The cruise line has taken a stand on the popular, but sometimes controversial practice.

Carnival Cruise Line makes a bold ruling on cruise ship ducks - TheStreet

The mom and nurse practitioner said she went into &quot;a full-blown panic&quot; and she and her four kids were all in tears.

Family’s $15K Carnival Cruise vacation canceled just 2 days prior, without their knowledge after sharing booking number on Facebook

The Metropolitan Police has launched a murder probe in south London after the death of the 26-year-old died of stab wounds.Separate stabbing incidents » · Conservative leadership hopeful Boris Johnson has defended his infamous description of black people in Africa bearing “watermelon smiles” ...

Passenger reports Hepatitis A infection after cruise on ship blighted by 
sickness

The U.S. Coast Guard recovered the body of a man who fell overboard from a Royal Caribbean’s Icon of the Sea cruise ship on Sunday, officials said.

Man found dead after falling overboard from world’s largest cruise ship off Florida coast

Cruise operators Royal Caribbean , Carnival and Norwegian Cruise Line Holdings are discounting summer itineraries as they look to fill empty cabins aboard older ships, according to travel agencies and company websites.

Cruise operators offer summer discounts as ships crowd the Caribbean, Alaska | Reuters

Cruise

cruise

Why is Tesla's coming Robotaxi such a big deal? Uber was partially invented right in front of me in a Paris snowstorm by Garrett Camp and Travis Kalanick. That set me on a path of understanding Transportation as a Service, which really is what Uber is. You order a ride on a computer, usually your phone, and one arrives. If I want to take one to San Francisco Airport it usually costs around $70 for an hour drive from my home in San Jose. Uber grew from that Paris snowstorm to being in many countries within three years. Uber is, so far, human driven. Humans have some advantages, they come with their own cars, so Uber didn't need to take on any inventory risk. But they come with many disadvantages too. Some talk too much. Some smell. Even of weed. Some arrive inebriated. Some abuse their riders, or worse. Yes, most of the time a great human shows up with a new model car that's well maintained and clean, but use Uber all around the world, like I have, and you'll hit these problems. Inconsistencies. And notice we haven't talked about how much the human costs, either in dollars (minimum wage is about $20 in California) or in safety costs (human tragedy in cars is pretty frequent, with around 40,000 deaths in USA every year alone). While a new Tesla costs about $3 to sit in your driveway every hour, add a human and the cost runs much more. Go back to Elon's first sales pitch (he gave it to me personally at the beginning) and he talked about beating legacy auto on price and experience. He's been planning Robotaxi since before the Model 3 shipped in 2017. How do I know that? Because only his cars have electric vents, something that still gets him derided. Mercedes engineers told me personally ts customers hated electric vents, and that they wanted knobs instead. But it is the electric vents that will give you a better experience, along with a number of other things, including a better audio system than the others have. But compared to the others it will have a better brand due to this focus on experience and consistency. What makes a great brand? Not, necessarily having the best product. Starbucks, for instance, doesn't, and I can find you better things to drink than Coke, but those two are great brands because they are consistent and ubiquitous. So, why does Tesla matter here? What about Waymo, Zoox, Cruise, or a handful of other potential Robotaxi competitors? What is its moat? Years ago I did consumer research, going around America asking people "are you willing to get into a vehicle that has no steering wheel?" Most answered "f**k no." I have studied several technological paradigm shifts and heard protests every time, but this was the most adamant of my career. I was talking about this with Peter Norvig, who used to play a key role at Google R&D and claims he is the guy who got the funding to start its autonomous vehicle project, about this. He told me Google already had the data to know that after three rides in a Waymo they will deeply trust autonomous vehicles to the point that they will want to use them for every ride. It is this key point "use them for every ride" that gets execs and investors interested in autonomous vehicles. I've heard this too from many San Francisco residents who love Waymo's service of being able to hop into an autonomous vehicle. But why does Tesla matter? Tesla's AI started out behind Waymo/Google's but has been learning faster. I believe that it is already better than Waymo at generalization (Waymo is only available in a few cities while my Tesla drove me 900 miles to Sun Valley from my home in San Jose). Yaman had an excellent show with Omar of Whole Mars Catalog that everyone should watch that compares Waymo and Tesla. Already Tesla's AI is smoother in many places. Back to the point. If you arrive in Las Vegas for a conference or on vacation which one do you choose to use? Tesla? Waymo? Zoox? Cruise? Uber? Lyft? Or some other brand or taxi? My prediction is that Tesla will win most of this business in 2030. Why? Experience. Being in a Tesla vehicle is safer in a crash than the vehicles that the other companies use.


Being in a Tesla will have a better experience, from the vents to the sound system.


Using a Tesla will be more consistent. Everyone knows what ordering a Cybertruck will do. Taxis and Uber always shows up with different vehicles so won't be as consistent. Starbucks shows that people will choose a consistent product over one that's better quality, but isn't as consistent. But it is the fleet size that really matters. When I interviewed Travis Kalanick, Uber's founder, in front of Stanford Business School, he told me that he had one big goal: to have a vehicle near you so that when you ordered one, it only took a few minutes to show up. If three vehicles were waiting nearby then the drivers weren't being used efficiently, pissing them off for not getting paid. If none are nearby then it takes too long for a vehicle to get to you. So who has the biggest fleet? Of autonomous vehicles? None of them other than Tesla is on my street and on my street there are 13 Teslas already. So many that I can walk to another Tesla in seconds. Faster than I could get one in San Francisco. It wouldn't even need to drive to me! The fleet size matters in many other ways, particularly experience. Why? Well, let's say there are a bunch of Teslas on the road in front of you. They can "see" all sorts of things, from fires, to protests, to police actions, and can report those to the control system that runs the network. So it could route around problems faster than any other network. That makes the experience better. If you can see that it has real-time info, you will learn to trust the one that has the real-time info on the screen more than one that doesn't have as much info. Which gets us to another thing. All us Tesla owners have its app running on our phones. That could feed a lot of new data into the network, like about how busy a nightclub or a restaurant is. Or details about a news event. Literally none of us have a Waymo app on our phones. Most humans haven't even heard of, or seen, a Waymo. Uber? Sure! But it comes with a human which brings the above problems and a higher price. Speaking of price. A Waymo has quite a few expensive LiDARs and more compute on board than Tesla does to handle both camera feeds and LiDAR feeds. Tesla has gone with a camera only approach, which is not only cheaper per vehicle, but looks a lot nicer too and can be hidden inside a standard-looking vehicle. Waymo's have gotten vandalized several times because they are the symbols of a new, dystopian, age, as one of my friends put it. Tesla's just are everywhere in many cities, especially anyone near San Francisco so won't attract the same kind of attention. So, my predictions: By 2030: Tesla robotaxi will be cheaper than other networks. Tesla will have a better screen and audio system for you to use. Movies, education, music, video conference calls, etc, will be better in a Tesla and more consistent. Tesla will be safer, and go more places. Tesla's route picker will be way better. Especially around massive events like concerts, sporting events, and more. Tesla's vents, seats, mirrors, audio level, are automatically set to personalize to you. Tesla's app and vehicles gives you more details, which leads to a better experience "there's a 14-minute line at the McDonalds." Let's put it bluntly: Tesla's customer acquisition cost will be nearly zero, while Waymo or Zoox will need to spend a lot more to create both awareness and behavior. I don't think they will be able to convince a Tesla user to switch to their platforms given the better experience and lower price I'm expecting Tesla to have. To wrap it up, for now, let's say you want to take your lover to a downtown for a date night. In an Uber there is a driver taking up one of the two best seats. In a Tesla? Nope. So date night is way better. On Thursday night we'll see just how much better. Why is Tesla's coming Robotaxi such a big deal? Uber was partially invented right in front of me in a Paris snowstorm by Garrett Camp and Travis Kalanick. That set me on a path of understanding Transportation as a Service, which really is what Uber is. You order a ride on a computer, usually your phone, and one arrives. If I want to take one to San Francisco Airport it usually costs around $70 for an hour drive from my home in San Jose. Uber grew from that Paris snowstorm to being in many countries within three years. Uber is, so far, human driven. Humans have some advantages, they come with their own cars, so Uber didn't need to take on any inventory risk. But they come with many disadvantages too. Some talk too much. Some smell. Even of weed. Some arrive inebriated. Some abuse their riders, or worse. Yes, most of the time a great human shows up with a new model car that's well maintained and clean, but use Uber all around the world, like I have, and you'll hit these problems. Inconsistencies. And notice we haven't talked about how much the human costs, either in dollars (minimum wage is about $20 in California) or in safety costs (human tragedy in cars is pretty frequent, with around 40,000 deaths in USA every year alone). While a new Tesla costs about $3 to sit in your driveway every hour, add a human and the cost runs much more. Go back to Elon's first sales pitch (he gave it to me personally at the beginning) and he talked about beating legacy auto on price and experience. He's been planning Robotaxi since before the Model 3 shipped in 2017. How do I know that? Because only his cars have electric vents, something that still gets him derided. Mercedes engineers told me personally ts customers hated electric vents, and that they wanted knobs instead. But it is the electric vents that will give you a better experience, along with a number of other things, including a better audio system than the others have. But compared to the others it will have a better brand due to this focus on experience and consistency. What makes a great brand? Not, necessarily having the best product. Starbucks, for instance, doesn't, and I can find you better things to drink than Coke, but those two are great brands because they are consistent and ubiquitous. So, why does Tesla matter here? What about Waymo, Zoox, Cruise, or a handful of other potential Robotaxi competitors? What is its moat? Years ago I did consumer research, going around America asking people "are you willing to get into a vehicle that has no steering wheel?" Most answered "f**k no." I have studied several technological paradigm shifts and heard protests every time, but this was the most adamant of my career. I was talking about this with Peter Norvig, who used to play a key role at Google R&D and claims he is the guy who got the funding to start its autonomous vehicle project, about this. He told me Google already had the data to know that after three rides in a Waymo they will deeply trust autonomous vehicles to the point that they will want to use them for every ride. It is this key point "use them for every ride" that gets execs and investors interested in autonomous vehicles. I've heard this too from many San Francisco residents who love Waymo's service of being able to hop into an autonomous vehicle. But why does Tesla matter? Tesla's AI started out behind Waymo/Google's but has been learning faster. I believe that it is already better than Waymo at generalization (Waymo is only available in a few cities while my Tesla drove me 900 miles to Sun Valley from my home in San Jose). Yaman had an excellent show with Omar of Whole Mars Catalog that everyone should watch that compares Waymo and Tesla. Already Tesla's AI is smoother in many places . smoother in many places Back to the point. If you arrive in Las Vegas for a conference or on vacation which one do you choose to use? Tesla? Waymo? Zoox? Cruise? Uber? Lyft? Or some other brand or taxi? My prediction is that Tesla will win most of this business in 2030. Why? Experience. Being in a Tesla vehicle is safer in a crash than the vehicles that the other companies use. Being in a Tesla will have a better experience, from the vents to the sound system. Using a Tesla will be more consistent. Everyone knows what ordering a Cybertruck will do. Taxis and Uber always shows up with different vehicles so won't be as consistent. Starbucks shows that people will choose a consistent product over one that's better quality, but isn't as consistent. Being in a Tesla vehicle is safer in a crash than the vehicles that the other companies use. Being in a Tesla vehicle is safer in a crash than the vehicles that the other companies use. Being in a Tesla will have a better experience, from the vents to the sound system. Being in a Tesla will have a better experience, from the vents to the sound system. Using a Tesla will be more consistent. Everyone knows what ordering a Cybertruck will do. Taxis and Uber always shows up with different vehicles so won't be as consistent. Starbucks shows that people will choose a consistent product over one that's better quality, but isn't as consistent. Using a Tesla will be more consistent. Everyone knows what ordering a Cybertruck will do. Taxis and Uber always shows up with different vehicles so won't be as consistent. Starbucks shows that people will choose a consistent product over one that's better quality, but isn't as consistent. But it is the fleet size that really matters. When I interviewed Travis Kalanick, Uber's founder, in front of Stanford Business School, he told me that he had one big goal: to have a vehicle near you so that when you ordered one, it only took a few minutes to show up. If three vehicles were waiting nearby then the drivers weren't being used efficiently, pissing them off for not getting paid. If none are nearby then it takes too long for a vehicle to get to you. So who has the biggest fleet? Of autonomous vehicles? None of them other than Tesla is on my street and on my street there are 13 Teslas already. So many that I can walk to another Tesla in seconds. Faster than I could get one in San Francisco. It wouldn't even need to drive to me! The fleet size matters in many other ways, particularly experience. Why? Well, let's say there are a bunch of Teslas on the road in front of you. They can "see" all sorts of things, from fires, to protests, to police actions, and can report those to the control system that runs the network. So it could route around problems faster than any other network. That makes the experience better. If you can see that it has real-time info, you will learn to trust the one that has the real-time info on the screen more than one that doesn't have as much info. Which gets us to another thing. All us Tesla owners have its app running on our phones. That could feed a lot of new data into the network, like about how busy a nightclub or a restaurant is. Or details about a news event. Literally none of us have a Waymo app on our phones. Most humans haven't even heard of, or seen, a Waymo. Uber? Sure! But it comes with a human which brings the above problems and a higher price. Speaking of price. A Waymo has quite a few expensive LiDARs and more compute on board than Tesla does to handle both camera feeds and LiDAR feeds. Tesla has gone with a camera only approach, which is not only cheaper per vehicle, but looks a lot nicer too and can be hidden inside a standard-looking vehicle. Waymo's have gotten vandalized several times because they are the symbols of a new, dystopian, age, as one of my friends put it. Tesla's just are everywhere in many cities, especially anyone near San Francisco so won't attract the same kind of attention. So, my predictions: By 2030: Tesla robotaxi will be cheaper than other networks. Tesla will have a better screen and audio system for you to use. Movies, education, music, video conference calls, etc, will be better in a Tesla and more consistent. Tesla will be safer, and go more places. Tesla's route picker will be way better. Especially around massive events like concerts, sporting events, and more. Tesla's vents, seats, mirrors, audio level, are automatically set to personalize to you. Tesla's app and vehicles gives you more details, which leads to a better experience "there's a 14-minute line at the McDonalds." Let's put it bluntly: Tesla's customer acquisition cost will be nearly zero, while Waymo or Zoox will need to spend a lot more to create both awareness and behavior. I don't think they will be able to convince a Tesla user to switch to their platforms given the better experience and lower price I'm expecting Tesla to have. To wrap it up, for now, let's say you want to take your lover to a downtown for a date night. In an Uber there is a driver taking up one of the two best seats. In a Tesla? Nope. So date night is way better. On Thursday night we'll see just how much better.

How Tesla's Positioned to Win the Robotaxi Market By 2030 Over Waymo, Zoox, Cruise, Uber, and Lyft

كيف يمكن لشركة Tesla الفوز بسوق سيارات الأجرة الآلية بحلول عام 2030 على حساب Waymo وZoox وCruise وUber وLyft

So positioniert sich Tesla, um bis 2030 den Robotaxi-Markt vor Waymo, Zoox, Cruise, Uber und Lyft zu erobern

Cómo se posiciona Tesla para ganar el mercado de robotaxi en 2030 frente a Waymo, Zoox, Cruise, Uber y Lyft

Como se posiciona Tesla para gañar o mercado de Robotaxi para 2030 sobre Waymo, Zoox, Cruise, Uber e Lyft

Bagaimana Tesla Diposisikan untuk Memenangkan Pasar Robotaxi pada Tahun 2030 Mengalahkan Waymo, Zoox, Cruise, Uber, dan Lyft

テスラは2030年までにウェイモ、ズークス、クルーズ、ウーバー、リフトを抑えてロボタクシー市場を制覇する立場にある

Тесла 2030-жылга чейин Роботакси рыногун Waymo, Zoox, Cruise, Uber жана Lyft аркылуу кантип утуп алды

Bagaimana Tesla Kedudukan untuk Memenangi Pasaran Robotaxi Menjelang 2030 Berbanding Waymo, Zoox, Cruise, Uber dan Lyft

Hoe Tesla zich positioneert om de markt voor robotaxi's in 2030 te veroveren ten koste van Waymo, Zoox, Cruise, Uber en Lyft

Ukuntu Tesla ihagaze kugirango itsinde isoko rya Robotaxi Muri 2030 hejuru ya Waymo, Zoox, Cruise, Uber, na Lyft

Paano Nakaposisyon ang Tesla na Manalo sa Robotaxi Market Pagsapit ng 2030 Sa Waymo, Zoox, Cruise, Uber, at Lyft

Tesla 2030 yilga kelib Robotaxi bozorini Waymo, Zoox, Cruise, Uber va Lyft orqali qanday qilib yutib oladi

We are approaching a point of no return regarding satellite evolution for cruise ships. Following Elon Musk’s announcement of the availability of their Starlink service for cruise ships, and the launch of hundreds of SpaceX satellites into lower earth orbit (LEO), the landscape has changed dramatically. SpaceX promises IP networks with exceptionally low latency and 350 Mbps download rates. Traditionally, a cruise line might spend hundreds of thousands to millions of dollars on satellites for slow at-sea internet connections. In fact, maritime communication firms renting bandwidth can essentially charge whatever they want. However, with a $10,000 one-time equipment investment and a $5,000 monthly fee for each of the two Starlink terminals, cruise ships can now drastically reduce their expenditures for a speedier service. The fact is, businesses now require additional bandwidth to enable remote work, Internet of Things (IoT) devices, and other applications. Furthermore, consumers prefer high-speed, low-latency connectivity and expect it in all areas. Even governments worldwide are stepping up their efforts to deliver low-latency satellite communication in addition to these developments, especially in underdeveloped regions. Although many Starlink customers also reside in cities and other areas with a good connection, the company's reported primary goal is to connect communities that currently lack internet access or have inadequate connectivity. While it’s clear that SpaceX will force other satellite providers to speed up their tech development, less is known about how it will affect an industry such as cruise lines. The State of the Different Satellite Players Previously, geostationary satellites (GSOs) above the Earth. Now, non-geostationary satellites (NGSOs) move across the sky during their orbit around the Earth at a much shorter distance, offering significant advantages for expanding broadband coverage. dominated the sky at 36,000 kilometers Up until now, "traditional" satellite communication service providers have concentrated on NGSO systems in-house that enhance their geostationary orbit (GEO) capabilities, while they contract out the building and deployment of the space portion. For instance, —they have agreements with producers of their spacecraft and mission payloads, including Blue Origin, and they are expected to contract out the production of ground equipment as well. Telesat wants to launch 188 LEO satellites in Earth's orbit are operated by Starlink, which is in the early stages of operations and already has several paying clients. Additionally, OneWeb's initial constellation deployment is almost done. More than 40% of all active satellites Elsewhere, with regard to their respective strategies for NGSO broadband, Telesat and Amazon's Project Kuiper are moving forward. In fact, contracts ever in April 2022 to deploy its satellites. Amazon signed the largest collection of launch Historically, satellite service providers have negotiated connectivity agreements with enterprise clients, such as cruise ships, on an individual basis, with access and airtime varied. These contracts frequently come with hefty extra expenses, including the cost of outfitting a fleet of ships or planes with the proper antennae. Although it is unknown exactly what these services would cost, new-generation NGSO operators are keen on serving commercial clients and may present competitive contracts such as the Starlink offer mentioned above. A Question of Coverage The big question for satellite operators is whether they can connect enough users to cover the costs of operating the system, growing and maintaining the ground component, and continuously refueling and updating the space part. Satellite operators, particularly those with NGSO constellations, will strive to offer global coverage to attract as many subscribers as possible. This is one of the big stalling points with Starlink. The service is currently only available in coastal waters of the USA (apart from Alaska), Europe (apart from most of Norway, Sweden, and Finland), Australia, Brazil, Chile, and New Zealand. According to SpaceX, they will gradually roll out the service to new regions in the fourth quarter of 2022. This is what when discussing SpaceX and other newer provider’s developments: Inmarsat has pointed out “When you look at some of our competitors, particularly the ones you call new entrants (SpaceX and OneWeb), they simply aren't well-positioned to meet the market needs—it's tough to provide that kind of coverage. The first-generation LEO constellation operators don’t have the wherewithal to deliver the security and resilience that customers need.” Cruise ship companies will keep a close eye on the coverage predicament. Because even with vastly superior download speeds, if coverage is an issue, then cruise lines may want to stick with potentially more reliable providers. Other Factors to Influence Cruise Line Decision-Making Since the aforementioned July satellite launch from SpaceX, many cruise ships have already switched to using Starlink. One company stated that by utilizing geostationary satellite internet (VSAT) in conjunction with Starlink, . latency was decreased by 95%, and expenditures were reduced by 70% This is a huge coup for a business like a cruise ship—with the unenviable task of keeping customers entertained for as many as two weeks, the entertainment and communication options from a low-latency network are endless. Cruise ships also have to consider their platform connectivity to enable uninterrupted coverage. They have historically used gyroscopic satellites, which must calibrate the signal every time they move, similar to how airplanes do. To exchange data, a ship must also be in a direct "line of sight" with a satellite, which isn't always the case. Cruise ships traveling through the Alaskan coastal regions, for instance, may face satellite signal loss due to the surrounding mountains' height. Starlink’s laser technology would stop the need for constant recalibration. According to a , “Laser links in orbit can reduce long-distance latency by as much as 50%, due to higher speed of light in vacuum & shorter path than undersea fiber.” tweet from Elon Musk The last consideration for cruise ships is the potential regulation of services, rates, and access to satellite connectivity. Although future developments are unpredictable, there is a chance that internet connection will be handled similarly to other utilities in terms of regulation. This suggests that cruise lines seeking to prosper in the NGSO internet market would gain from carefully observing actions taken by the executive and judicial branches of government. Without a doubt, the low-latency internet service provided by Starlink Maritime for cruise ships has the potential to revolutionize the industry. Customers on cruise ships will be able to engage in activities like buffer-free video streaming or phoning loved ones, which are only possible with fast download rates. To compete over the coming years, other providers must significantly boost their satellite LEO output or use similar technologies to Starlink Maritime. The only real point of contention remains the coverage for some cruise routes. If Starlink increases its capacity to provide connectivity for seas across the globe, while convincing governments to allow their expansion, it might spell a new wave of domination in the market of satellite providers for cruise ships and elsewhere.

How Will SpaceX Affect Satellite Tech Evolution and Network Adoption for Cruises?

Cruise liner Oasis of the Seas with a capacity of 2500 people The Blockchain Cruise 2019 was a conference held aboard the world's largest ship Oasis of the Seas. More than 1000 guests and 70 star speakers attended, and multi-million dollar contracts were signed. But a family event can’t just be about speeches and lectures! It was indeed an opportunity to communicate with blockchain celebrities in an informal setting, and that's exactly what specialists from BDCenter Digital agency did. What are future blockchain trends? We asked the industry players about what will make the crypto market grow in the near future. Lev Leiman, the co-founder of the Art of Blockchain project, believes these to be performances: "Right now, I see absolutely no creativity with the crypto industry media content. As soon as the media companies enter the market and come up with Cirque du Soleil crypto-style, it will be just awesome". Let us remind you that earlier at the Conference in 2017, Lev Lehmann refused to sell a cryptocurrency "Mona Lisa" painting autographed by Vitalik Buterin for $6 million. The masterpiece was created by the Art of Blockchain team. Paul Moukhin, CDBO at BDCenter Digital, and Lev Lehmann David Beck of RISE, a German FinTech Company, believes that tokens are the stocks of the future. They will also pay dividends. Brock Pierce, the famous Bitcoin millionaire, was playing a man of few words. He said that he only believed in things that would benefit everyone. Trader and consultant, Tone Vays, predicted that Bitcoin would rise and all the other cryptocurrencies would start falling. Meanwhile, people will finally understand the meaning of Liquid sidechain and will be running ICOs and STOs on Bitcoin, not on Ethereum. Tone Vays is in the pool (left) As it turned out, Tone Vays is not the only one who believes in the rapid growth of the world's first cryptocurrency. Here are the forecasts made by other participants of the Blockchain cruise: Dmitry Levkovets, strategist at BDCenter Digital, wearing a Bitcoin mask Unfortunately, the famous crypto enthusiast and anti-malware creator, John McAfee, being the proclaimed star of the conference, was unable to attend the event because the U.S. authorities have accused him of tax evasion and he is now forced to stay in Cuba. We hope that John's doing great, while still worrying about his weight: John McAfee’s current weight in the view of the Blockchain cruise guests Looks like Tone Vays believes that McAfee's weight isn't measured in kilograms, but in bitcoins. Well, anything is possible, but we would still want to hear the right answer from John himself!

About That Blockchain Cruise and McAfee's Weight 

Can Sheryl Sandberg Cruise Disney into the Future I recently heard a rumor I can’t seem to get out of my head. It’s probably because Walt Disney was the first studio Goliath, I had the luck to work with. Looking back I probably should have started with a smaller studio, but our paths met early on while building so sometimes you just have to bite the bullet. MovieLaLa Disney is a company I’ve learned to admire even before I started MovieLaLa. I was doubly excited to work with them so early in our MovieLaLa career. For the record, I had not yet officially launched MovieLaLa while working alongside them, but I was very clear about my vision and passion: we wanted to decrease marketing costs (the largest fixed cost of all studios) by bringing new mobile technologies that are personalized and social, with data and analytics to bring transparency to user behavior and engagement. Since working with Disney, I continue to keep an eye on them, their business and movements in the entertainment space. Even watching their acquisitions like Makers Studios and their massive debut of Star Wars. Which is probably why this particular rumor is hard to ignore. The rumor I’m starting to hear in Silicon Valley relates to the news about Thomas Staggs and the open candidacy for the CEO position with Bob Iger stepping down in 2018. What excites me about this rumor is that it can really change the whole landscape for Hollywood. And it could really bring ONE of the studios into the modern era and attempt to directly compete with digital media/tech companies in the media space like Netflix, Amazon, etc. The rumor is that Sheryl Sandberg is a contender to fill the shoes of Bob Iger. Bringing the COO of Facebook (who by the way, sits on the board of Disney) to the CEO position at Walt Disney makes a lot of sense. She’s a women (Disney is driven by moms and lifetime value of children), she’s probably looking to bump her title from COO to CEO title (which will not likely happen at Facebook), she’s technology driven (which Disney needs to stay competitive now and in the future), she can easily move to LA and still leverage all her Silicon Valley contacts to help Disney transition from traditional studio to technology-driven studio, and she probably already has a good grasp of the business since she’s been Director of the Board of Directors since 2010. When I first heard the news about Thomas Staggs leaving and the idea of Disney looking for an outsider to take over, I literally thought, “Oy. That sounds like a mess.” But, now that I’ve had a day to digest the thought of Sheryl Sandberg having the potential to be the CEO, makes a lot of sense. And it’s not a far fetched idea either. THAT And for companies like MovieLaLa, it means the world to us to have a forward thinking technology leader as the brand and influence of the entire studio, working to restructure and reorganize an institution that could really use more technologies to compete in today’s technology-driven world. You can read more blog posts by MovieLaLa . here is how hackers start their afternoons. We’re a part of the family. We are now and happy to opportunities. Hacker Noon @AMI accepting submissions discuss advertising &sponsorship To learn more, , , or simply, read our about page like/message us on Facebook tweet/DM @HackerNoon. If you enjoyed this story, we recommend reading our and . Until next time, don’t take the realities of the world for granted! latest tech stories trending tech stories

Can Sheryl Sandberg Cruise Disney into the Future

Hello JavaScript Enthusiasts!Welcome to the seventh edition of "This Week in JavaScript"! Today, we’ve got some game-changing updates: Claude can now write and execute JavaScript, JavaScript's GitHub crown falls to Python, new Node.js releases, the JS0/JSSugar debate, and more. Python Beats Javascript Python has defeated JavaScript to become the most popular language on GitHub for the first time in a decade! Why the shift? AI Projects on the Rise: Python’s popularity has soared thanks to machine learning and data science tools, like Jupyter notebooks.
JavaScript Holds Strong: JavaScript still dominates code pushes, and TypeScript's adoption is booming, strengthening the ecosystem.
No JavaScript Decline: It's more of an evolution, with developers leveraging the benefits of TypeScript for better code quality. Claude AI Now Runs JavaScript Exciting developments in AI tooling coming from Anthropic’s Claude AI! New Analysis Tool: Claude can now write and execute JavaScript in a sandboxed environment
Real-time Processing: Enables complex data analysis and processing capabilities Node.js Double Release: Stability Meets Speed Node.js just dropped two exciting versions! Let’s break them down: Node.js v22.11.0 (LTS - Jod) Long-Term Support: Stability and security assured until 2025, maintenance through 2027.
Production-Ready: Ideal for those managing stable, long-lived applications.
Focus on Reliability: Aimed at giving developers peace of mind for mission-critical environments. Node.js v23.1.0 (Current) JSON Modules Go Stable: Easy handling of structured data, with fewer headaches.
Import Attributes: More control over how modules load, making complex configurations simpler.
MockTimers API: Streamlines testing by simulating timers like setTimeout, making tests more efficient. The JavaScript Split: JS0 and JSSugar Remember the idea of splitting JavaScript into JS0 and JSSugar? Well, here’s the latest from this month’s TC39 meeting: Key updates: No Rollback: Existing features and proposals won’t be affected. Future enhancements, however, will be split accordingly.
Syntax and Capability Division: JSSugar will host new syntax features, while JS0 will focus on core API capabilities.
Tooling Standards: There’s even a proposal to form a team to standardize JavaScript tooling, setting guidelines for tools like Babel and webpack. The community is buzzing with opinions, and this debate is far from over! Tools & Releases You Should Know About Let’s speed-run through some of the other big tool updates this week! Faker 9.1: It lets you generate realistic test data effortlessly, from names and dates to financial data, across 60+ locales. It’s ideal for developers needing quick sample data, and the guided console demo makes onboarding simple.


Dependency Cruiser 16.5: It helps you visualize and manage your project’s dependencies seamlessly. It scans for rule violations and automatically generates dependency graphs, keeping your codebase organized and untangled.


Yantra: This JavaScript engine for .NET Standard is now fully written in C#. It compiles JavaScript to .NET Assembly with full ES5/ES6 feature support, including async/await. This engine makes mixing JavaScript with .NET smoother than ever.


Chakra UI v3 arrives with a complete performance overhaul and over 25 new components. With Panda CSS integration and semantic tokens, theme customization is now seamless, and dark mode has never been easier to manage. This redesign makes building beautiful, accessible interfaces more powerful and intuitive.
And that's it for the seventh issue of "This Week in JavaScript"! Thanks for tuning in!Feel free to share this newsletter with a fellow developer, and make sure you're subscribed to get notified about the next issue.Until next time, happy coding! References Python Overtakes Javascript JS0 and JSSugar Split: What You Need to Know Node.js Double Release: 1, 2 Faker 9.1 Dependency Cruiser 16.5 Yantra Chakra UI v3 Hello JavaScript Enthusiasts! Welcome to the seventh edition of " This Week in JavaScript "! This Week in JavaScript Today, we’ve got some game-changing updates: Claude can now write and execute JavaScript, JavaScript's GitHub crown falls to Python, new Node.js releases, the JS0/JSSugar debate, and more. Python Beats Javascript Python Beats Javascript Python has defeated JavaScript to become the most popular language on GitHub for the first time in a decade! Python JavaScript GitHub Why the shift? Why the shift? AI Projects on the Rise: Python’s popularity has soared thanks to machine learning and data science tools, like Jupyter notebooks. JavaScript Holds Strong: JavaScript still dominates code pushes, and TypeScript's adoption is booming, strengthening the ecosystem. No JavaScript Decline: It's more of an evolution, with developers leveraging the benefits of TypeScript for better code quality. AI Projects on the Rise: Python’s popularity has soared thanks to machine learning and data science tools, like Jupyter notebooks. AI Projects on the Rise: JavaScript Holds Strong: JavaScript still dominates code pushes, and TypeScript's adoption is booming, strengthening the ecosystem. JavaScript Holds Strong: No JavaScript Decline: It's more of an evolution, with developers leveraging the benefits of TypeScript for better code quality. No JavaScript Decline: Claude AI Now Runs JavaScript Claude AI Now Runs JavaScript Exciting developments in AI tooling coming from Anthropic’s Claude AI ! Anthropic’s Claude AI New Analysis Tool: Claude can now write and execute JavaScript in a sandboxed environment Real-time Processing: Enables complex data analysis and processing capabilities New Analysis Tool: Claude can now write and execute JavaScript in a sandboxed environment New Analysis Tool: Real-time Processing: Enables complex data analysis and processing capabilities Real-time Processing: Node.js Double Release: Stability Meets Speed Node.js Double Release: Stability Meets Speed Node.js just dropped two exciting versions! Let’s break them down: Node.js Node.js v22.11.0 (LTS - Jod) Node.js v22.11.0 (LTS - Jod) Long-Term Support: Stability and security assured until 2025, maintenance through 2027. Production-Ready: Ideal for those managing stable, long-lived applications. Focus on Reliability: Aimed at giving developers peace of mind for mission-critical environments. Long-Term Support: Stability and security assured until 2025, maintenance through 2027. Long-Term Support: Production-Ready: Ideal for those managing stable, long-lived applications. Production-Ready: Focus on Reliability: Aimed at giving developers peace of mind for mission-critical environments. Focus on Reliability: Node.js v23.1.0 (Current) Node.js v23.1.0 (Current) JSON Modules Go Stable: Easy handling of structured data, with fewer headaches. Import Attributes: More control over how modules load, making complex configurations simpler. MockTimers API: Streamlines testing by simulating timers like setTimeout, making tests more efficient. JSON Modules Go Stable: Easy handling of structured data, with fewer headaches. JSON Modules Go Stable: Import Attributes: More control over how modules load, making complex configurations simpler. Import Attributes: MockTimers API: Streamlines testing by simulating timers like setTimeout, making tests more efficient. MockTimers API: The JavaScript Split: JS0 and JSSugar The JavaScript Split: JS0 and JSSugar Remember the idea of splitting JavaScript into JS0 and JSSugar ? Well, here’s the latest from this month’s TC39 meeting: JavaScript JS0 JSSugar Key updates: Key updates: No Rollback: Existing features and proposals won’t be affected. Future enhancements, however, will be split accordingly. Syntax and Capability Division: JSSugar will host new syntax features, while JS0 will focus on core API capabilities. Tooling Standards: There’s even a proposal to form a team to standardize JavaScript tooling, setting guidelines for tools like Babel and webpack. No Rollback: Existing features and proposals won’t be affected. Future enhancements, however, will be split accordingly. No Rollback: Syntax and Capability Division: JSSugar will host new syntax features, while JS0 will focus on core API capabilities. Syntax and Capability Division: Tooling Standards: There’s even a proposal to form a team to standardize JavaScript tooling, setting guidelines for tools like Babel and webpack. Tooling Standards: The community is buzzing with opinions, and this debate is far from over! Tools & Releases You Should Know About Tools & Releases You Should Know About Let’s speed-run through some of the other big tool updates this week! Faker 9.1: It lets you generate realistic test data effortlessly, from names and dates to financial data, across 60+ locales. It’s ideal for developers needing quick sample data, and the guided console demo makes onboarding simple. Dependency Cruiser 16.5: It helps you visualize and manage your project’s dependencies seamlessly. It scans for rule violations and automatically generates dependency graphs, keeping your codebase organized and untangled. Yantra: This JavaScript engine for .NET Standard is now fully written in C#. It compiles JavaScript to .NET Assembly with full ES5/ES6 feature support, including async/await. This engine makes mixing JavaScript with .NET smoother than ever. Chakra UI v3 arrives with a complete performance overhaul and over 25 new components. With Panda CSS integration and semantic tokens, theme customization is now seamless, and dark mode has never been easier to manage. This redesign makes building beautiful, accessible interfaces more powerful and intuitive.
And that's it for the seventh issue of "This Week in JavaScript"! Thanks for tuning in!Feel free to share this newsletter with a fellow developer, and make sure you're subscribed to get notified about the next issue.Until next time, happy coding! Faker 9.1: It lets you generate realistic test data effortlessly, from names and dates to financial data, across 60+ locales. It’s ideal for developers needing quick sample data, and the guided console demo makes onboarding simple. Faker 9.1: It lets you generate realistic test data effortlessly, from names and dates to financial data, across 60+ locales. It’s ideal for developers needing quick sample data, and the guided console demo makes onboarding simple. Faker 9.1: Dependency Cruiser 16.5: It helps you visualize and manage your project’s dependencies seamlessly. It scans for rule violations and automatically generates dependency graphs, keeping your codebase organized and untangled. Dependency Cruiser 16.5: It helps you visualize and manage your project’s dependencies seamlessly. It scans for rule violations and automatically generates dependency graphs, keeping your codebase organized and untangled. Dependency Cruiser 16.5: Yantra: This JavaScript engine for .NET Standard is now fully written in C#. It compiles JavaScript to .NET Assembly with full ES5/ES6 feature support, including async/await. This engine makes mixing JavaScript with .NET smoother than ever. Yantra: This JavaScript engine for .NET Standard is now fully written in C#. It compiles JavaScript to .NET Assembly with full ES5/ES6 feature support, including async/await. This engine makes mixing JavaScript with .NET smoother than ever. Yantra: Chakra UI v3 arrives with a complete performance overhaul and over 25 new components. With Panda CSS integration and semantic tokens, theme customization is now seamless, and dark mode has never been easier to manage. This redesign makes building beautiful, accessible interfaces more powerful and intuitive. And that's it for the seventh issue of "This Week in JavaScript"! Thanks for tuning in! Feel free to share this newsletter with a fellow developer, and make sure you're subscribed to get notified about the next issue. Until next time, happy coding! Chakra UI v3 arrives with a complete performance overhaul and over 25 new components. With Panda CSS integration and semantic tokens, theme customization is now seamless, and dark mode has never been easier to manage. This redesign makes building beautiful, accessible interfaces more powerful and intuitive. Chakra UI v3 And that's it for the seventh issue of " This Week in JavaScript "! Thanks for tuning in! This Week in JavaScript Feel free to share this newsletter with a fellow developer, and make sure you're subscribed to get notified about the next issue. Until next time, happy coding! References Python Overtakes Javascript Python Overtakes Javascript JS0 and JSSugar Split: What You Need to Know JS0 and JSSugar Split: What You Need to Know Node.js Double Release: 1 , 2 1 2 Faker 9.1 Faker 9.1 Dependency Cruiser 16.5 Dependency Cruiser 16.5 Yantra Yantra Chakra UI v3 Chakra UI v3

Claude AI runs JavaScript, Python beats JavaScript on GitHub, & Node.js updates - This Week in JS

Online data is growing exponentially every day. Businesses must stay ahead of the curve and be competitive, which can be achieved by steering away from traditional. Information should be available to executives as early as possible to keep the edge. Ensuring the data is transmitted correctly and reliably every time can be tricky. It is also critical for businesses to have access to the data across all departments. It is essential to process the data as soon as it comes in to make it quicker to turn data into insights. Apache Kafka, along with Apache Kafka Streams or Apache Flink, is turning out to be the best bet for processing, storing, and making streaming data readily available across different business units. Apache Kafka at the Core A key element in today's data streaming infrastructure is Kafka Queues. It is an effective messaging system that follows a publish-and-subscribe approach and is well known for its dependability and ability to withstand faults gracefully. This system is expertly designed to handle message volumes, per second and supports applications that rely on real-time data streaming. Apache Kafka data queues are essential for tailoring to diverse industry requirements. Kafka supports different industry scenarios, especially real-time data streaming, and ensures data accessibility for business functions. In the case of real-time streaming data, each data event can be treated as a single segment, parsed to various topics, and stored on Kafka servers. e.g., for a grocery store chain, a user e-commerce transaction can be parsed into user details, grocery store location, amount of transaction, inventory sold, and all of this in a fraction of seconds of the event, enabling the business to run analytics on a live-stream of data and re-route the exhausting inventory to the appropriate store thereby making sure stores needing more stock has it than it is sitting idle on the shelf for other stores. Apache Kafka's role extends beyond real-time streaming data. It is a vital pillar in integrating data infrastructure between business units or company mergers/acquisitions. Instead of copying data multiple times, Kafka serves as a central hub where all business components can produce data (Producers), and the business units that need it can consume it (Consumers). Kafka as a central data store helps avoid the need for repetitive engineering work by different business units to consume the same data and if needed modify on the fly using Kafka Streams or Flink thereby simplifying the data integration process. With the introduction of KRAFT in Apache Kafka, eliminating the need for a quorum manager zookeeper cluster, the cost of operating Kafka queues is even less with the same performance. Reliability, Scalability, and Security The challenge extends beyond speed; reliability, scalability, and security are equally vital. Data transmission systems should be designed for speed but other aspects of the systems can not be underestimated. These systems are required to ensure reliable delivery of millions of messages. Furthermore, scalability is imperative to handle the increasing data volumes. Reliability: A system that is high-speed but not reliable is of no use. An effective system requires monitoring and automating recovery procedures while also planning to handle the increasing amount of data effectively. It is crucial for reliability to detect and address issues before they worsen through monitoring. A monitoring strategy covering all aspects from hardware to software, to business operations, is essential. Kafka is a memory-hogging system, and enough memory should be available, as without it, the system will default to an operating system swap, thereby degrading performance. On the software level, fault tolerance is essential, which can be achieved by ensuring a minimum replication factor of three (three copies of data in a cluster). Rack diversity ensures that all three copies of data are on different rack nodes in the Kafka Cluster, thereby reducing the risk of data loss in case of a rack failure. Auto rebalancing of data based on cluster performance can be achieved using Kafka Cruise Control based on various target thresholds e.g., network bandwidth and the number of messages in or out. In the business process, enough monitoring should be added to ensure producer and consumer instances are live and able to communicate with Kafka brokers. Multiple instances of producer and consumer applications need to be implemented to ensure high availability. Scalability: The Kafka clusters must be able to handle parallel processing for both reading and writing. If the cluster struggles to keep up with read requests, it needs more resources per server - Vertical Scaling. This means using higher CPU and RAM configuration servers to handle the increased workload. If the cluster is having difficulty handling write requests, the cluster needs additional servers - Horizontal Scaling. This involves adding more servers to the cluster to share the workload. Kafka is a distributed system, scaling vertically or horizontally is a transparent operation for applications as long as applications have implemented retry on certain errors. Security: In today's digital world, data security is a top priority. Data must be encrypted at rest and in transit using the TLS protocol in Kafka. Robust user access control can be established as a two-step process using the Authentication and Authorization approach to ensure secure access. For the first step, Kafka offers multiple authentication mechanisms such as mutual TLS (mTLS) and Simple Authentication and Security Layer (SASL) to ensure that only permitted applications can authenticate to the cluster. mTLS encryption makes sure that both the client and the server authenticate each other, while SASL provides a framework for adding authentication support to connection-based protocols. For the second step, Kafka offers authorization on a topic level with appropriate privileges, such as read or write access. Overall, the Apache Kafka Ecosystem provides robust data infrastructure for processing and securely storing live data while making it readily available for all business units without reinventing the wheel of data processing. Online data is growing exponentially every day. Businesses must stay ahead of the curve and be competitive, which can be achieved by steering away from traditional. Information should be available to executives as early as possible to keep the edge. Ensuring the data is transmitted correctly and reliably every time can be tricky. It is also critical for businesses to have access to the data across all departments. It is essential to process the data as soon as it comes in to make it quicker to turn data into insights. Apache Kafka, along with Apache Kafka Streams or Apache Flink, is turning out to be the best bet for processing, storing, and making streaming data readily available across different business units. Apache Kafka at the Core Apache Kafka at the Core A key element in today's data streaming infrastructure is Kafka Queues. It is an effective messaging system that follows a publish-and-subscribe approach and is well known for its dependability and ability to withstand faults gracefully. This system is expertly designed to handle message volumes, per second and supports applications that rely on real-time data streaming. Apache Kafka data queues are essential for tailoring to diverse industry requirements. Kafka supports different industry scenarios, especially real-time data streaming, and ensures data accessibility for business functions. In the case of real-time streaming data, each data event can be treated as a single segment, parsed to various topics, and stored on Kafka servers. e.g., for a grocery store chain, a user e-commerce transaction can be parsed into user details, grocery store location, amount of transaction, inventory sold, and all of this in a fraction of seconds of the event, enabling the business to run analytics on a live-stream of data and re-route the exhausting inventory to the appropriate store thereby making sure stores needing more stock has it than it is sitting idle on the shelf for other stores. Apache Kafka's role extends beyond real-time streaming data. It is a vital pillar in integrating data infrastructure between business units or company mergers/acquisitions. Instead of copying data multiple times, Kafka serves as a central hub where all business components can produce data (Producers), and the business units that need it can consume it (Consumers). Kafka as a central data store helps avoid the need for repetitive engineering work by different business units to consume the same data and if needed modify on the fly using Kafka Streams or Flink thereby simplifying the data integration process. With the introduction of KRAFT in Apache Kafka, eliminating the need for a quorum manager zookeeper cluster, the cost of operating Kafka queues is even less with the same performance. Reliability, Scalability, and Security Reliability, Scalability, and Security The challenge extends beyond speed; reliability, scalability, and security are equally vital. Data transmission systems should be designed for speed but other aspects of the systems can not be underestimated. These systems are required to ensure reliable delivery of millions of messages. Furthermore, scalability is imperative to handle the increasing data volumes. Reliability: Reliability: A system that is high-speed but not reliable is of no use. An effective system requires monitoring and automating recovery procedures while also planning to handle the increasing amount of data effectively. It is crucial for reliability to detect and address issues before they worsen through monitoring. A monitoring strategy covering all aspects from hardware to software, to business operations, is essential. Kafka is a memory-hogging system, and enough memory should be available, as without it, the system will default to an operating system swap, thereby degrading performance. On the software level, fault tolerance is essential, which can be achieved by ensuring a minimum replication factor of three (three copies of data in a cluster). Rack diversity ensures that all three copies of data are on different rack nodes in the Kafka Cluster, thereby reducing the risk of data loss in case of a rack failure. Auto rebalancing of data based on cluster performance can be achieved using Kafka Cruise Control based on various target thresholds e.g., network bandwidth and the number of messages in or out. In the business process, enough monitoring should be added to ensure producer and consumer instances are live and able to communicate with Kafka brokers. Multiple instances of producer and consumer applications need to be implemented to ensure high availability. Scalability: Scalability: The Kafka clusters must be able to handle parallel processing for both reading and writing. If the cluster struggles to keep up with read requests, it needs more resources per server - Vertical Scaling. This means using higher CPU and RAM configuration servers to handle the increased workload. If the cluster is having difficulty handling write requests, the cluster needs additional servers - Horizontal Scaling. This involves adding more servers to the cluster to share the workload. Kafka is a distributed system, scaling vertically or horizontally is a transparent operation for applications as long as applications have implemented retry on certain errors. Security: Security: In today's digital world, data security is a top priority. Data must be encrypted at rest and in transit using the TLS protocol in Kafka. Robust user access control can be established as a two-step process using the Authentication and Authorization approach to ensure secure access. For the first step, Kafka offers multiple authentication mechanisms such as mutual TLS (mTLS) and Simple Authentication and Security Layer (SASL) to ensure that only permitted applications can authenticate to the cluster. mTLS encryption makes sure that both the client and the server authenticate each other, while SASL provides a framework for adding authentication support to connection-based protocols. For the second step, Kafka offers authorization on a topic level with appropriate privileges, such as read or write access. Overall, the Apache Kafka Ecosystem provides robust data infrastructure for processing and securely storing live data while making it readily available for all business units without reinventing the wheel of data processing.

Mastering the Complexity of High-Volume Data Transmission in the Digital Age

Michael Saylor Wants To Turn MicroStrategy Into a Trillion-Dollar Bitcoin Bank

মাইকেল স্যালর মাইক্রোস্ট্র্যাটেজিকে ট্রিলিয়ন-ডলার বিটকয়েন ব্যাংকে পরিণত করতে চান

Michael Saylor will MicroStrategy in eine Billionen-Dollar-Bitcoin-Bank verwandeln

Michael Saylor quiere convertir a MicroStrategy en un banco de Bitcoin de un billón de dólares

Michael Saylor veut transformer MicroStrategy en une banque Bitcoin d'un milliard de dollars

माइकल सैलर माइक्रोस्ट्रेटजी को एक ट्रिलियन डॉलर के बिटकॉइन बैंक में बदलना चाहते हैं

マイケル・セイラーはマイクロストラテジーを1兆ドルのビットコイン銀行にしたいと考えている

Michael Saylor, MicroStrategy를 1조 달러 규모의 비트코인 은행으로 만들고 싶어

Michael Saylor quer transformar a MicroStrategy em um banco de Bitcoin de um trilhão de dólares

Майкл Сэйлор хочет превратить MicroStrategy в биткоин-банк стоимостью триллион долларов

Michael Saylor, MicroStrategy'yi Trilyon Dolarlık Bir Bitcoin Bankasına Dönüştürmek İstiyor

Michael Saylor muốn biến MicroStrategy thành một ngân hàng Bitcoin trị giá nghìn tỷ đô la

Michael Saylor 希望将 MicroStrategy 打造成一家价值万亿美元的比特币银行

Here's a new problem, and a new set of jobs for humans, that will be caused as more and more Robotaxis show up (think of an Uber that works without a human in the car). What is the problem? Transportation behavior will change as we get more and more vehicles on the road with no humans inside. Something that's already happening in San Francisco, where you see many autonomous vehicles driving around with no humans inside from companies like Waymo, Zoox, and others. Expected are many others, including Tesla, and GM's Cruise which we hear will be back on the road later this year. The problem? Football stadiums, concerts, basketball stadiums, conferences, events like the Olympics, all will see radically different usage patterns. For instance, today, if you attend a football game, you park in one of dozens of parking lots around the stadium and you walk in, or take a shuttle to one of the entrances. This adds some "randomness" to the flow of crowds in and out and lets city officials who plan out traffic flows bring traffic to those parking lots with a few different routes. Even today it's often a mess with traffic taking an hour to get into many venues with large numbers of people but officials, and others, who work in these industries tell me autonomous vehicles will make traffic far worse. Why? Well, let's assume in five years you are in a Cybertruck taking your family to a football game and that by then the Cybertruck can drive with no humans in the car. Will you want your Cybertruck to take you to a far off parking lot and make you walk to the stadium? No. You'll want it to drop you off near the football stadium. And here's the rub: so will everyone else. Which means you'll have thousands of Waymos, Cruises, Teslas, all trying to get to the same drop-off point. This new human expectation will lead to traffic nightmares. Worse, I've been talking with executives at these kinds of venues and they say the coordination between sports teams, city officials/police, and ride-sharing companies is nearly non-existent.One told me they tried to get Uber and Lyft to come meet with them to design new traffic flows for their vehicles and they just don't get very little help or interest from the ride-sharing companies. One, who works with the 49ers, tells me city officials often put up signs for Uber/Lyft drivers that lead them into dead-end roads where they need to waste time turning around and figuring out where they need to go. Signage, cones, road closures, all could be done in a much better way around venues. And that's before you consider the humans. Often crowds of humans getting out of venues are drunk, don't follow traffic rules, and, sometimes, even turn riotous. Has the autonomous vehicle industry worked with venues to understand how traffic systems change around event venues? No, is the answer I keep hearing, and getting Waymo or Tesla interested in studying the problem together and designing new traffic facilities around big-crowd venues is difficult. Oh, it can happen. At Coachella, for instance, Uber built a huge parking lot with waiting areas for humans that were covered (it's hot often waiting for your ride to show up). Uber also built contextual systems to work with drivers around the Western United States to convince drivers to come to Palm Springs for a month and drive people around (Coachella is two weekends, where 150,000 people visit each weekend, followed by a country music festival that has slightly smaller crowds, but Uber, alone, brings thousands of cars to handle the crowds of people who want to use it to get to and from the venue). Along with the parking lot city officials block off lanes and have clear signs for Uber/Lyft/Taxis to use and have police at every intersection directing traffic and making sure things flow smoothly. Even with all that work it often takes one to three hours of standing in line to get a Taxi or an Uber out of the venue. Now imagine if thousands of people were arriving in autonomous vehicles. If the vehicles weren't programmed into where to go, and if Tesla doesn't have its own drop off and pickup lot things could get nasty, and fast. Last week at NVIDIA's big event my Tesla was programmed to pick up a friend at the Marriott. Problem was it took me down a route that is usually just fine, but during that event NVIDIA and city officials had the street in front of the conference center closed due to the large crowds that were attending that event. My Tesla didn't know about the closed street so it tried to take me down that closed street, figured it out too late, and then got stuck in traffic going on a detour around, wasting 15 minutes. Now 15 minutes doesn't seem like a big deal, but it is if I was driving an Uber passenger. Why? Well, first of all now I have a passenger who isn't happy with the navigation choices the car made, maybe giving me a lower score than I otherwise would get, but, worse, if I was picking up a passenger that person might see that I'm now 15 minutes away instead of two and decide to hop in a cab or cancel my ride. Wasted time, which means if I'm driving an Uber I don't get paid. There also is a difference between permanent venues, like a football stadium, which have the same problems every weekend (while football isn't being played these stadiums are often used for other things, like concerts) and music festivals that only happen one or two weekends a year, like Coachella. There aren't enough vehicles to support these temporary crowds so vehicles have to be moved into that area. There are dozens of such festivals all over the world, and that's counting just the ones with 50,000 attendees or more, like EDC in Vegas, Glastonbury in UK, etc. So, a company, like a Tesla, which is expected to have humanless vehicles driving in most Western Countries, would need to work with dozens of venues to setup drop off and pick up zones, and with local police to understand how to work with them so that they understand how to work with autonomous vehicles. Once in a while one of those will get stuck, for instance, maybe with a blown tire or an equipment malfunction, or, worse, an accident. At SXSW a drunk driver plowed through crowds of people one year, killing many, and causing a major first-responder response. In such a situation all the constituencies would need to work together to change traffic flows to make sure more vehicles aren't drawn to the area, or interfere with first responders. Is there a relationship lead between all these constituencies? I hear there is not, except in the best of cases. So, this leads to a new job for humans. AI's can't attend city council or meetings with police. AI's can't often figure out why all traffic has stopped. Once, at Half Moon Bay's pumpkin festival it started to rain. Everyone headed for their cars at the same time, but both Waze and Apple Maps continued to give incorrect data for an hour, both on recommendations for what street to head down, and on time it will take to get out of the area. These systems are built for normal traffic flows, and often can't understand that police have even reversed traffic, so that cars are going down the wrong way on a road. Which leads to the AI. Uber's founder, Travis Kalanick, told me his goal is to have one car near someone who is calling for a ride. That way the ride will arrive in less than five minutes and everyone is happy. Uber built a complex "traffic control system" that hooks drivers and passengers up together. That system usually works great, but when high-crowd events show up these systems often mislead drivers and passengers alike. Waymo is, so far, punting, and refuses to go near these events, and has a very small number of passengers today. Even if you live in San Francisco you can't just get a Waymo, you have to wait to be added to the system and they are adding new passengers slowly so that the whole system remains healthy and doesn't hit these large-crowd issues yet. That will change as they scale up the system to be in many more cities over the next few years and open up the system to everyone, not just a limited number of beta testers. So, to wrap it up, soon entrepreneurs, like Elon Musk, who is making plans for bringing its millions of vehicles online to do human-less driving, will need to do new AI modeling work for how cars should behave around high-crowd events, leading to new traffic-control systems to bring thousands of cars in and out of these venues, and will need teams of humans working with venues and cities to build new drop-off-areas for autonomous vehicles to drop off and pick up people. That is a human job, not one that an AI or robot can do. And a company that has aspirations for building a global network of autonomous vehicles, will need many such workers to work with local customs/officials/venues/teams/events. I see very little modeling work, although I saw MIT Media Lab doing some early work to understand how cities would change due to autonomous vehicles, and I don't see anyone in the AI/Autonomous Vehicle industry talking about research/work in this areas. (And yes, I do have a list of those people here on X: https://x.com/scobleizer/lists) I'm doing this post to try to spur industry interest in working on these issues and to connect people who may already be working on them. Are you positioned for these new jobs? If you are, these are fun things to work on and you might even get free tickets to go see concerts or football games for you and your family. I got taken to a Taylor Swift concert by an entrepreneur who built technology systems for the local stadium, so I know it's possible. :-) Technology solves old problems and causes new problems. Which is why I'm still on team human. AI's aren't good at figuring this stuff out and I don't see them getting good at figuring them out, either, for years. Sounds like a good job to have for a while. Here's a new problem, and a new set of jobs for humans, that will be caused as more and more Robotaxis show up (think of an Uber that works without a human in the car). What is the problem? Transportation behavior will change as we get more and more vehicles on the road with no humans inside. Something that's already happening in San Francisco, where you see many autonomous vehicles driving around with no humans inside from companies like Waymo, Zoox, and others. Expected are many others, including Tesla, and GM's Cruise which we hear will be back on the road later this year. The problem? Football stadiums, concerts, basketball stadiums, conferences, events like the Olympics, all will see radically different usage patterns. For instance, today, if you attend a football game, you park in one of dozens of parking lots around the stadium and you walk in, or take a shuttle to one of the entrances. This adds some "randomness" to the flow of crowds in and out and lets city officials who plan out traffic flows bring traffic to those parking lots with a few different routes. Even today it's often a mess with traffic taking an hour to get into many venues with large numbers of people but officials, and others, who work in these industries tell me autonomous vehicles will make traffic far worse. Why? Well, let's assume in five years you are in a Cybertruck taking your family to a football game and that by then the Cybertruck can drive with no humans in the car. Will you want your Cybertruck to take you to a far off parking lot and make you walk to the stadium? No. You'll want it to drop you off near the football stadium. And here's the rub: so will everyone else. Which means you'll have thousands of Waymos, Cruises, Teslas, all trying to get to the same drop-off point. This new human expectation will lead to traffic nightmares. Worse, I've been talking with executives at these kinds of venues and they say the coordination between sports teams, city officials/police, and ride-sharing companies is nearly non-existent.One told me they tried to get Uber and Lyft to come meet with them to design new traffic flows for their vehicles and they just don't get very little help or interest from the ride-sharing companies. One, who works with the 49ers, tells me city officials often put up signs for Uber/Lyft drivers that lead them into dead-end roads where they need to waste time turning around and figuring out where they need to go. Signage, cones, road closures, all could be done in a much better way around venues. And that's before you consider the humans. Often crowds of humans getting out of venues are drunk, don't follow traffic rules, and, sometimes, even turn riotous. Has the autonomous vehicle industry worked with venues to understand how traffic systems change around event venues? No, is the answer I keep hearing, and getting Waymo or Tesla interested in studying the problem together and designing new traffic facilities around big-crowd venues is difficult. Oh, it can happen. At Coachella, for instance, Uber built a huge parking lot with waiting areas for humans that were covered (it's hot often waiting for your ride to show up). Uber also built contextual systems to work with drivers around the Western United States to convince drivers to come to Palm Springs for a month and drive people around (Coachella is two weekends, where 150,000 people visit each weekend, followed by a country music festival that has slightly smaller crowds, but Uber, alone, brings thousands of cars to handle the crowds of people who want to use it to get to and from the venue). Along with the parking lot city officials block off lanes and have clear signs for Uber/Lyft/Taxis to use and have police at every intersection directing traffic and making sure things flow smoothly. Even with all that work it often takes one to three hours of standing in line to get a Taxi or an Uber out of the venue. Now imagine if thousands of people were arriving in autonomous vehicles. If the vehicles weren't programmed into where to go, and if Tesla doesn't have its own drop off and pickup lot things could get nasty, and fast. Last week at NVIDIA's big event my Tesla was programmed to pick up a friend at the Marriott. Problem was it took me down a route that is usually just fine, but during that event NVIDIA and city officials had the street in front of the conference center closed due to the large crowds that were attending that event. My Tesla didn't know about the closed street so it tried to take me down that closed street, figured it out too late, and then got stuck in traffic going on a detour around, wasting 15 minutes. Now 15 minutes doesn't seem like a big deal, but it is if I was driving an Uber passenger. Why? Well, first of all now I have a passenger who isn't happy with the navigation choices the car made, maybe giving me a lower score than I otherwise would get, but, worse, if I was picking up a passenger that person might see that I'm now 15 minutes away instead of two and decide to hop in a cab or cancel my ride. Wasted time, which means if I'm driving an Uber I don't get paid. There also is a difference between permanent venues, like a football stadium, which have the same problems every weekend (while football isn't being played these stadiums are often used for other things, like concerts) and music festivals that only happen one or two weekends a year, like Coachella. There aren't enough vehicles to support these temporary crowds so vehicles have to be moved into that area. There are dozens of such festivals all over the world, and that's counting just the ones with 50,000 attendees or more, like EDC in Vegas, Glastonbury in UK, etc. So, a company, like a Tesla, which is expected to have humanless vehicles driving in most Western Countries, would need to work with dozens of venues to setup drop off and pick up zones, and with local police to understand how to work with them so that they understand how to work with autonomous vehicles. Once in a while one of those will get stuck, for instance, maybe with a blown tire or an equipment malfunction, or, worse, an accident. At SXSW a drunk driver plowed through crowds of people one year, killing many, and causing a major first-responder response. In such a situation all the constituencies would need to work together to change traffic flows to make sure more vehicles aren't drawn to the area, or interfere with first responders. Is there a relationship lead between all these constituencies? I hear there is not, except in the best of cases. So, this leads to a new job for humans. AI's can't attend city council or meetings with police. AI's can't often figure out why all traffic has stopped. Once, at Half Moon Bay's pumpkin festival it started to rain. Everyone headed for their cars at the same time, but both Waze and Apple Maps continued to give incorrect data for an hour, both on recommendations for what street to head down, and on time it will take to get out of the area. These systems are built for normal traffic flows, and often can't understand that police have even reversed traffic, so that cars are going down the wrong way on a road. Which leads to the AI. Uber's founder, Travis Kalanick, told me his goal is to have one car near someone who is calling for a ride. That way the ride will arrive in less than five minutes and everyone is happy. Uber built a complex "traffic control system" that hooks drivers and passengers up together. That system usually works great, but when high-crowd events show up these systems often mislead drivers and passengers alike. Waymo is, so far, punting, and refuses to go near these events, and has a very small number of passengers today. Even if you live in San Francisco you can't just get a Waymo, you have to wait to be added to the system and they are adding new passengers slowly so that the whole system remains healthy and doesn't hit these large-crowd issues yet. That will change as they scale up the system to be in many more cities over the next few years and open up the system to everyone, not just a limited number of beta testers. So, to wrap it up, soon entrepreneurs, like Elon Musk, who is making plans for bringing its millions of vehicles online to do human-less driving, will need to do new AI modeling work for how cars should behave around high-crowd events, leading to new traffic-control systems to bring thousands of cars in and out of these venues, and will need teams of humans working with venues and cities to build new drop-off-areas for autonomous vehicles to drop off and pick up people. That is a human job, not one that an AI or robot can do. And a company that has aspirations for building a global network of autonomous vehicles, will need many such workers to work with local customs/officials/venues/teams/events. I see very little modeling work, although I saw MIT Media Lab doing some early work to understand how cities would change due to autonomous vehicles, and I don't see anyone in the AI/Autonomous Vehicle industry talking about research/work in this areas. (And yes, I do have a list of those people here on X: https://x.com/scobleizer/lists ) https://x.com/scobleizer/lists I'm doing this post to try to spur industry interest in working on these issues and to connect people who may already be working on them. Are you positioned for these new jobs? If you are, these are fun things to work on and you might even get free tickets to go see concerts or football games for you and your family. I got taken to a Taylor Swift concert by an entrepreneur who built technology systems for the local stadium, so I know it's possible. :-) Technology solves old problems and causes new problems. Which is why I'm still on team human. AI's aren't good at figuring this stuff out and I don't see them getting good at figuring them out, either, for years. Sounds like a good job to have for a while.

On The Drop Off and Pick Up Problem for Robotaxis at Crowded Events like Football Games and Concerts

ফুটবল গেমস এবং কনসার্টের মতো ভিড়পূর্ণ ইভেন্টগুলিতে রোবোটক্সির জন্য ড্রপ অফ এবং পিক আপ সমস্যা

Zum Bring- und Abholproblem für Robotertaxis bei überfüllten Veranstaltungen wie Fußballspielen und Konzerten

Πρόβλημα κατά την παράδοση και την παραλαβή για ρομποταξία σε πολυσύχναστες εκδηλώσεις όπως αγώνες ποδοσφαίρου και συναυλίες

Sobre el problema de dejar y recoger a los robotaxis en eventos multitudinarios como partidos de fútbol y conciertos

Բազմամարդ իրադարձությունների ժամանակ, ինչպիսիք են ֆուտբոլային խաղերը և համերգները, ռոբոտաշինգի խնդիրը թողնելու և վերցնելու մասին

Sul problema del ritiro e della consegna dei robotaxi durante eventi affollati come partite di calcio e concerti

サッカーの試合やコンサートなどの混雑したイベントでのロボタクシーの降車・乗車問題について

Robotaxis izlaišanas un uzņemšanas problēma pārpildītos pasākumos, piemēram, futbola spēlēs un koncertos

Problemă de livrare și ridicare pentru Robotaxis la evenimente aglomerate precum jocuri de fotbal și concerte

Dejinta oo u soo qaado dhibta Robotaxis ee Munaasabadaha dadka badan sida Ciyaaraha Kubadda Cagta iyo Riwaayadaha

Kwenye Kuacha na Kuchukua Tatizo kwa Roboteksi kwenye Matukio yenye Watu wengi kama vile Michezo ya Kandanda na Tamasha

Eka The Drop Off and Pick Up Problem for Robotaxis eka Swiendlakalo leswi Taleke ku fana na Mintlangu ya Bolo ya Milenge na Tikhonsati

From AI To IoT: How Technology Developments Are Redefining The Driving Experience

How to Survive the AI Apocalypse

Stories, News & Mentions about CRUISE

Cruise’s Stories on HackerNoon

Cruise's News & Mentions