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The Apple Maps turnaround is impressive. ▫️iPhone started with Google Maps ▫️broke up after Google withheld voice-guided navigation (competitive advantage for Android) ▫️in 2012, started using TomTom data but sucked so bad Tim Cook apologized ▫️now spent billions mapping >4 million miles of proprietary street level maps data with...

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Trung Phan

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1,922,705 views • 4 months ago •via X (Twitter)

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BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.
2:59

BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.

M. Brandon Lee | THIS IS TECH TODAY

65,878 views • 1 month ago

Apple Maps 3d is insanely impressive now (see video below) Google on the other hand decided to build an insanely clunky solution to display 3d maps to avoid using mobile GPUs: A Google server streams (!) a live video of its 3d rendered map to you, the result is a disastrous: a super laggy and clunky 3d view full of video compression artefacts with a response time of 2-3 seconds for every movement And I know WHY they built that, someone felt it was not inclusive to only have 3d maps that are high performing on iOS because Apple's GPUs are insanely fast and can deal with it (as you can see below in Apple Maps) but they wanted to support inferior phones, I get it But then they also decided to worsen the experience for iOS users who could easily run 3d natively on its GPU It's just an insane product decision, there's no way to cut it: they could have super smooth 3d like Apple Maps but neutered it with a clunky live stream Even more insane because Google does have native 3d on iOS in a completely different app that nobody uses: Google Earth Is 3d important? Not rly for nav no but it shows again something about Google's engineering decisions, like the redesign of the Google OAuth Login screen that made zero sense Nobody is speaking up against bad ideas in Google meetings, everyone's too scared of HR maybe, it's the opposite of a meritocracy and it's just super visible from using Google products right now
0:52

Apple Maps 3d is insanely impressive now (see video below) Google on the other hand decided to build an insanely clunky solution to display 3d maps to avoid using mobile GPUs: A Google server streams (!) a live video of its 3d rendered map to you, the result is a disastrous: a super laggy and clunky 3d view full of video compression artefacts with a response time of 2-3 seconds for every movement And I know WHY they built that, someone felt it was not inclusive to only have 3d maps that are high performing on iOS because Apple's GPUs are insanely fast and can deal with it (as you can see below in Apple Maps) but they wanted to support inferior phones, I get it But then they also decided to worsen the experience for iOS users who could easily run 3d natively on its GPU It's just an insane product decision, there's no way to cut it: they could have super smooth 3d like Apple Maps but neutered it with a clunky live stream Even more insane because Google does have native 3d on iOS in a completely different app that nobody uses: Google Earth Is 3d important? Not rly for nav no but it shows again something about Google's engineering decisions, like the redesign of the Google OAuth Login screen that made zero sense Nobody is speaking up against bad ideas in Google meetings, everyone's too scared of HR maybe, it's the opposite of a meritocracy and it's just super visible from using Google products right now

@levelsio

1,488,981 views • 2 years ago

$GRAB Map is The New Google Maps(B2B)🧵 Here is your Free.99 analysis on GrabMap, for those that selling courses for $50-$500/m, if you are using my $GRAB and other analyses, I don't ask for much, at least give me some credit/cite. And yes 99.999% of my posts are Free.99. If you want to support my work, slap the like/repost, as I don't choose to write "Grab or any Ticker is going to x10 x100-x1000" kind of threads or "mark my words" to please the X Algo. Consider Subscribe($0.33/day) if you want to support my work further and get more in-depth analyses! TLDR: GrabMap could generate $7B-$15B a year alone for Grab B2B segment. That is why you are seeing Anthony Tan is mad excited abt this massive opportunity. And it also significantly boost GrabAds long term globally. This precisely proved my point that, Anthony is going to expand to 5B people and we are only 14% thesis realized right now. Grab doesn't have to be just Ride-share/Delivery when expanding! Grab , Southeast Asia's leading AI SuperApp for ride-hailing, food delivery, financial services,Tourism, Dine-Out and more, has developed its proprietary mapping platform, GrabMaps, a massive B2B revenue potential over the next long term, not just in Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam, Cambodia, and Myanmar but expanding beyond SEA markets/Customers. 1. GrabMaps: A Strategic Asset GrabMaps is not merely a technological tool but a critical component of Grab's ecosystem, powering its ride-hailing, food delivery, and financial services. Developed in-house, GrabMaps leverages data collected from Grab's vast network of driver-partners across eight SEA countries. This data-driven approach ensures hyper-local customization, addressing the unique challenges of SEA's urban environments, such as narrow alleys, informal roads, and rapid infrastructure changes. The recent announcement of KartaCam2, an upgraded street-level imaging device, marks a significant technological advancement. KartaCam2 enhances data collection by providing higher quality images and more precise location data, which are crucial for maintaining the accuracy and freshness of maps. This breakthrough is part of Grab's broader 2025 AI push, including integrations with OpenAI 's GPT-4o for vision-based mapping and the establishment of an AI Centre of Excellence. These innovations position GrabMaps as a formidable competitor to Google Maps, especially in regions where localized data is paramount. 2. Revenue implications long term The expansion of GrabMaps into B2B services opens up new revenue streams, which could significantly impact Grab's financial performance over the long term. But GrabMap is a brandnew B2B product, and GoogleMap generates around $13-$20B globally. A. Market Opportunity in Southeast Asia ~The SEA market presents a substantial opportunity for GrabMaps. The foodservice market alone is projected to grow from $223.8 billion in 2025 to $416.3 billion by 2030, indicating a robust demand for services that enhance operational efficiencies. Businesses in logistics, e-commerce, and urban planning could benefit from GrabMaps' precise mapping and navigation capabilities, potentially generating revenue through licensing fees, subscription models, and advertising. ~Grab's existing user base of over 46 million monthly transacting users provides a strong foundation for cross-selling B2B solutions, thereby increasing revenue without significant additional marketing costs. B. Competitive Advantage of a Future $500B MC AI SuperApp over Google Map Google Maps, while dominant, may not be as finely tuned for SEA's unique challenges. GrabMaps' hyper-local data and AI-driven enhancements offer a competitive edge, attracting businesses that require accurate and cost-effective mapping solutions. Revenue from B2B services could include: Licensing Fees: Enterprises can license GrabMaps' APIs and SDKs to integrate mapping functionalities into their operations. Subscription Models: Continuous updates and premium features could be offered on a subscription basis. Advertising Revenue: GrabAds, which leverages mapping data, could generate additional income through targeted advertising. C. Global Expansion is Inevitable ~The partnership with Tino in Mongolia is a strategic move to scale GrabMaps internationally. This marks Grab's first major mapping partnership outside SEA, indicating potential for revenue growth in other regions where Google Maps' dominance is less entrenched or where local data needs are acute. ~The use of IoT devices like KartaCam2 and KartaDashCam for real-time data collection could further enhance GrabMaps' value proposition, potentially increasing revenue through premium service offerings in new markets. D. Synergies w/ other businesses Grab's ecosystem approach allows for synergies between GrabMaps and other services like GrabPay, GrabFood, and GrabTransport. For example, businesses using GrabMaps for logistics could also adopt GrabPay for transactions, creating a revenue multiplier effect. 3. Google Map Revenue in Asia ~Total Revenue in Asia-Pacific (2018): Google APAC, based in Singapore, reported $20.24 billion out of the total $21.37 billion revenue in the Asia-Pacific region. This indicates that a significant portion of Google's revenue in Asia is attributed to Singapore, likely due to its role as a hub for Google’s operations. ~Advertising Revenue: In 2018, Google APAC generated $15.8 billion from advertising alone, compared to $4.4 billion from other activities like Google Play. Advertising on Google properties, including Google Maps, is a major revenue driver. ~Market Share in Search Marketing: Google Maps holds a 62.34% market share in the search marketing category, competing with tools like Wix (26.54%) and Google Ads (4.14%). This dominance suggests that a considerable portion of Google’s advertising revenue in Asia is linked to mapping services. For the full fiscal year 2024, Alphabet (Google's parent company) generated $56.82 billion in revenue from the Asia-Pacific (APAC) region. This represented approximately 16.24% of the company's total revenue for the year. If we take a conservative estimate at 25% of $56.82B of Google's total advertising revenue in Asia is related to mapping services= $14.2B. => If GrabMaps secures even 50% of this market share in SEA, it could generate around $7B annually from this segment alone. GrabMap is 4x lower error rate, 10x lower latency, 75% fewer mapping mistakes, and much cheaper than GoogleMap. With OpenAI GPT-4o fine-tuning, GrabMaps hit 80% accuracy for speed limits and lanes13-20% above prior levels excelling in occlusions ( rainy monsoons) where Google relies more on satellite data. Now do you understand why Google and HSBC are clapping $GRAB on search and downgrade? Yes, because GrabMap is a massive threat and Grab Anthony Tan refused to buy $goto since 2020. Conclusion: Grab's expansion of GrabMaps into B2B services represents a strategic move to challenge Google Maps' dominance in Asia, particularly in SEA and future expansion. The revenue implications are substantial, with potential gains from licensing fees, subscription models, advertising, and international expansions. While Google Maps generates billions in revenue, primarily through advertising, GrabMaps' localized and AI-enhanced approach could carve out a significant niche, especially in regions where precise, real-time mapping data is critical. The success of this strategy will depend on Grab's ability to scale internationally, maintain technological superiority, and effectively monetize its B2B offerings. However, the opportunity is clear, and Grab's ecosystem approach positions it well to capitalize on the growing demand for advanced mapping solutions in a rapidly digitalizing world. This move not only enhances Grab's revenue potential but also solidifies its role as a key player in the global tech landscape. Not Financial Advice! Source: Grab Dot Com.
1:26

$GRAB Map is The New Google Maps(B2B)🧵 Here is your Free.99 analysis on GrabMap, for those that selling courses for $50-$500/m, if you are using my $GRAB and other analyses, I don't ask for much, at least give me some credit/cite. And yes 99.999% of my posts are Free.99. If you want to support my work, slap the like/repost, as I don't choose to write "Grab or any Ticker is going to x10 x100-x1000" kind of threads or "mark my words" to please the X Algo. Consider Subscribe($0.33/day) if you want to support my work further and get more in-depth analyses! TLDR: GrabMap could generate $7B-$15B a year alone for Grab B2B segment. That is why you are seeing Anthony Tan is mad excited abt this massive opportunity. And it also significantly boost GrabAds long term globally. This precisely proved my point that, Anthony is going to expand to 5B people and we are only 14% thesis realized right now. Grab doesn't have to be just Ride-share/Delivery when expanding! Grab , Southeast Asia's leading AI SuperApp for ride-hailing, food delivery, financial services,Tourism, Dine-Out and more, has developed its proprietary mapping platform, GrabMaps, a massive B2B revenue potential over the next long term, not just in Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam, Cambodia, and Myanmar but expanding beyond SEA markets/Customers. 1. GrabMaps: A Strategic Asset GrabMaps is not merely a technological tool but a critical component of Grab's ecosystem, powering its ride-hailing, food delivery, and financial services. Developed in-house, GrabMaps leverages data collected from Grab's vast network of driver-partners across eight SEA countries. This data-driven approach ensures hyper-local customization, addressing the unique challenges of SEA's urban environments, such as narrow alleys, informal roads, and rapid infrastructure changes. The recent announcement of KartaCam2, an upgraded street-level imaging device, marks a significant technological advancement. KartaCam2 enhances data collection by providing higher quality images and more precise location data, which are crucial for maintaining the accuracy and freshness of maps. This breakthrough is part of Grab's broader 2025 AI push, including integrations with OpenAI 's GPT-4o for vision-based mapping and the establishment of an AI Centre of Excellence. These innovations position GrabMaps as a formidable competitor to Google Maps, especially in regions where localized data is paramount. 2. Revenue implications long term The expansion of GrabMaps into B2B services opens up new revenue streams, which could significantly impact Grab's financial performance over the long term. But GrabMap is a brandnew B2B product, and GoogleMap generates around $13-$20B globally. A. Market Opportunity in Southeast Asia ~The SEA market presents a substantial opportunity for GrabMaps. The foodservice market alone is projected to grow from $223.8 billion in 2025 to $416.3 billion by 2030, indicating a robust demand for services that enhance operational efficiencies. Businesses in logistics, e-commerce, and urban planning could benefit from GrabMaps' precise mapping and navigation capabilities, potentially generating revenue through licensing fees, subscription models, and advertising. ~Grab's existing user base of over 46 million monthly transacting users provides a strong foundation for cross-selling B2B solutions, thereby increasing revenue without significant additional marketing costs. B. Competitive Advantage of a Future $500B MC AI SuperApp over Google Map Google Maps, while dominant, may not be as finely tuned for SEA's unique challenges. GrabMaps' hyper-local data and AI-driven enhancements offer a competitive edge, attracting businesses that require accurate and cost-effective mapping solutions. Revenue from B2B services could include: Licensing Fees: Enterprises can license GrabMaps' APIs and SDKs to integrate mapping functionalities into their operations. Subscription Models: Continuous updates and premium features could be offered on a subscription basis. Advertising Revenue: GrabAds, which leverages mapping data, could generate additional income through targeted advertising. C. Global Expansion is Inevitable ~The partnership with Tino in Mongolia is a strategic move to scale GrabMaps internationally. This marks Grab's first major mapping partnership outside SEA, indicating potential for revenue growth in other regions where Google Maps' dominance is less entrenched or where local data needs are acute. ~The use of IoT devices like KartaCam2 and KartaDashCam for real-time data collection could further enhance GrabMaps' value proposition, potentially increasing revenue through premium service offerings in new markets. D. Synergies w/ other businesses Grab's ecosystem approach allows for synergies between GrabMaps and other services like GrabPay, GrabFood, and GrabTransport. For example, businesses using GrabMaps for logistics could also adopt GrabPay for transactions, creating a revenue multiplier effect. 3. Google Map Revenue in Asia ~Total Revenue in Asia-Pacific (2018): Google APAC, based in Singapore, reported $20.24 billion out of the total $21.37 billion revenue in the Asia-Pacific region. This indicates that a significant portion of Google's revenue in Asia is attributed to Singapore, likely due to its role as a hub for Google’s operations. ~Advertising Revenue: In 2018, Google APAC generated $15.8 billion from advertising alone, compared to $4.4 billion from other activities like Google Play. Advertising on Google properties, including Google Maps, is a major revenue driver. ~Market Share in Search Marketing: Google Maps holds a 62.34% market share in the search marketing category, competing with tools like Wix (26.54%) and Google Ads (4.14%). This dominance suggests that a considerable portion of Google’s advertising revenue in Asia is linked to mapping services. For the full fiscal year 2024, Alphabet (Google's parent company) generated $56.82 billion in revenue from the Asia-Pacific (APAC) region. This represented approximately 16.24% of the company's total revenue for the year. If we take a conservative estimate at 25% of $56.82B of Google's total advertising revenue in Asia is related to mapping services= $14.2B. => If GrabMaps secures even 50% of this market share in SEA, it could generate around $7B annually from this segment alone. GrabMap is 4x lower error rate, 10x lower latency, 75% fewer mapping mistakes, and much cheaper than GoogleMap. With OpenAI GPT-4o fine-tuning, GrabMaps hit 80% accuracy for speed limits and lanes13-20% above prior levels excelling in occlusions ( rainy monsoons) where Google relies more on satellite data. Now do you understand why Google and HSBC are clapping $GRAB on search and downgrade? Yes, because GrabMap is a massive threat and Grab Anthony Tan refused to buy $goto since 2020. Conclusion: Grab's expansion of GrabMaps into B2B services represents a strategic move to challenge Google Maps' dominance in Asia, particularly in SEA and future expansion. The revenue implications are substantial, with potential gains from licensing fees, subscription models, advertising, and international expansions. While Google Maps generates billions in revenue, primarily through advertising, GrabMaps' localized and AI-enhanced approach could carve out a significant niche, especially in regions where precise, real-time mapping data is critical. The success of this strategy will depend on Grab's ability to scale internationally, maintain technological superiority, and effectively monetize its B2B offerings. However, the opportunity is clear, and Grab's ecosystem approach positions it well to capitalize on the growing demand for advanced mapping solutions in a rapidly digitalizing world. This move not only enhances Grab's revenue potential but also solidifies its role as a key player in the global tech landscape. Not Financial Advice! Source: Grab Dot Com.

Mike

120,532 views • 9 months ago

WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.
0:24

WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.

Shruti

19,832 views • 2 months ago

WOAH 🚨 California Rep Carl DeMaio says California Democrats are creating legislation to control Apple Maps and Google Maps to dictate the commute you take The bill is ‘AB 2015’ and “The politicians want to pass a bill, I can't even believe that they're trying to do this to regulate and manipulate Apple Maps, Google Maps, or whatever software you use to plot out your commute. What business is it of government what route you take? Well, a lot of them are saying that they need to protect the environment. What it means is that your commute's going to take longer. Literally, they're going to probably tell your map software, well, make sure we 'Fight climate change, so let's add 30 minutes to the commute.' This is absurd” What this bill really does is it lets cities and governments tell these navigation companies there are designated “slow streets” The fan demand these areas are “walking or biking zones” and they can’t route cars through The risk is with this power in the future they can designate areas as high pollution zones and stop people from being navigated anywhere they want This is something that must not pass
1:40

WOAH 🚨 California Rep Carl DeMaio says California Democrats are creating legislation to control Apple Maps and Google Maps to dictate the commute you take The bill is ‘AB 2015’ and “The politicians want to pass a bill, I can't even believe that they're trying to do this to regulate and manipulate Apple Maps, Google Maps, or whatever software you use to plot out your commute. What business is it of government what route you take? Well, a lot of them are saying that they need to protect the environment. What it means is that your commute's going to take longer. Literally, they're going to probably tell your map software, well, make sure we 'Fight climate change, so let's add 30 minutes to the commute.' This is absurd” What this bill really does is it lets cities and governments tell these navigation companies there are designated “slow streets” The fan demand these areas are “walking or biking zones” and they can’t route cars through The risk is with this power in the future they can designate areas as high pollution zones and stop people from being navigated anywhere they want This is something that must not pass

Wall Street Apes

171,290 views • 2 months ago

APPLE MAPS GETS CYPRUS RIGHT🚨 Apple has done what so many other map providers fail to do, respecting the truth about Cyprus. All towns and villages in the illegally occupied areas of Cyprus are correctly displayed with their original Greek names, as they have been for centuries and not the illegal names imposed by the Turkish occupying regime after the 1974 brutal invasion. This is the accurate, honest and respectful approach that other map providers especially Google should follow. History matters and so does the truth. Thank you Apple, for standing on the side of facts and international legitimacy.
1:46

APPLE MAPS GETS CYPRUS RIGHT🚨 Apple has done what so many other map providers fail to do, respecting the truth about Cyprus. All towns and villages in the illegally occupied areas of Cyprus are correctly displayed with their original Greek names, as they have been for centuries and not the illegal names imposed by the Turkish occupying regime after the 1974 brutal invasion. This is the accurate, honest and respectful approach that other map providers especially Google should follow. History matters and so does the truth. Thank you Apple, for standing on the side of facts and international legitimacy.

Harry Theocharous

82,336 views • 1 month ago

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
15:29

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 views • 2 years ago

Google just dropped its most powerful model and GPT-4's biggest competitor, Gemini Ultra. Here's what stands out: 1. You can opt out of training data when signing up 2. There is a digital watermark applied to all images generated by Imagen 2 within Gemini Ultra (but you can't see it) 3. Ultra is much more capable of complex tasks than Gemini Pro, such as coding, logical reasoning, and following longer/more detailed instructions. 4. There's a brand new Google Gemini App on Google Play and the App Store (in the US only for now) 5. Gemini on Android supports some existing Google Assistant features like controlling your Home devices, setting alarms, and more 6. Gemini on Android can pull data from Google Flights, Google Hotels, Google Maps, Workspace, and YouTube and be invoked by saying “Hey Google” 7. Bard is now fully rebranded as Gemini (RIP Bard) 8. It’s finally coming to Canada 🇨🇦 9. Gemini Ultra is priced at $20/mo (same price as ChatGPT) but has a 2-month free trial I'll be testing it out and sharing more thoughts in my newsletter tomorrow morning. If you've tried it, what are your first impressions? Let me know where it performed better/worse than GPT-4.
1:13

Google just dropped its most powerful model and GPT-4's biggest competitor, Gemini Ultra. Here's what stands out: 1. You can opt out of training data when signing up 2. There is a digital watermark applied to all images generated by Imagen 2 within Gemini Ultra (but you can't see it) 3. Ultra is much more capable of complex tasks than Gemini Pro, such as coding, logical reasoning, and following longer/more detailed instructions. 4. There's a brand new Google Gemini App on Google Play and the App Store (in the US only for now) 5. Gemini on Android supports some existing Google Assistant features like controlling your Home devices, setting alarms, and more 6. Gemini on Android can pull data from Google Flights, Google Hotels, Google Maps, Workspace, and YouTube and be invoked by saying “Hey Google” 7. Bard is now fully rebranded as Gemini (RIP Bard) 8. It’s finally coming to Canada 🇨🇦 9. Gemini Ultra is priced at $20/mo (same price as ChatGPT) but has a 2-month free trial I'll be testing it out and sharing more thoughts in my newsletter tomorrow morning. If you've tried it, what are your first impressions? Let me know where it performed better/worse than GPT-4.

Rowan Cheung

160,813 views • 2 years ago

i just watched a guy scrape google maps with an ai agent and show EXACTLY which boring businesses can make you stupid money in your local area not HVAC or plumbing...the local startup ideas NOBODY talks about how it works (save this) 1/ a workflow that finds overlooked local niches like garage organizers and irrigation systems through google map's treasure chest of data 2/ an agent that measures demand by tracking review volume and velocity in google maps 3/ a system that turns customer complaints into newsletter content automatically 4/ a workflow hosted on n8n for $7/month that runs nonstop and gets you concurrent workflows so dont hit a ceiling on workflows 5/ a directory that sells leads back to service providers for $100–200 each 6/ a process that scales to $20–30k/month with minimal overhead The Boring Marketer shared every step on The Startup Ideas Podcast (SIP) 🧃 and i thank him for sharing that sauce FOR FREE (people charge $10k+ for this sorta stuff) cool thing is he started a mobile diesel company in north carolina using this exact process that's making $30k/month so he knows it works what hit me is how obvious it felt. of course google maps has the gold just need AI to shovel it out.
27:24

i just watched a guy scrape google maps with an ai agent and show EXACTLY which boring businesses can make you stupid money in your local area not HVAC or plumbing...the local startup ideas NOBODY talks about how it works (save this) 1/ a workflow that finds overlooked local niches like garage organizers and irrigation systems through google map's treasure chest of data 2/ an agent that measures demand by tracking review volume and velocity in google maps 3/ a system that turns customer complaints into newsletter content automatically 4/ a workflow hosted on n8n for $7/month that runs nonstop and gets you concurrent workflows so dont hit a ceiling on workflows 5/ a directory that sells leads back to service providers for $100–200 each 6/ a process that scales to $20–30k/month with minimal overhead The Boring Marketer shared every step on The Startup Ideas Podcast (SIP) 🧃 and i thank him for sharing that sauce FOR FREE (people charge $10k+ for this sorta stuff) cool thing is he started a mobile diesel company in north carolina using this exact process that's making $30k/month so he knows it works what hit me is how obvious it felt. of course google maps has the gold just need AI to shovel it out.

GREG ISENBERG

504,201 views • 11 months ago

Goodbye clicking on Google Street View to check out the route! In your browser, with you can actually drive anywhere in the world🚀 You can also create multiplayer races🚗🏎🚓 The world is generated ahead of you in real-time from OpenStreetMap data combined with satellite elevation data as you drive. Just added a WIP of night mode and replaced the placeholder terrain/road textures with some nicer physics-based textures. Also now anywhere you go a million street lights will be added too. This is actually slowly starting to look like the promised Need For Speed + Google Maps #threejs #gamedev #indiedev Single player mode: Just find a location, click anywhere on the map and click "Hop Here". After parachuting down hold X to call the car to the road. Multiplayer mode: Click on "Create race" and select start and finish points. A route will be plotted. Click on Share Race to get the link and start racing!
1:32

Goodbye clicking on Google Street View to check out the route! In your browser, with you can actually drive anywhere in the world🚀 You can also create multiplayer races🚗🏎🚓 The world is generated ahead of you in real-time from OpenStreetMap data combined with satellite elevation data as you drive. Just added a WIP of night mode and replaced the placeholder terrain/road textures with some nicer physics-based textures. Also now anywhere you go a million street lights will be added too. This is actually slowly starting to look like the promised Need For Speed + Google Maps #threejs #gamedev #indiedev Single player mode: Just find a location, click anywhere on the map and click "Hop Here". After parachuting down hold X to call the car to the road. Multiplayer mode: Click on "Create race" and select start and finish points. A route will be plotted. Click on Share Race to get the link and start racing!

DVLP

13,421,347 views • 12 days ago

Google just STOLE Apple away from OpenAI... And it might decide who wins the AI race. Apple announced a multi-year $1 billion deal with Google to power the next generation of Siri using Gemini AI. Not ChatGPT. Gemini. This is the same Apple that 18 months ago announced a partnership with OpenAI to integrate ChatGPT into iPhones. Everyone thought that meant OpenAI won. Turns out it was an audition. And OpenAI failed. Here's why: June 2024: Apple announces OpenAI partnership. Sam Altman tweets: "very happy to be partnering with apple." Media declares OpenAI the winner of the AI race. December 2025: Sam Altman issues "code red" at OpenAI. Tells everyone to pause everything and ship ChatGPT 5.2 faster. Why the panic? Google released Gemini 3 and it was actually good. January 2026: Apple picks Google. ChatGPT stays as an "optional feature" for complicated queries. But Gemini becomes the DEFAULT intelligence layer for 2 billion Apple devices. The financial reality: Apple pays OpenAI $0 But Apple pays Google $1 BILLION per year That's a verdict. The excuse OpenAI gave for why they did it for free was "exposure to millions of iPhone users." Which basically means "we couldn't negotiate worth shit." Meanwhile Google walked away with both the money AND the distribution. Why Google won: Infrastructure ownership. OpenAI runs on Microsoft's Azure cloud. That creates a dependency chain: Apple → OpenAI → Microsoft. 3 companies. 3 points of failure. Google owns its entire stack. One relationship. Zero middlemen. Apple's statement said Google's technology provides "the most capable foundation." Not "most innovative." Not "best partner." Most CAPABLE. In other words, OpenAI's tech couldn't handle the scale. The Alphabet boost: Google's stock hit $4 trillion market cap after the announcement. Up 65% in 2024 on AI momentum alone. This deal validates Google's pivot from "search company" to "AI infrastructure company." Now they power Samsung's Galaxy AI AND Apple's Siri. Billions of mobile devices running on Gemini. OpenAI's big problem here: Still no profit. Ever. Anthropic is stealing enterprise customers. DeepSeek launched a price war forcing ChatGPT to cut prices. GPT-5 was overhyped and underwhelming. Circular financing deals are getting scrutinized. And now Apple just downgraded them from partner to backup option. That "code red" in December? Too little, too late. The reality everyone's missing: This isn't about chatbot quality. It's about who owns the infrastructure to power billions of devices. Google proved it with Samsung. Now Apple. OpenAI proved it can build a viral product but can't scale it profitably. Very different skill sets. Elon called it "unreasonable concentration of power for Google." He's right. But that's exactly why Apple chose them. Apple doesn't want a startup partner. They want a utility provider. Google is now the default AI for Android AND iOS. OpenAI is relegated to opt-in queries for people who specifically request ChatGPT. That's the difference between infrastructure and feature. The next 12 months: Apple launches Gemini-powered Siri in spring 2026. If it works, every iPhone user defaults to Google's AI. ChatGPT becomes the thing people use when Siri can't answer. The backup plan. My takeaway for entrepreneurs watching this: Distribution beats innovation. Google didn't necessarily build a better chatbot. They built better infrastructure and negotiated better terms. OpenAI won the hype race. Google won the business war. What do you think can save OpenAI now?
1:19

Google just STOLE Apple away from OpenAI... And it might decide who wins the AI race. Apple announced a multi-year $1 billion deal with Google to power the next generation of Siri using Gemini AI. Not ChatGPT. Gemini. This is the same Apple that 18 months ago announced a partnership with OpenAI to integrate ChatGPT into iPhones. Everyone thought that meant OpenAI won. Turns out it was an audition. And OpenAI failed. Here's why: June 2024: Apple announces OpenAI partnership. Sam Altman tweets: "very happy to be partnering with apple." Media declares OpenAI the winner of the AI race. December 2025: Sam Altman issues "code red" at OpenAI. Tells everyone to pause everything and ship ChatGPT 5.2 faster. Why the panic? Google released Gemini 3 and it was actually good. January 2026: Apple picks Google. ChatGPT stays as an "optional feature" for complicated queries. But Gemini becomes the DEFAULT intelligence layer for 2 billion Apple devices. The financial reality: Apple pays OpenAI $0 But Apple pays Google $1 BILLION per year That's a verdict. The excuse OpenAI gave for why they did it for free was "exposure to millions of iPhone users." Which basically means "we couldn't negotiate worth shit." Meanwhile Google walked away with both the money AND the distribution. Why Google won: Infrastructure ownership. OpenAI runs on Microsoft's Azure cloud. That creates a dependency chain: Apple → OpenAI → Microsoft. 3 companies. 3 points of failure. Google owns its entire stack. One relationship. Zero middlemen. Apple's statement said Google's technology provides "the most capable foundation." Not "most innovative." Not "best partner." Most CAPABLE. In other words, OpenAI's tech couldn't handle the scale. The Alphabet boost: Google's stock hit $4 trillion market cap after the announcement. Up 65% in 2024 on AI momentum alone. This deal validates Google's pivot from "search company" to "AI infrastructure company." Now they power Samsung's Galaxy AI AND Apple's Siri. Billions of mobile devices running on Gemini. OpenAI's big problem here: Still no profit. Ever. Anthropic is stealing enterprise customers. DeepSeek launched a price war forcing ChatGPT to cut prices. GPT-5 was overhyped and underwhelming. Circular financing deals are getting scrutinized. And now Apple just downgraded them from partner to backup option. That "code red" in December? Too little, too late. The reality everyone's missing: This isn't about chatbot quality. It's about who owns the infrastructure to power billions of devices. Google proved it with Samsung. Now Apple. OpenAI proved it can build a viral product but can't scale it profitably. Very different skill sets. Elon called it "unreasonable concentration of power for Google." He's right. But that's exactly why Apple chose them. Apple doesn't want a startup partner. They want a utility provider. Google is now the default AI for Android AND iOS. OpenAI is relegated to opt-in queries for people who specifically request ChatGPT. That's the difference between infrastructure and feature. The next 12 months: Apple launches Gemini-powered Siri in spring 2026. If it works, every iPhone user defaults to Google's AI. ChatGPT becomes the thing people use when Siri can't answer. The backup plan. My takeaway for entrepreneurs watching this: Distribution beats innovation. Google didn't necessarily build a better chatbot. They built better infrastructure and negotiated better terms. OpenAI won the hype race. Google won the business war. What do you think can save OpenAI now?

Ricardo

50,720 views • 7 months ago

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).
0:29

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail. This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS. This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub. The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency. I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked. I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me. Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle. There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried: - Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain. - WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough. - Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience. - Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience. Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).

Andrew Hart

2,799,978 views • 1 year ago

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.
14:14

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

Santiago

142,696 views • 1 year ago

What is Apple doing in the AI race? Ever since ChatGPT came out in 2022, every tech company realized that generative AI is the next big thing. So, all these companies dropped everything else and started focusing on it first. Google launches Bard and does a bunch of stuff. Microsoft teams up with OpenAI and rolls out a pilot. Adobe launches Firefly. Elon Musk starts his new company, XI. Meta launches the Llama model. Tons of other AI startups pop up, and investors are throwing money at AI like crazy Apple's AI strategy is fascinating because it's playing a completely different game than Google, Microsoft, and OpenAI. While everyone else rushed to build the most powerful language models, Apple took a fundamentally different approach that aligns with their core business model and strengths Apple Intelligence is comprised of multiple highly capable generative models that are specialized for users' everyday tasks, but unlike competitors, Apple isn't trying to win the raw AI power race. Instead, they're leveraging what they've always done best, creating seamless, integrated experiences The key insight you mentioned about revenue models is crucial. While Microsoft makes 48% from cloud services and Google relies heavily on cloud and subscriptions, Apple's business is 80% hardware driven. This means they don't need to compete on cloud AI services they can focus on making AI work better on the devices people already own Apple's four step strategy you outlined is spot on, The "Invisible Model" approach is brilliant because most users don't want to think about which AI model to use. Tim Cook doubled down on Apple's AI strategy, insisting that generative AI was never off the table and was always about pursuing it in a thoughtful kind of way, they're making AI feel natural rather than technical Ecosystem Integration remains Apple's superpower. At WWDC 2025, Apple announced what it calls the Foundation Models framework, which will let developers tap into its AI models while offline, this is huge because it means third party apps can now leverage Apple's AI without internet dependency, something Google and Microsoft can't easily replicate across their fragmented hardware ecosystem The Distribution Advantage is where Apple really shines. They have direct control over 2 billion devices with powerful Apple Silicon chips that can run AI models locally. Apple is still pushing App Intents, the same system that makes it simpler for Apple Intelligence and Siri to use apps and get things done, which will enable those complex multi app workflows you described Building Trust through privacy focused messaging is classic Apple. They're positioning themselves as the "safe" AI option while competitors deal with data privacy concerns The real genius is that Apple doesn't need to build the world's best AI model, they just need to build the best AI experience. By partnering with OpenAI for complex tasks while handling simple ones locally, they're creating a hybrid approach that prioritizes user experience over technical bragging rights The upcoming Apple Intelligence features slated for 2025 demonstrate Apple's commitment to integrating advanced AI technologies into its devices, enhancing user experience, and promoting productivity, suggesting they're still in the early phases of a longer term strategy This approach could indeed "wipe out" Android and Windows in the AI era not by building better models, but by making AI feel like a natural extension of the devices people already love. It's classic Apple, arrive late, but redefine the entire category
1:04

What is Apple doing in the AI race? Ever since ChatGPT came out in 2022, every tech company realized that generative AI is the next big thing. So, all these companies dropped everything else and started focusing on it first. Google launches Bard and does a bunch of stuff. Microsoft teams up with OpenAI and rolls out a pilot. Adobe launches Firefly. Elon Musk starts his new company, XI. Meta launches the Llama model. Tons of other AI startups pop up, and investors are throwing money at AI like crazy Apple's AI strategy is fascinating because it's playing a completely different game than Google, Microsoft, and OpenAI. While everyone else rushed to build the most powerful language models, Apple took a fundamentally different approach that aligns with their core business model and strengths Apple Intelligence is comprised of multiple highly capable generative models that are specialized for users' everyday tasks, but unlike competitors, Apple isn't trying to win the raw AI power race. Instead, they're leveraging what they've always done best, creating seamless, integrated experiences The key insight you mentioned about revenue models is crucial. While Microsoft makes 48% from cloud services and Google relies heavily on cloud and subscriptions, Apple's business is 80% hardware driven. This means they don't need to compete on cloud AI services they can focus on making AI work better on the devices people already own Apple's four step strategy you outlined is spot on, The "Invisible Model" approach is brilliant because most users don't want to think about which AI model to use. Tim Cook doubled down on Apple's AI strategy, insisting that generative AI was never off the table and was always about pursuing it in a thoughtful kind of way, they're making AI feel natural rather than technical Ecosystem Integration remains Apple's superpower. At WWDC 2025, Apple announced what it calls the Foundation Models framework, which will let developers tap into its AI models while offline, this is huge because it means third party apps can now leverage Apple's AI without internet dependency, something Google and Microsoft can't easily replicate across their fragmented hardware ecosystem The Distribution Advantage is where Apple really shines. They have direct control over 2 billion devices with powerful Apple Silicon chips that can run AI models locally. Apple is still pushing App Intents, the same system that makes it simpler for Apple Intelligence and Siri to use apps and get things done, which will enable those complex multi app workflows you described Building Trust through privacy focused messaging is classic Apple. They're positioning themselves as the "safe" AI option while competitors deal with data privacy concerns The real genius is that Apple doesn't need to build the world's best AI model, they just need to build the best AI experience. By partnering with OpenAI for complex tasks while handling simple ones locally, they're creating a hybrid approach that prioritizes user experience over technical bragging rights The upcoming Apple Intelligence features slated for 2025 demonstrate Apple's commitment to integrating advanced AI technologies into its devices, enhancing user experience, and promoting productivity, suggesting they're still in the early phases of a longer term strategy This approach could indeed "wipe out" Android and Windows in the AI era not by building better models, but by making AI feel like a natural extension of the devices people already love. It's classic Apple, arrive late, but redefine the entire category

D4rsh🦅

13,266 views • 1 year ago

DON'T GET A PART-TIME JOB. RAID GOOGLE MAPS AND SELL THE SITE FOR $1000. 30 seconds of vibe coding that actually closes no website icon on maps = free qualified lead lovable turns reviews into a live storefront ▹ the exact loop from the clip open google maps · pick a niche + city scroll listings with reviews but no website logo copy all their reviews + business name + services drop into lovable with a master prompt paste reviews so social proof is already baked in lovable ships a full site in a couple of minutes publish preview url · then call / dm the owner close around $1,000 on the draft not on a pitch deck ▹ why the close works you're not selling ai · you're selling their storefront mobile-first · services · gallery from real reviews whatsapp / call cta above the fold they see their name live before they pay preview tonight · domain + polish after invoice outcome > hours · bookings > resume flex ▹ who pays dentist · medspa · barber · salon · hvac · plumber cafe · restaurant · yoga · lawyer · notary high ltv or booking-driven · skip dead coffee blogs ticket band $500–$1.5k fast local + $100/mo retainer lead machine $1k–$2.5k if you add n8n → telegram ▹ stack to level it up claude / opus 5 writes the master brief + sitemap lovable / bolt / v0 for first ship gpt image 2 hero · nano banana gallery fills cursor + claude code when auth / stripe lands supabase under · vercel preview urls for the dm beauty is a pipeline not a beauty contest ▹ the flip most chase 100x apps and saas wrappers this is maps arbitrage + ai site factory zero code ship · vibe coding · local outbound 20 dms with a live link beats another landing page bookmark · steal the loop · go raid maps tonight
0:29

DON'T GET A PART-TIME JOB. RAID GOOGLE MAPS AND SELL THE SITE FOR $1000. 30 seconds of vibe coding that actually closes no website icon on maps = free qualified lead lovable turns reviews into a live storefront ▹ the exact loop from the clip open google maps · pick a niche + city scroll listings with reviews but no website logo copy all their reviews + business name + services drop into lovable with a master prompt paste reviews so social proof is already baked in lovable ships a full site in a couple of minutes publish preview url · then call / dm the owner close around $1,000 on the draft not on a pitch deck ▹ why the close works you're not selling ai · you're selling their storefront mobile-first · services · gallery from real reviews whatsapp / call cta above the fold they see their name live before they pay preview tonight · domain + polish after invoice outcome > hours · bookings > resume flex ▹ who pays dentist · medspa · barber · salon · hvac · plumber cafe · restaurant · yoga · lawyer · notary high ltv or booking-driven · skip dead coffee blogs ticket band $500–$1.5k fast local + $100/mo retainer lead machine $1k–$2.5k if you add n8n → telegram ▹ stack to level it up claude / opus 5 writes the master brief + sitemap lovable / bolt / v0 for first ship gpt image 2 hero · nano banana gallery fills cursor + claude code when auth / stripe lands supabase under · vercel preview urls for the dm beauty is a pipeline not a beauty contest ▹ the flip most chase 100x apps and saas wrappers this is maps arbitrage + ai site factory zero code ship · vibe coding · local outbound 20 dms with a live link beats another landing page bookmark · steal the loop · go raid maps tonight

Ridark

20,459 views • 12 days ago

🚨 PRESIDENT TRUMP just DROPPED this message on outgoing Apple CEO Tim Cook: "When I got the call I said, wow, it’s Tim Apple (Cook!) calling, how big is that? I was very impressed with myself to have the head of Apple calling to 'kiss my ass.'" "That was the beginning of a long and very nice relationship. During my five years as President, Tim would call me, but never too much, and I would help him where I could." "Years latter, after 3 or 4 BIG HELPS, I started to say to people, anyone who would listen, that this guy is an amazing manager and leader. He makes these calls to me, I help him out (but not always, because he will, on occasion, be too aggressive in his ask!), and he gets the job done, QUICKLY, without a dime being given to those very expensive (millions of dollars!) consultants around town who sometimes get it done, and sometimes don’t." "Anyway, Tim Cook had an AMAZING career, almost incomparable, and will go on and continue to do great work for Apple, and whatever else he chooses to work on. Quite simply, Tim Cook is an incredible guy!!! President DONALD J. TRUMP"
0:48

🚨 PRESIDENT TRUMP just DROPPED this message on outgoing Apple CEO Tim Cook: "When I got the call I said, wow, it’s Tim Apple (Cook!) calling, how big is that? I was very impressed with myself to have the head of Apple calling to 'kiss my ass.'" "That was the beginning of a long and very nice relationship. During my five years as President, Tim would call me, but never too much, and I would help him where I could." "Years latter, after 3 or 4 BIG HELPS, I started to say to people, anyone who would listen, that this guy is an amazing manager and leader. He makes these calls to me, I help him out (but not always, because he will, on occasion, be too aggressive in his ask!), and he gets the job done, QUICKLY, without a dime being given to those very expensive (millions of dollars!) consultants around town who sometimes get it done, and sometimes don’t." "Anyway, Tim Cook had an AMAZING career, almost incomparable, and will go on and continue to do great work for Apple, and whatever else he chooses to work on. Quite simply, Tim Cook is an incredible guy!!! President DONALD J. TRUMP"

Eric Daugherty

1,420,704 views • 3 months ago

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
1:48

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

35,726 views • 1 month ago

People are undoubtedly a little alarmed at having unwittingly helped build a 3D map of the world for Niantic by contributing 30 billion crowdsourced images. I interviewed Niantic's CTO Brian McClendon about exactly this in a TED interview last year -- he's also the guy who co-created Google Earth. But let's put it in perspective. Pokestop data isn't what you think it is. It's not a surveillance panopticon of your neighborhood. These are static captures of parks, statues, murals, landmarks -- the places people congregate. Brian described it as "building the map from the bottom up, from the locations where people spend time." Think of these 20 million waypoints as basically the inverse of what Google mapped with Street View. Google mapped the drivable streets. Niantic mapped where people actually hang out. Cool data, genuinely useful for visual positioning -- but very different from what the headlines imply. And lest we forget that Niantic is just one of many companies quietly building their own map of the world right now -- and they're all capturing different facets of reality: >🚶 person-level: Axon body cams on hundreds of thousands of officers. Meta Ray-Ban glasses capturing first-person POV at scale -- overseas operators reviewing images every time someone says "Hey Meta." > 🚗 vehicle-level: Tesla dashcams on every car in the fleet, massive onboard compute extracting and distilling data to the cloud. Waymo with cm-accurate 3D maps of every city they operate in. Fleet telematics cameras on delivery vehicles globally. > 🏠 street & home-level: Flock Safety deploying CCTV across neighborhoods and cities. Amazon with Ring cameras on every doorstep and mailroom (recently got dragged over that Super Bowl commercial about fusing all these cams together to find your dog) plus dashcams on every Prime delivery van. Roomba mapping your floor plan every time it vacuums -- Amazon wanted that data badly enough to try acquiring iRobot for $1.7B before regulators shut it down. > 🥽 headset-level: Apple Vision Pro and Meta Quest build a 3D model of whatever room you're in every time you put them on. Between Ring, Roomba, and your headset, your entire home is being spatially understood by at least three different companies. >📍platform-level: Google with Street View cars, aerial planes, satellite imagery, and live location from every Android phone in your pocket. Apple doing the same with mapping cars AND every LiDAR iPhone is quietly a 3D scanner. And yeah, despite the "Apple is too privacy-conscious" narrative, they're collecting location data too. >🏃 trajectory-level: Strava mapped every running and cycling trail on Earth -- and accidentally exposed secret military bases in Afghanistan and Syria because soldiers logged their jogs. When you aggregate enough individual trajectories, patterns emerge that were never supposed to be visible. > 🛰️ space-level: Planet Labs imaging the entire Earth's landmass every single day from orbit. Vantor capturing it in higher detail. Iceye doing it in 3D using SAR. If something changes anywhere on the planet -- a building goes up, a forest burns down, a military convoy moves -- before-and-after imagery within 24 hours. Fused together -- we have everything from body cam to dashcam to doorbell to phone to satellite -- every layer of physical reality is being mapped by somebody right now. Different sensors, different angles, different purposes. Same pattern. The interesting part is how they incentivize it. Google spends billions. Mapillary tried altruism. Hivemapper grinds with crypto. Pokémon GO cracked something none of them could: a game mechanic that subsidizes the scanning behavior. You're not building a map. You're catching pokemon. The map is just a side effect. 3D scanning is still a niche hobby for reality capture nerds like me. The moment somebody gamifies dense 3D capture at scale -- not posed photos but actual geometry -- that's when this blows wide open. Niantic sold the games for $3.5B but kept the spatial platform, with a data-sharing agreement in place. One team makes the game great, the other builds the spatial infrastructure underneath. Incentives finally aligned. Gaming is becoming a way for humans to contribute real-world trajectories that help physical AI learn about the real world. Google does it with live traffic. Tesla does it with autopilot. The mechanic is different but the pattern is identical -- and most people are already part of at least one -- if not a majority -- of these datasets whether they realize it or not.
0:37

People are undoubtedly a little alarmed at having unwittingly helped build a 3D map of the world for Niantic by contributing 30 billion crowdsourced images. I interviewed Niantic's CTO Brian McClendon about exactly this in a TED interview last year -- he's also the guy who co-created Google Earth. But let's put it in perspective. Pokestop data isn't what you think it is. It's not a surveillance panopticon of your neighborhood. These are static captures of parks, statues, murals, landmarks -- the places people congregate. Brian described it as "building the map from the bottom up, from the locations where people spend time." Think of these 20 million waypoints as basically the inverse of what Google mapped with Street View. Google mapped the drivable streets. Niantic mapped where people actually hang out. Cool data, genuinely useful for visual positioning -- but very different from what the headlines imply. And lest we forget that Niantic is just one of many companies quietly building their own map of the world right now -- and they're all capturing different facets of reality: >🚶 person-level: Axon body cams on hundreds of thousands of officers. Meta Ray-Ban glasses capturing first-person POV at scale -- overseas operators reviewing images every time someone says "Hey Meta." > 🚗 vehicle-level: Tesla dashcams on every car in the fleet, massive onboard compute extracting and distilling data to the cloud. Waymo with cm-accurate 3D maps of every city they operate in. Fleet telematics cameras on delivery vehicles globally. > 🏠 street & home-level: Flock Safety deploying CCTV across neighborhoods and cities. Amazon with Ring cameras on every doorstep and mailroom (recently got dragged over that Super Bowl commercial about fusing all these cams together to find your dog) plus dashcams on every Prime delivery van. Roomba mapping your floor plan every time it vacuums -- Amazon wanted that data badly enough to try acquiring iRobot for $1.7B before regulators shut it down. > 🥽 headset-level: Apple Vision Pro and Meta Quest build a 3D model of whatever room you're in every time you put them on. Between Ring, Roomba, and your headset, your entire home is being spatially understood by at least three different companies. >📍platform-level: Google with Street View cars, aerial planes, satellite imagery, and live location from every Android phone in your pocket. Apple doing the same with mapping cars AND every LiDAR iPhone is quietly a 3D scanner. And yeah, despite the "Apple is too privacy-conscious" narrative, they're collecting location data too. >🏃 trajectory-level: Strava mapped every running and cycling trail on Earth -- and accidentally exposed secret military bases in Afghanistan and Syria because soldiers logged their jogs. When you aggregate enough individual trajectories, patterns emerge that were never supposed to be visible. > 🛰️ space-level: Planet Labs imaging the entire Earth's landmass every single day from orbit. Vantor capturing it in higher detail. Iceye doing it in 3D using SAR. If something changes anywhere on the planet -- a building goes up, a forest burns down, a military convoy moves -- before-and-after imagery within 24 hours. Fused together -- we have everything from body cam to dashcam to doorbell to phone to satellite -- every layer of physical reality is being mapped by somebody right now. Different sensors, different angles, different purposes. Same pattern. The interesting part is how they incentivize it. Google spends billions. Mapillary tried altruism. Hivemapper grinds with crypto. Pokémon GO cracked something none of them could: a game mechanic that subsidizes the scanning behavior. You're not building a map. You're catching pokemon. The map is just a side effect. 3D scanning is still a niche hobby for reality capture nerds like me. The moment somebody gamifies dense 3D capture at scale -- not posed photos but actual geometry -- that's when this blows wide open. Niantic sold the games for $3.5B but kept the spatial platform, with a data-sharing agreement in place. One team makes the game great, the other builds the spatial infrastructure underneath. Incentives finally aligned. Gaming is becoming a way for humans to contribute real-world trajectories that help physical AI learn about the real world. Google does it with live traffic. Tesla does it with autopilot. The mechanic is different but the pattern is identical -- and most people are already part of at least one -- if not a majority -- of these datasets whether they realize it or not.

Bilawal Sidhu

203,795 views • 5 months ago

🔥𝗠𝗔𝗝𝗢𝗥 𝗨𝗣𝗗𝗔𝗧𝗘 𝗔𝗟𝗘𝗥𝗧🔥 𝗡𝗘𝗪 𝗔𝗣𝗣 𝗨𝗣𝗗𝗔𝗧𝗘: 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 - updated maps and navigation engine (we know own all the data, no more relying on third parties for maps = huge cost saving for the company and more control). - navigation settings in menu and during a trip - offline navigation mode - maps are highly detailed - update wallet section that opens ATLAS MARKET app (see below) - many bug fixes and improvements - please note: time estimates are very optimistic but they will improve in the future, right now traffic information is limited but working hard to improve it (including from manual and A.I. driven reports). - update to the latest version as soon as possible. ——————————— 𝗡𝗘𝗪 𝗔𝗣𝗣 𝗥𝗘𝗟𝗘𝗔𝗦𝗘𝗗: 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧 - uses same login and password as 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 - works as the 𝗪𝗔𝗟𝗟𝗘𝗧 app for 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜: manage MILE rewards, $NAVI balances and NFTs. (staking / unstaking / vesting will be available in near future). - features benefits and 𝗗𝗜𝗦𝗖𝗢𝗨𝗡𝗧𝗦 at big brand Automotive Partners such as 𝗢𝗠𝗩 and 𝗧𝗶𝗿𝗶𝗮𝗰 𝗔𝘂𝘁𝗼, payable with $NAVI tokens only -> which will go live on 𝟬𝟴.𝟬𝟴.𝟮𝟬𝟮𝟯 most probably. Will be signing up new partners constantly (discussions ongoing already). - 𝗚𝗿𝗼𝘂𝗽 𝗣𝘂𝗿𝗰𝗵𝗮𝘀𝗲 𝗣𝗼𝘄𝗲𝗿: together, we are the largest fleet of drivers / vehicles in certain countries. This allows us to negotiate discounts and bonuses for all of us. Stay tuned for more partners joining. - 𝗥𝗘𝗔𝗟 𝗪𝗢𝗥𝗟𝗗 𝗨𝗧𝗜𝗟𝗜𝗧𝗬 for the $NAVI token as a payment method for 555 fuel / gas locations. - 𝗛𝗨𝗚𝗘 𝗜𝗡𝗖𝗘𝗡𝗧𝗜𝗩𝗘𝗦 for drivers to use $NAVI to get significant discounts for fuel, vehicle maintenance services, tires and more to come (it's not just a payment method). - Clean and simple interface, independent from 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜: drivers who don't want to use 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 can just use 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧 and drive demand on the $NAVI token directly from it. - COMING SOON (probably 08.08.2023): Fiat - on - Ramp: Anyone can buy NAVI tokens with credit / debit card or through SEPA transfers, without a need for a WEB3 wallet. All buy demand is going on the exchanges and soon on a DEX too. Making it easy for anyone without WEB3 knowledge to benefit from our partnerships. Download 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧: iPhone: Android: Feedback is welcome for both apps. 𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨 𝗡𝗔𝗩𝗜𝗴𝗮𝘁𝗼𝗿𝘀 for all the patience, we really appreciate it, we know it's been a long road. PLEASE RATE the apps 5* on the stores , it really helps spread the word! Thank you, 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 Team
0:35

🔥𝗠𝗔𝗝𝗢𝗥 𝗨𝗣𝗗𝗔𝗧𝗘 𝗔𝗟𝗘𝗥𝗧🔥 𝗡𝗘𝗪 𝗔𝗣𝗣 𝗨𝗣𝗗𝗔𝗧𝗘: 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 - updated maps and navigation engine (we know own all the data, no more relying on third parties for maps = huge cost saving for the company and more control). - navigation settings in menu and during a trip - offline navigation mode - maps are highly detailed - update wallet section that opens ATLAS MARKET app (see below) - many bug fixes and improvements - please note: time estimates are very optimistic but they will improve in the future, right now traffic information is limited but working hard to improve it (including from manual and A.I. driven reports). - update to the latest version as soon as possible. ——————————— 𝗡𝗘𝗪 𝗔𝗣𝗣 𝗥𝗘𝗟𝗘𝗔𝗦𝗘𝗗: 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧 - uses same login and password as 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 - works as the 𝗪𝗔𝗟𝗟𝗘𝗧 app for 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜: manage MILE rewards, $NAVI balances and NFTs. (staking / unstaking / vesting will be available in near future). - features benefits and 𝗗𝗜𝗦𝗖𝗢𝗨𝗡𝗧𝗦 at big brand Automotive Partners such as 𝗢𝗠𝗩 and 𝗧𝗶𝗿𝗶𝗮𝗰 𝗔𝘂𝘁𝗼, payable with $NAVI tokens only -> which will go live on 𝟬𝟴.𝟬𝟴.𝟮𝟬𝟮𝟯 most probably. Will be signing up new partners constantly (discussions ongoing already). - 𝗚𝗿𝗼𝘂𝗽 𝗣𝘂𝗿𝗰𝗵𝗮𝘀𝗲 𝗣𝗼𝘄𝗲𝗿: together, we are the largest fleet of drivers / vehicles in certain countries. This allows us to negotiate discounts and bonuses for all of us. Stay tuned for more partners joining. - 𝗥𝗘𝗔𝗟 𝗪𝗢𝗥𝗟𝗗 𝗨𝗧𝗜𝗟𝗜𝗧𝗬 for the $NAVI token as a payment method for 555 fuel / gas locations. - 𝗛𝗨𝗚𝗘 𝗜𝗡𝗖𝗘𝗡𝗧𝗜𝗩𝗘𝗦 for drivers to use $NAVI to get significant discounts for fuel, vehicle maintenance services, tires and more to come (it's not just a payment method). - Clean and simple interface, independent from 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜: drivers who don't want to use 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 can just use 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧 and drive demand on the $NAVI token directly from it. - COMING SOON (probably 08.08.2023): Fiat - on - Ramp: Anyone can buy NAVI tokens with credit / debit card or through SEPA transfers, without a need for a WEB3 wallet. All buy demand is going on the exchanges and soon on a DEX too. Making it easy for anyone without WEB3 knowledge to benefit from our partnerships. Download 𝗔𝗧𝗟𝗔𝗦 𝗠𝗔𝗥𝗞𝗘𝗧: iPhone: Android: Feedback is welcome for both apps. 𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨 𝗡𝗔𝗩𝗜𝗴𝗮𝘁𝗼𝗿𝘀 for all the patience, we really appreciate it, we know it's been a long road. PLEASE RATE the apps 5* on the stores , it really helps spread the word! Thank you, 𝗔𝗧𝗟𝗔𝗦 𝗡𝗔𝗩𝗜 Team

ATLAS NAVI | AI Navigation APP with 1M Downloads

29,718 views • 3 years ago

HOW TO TRACK PEOPLE WITH THEIR IMAGES Many photos taken with modern smartphones contain hidden information called GPS metadata. This data is stored in the image file using a format known as EXIF (Exchangeable Image File Format). Along with camera settings like time, date, and device model, EXIF data can also include the exact GPS coordinates of where the picture was taken. When someone takes a photo with location services enabled, the phone uses the Global Positioning System to record the latitude and longitude. These coordinates are automatically embedded into the image file’s metadata. If the image is shared without removing this metadata, anyone with basic tools or online metadata viewers can extract the GPS coordinates from the file. By entering those coordinates into a map service such as Google Maps, they can see the exact location where the photo was taken. Because of this, an image can unintentionally reveal where a person lives, works, or frequently visits. For privacy and safety, many people remove metadata or disable location tagging before sharing photos online.
1:21

HOW TO TRACK PEOPLE WITH THEIR IMAGES Many photos taken with modern smartphones contain hidden information called GPS metadata. This data is stored in the image file using a format known as EXIF (Exchangeable Image File Format). Along with camera settings like time, date, and device model, EXIF data can also include the exact GPS coordinates of where the picture was taken. When someone takes a photo with location services enabled, the phone uses the Global Positioning System to record the latitude and longitude. These coordinates are automatically embedded into the image file’s metadata. If the image is shared without removing this metadata, anyone with basic tools or online metadata viewers can extract the GPS coordinates from the file. By entering those coordinates into a map service such as Google Maps, they can see the exact location where the photo was taken. Because of this, an image can unintentionally reveal where a person lives, works, or frequently visits. For privacy and safety, many people remove metadata or disable location tagging before sharing photos online.

H4RUK1 KIRA🇯🇵

200,938 views • 5 months ago