpenAI or Google or Anthropic build. And then you have data." Compute had Nvidia. Algorithms had the major labs. Data had no one. That's exactly where Wang and his team made their bet: "We recognized early on that data was going to be a limiter. And there was nobody really working on it." What looked like a gap in the market turned out to be the foundation of it. Years later, Wang says every serious player in AI has arrived at the same conclusion: "Fast forward today, everybody I talked to recognizes that data is gold. Whether it's our customers, the major labs like the OpenAIs or the Metas of the world, or large enterprises like Morgan Stanley or Mastercard, or our partnership between Cisco and Scale." Alexandr Wang continues: "Data is going to be what will differentiate and power the next generation of powerful AI capabilities."
0:46

Alexandr Wang, founder of Scale AI, on why the most overlooked layer of AI became its biggest competitive advantage: Wang left MIT in 2016 to start Scale AI, becoming the world's youngest self-made billionaire by betting on AI's unglamorous infrastructure layer while others chased flashier opportunities. His framework for understanding AI is simple. There are three major components: "You have compute, which folks like Nvidia work on. You have algorithms which folks like OpenAI or Google or Anthropic build. And then you have data." Compute had Nvidia. Algorithms had the major labs. Data had no one. That's exactly where Wang and his team made their bet: "We recognized early on that data was going to be a limiter. And there was nobody really working on it." What looked like a gap in the market turned out to be the foundation of it. Years later, Wang says every serious player in AI has arrived at the same conclusion: "Fast forward today, everybody I talked to recognizes that data is gold. Whether it's our customers, the major labs like the OpenAIs or the Metas of the world, or large enterprises like Morgan Stanley or Mastercard, or our partnership between Cisco and Scale." Alexandr Wang continues: "Data is going to be what will differentiate and power the next generation of powerful AI capabilities."

Big Brain AI

11,395 görüntüleme • 2 ay önce

The headlines in newspapers echo with concerns about water scarcity and heat waves. We've all read about it, felt its effects, and even discussed it, but are we truly taking action? In the face of these alarming climate challenges, it may feel overwhelming as individuals to make a difference. However, the inspiring journey of Kanha Shanti Vanam , the heartfulness headquarters and the world’s largest meditation center, serves as a testament that even small, strategic changes can make a significant impact on saving our Earth. From simple acts like managing our waste to conscientiously closing taps, there's a multitude of actions we can take. Let's make every day Earth Day! What steps will you commit to taking for our planet, our home? 🌍 #EarthDay #EarthDay2024 #EarthDayEveryDay
1:00

The headlines in newspapers echo with concerns about water scarcity and heat waves. We've all read about it, felt its effects, and even discussed it, but are we truly taking action? In the face of these alarming climate challenges, it may feel overwhelming as individuals to make a difference. However, the inspiring journey of Kanha Shanti Vanam , the heartfulness headquarters and the world’s largest meditation center, serves as a testament that even small, strategic changes can make a significant impact on saving our Earth. From simple acts like managing our waste to conscientiously closing taps, there's a multitude of actions we can take. Let's make every day Earth Day! What steps will you commit to taking for our planet, our home? 🌍 #EarthDay #EarthDay2024 #EarthDayEveryDay

Heartfulness

20,004 görüntüleme • 2 yıl önce

We spent over $1M *each* on the first two Jeremy’s Razors commercials. On this latest one, we spent like forty-seven. Dollars. AI is here. It presents many new challenges. It presents many new opportunities, too. This commercial couldn’t have been made without AI. Or, at least, no one in their right mind would have tried to make it without AI. It represents the very beginning of our vision for an AI future - one that expands our capabilities as humans and helps us realize our goals as a company and as a movement. At Jeremy’s Razors and across all of our Daily Wire Ventures, our goal is to build the most successful company we can to fight the left and build the future - not to fight the future itself. Fighting the future is a fool’s errand. AI is here. We intend to use it. AI will not replace humans, but it will replace humans who don’t embrace AI. At Daily Wire, we're embracing it. We plan to lean into the AI future - to help address the challenges and unlock the opportunities. For now, please enjoy this totally plausible and believable story of the genesis of Jeremy’s Razor’s new and improved Gen II handle and blades.
1:55

We spent over $1M *each* on the first two Jeremy’s Razors commercials. On this latest one, we spent like forty-seven. Dollars. AI is here. It presents many new challenges. It presents many new opportunities, too. This commercial couldn’t have been made without AI. Or, at least, no one in their right mind would have tried to make it without AI. It represents the very beginning of our vision for an AI future - one that expands our capabilities as humans and helps us realize our goals as a company and as a movement. At Jeremy’s Razors and across all of our Daily Wire Ventures, our goal is to build the most successful company we can to fight the left and build the future - not to fight the future itself. Fighting the future is a fool’s errand. AI is here. We intend to use it. AI will not replace humans, but it will replace humans who don’t embrace AI. At Daily Wire, we're embracing it. We plan to lean into the AI future - to help address the challenges and unlock the opportunities. For now, please enjoy this totally plausible and believable story of the genesis of Jeremy’s Razor’s new and improved Gen II handle and blades.

Jeremy Boreing

2,488,383 görüntüleme • 1 yıl önce

Was very excited about this thoughtful conversation with Jonathan Ehrenfeld, Head of Strategy at Swift. I think it clearly showcases the large benefits of Swift as a private key signing infrastructure, financial standards organization and network for routing key financial messages/information across the capital markets, among many other key services it already provides. It is clear to me that for our industry to go to the next stage, we need to make sure that blockchains become compatible with the existing financial system. Chainlink has a key role to play in making that happen, by simplifying the connectivity of those traditional data, payment and compliance systems into all blockchains, as well as the connectivity of those blockchains between each other. There will continue to be more and more critical data, identity, payment, compliance and other key systems to be integrated into and across blockchains securely, which I feel Chainlink is in a unique position to address in ways no other system can. You can hear my and Jon's views in the full podcast here:
1:58

Was very excited about this thoughtful conversation with Jonathan Ehrenfeld, Head of Strategy at Swift. I think it clearly showcases the large benefits of Swift as a private key signing infrastructure, financial standards organization and network for routing key financial messages/information across the capital markets, among many other key services it already provides. It is clear to me that for our industry to go to the next stage, we need to make sure that blockchains become compatible with the existing financial system. Chainlink has a key role to play in making that happen, by simplifying the connectivity of those traditional data, payment and compliance systems into all blockchains, as well as the connectivity of those blockchains between each other. There will continue to be more and more critical data, identity, payment, compliance and other key systems to be integrated into and across blockchains securely, which I feel Chainlink is in a unique position to address in ways no other system can. You can hear my and Jon's views in the full podcast here:

Sergey Nazarov

52,040 görüntüleme • 1 yıl önce