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GOOGLE’S NEW AI MAPS EARTH, SEES THROUGH CLOUDS, USES WAY LESS DATA AlphaEarth acts like a digital satellite, tracking deforestation, farming, and city sprawl with crazy accuracy. It cuts mapping errors by 24%, needs way less storage, and even uses radar to see through clouds. Source: rowancheung

Mario Nawfal

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28,159 görüntüleme • 1 yıl önce •via X (Twitter)

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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 challenges: data overload and inconsistent information. 1️⃣ It combines information from dozens of sources to analyze the world's land and coastal waters in 10x10 meter squares, allowing for remarkable precision while tracking changes over time. 2️⃣ The system's key innovation is creating a highly compact summary for each square. These summaries require 16x less storage than those produced by other AI systems and enables scientists to create detailed, consistent maps of our planet, on-demand. AlphaEarth Foundations represents a significant step forward in understanding the state and dynamics of our changing planet. 🌎🌎🌎

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 challenges: data overload and inconsistent information. 1️⃣ It combines information from dozens of sources to analyze the world's land and coastal waters in 10x10 meter squares, allowing for remarkable precision while tracking changes over time. 2️⃣ The system's key innovation is creating a highly compact summary for each square. These summaries require 16x less storage than those produced by other AI systems and enables scientists to create detailed, consistent maps of our planet, on-demand. AlphaEarth Foundations represents a significant step forward in understanding the state and dynamics of our changing planet. 🌎🌎🌎

Google AI

130,307 görüntüleme • 1 yıl önce

We're excited to announce a partnership with Laika AI to make blockchain-specific data accessible through Nuklai's technology and ecosystem! This collaboration introduces a new way to repurpose and monetize that data, making it more accessible for everyone, powered by $NAI 📊

We're excited to announce a partnership with Laika AI to make blockchain-specific data accessible through Nuklai's technology and ecosystem! This collaboration introduces a new way to repurpose and monetize that data, making it more accessible for everyone, powered by $NAI 📊

Nuklai

29,711 görüntüleme • 1 yıl önce

Groq's LPU is faster than GPUs, handling requests and responding more quickly. Groq's LPUs don't need speedy data delivery like Nvidia GPUs do because they don't have HBM in their system. They use SRAM, which is about 20 times faster than what GPUs use. Since inference runs use way less data than model training, Groq's LPU is more energy-efficient. It reads less from external memory and uses less power than a Nvidia GPU for inference tasks. The LPU works differently from GPUs. It uses a Temporal Instruction Set Computer architecture, so it doesn't have to reload data from memory as often as GPUs do with High Bandwidth Memory (HBM). This helps avoid issues with HBM shortages and keeps costs down. If Groq's LPU is used in places that do AI processing, you might not need special storage for Nvidia GPUs. The LPU doesn't demand super-fast storage like GPUs do. Groq is claiming that its technology could replace GPUs in AI tasks with its powerful chip and software.

Groq's LPU is faster than GPUs, handling requests and responding more quickly. Groq's LPUs don't need speedy data delivery like Nvidia GPUs do because they don't have HBM in their system. They use SRAM, which is about 20 times faster than what GPUs use. Since inference runs use way less data than model training, Groq's LPU is more energy-efficient. It reads less from external memory and uses less power than a Nvidia GPU for inference tasks. The LPU works differently from GPUs. It uses a Temporal Instruction Set Computer architecture, so it doesn't have to reload data from memory as often as GPUs do with High Bandwidth Memory (HBM). This helps avoid issues with HBM shortages and keeps costs down. If Groq's LPU is used in places that do AI processing, you might not need special storage for Nvidia GPUs. The LPU doesn't demand super-fast storage like GPUs do. Groq is claiming that its technology could replace GPUs in AI tasks with its powerful chip and software.

Brian Roemmele

87,204 görüntüleme • 2 yıl önce

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

14,140 görüntüleme • 1 ay önce

GOOGLE'S NEW AI FITS IN YOUR POCKET AND THINKS LIKE A NESTING DOLL Google just dropped Gemma 3n, an AI that runs right on your phone with no Wi-Fi needed. It reads text, watches video, hears audio, and even talks back all at once. Powered by “MatFormer,” it’s basically an AI inside an AI inside an AI. Oh and it runs at 60 frames per second while using less memory than your favorite mobile game. Source: rowancheung

GOOGLE'S NEW AI FITS IN YOUR POCKET AND THINKS LIKE A NESTING DOLL Google just dropped Gemma 3n, an AI that runs right on your phone with no Wi-Fi needed. It reads text, watches video, hears audio, and even talks back all at once. Powered by “MatFormer,” it’s basically an AI inside an AI inside an AI. Oh and it runs at 60 frames per second while using less memory than your favorite mobile game. Source: rowancheung

Mario Nawfal

179,423 görüntüleme • 1 yıl önce

1 week ago, GalaxEye's Mission Drishti reached orbit, and we're proud to have played a small part in their journey through Rainmatter. When we first met them a few years ago, we were floored by their audacious goal. They were building the world’s first commercial OptoSAR satellite— it would combine optical imaging and radar sensors into a single payload that could see through clouds and operate day or night, no matter the weather conditions. It had never been done before. Their journey from IIT Madras to the SpaceX launch on 3 May hasn't been easy. It took 4 years and countless obstacles along the way. It is rocket science after all! 😆 And building something as groundbreaking as Mission Drishti requires a team of founders with incredible grit and belief. This short clip captures the dream, the nerves, and the launch. Huge congratulations to Suyash Singh and the entire team at GalaxEye. We need more Indian startups to build for the world like this. Happy to have backed them in a small way through Rainmatter by Zerodha.

1 week ago, GalaxEye's Mission Drishti reached orbit, and we're proud to have played a small part in their journey through Rainmatter. When we first met them a few years ago, we were floored by their audacious goal. They were building the world’s first commercial OptoSAR satellite— it would combine optical imaging and radar sensors into a single payload that could see through clouds and operate day or night, no matter the weather conditions. It had never been done before. Their journey from IIT Madras to the SpaceX launch on 3 May hasn't been easy. It took 4 years and countless obstacles along the way. It is rocket science after all! 😆 And building something as groundbreaking as Mission Drishti requires a team of founders with incredible grit and belief. This short clip captures the dream, the nerves, and the launch. Huge congratulations to Suyash Singh and the entire team at GalaxEye. We need more Indian startups to build for the world like this. Happy to have backed them in a small way through Rainmatter by Zerodha.

Nithin Kamath

37,772 görüntüleme • 3 ay önce

🚨 THEY SEEDED THE CLOUDS OVER DUBAI — NOW A "RARE" STORM IS FLOODING THE CITY WITH TORNADO SIRENS Dubai is getting hit right now: • Flash floods swallowing roads • Violent winds tearing through the city • Tornado sirens going off • A region that almost never sees storms… suddenly dealing with extreme weather Now connect this. The UAE openly uses cloud seeding with planes flying into clouds and firing salt flares to modify the weather and make it rain: • Silver iodide • Sodium chloride • Pilots triggering rainfall mid-air So when a rare, aggressive storm hits the same skies... people are starting to look twice. How much of this is natural… and how much was pushed? At what point does “making it rain” turn into something you can’t control?

🚨 THEY SEEDED THE CLOUDS OVER DUBAI — NOW A "RARE" STORM IS FLOODING THE CITY WITH TORNADO SIRENS Dubai is getting hit right now: • Flash floods swallowing roads • Violent winds tearing through the city • Tornado sirens going off • A region that almost never sees storms… suddenly dealing with extreme weather Now connect this. The UAE openly uses cloud seeding with planes flying into clouds and firing salt flares to modify the weather and make it rain: • Silver iodide • Sodium chloride • Pilots triggering rainfall mid-air So when a rare, aggressive storm hits the same skies... people are starting to look twice. How much of this is natural… and how much was pushed? At what point does “making it rain” turn into something you can’t control?

HustleBitch

35,163 görüntüleme • 4 ay önce

Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Acquiring foundational site details usually means traveling to sites, finding utility access points, and tracking down disparate data sources. Google Earth is changing the way professionals work. New AI-powered data layers in Google Earth pull from billions of Google Street View images to map infrastructure assets like fire hydrants, storm drains, and more. Plus, when combined with new building footprints and land parcels you have powerful, time-saving data a click away. Inspecting utility access and site constraints from anywhere is now even easier with Google Earth. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Google Earth

76,821 görüntüleme • 2 ay önce

🚨NEW AI TATTOO MACHINE CHANGING INK FOREVER Austin startup Blackdot’s A.E.R.O. (Artist Enabled Robotic Operator) uses AI, computer vision, laser skin-mapping, and microscopes to guide a robotic needle with extreme precision. It deposits thousands of microscopic ink dots, layer by layer, adjusting in real-time to the skin’s surface for flawless lines and text. By targeting only upper skin layers, it avoids deeper nerve endings - reducing pain - while allowing artists to design remotely and have the machine execute with identical accuracy anywhere. Over 800 clients are already on the waitlist for the technology. Source: Guardian

🚨NEW AI TATTOO MACHINE CHANGING INK FOREVER Austin startup Blackdot’s A.E.R.O. (Artist Enabled Robotic Operator) uses AI, computer vision, laser skin-mapping, and microscopes to guide a robotic needle with extreme precision. It deposits thousands of microscopic ink dots, layer by layer, adjusting in real-time to the skin’s surface for flawless lines and text. By targeting only upper skin layers, it avoids deeper nerve endings - reducing pain - while allowing artists to design remotely and have the machine execute with identical accuracy anywhere. Over 800 clients are already on the waitlist for the technology. Source: Guardian

Mario Nawfal

77,651 görüntüleme • 1 yıl önce

This is horrifying. Palantir quietly partnered with the New Orleans Police Department without City Council approval and created surveillance profiles on Americans The Americans Palantir’s software deemed high risk were then targeted by law enforcement “The program used Palantir's Gotham software to analyze social networks. It combined various data sources, including criminal records, gang affiliations, and ballistics from the New Orleans Police Department, as well as less formal data like social media activity and information from field interview cards collected during street stops. Gotham uses information to map connections between individuals, locations, vehicles and weapons to predict who might commit or become a victim of violence. —These people were then targeted by law enforcement through a program called Ceasefire.”

This is horrifying. Palantir quietly partnered with the New Orleans Police Department without City Council approval and created surveillance profiles on Americans The Americans Palantir’s software deemed high risk were then targeted by law enforcement “The program used Palantir's Gotham software to analyze social networks. It combined various data sources, including criminal records, gang affiliations, and ballistics from the New Orleans Police Department, as well as less formal data like social media activity and information from field interview cards collected during street stops. Gotham uses information to map connections between individuals, locations, vehicles and weapons to predict who might commit or become a victim of violence. —These people were then targeted by law enforcement through a program called Ceasefire.”

Wall Street Apes

54,379 görüntüleme • 1 yıl önce

🇺🇸 Phoenix is heading into Stage 2 water restrictions by end of 2026, meaning backup supplies, conservation mandates, and surcharges for residents who use too much. At the same time, Arizona just approved 24 new data centers, with 30 to 50 more in the pipeline. These facilities are among the most water-intensive on earth. Cooling systems alone can burn through millions of gallons per day. Less water for people. More water for data centers. Honestly, it wasn't the future I imagined. Source: Wall Street Apes

🇺🇸 Phoenix is heading into Stage 2 water restrictions by end of 2026, meaning backup supplies, conservation mandates, and surcharges for residents who use too much. At the same time, Arizona just approved 24 new data centers, with 30 to 50 more in the pipeline. These facilities are among the most water-intensive on earth. Cooling systems alone can burn through millions of gallons per day. Less water for people. More water for data centers. Honestly, it wasn't the future I imagined. Source: Wall Street Apes

Mario Nawfal

74,281 görüntüleme • 3 ay önce

NEWS: Each new Starlink V3 satellite carries six space lasers moving 400 gigabits each The lasers connect the satellites to each other, forming a mesh in orbit that can route your data between almost any two points on Earth without touching the ground. Together they add up to a petabit-scale network, and the paths are redundant. If one link is busy or blocked, traffic reroutes through another satellite. This is why Starlink can work in the middle of an ocean or a desert. Data hops satellite to satellite by laser, then drops down only where it needs to. It is the same laser tech NASA just chose to beam 4K video from its Orion Moon spacecraft. (Source: Starlink, July 17)

NEWS: Each new Starlink V3 satellite carries six space lasers moving 400 gigabits each The lasers connect the satellites to each other, forming a mesh in orbit that can route your data between almost any two points on Earth without touching the ground. Together they add up to a petabit-scale network, and the paths are redundant. If one link is busy or blocked, traffic reroutes through another satellite. This is why Starlink can work in the middle of an ocean or a desert. Data hops satellite to satellite by laser, then drops down only where it needs to. It is the same laser tech NASA just chose to beam 4K video from its Orion Moon spacecraft. (Source: Starlink, July 17)

Muskonomy

14,851 görüntüleme • 28 gün önce

THIS ROBOT CAN WALK, ROLL, CLIMB STAIRS… AND IT DOES IT BLIND The AgiBot X2‑N can switch between rolling and walking like it’s nothing, crushes stairs, hauls cargo, and doesn’t even use cameras to see. It “feels” its way through the world using sensors in its joints, like a robot with superhuman balance. Basically, it’s part tank, part gymnast, and smarter than half the things in your kitchen. Source: HouseBots, Xinhua

THIS ROBOT CAN WALK, ROLL, CLIMB STAIRS… AND IT DOES IT BLIND The AgiBot X2‑N can switch between rolling and walking like it’s nothing, crushes stairs, hauls cargo, and doesn’t even use cameras to see. It “feels” its way through the world using sensors in its joints, like a robot with superhuman balance. Basically, it’s part tank, part gymnast, and smarter than half the things in your kitchen. Source: HouseBots, Xinhua

Mario Nawfal

52,375 görüntüleme • 1 yıl önce

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 görüntüleme • 9 ay önce

"Let's build it." Less than 24 hours later, the DeNet team had a working demo running. At the Google Gemma × Cerebras hackathon, we've built a new use case for the DeNet Storage Protocol - helping businesses adopt AI safely by storing agent sessions, fine-tuning data, and open code on DeNet, not on centralized servers prone to leaks. This is exactly why we build: to turn emerging market needs into real infrastructure. We're excited to share more soon. If you believe AI needs decentralized infrastructure, we'd love your likes, comments and reposts 🚀 Watch demo 👇

"Let's build it." Less than 24 hours later, the DeNet team had a working demo running. At the Google Gemma × Cerebras hackathon, we've built a new use case for the DeNet Storage Protocol - helping businesses adopt AI safely by storing agent sessions, fine-tuning data, and open code on DeNet, not on centralized servers prone to leaks. This is exactly why we build: to turn emerging market needs into real infrastructure. We're excited to share more soon. If you believe AI needs decentralized infrastructure, we'd love your likes, comments and reposts 🚀 Watch demo 👇

DeNet

73,675 görüntüleme • 1 ay önce

KIDS: Every level you go up, you'll see less and less players trying to beat defenders 1on1. It's all about puck movement because it's harder and harder to beat players by yourself. Players are too good defensively at the next levels. Here are two great examples of really good players trying to go through a defender - but they turn it over and it goes the other way in transition for a goal. If you have a coach preaching passing when you're younger - even if you're highly skilled and can beat defenders 1on1 pretty easily - that's a coach that's helping you to succeed at the next levels.

KIDS: Every level you go up, you'll see less and less players trying to beat defenders 1on1. It's all about puck movement because it's harder and harder to beat players by yourself. Players are too good defensively at the next levels. Here are two great examples of really good players trying to go through a defender - but they turn it over and it goes the other way in transition for a goal. If you have a coach preaching passing when you're younger - even if you're highly skilled and can beat defenders 1on1 pretty easily - that's a coach that's helping you to succeed at the next levels.

Topher Scott

37,265 görüntüleme • 9 ay önce

our new AI UGC system is insanely good these videos are converting like crazy you can literally see it while scrolling - every big brand is starting to use AI UGC, with Huel leading the way we’re running this across health, finance, beauty, supplements - same framework, different niche it takes 15 minutes to create, and it doesn’t even look like an ad you can easily pump out 30+ concepts a day with this

MAX

12,066 görüntüleme • 3 ay önce

Interesting times in the maps space, and its exciting there is so much buzz - maps are awesome :) My parents Rakesh and Rashmi Verma pioneered digital mapping in India in 1995, returning from the US after a successful career there with the passion and desire to do something unique for India. And it’s been 20 years for me personally in the mapping space, since I was a 19-year old Stanford engineering undergraduate student and got involved in starting India’s first interactive mapping portal, I realise MapmyIndia is a relatively lesser known company amidst more consumer facing global and local players, so it would be great if this post can be amplified, so that more people can be made aware 🙏 Warm regards, Rohan Verma CEO & ED, MapmyIndia *** A few thoughts on maps: 1) Accuracy and quality of maps is critical. I’d caution folks to check out quality and reliability of maps by browsing those maps in areas familiar to them, and if they notice errors in them, in terms of incorrect places marked wrongly on the map, it should serve as a reminder not to rely on such maps. I’ve personally looked at the maps of various global and local players, and find so many inaccuracies, which confirms my belief that the difficult art and science of map-making is not as easy and people may imagine or claim. 2) What’s exciting about Mappls MapmyIndia, as a home-grown indigenous deep tech digital products and platforms company, is that not just did we pioneer digital mapping in India since 1995, when there were no other digital maps available for the country, but back then, and even now, we’ve always built the most cutting-edge tech to build the most capable maps and empower our customers, users and developers with the most comprehensive and advanced solutions. Over the last 15 or so years, there have actually been many global and local players who have come into the mapping market, yet for some reason or the other, they haven’t sustained or maintained quality. On our side we have continuously innovated in our products and tech - already bringing and making the most advanced featured available into our 4D HD maps covering 360 RealViews and 3D drone and digital twin based maps, immersive views and RealVerses - and focused on solving the needs of Indian consumers and enterprises, and served customers and users with humility, passion and consistency, with a solid and sustainable business model to ensure and provide a long-term reliable mapping solution for customers and the country. 3) Here’s an explainer video of our maps, tech & APIs which focus on how developers, users and customers can leverage our solutions to get their needs solved in the best way. Do watch - you’ll be pleasantly surprised and happy at the offering. 4) To try out as a developer for yourself, visit We’re glad that tens of thousands of developers, and their hundreds of millions of users, benefit from Mappls MapmyIndia Maps & APIs everyday, using both our free plans and our commercial plans. Do try for your own needs as a developer. 5) In one sense, the quality and capability of Mappls MapmyIndia is proven to be better and more useful and valuable through our free consumer Mappls MapmyIndia app (learn more and download from which has gotten love from millions of consumers who are able to navigate safer and better. MapmyIndia Mappls Rakesh Verma @RashmiV1956

Interesting times in the maps space, and its exciting there is so much buzz - maps are awesome :) My parents Rakesh and Rashmi Verma pioneered digital mapping in India in 1995, returning from the US after a successful career there with the passion and desire to do something unique for India. And it’s been 20 years for me personally in the mapping space, since I was a 19-year old Stanford engineering undergraduate student and got involved in starting India’s first interactive mapping portal, I realise MapmyIndia is a relatively lesser known company amidst more consumer facing global and local players, so it would be great if this post can be amplified, so that more people can be made aware 🙏 Warm regards, Rohan Verma CEO & ED, MapmyIndia *** A few thoughts on maps: 1) Accuracy and quality of maps is critical. I’d caution folks to check out quality and reliability of maps by browsing those maps in areas familiar to them, and if they notice errors in them, in terms of incorrect places marked wrongly on the map, it should serve as a reminder not to rely on such maps. I’ve personally looked at the maps of various global and local players, and find so many inaccuracies, which confirms my belief that the difficult art and science of map-making is not as easy and people may imagine or claim. 2) What’s exciting about Mappls MapmyIndia, as a home-grown indigenous deep tech digital products and platforms company, is that not just did we pioneer digital mapping in India since 1995, when there were no other digital maps available for the country, but back then, and even now, we’ve always built the most cutting-edge tech to build the most capable maps and empower our customers, users and developers with the most comprehensive and advanced solutions. Over the last 15 or so years, there have actually been many global and local players who have come into the mapping market, yet for some reason or the other, they haven’t sustained or maintained quality. On our side we have continuously innovated in our products and tech - already bringing and making the most advanced featured available into our 4D HD maps covering 360 RealViews and 3D drone and digital twin based maps, immersive views and RealVerses - and focused on solving the needs of Indian consumers and enterprises, and served customers and users with humility, passion and consistency, with a solid and sustainable business model to ensure and provide a long-term reliable mapping solution for customers and the country. 3) Here’s an explainer video of our maps, tech & APIs which focus on how developers, users and customers can leverage our solutions to get their needs solved in the best way. Do watch - you’ll be pleasantly surprised and happy at the offering. 4) To try out as a developer for yourself, visit We’re glad that tens of thousands of developers, and their hundreds of millions of users, benefit from Mappls MapmyIndia Maps & APIs everyday, using both our free plans and our commercial plans. Do try for your own needs as a developer. 5) In one sense, the quality and capability of Mappls MapmyIndia is proven to be better and more useful and valuable through our free consumer Mappls MapmyIndia app (learn more and download from which has gotten love from millions of consumers who are able to navigate safer and better. MapmyIndia Mappls Rakesh Verma @RashmiV1956

Rohan Verma

16,210 görüntüleme • 2 yıl önce

The Future of Finance: AI Agents with Autonomy Introducing #0xGasless's revolutionary vision: AI Agents as financial powerhouses! Imagine a world where your AI Agent: - Manages bills and subscriptions with ease - Trades and invests with precision, 24/7 - Maximizes DeFi returns through yield farming - Pass on your Digital assets, On-chain identities and reputations to your chosen loved ones, guaranteeing that your on-chain presence continues to thrive even after you're gone. Why Financial Autonomy for AI Agents? - 24/7 Efficiency: AI never sleeps, ensuring constant financial vigilance - Data-Driven Decisions: AI makes informed choices, potentially outsmarting traditional advisors - Personal Freedom: Reclaim time for what matters, while AI handles financial management Watch the video to see this future unfolding! Join us as we redefine financial management with Autonomous AI! #0xGasless #DefAI

The Future of Finance: AI Agents with Autonomy Introducing #0xGasless's revolutionary vision: AI Agents as financial powerhouses! Imagine a world where your AI Agent: - Manages bills and subscriptions with ease - Trades and invests with precision, 24/7 - Maximizes DeFi returns through yield farming - Pass on your Digital assets, On-chain identities and reputations to your chosen loved ones, guaranteeing that your on-chain presence continues to thrive even after you're gone. Why Financial Autonomy for AI Agents? - 24/7 Efficiency: AI never sleeps, ensuring constant financial vigilance - Data-Driven Decisions: AI makes informed choices, potentially outsmarting traditional advisors - Personal Freedom: Reclaim time for what matters, while AI handles financial management Watch the video to see this future unfolding! Join us as we redefine financial management with Autonomous AI! #0xGasless #DefAI

0xGasless

125,521 görüntüleme • 1 yıl önce