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Alphabet’s $GOOGL self-driving unit Waymo is exploring options to end its autonomous vehicle partnership with Uber. INDEPENDENT STRATEGY: Waymo plans to launch independent robotaxi services in Austin and Atlanta starting in January 2028. CORE STRENGTH: Parent company Alphabet maintains solid fundamentals with over $445.8B in total revenue and 50...

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Day 3. Finished 5 Tesla Robotaxi rides, 4 Waymo rides, and 1 Uber ride. (See 39-minute edited video below.) Uber is in a tough situation. Classic innovators dilemma. Autonomous ride-hailing clearly is the future, but if Uber invites Waymo then that's working against their human drivers which will hurt Uber's recruiting ability (which they need to keep density especially in suburban areas). But if they don't welcome Waymo, then Uber is toast because people want cheaper/autonomous ride-hailing. Also, if Uber welcomes Waymo and Waymo cars increase then Waymo can just bypass Uber with their own Waymo app. Uber's only "hope" would be if multiple autonomous driving companies come online soon and Uber becomes the ride-hailing marketplace for them. But I think this is unlikely. Autonomous driving is just a really hard problem to solve, and with data and network effects. I think it's a winner-takes-most market. We'll see. But the more I take Tesla's Robotaxi, the more I think it's smoother and better than Waymo. And the more I take Waymo, the more I get pessimistic about Uber's long-term future.
39:29

Day 3. Finished 5 Tesla Robotaxi rides, 4 Waymo rides, and 1 Uber ride. (See 39-minute edited video below.) Uber is in a tough situation. Classic innovators dilemma. Autonomous ride-hailing clearly is the future, but if Uber invites Waymo then that's working against their human drivers which will hurt Uber's recruiting ability (which they need to keep density especially in suburban areas). But if they don't welcome Waymo, then Uber is toast because people want cheaper/autonomous ride-hailing. Also, if Uber welcomes Waymo and Waymo cars increase then Waymo can just bypass Uber with their own Waymo app. Uber's only "hope" would be if multiple autonomous driving companies come online soon and Uber becomes the ride-hailing marketplace for them. But I think this is unlikely. Autonomous driving is just a really hard problem to solve, and with data and network effects. I think it's a winner-takes-most market. We'll see. But the more I take Tesla's Robotaxi, the more I think it's smoother and better than Waymo. And the more I take Waymo, the more I get pessimistic about Uber's long-term future.

Dave Lee

593,390 views • 1 year ago

Hims & Hers Health shares fell over 11% after an FDA advisory panel voted 7 to 6 against adding Emideltide to the compounding 503A Bulks List. THE IMPACT: The narrow rejection raises near-term regulatory hurdles for compounding pharmacy operators looking to offer customized peptide therapies. FUNDAMENTALS: Core operations remain strong, supported by $2.37B in total revenue and a high 72.92% gross margin. THE RATING: Regulatory uncertainty keeps the Seeking Alpha Quant score at a neutral HOLD. Will $HIMS overcome these regulatory hurdles with its expanded pharmacy compounding strategy?
0:29

Hims & Hers Health shares fell over 11% after an FDA advisory panel voted 7 to 6 against adding Emideltide to the compounding 503A Bulks List. THE IMPACT: The narrow rejection raises near-term regulatory hurdles for compounding pharmacy operators looking to offer customized peptide therapies. FUNDAMENTALS: Core operations remain strong, supported by $2.37B in total revenue and a high 72.92% gross margin. THE RATING: Regulatory uncertainty keeps the Seeking Alpha Quant score at a neutral HOLD. Will $HIMS overcome these regulatory hurdles with its expanded pharmacy compounding strategy?

Seeking Alpha

10,339 views • 16 days ago

Another 1st time experience with Tesla Robotaxi, this time with Alvaro who came in with his friend dom from Salt Lake City, Utah to give it a try! Alvaro is not very familiar with Tesla or autonomous driving, so he tried out all of the various ride hailing options here in Austin to get a good baseline for comparison. He tried a human-driven Uber, a few Waymo autonomous drives & the Tesla_AI autonomously driven Tesla Robotaxi & he has some very interesting and insightful observations! At the end of the day what did he conclude? Check it out!
4:48

Another 1st time experience with Tesla Robotaxi, this time with Alvaro who came in with his friend dom from Salt Lake City, Utah to give it a try! Alvaro is not very familiar with Tesla or autonomous driving, so he tried out all of the various ride hailing options here in Austin to get a good baseline for comparison. He tried a human-driven Uber, a few Waymo autonomous drives & the Tesla_AI autonomously driven Tesla Robotaxi & he has some very interesting and insightful observations! At the end of the day what did he conclude? Check it out!

Joe Tegtmeyer 🚀 🤠🛸😎

34,104 views • 1 year ago

For the first time ever, I rode in a fully autonomous driverless ride-hailing (Waymo) vehicle in San Fransciso. The vehicle navigated the busy streets just like any vehicle with a driver. But, I got to admit, it was surreal sitting in the back and riding without a driver (and no one to talk). The vehicle’s computer controlled everything including the music, the temperature, announcements such as how long the ride takes and arrival. Waymo and similar others could be the new norm in many cities around the world in the not distant future. The question is: What would happen to the jobs of millions of drivers of taxis and ride hailing services around the world? Waymo is owned by Alphabet (Google’s parent) and has expanded beyond its original base in San Francisco to other U.S. cities including Los Angeles, Dallas, etc.
0:38

For the first time ever, I rode in a fully autonomous driverless ride-hailing (Waymo) vehicle in San Fransciso. The vehicle navigated the busy streets just like any vehicle with a driver. But, I got to admit, it was surreal sitting in the back and riding without a driver (and no one to talk). The vehicle’s computer controlled everything including the music, the temperature, announcements such as how long the ride takes and arrival. Waymo and similar others could be the new norm in many cities around the world in the not distant future. The question is: What would happen to the jobs of millions of drivers of taxis and ride hailing services around the world? Waymo is owned by Alphabet (Google’s parent) and has expanded beyond its original base in San Francisco to other U.S. cities including Los Angeles, Dallas, etc.

Zemedeneh Negatu

437,360 views • 3 months ago

Ride-hailing is still "less than 1% of vehicle miles in the US." Alex Immerman says today's rideshare market is like looking at Uber vs. taxis in the early days—it’s just the tip of the iceberg: "The rideshare market is going to grow by at least an order of magnitude in the coming years." "When the price goes down and it’s meaningfully cheaper than human-led cars, people will weigh the tradeoff between driving themselves, getting in a human car, or getting in a Waymo—and it’ll be cheaper to get in a Waymo." sourcery with Molly O’Shea
2:00

Ride-hailing is still "less than 1% of vehicle miles in the US." Alex Immerman says today's rideshare market is like looking at Uber vs. taxis in the early days—it’s just the tip of the iceberg: "The rideshare market is going to grow by at least an order of magnitude in the coming years." "When the price goes down and it’s meaningfully cheaper than human-led cars, people will weigh the tradeoff between driving themselves, getting in a human car, or getting in a Waymo—and it’ll be cheaper to get in a Waymo." sourcery with Molly O’Shea

a16z

42,268 views • 4 months ago

We Took More Than 40 Rides In A Tesla Robotaxi | Our Initial Thoughts - Episode #22 of The Gigacast ---------------------------------------------------------- 0:00 Introduction to Robotaxi 1:05 Omar's first thoughts about the Tesla Robotaxi launch in Austin 2:45 Sawyer's first thoughts 10:00 The Safety Driver 13:30 Entertainment in the Robotaxi 14:45 The Rideshares App and Differences Between Robotaxi and Standard Model Fleet 19:10 How many Tesla Robotaxis are there today 21:12 Problems with the launch so far 26:00 A moment of optimism for Autonomous Vehicles 29:20 Tesla vs Waymo | The race is here NOW 33:10 How many players will there be in this space Challenges that did with the launch | What Is Uber's Future 45:00 Are we all going to become fat and lazy 46:50 Tesla FSD in New York City 48:15 What is next for Tesla, Robotaxi, Elon Musk, and legacy automakers 1:05:05 Final comments ----------------------------------------------------------
1:09:54

We Took More Than 40 Rides In A Tesla Robotaxi | Our Initial Thoughts - Episode #22 of The Gigacast ---------------------------------------------------------- 0:00 Introduction to Robotaxi 1:05 Omar's first thoughts about the Tesla Robotaxi launch in Austin 2:45 Sawyer's first thoughts 10:00 The Safety Driver 13:30 Entertainment in the Robotaxi 14:45 The Rideshares App and Differences Between Robotaxi and Standard Model Fleet 19:10 How many Tesla Robotaxis are there today 21:12 Problems with the launch so far 26:00 A moment of optimism for Autonomous Vehicles 29:20 Tesla vs Waymo | The race is here NOW 33:10 How many players will there be in this space Challenges that did with the launch | What Is Uber's Future 45:00 Are we all going to become fat and lazy 46:50 Tesla FSD in New York City 48:15 What is next for Tesla, Robotaxi, Elon Musk, and legacy automakers 1:05:05 Final comments ----------------------------------------------------------

Rallies

73,519 views • 1 year ago

$UBER will be the biggest winner of the robotaxi revolution, not a loser. Waymo and Tesla are great, but neither of them is active outside the US, and their scaling capabilities are limited as they are creating the distribution from the ground. $UBER, on the other hand, has already been operating robotaxis in the Middle East and Asia, and they are looking to reach 10 markets by the end of 2026. Also, the tech is rapidly getting commoditized. Avride of $NBIS, for instance, is about to match $TSLA in robotaxi functionality. In such a market setting, technology providers will be better off entering markets in collaboration with $UBER rather than competing away all the margins. Long $UBER.
1:06

$UBER will be the biggest winner of the robotaxi revolution, not a loser. Waymo and Tesla are great, but neither of them is active outside the US, and their scaling capabilities are limited as they are creating the distribution from the ground. $UBER, on the other hand, has already been operating robotaxis in the Middle East and Asia, and they are looking to reach 10 markets by the end of 2026. Also, the tech is rapidly getting commoditized. Avride of $NBIS, for instance, is about to match $TSLA in robotaxi functionality. In such a market setting, technology providers will be better off entering markets in collaboration with $UBER rather than competing away all the margins. Long $UBER.

Oguz Erkan

205,187 views • 7 months ago

NEWS: Lucid today unveiled its production-intent robotaxi vehicle, developed in partnership with Group, Nuro and Uber, that will power its global robotaxi service. They also debuted today the Uber-designed in-cabin rider experience: • Sensor array featuring high-resolution cameras, solid-state lidar sensors, and radars. • Halo-mounted integrated LEDs to help riders easily identify the correct vehicle, display rider initials, and provide clear status updates from pickup through dropoff. • In-vehicle visualization that shows what the robotaxi sees and its planned path in real-time, including maneuvers such as yielding to pedestrians, slowing at traffic lights, changing lanes, and dropping off a passenger. • Interactive screens that let riders personalize their autonomous journey — from heated-seat and climate controls to music, as well as options to contact support, or request the vehicle to pull-over. • Fit up to six passengers • Compute based on NVIDIA DRIVE AGX Thor, part of the NVIDIA DRIVE Hyperion platform Pending final validation, the production intent robotaxi is expected to start production at Lucid’s Arizona factory later this year.
1:26

NEWS: Lucid today unveiled its production-intent robotaxi vehicle, developed in partnership with Group, Nuro and Uber, that will power its global robotaxi service. They also debuted today the Uber-designed in-cabin rider experience: • Sensor array featuring high-resolution cameras, solid-state lidar sensors, and radars. • Halo-mounted integrated LEDs to help riders easily identify the correct vehicle, display rider initials, and provide clear status updates from pickup through dropoff. • In-vehicle visualization that shows what the robotaxi sees and its planned path in real-time, including maneuvers such as yielding to pedestrians, slowing at traffic lights, changing lanes, and dropping off a passenger. • Interactive screens that let riders personalize their autonomous journey — from heated-seat and climate controls to music, as well as options to contact support, or request the vehicle to pull-over. • Fit up to six passengers • Compute based on NVIDIA DRIVE AGX Thor, part of the NVIDIA DRIVE Hyperion platform Pending final validation, the production intent robotaxi is expected to start production at Lucid’s Arizona factory later this year.

Sawyer Merritt

357,517 views • 7 months ago

Some investors/analysts argue against including Robotaxi in Tesla's valuation model because they believe that once Tesla achieves unsupervised Full Self-Driving (FSD), other companies will quickly follow suit within two to three years. However, I argue the following: • Tesla likely has a 4-5 year lead in generalized autonomous driving. • Tesla has millions of vehicles that could be potentially deployed into a Robotaxi network once unsupervised FSD is ready. • With a large supply of cars offering quick rides at cheaper prices than Uber and Lyft (no human driver), Tesla's robotaxi network will be extremely difficult to compete against. • Newcomers entering the market years later will struggle to match Tesla's supply density, competitive pricing, and demand, even in a single city. In other words, Tesla’s first mover advantage in the Robotaxi market will likely be very significant and the resulting network effects will make it extremely difficult to compete with for future newcomers to the Robotaxi market.
8:23

Some investors/analysts argue against including Robotaxi in Tesla's valuation model because they believe that once Tesla achieves unsupervised Full Self-Driving (FSD), other companies will quickly follow suit within two to three years. However, I argue the following: • Tesla likely has a 4-5 year lead in generalized autonomous driving. • Tesla has millions of vehicles that could be potentially deployed into a Robotaxi network once unsupervised FSD is ready. • With a large supply of cars offering quick rides at cheaper prices than Uber and Lyft (no human driver), Tesla's robotaxi network will be extremely difficult to compete against. • Newcomers entering the market years later will struggle to match Tesla's supply density, competitive pricing, and demand, even in a single city. In other words, Tesla’s first mover advantage in the Robotaxi market will likely be very significant and the resulting network effects will make it extremely difficult to compete with for future newcomers to the Robotaxi market.

Dave Lee

1,555,115 views • 2 years ago

Applied Intuition CEO Qasar Younis on the autonomous driving approaches being taken by Tesla and Waymo, and why both can succeed in the years to come: "Generally speaking, every single car company on the planet right now is working on a product that’s like a Tesla FSD product. Many companies are working on versions of that, that would become fully autonomous within a cheap sensor suite." "So the fundamental difference, just to simplify the Tesla approach versus the Waymo approach... the Waymo approach is lots of sensors and lots of compute, and maps, and the Tesla version is very few sensors, no high fidelity maps... and cheaper compute for a lack of a better word." "And the Tesla version of a product, this in the industry is called an L2++ product, is going to be available everywhere because it’s literally cheaper and it doesn’t require HD maps. The Waymo product functions better in a geographically constrained area." "So, fast forward five years, both of these types of technologies will be much more ubiquitous. L2++ and L4 will be much more ubiquitous, not only in the Bay Area or in parts of China, but really globally - there are companies working on this globally." "We’re at that moment for L2++ systems. Where people are willing to pay thousands of dollars for a semi-automated vehicle." "It will not be a long time — you’re already seeing this in China — where the downward pricing pressure for the autonomous product, for lack of a better word, will become close to free." Qasar Younis Lenny Rachitsky
1:35

Applied Intuition CEO Qasar Younis on the autonomous driving approaches being taken by Tesla and Waymo, and why both can succeed in the years to come: "Generally speaking, every single car company on the planet right now is working on a product that’s like a Tesla FSD product. Many companies are working on versions of that, that would become fully autonomous within a cheap sensor suite." "So the fundamental difference, just to simplify the Tesla approach versus the Waymo approach... the Waymo approach is lots of sensors and lots of compute, and maps, and the Tesla version is very few sensors, no high fidelity maps... and cheaper compute for a lack of a better word." "And the Tesla version of a product, this in the industry is called an L2++ product, is going to be available everywhere because it’s literally cheaper and it doesn’t require HD maps. The Waymo product functions better in a geographically constrained area." "So, fast forward five years, both of these types of technologies will be much more ubiquitous. L2++ and L4 will be much more ubiquitous, not only in the Bay Area or in parts of China, but really globally - there are companies working on this globally." "We’re at that moment for L2++ systems. Where people are willing to pay thousands of dollars for a semi-automated vehicle." "It will not be a long time — you’re already seeing this in China — where the downward pricing pressure for the autonomous product, for lack of a better word, will become close to free." Qasar Younis Lenny Rachitsky

a16z

60,385 views • 5 months ago

Elon Musk and Trump ... Are They Finished? What's Next For Tesla In June - Episode #19 of the Gigacast --------------------------------------------- 1:15 JUNE IS HERE FOR TESLA ... Expectations for the rollout of Full Self Driving 8:00 The Initial Launch Strategy and How it Compares to the roll out of Waymo 11:50 What Is Tesla Looking Out For As It Launches Full Self Driving in Austin Texas 12:53 The best and worst-case scenarios for Robotaxi 19:00 The break of Elon Musk and President Trump over unsustainable spending and the impact of Elon Musk's move into Politics 23:55 Spending money is fun, balancing the budget is tough 27:06 What is the future of Elon Musk in Politics ... A new political party? 31:25 Jared Isaacman no longer going to be the head of NASA because of his relationship with Elon Musk 35:55 What does this mean for the regulatory environment 42:05 Expansion of Full Self Driving technology into other Cities after Austin Texas 48:00 Tesla Mailbag questions 55:00 Wrap ups/Final Remarks ---------------------------------------------
57:58

Elon Musk and Trump ... Are They Finished? What's Next For Tesla In June - Episode #19 of the Gigacast --------------------------------------------- 1:15 JUNE IS HERE FOR TESLA ... Expectations for the rollout of Full Self Driving 8:00 The Initial Launch Strategy and How it Compares to the roll out of Waymo 11:50 What Is Tesla Looking Out For As It Launches Full Self Driving in Austin Texas 12:53 The best and worst-case scenarios for Robotaxi 19:00 The break of Elon Musk and President Trump over unsustainable spending and the impact of Elon Musk's move into Politics 23:55 Spending money is fun, balancing the budget is tough 27:06 What is the future of Elon Musk in Politics ... A new political party? 31:25 Jared Isaacman no longer going to be the head of NASA because of his relationship with Elon Musk 35:55 What does this mean for the regulatory environment 42:05 Expansion of Full Self Driving technology into other Cities after Austin Texas 48:00 Tesla Mailbag questions 55:00 Wrap ups/Final Remarks ---------------------------------------------

The Gigacast

58,588 views • 1 year ago

TESLA OPENS ROBOTAXI APP WORLDWIDE AS DRIVERLESS ERA ACCELERATES Tesla has taken its next giant step toward a global autonomous future. The company expanded access to its Robotaxi app beyond North America, allowing users across Japan, Thailand, Hong Kong, South Korea, Australia, Taiwan, Macau, New Zealand, and Mexico to download the platform for the first time. Robotaxi, Tesla’s ride-hailing service powered by its Full Self-Driving technology, is already running pilot programs in Texas, California, and Arizona, with Miami, Houston, Las Vegas, Phoenix, and Dallas next in line. The vehicles have already logged over 550,000 autonomous miles, most from the Bay Area and Austin, and now Tesla is aiming to prove it can scale the system globally. Tesla’s focus is twofold: rapid expansion and full autonomy. The company is working to remove in car safety monitors, using new in cabin data systems to support passengers remotely instead of relying on human supervisors. If successful, Tesla will unlock a new transportation model where rides summon themselves and cars earn income while their owners sleep. The age of human drivers is ending, and Tesla’s Robotaxi network is steering the world straight into it. Source: TESLARATI Tesla
1:33

TESLA OPENS ROBOTAXI APP WORLDWIDE AS DRIVERLESS ERA ACCELERATES Tesla has taken its next giant step toward a global autonomous future. The company expanded access to its Robotaxi app beyond North America, allowing users across Japan, Thailand, Hong Kong, South Korea, Australia, Taiwan, Macau, New Zealand, and Mexico to download the platform for the first time. Robotaxi, Tesla’s ride-hailing service powered by its Full Self-Driving technology, is already running pilot programs in Texas, California, and Arizona, with Miami, Houston, Las Vegas, Phoenix, and Dallas next in line. The vehicles have already logged over 550,000 autonomous miles, most from the Bay Area and Austin, and now Tesla is aiming to prove it can scale the system globally. Tesla’s focus is twofold: rapid expansion and full autonomy. The company is working to remove in car safety monitors, using new in cabin data systems to support passengers remotely instead of relying on human supervisors. If successful, Tesla will unlock a new transportation model where rides summon themselves and cars earn income while their owners sleep. The age of human drivers is ending, and Tesla’s Robotaxi network is steering the world straight into it. Source: TESLARATI Tesla

Mario Nawfal

15,080 views • 8 months ago

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:
1:33

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:

Sawyer Merritt

83,625 views • 8 months ago

Austin, Texas, June.04.2025- If ever there was evidence of Waymo’s fatal flaw- It’s this video. The Sunset Project™️ did post a shorter version of this video several weeks ago. It’s important to catalog the full video. This is an extremely dangerous safety critical failure with the vehicle stopping on a curve of the MoPac Expressway. At first, the passengers were trapped, and the vehicle would not let them get out. Finally, after threatening to go live on TikTok, the Waymo supervisor unlocked the doors so they could get out and avoid being hit from behind at high speed. At this time, The Sunset Project™️ is making its first formal request to Waymo: Please offer transparent data of these freezing events and the prospective plan to eliminate these critical safety failures that may result in injury, death, and property damage. A freezing event is ‘any occurrence whereas the vehicle fails to positive navigate causing a supervisor to perform a remote unlock and/or an on-site visit to move the vehicle to safety. If this continues, certainly lives will be lost as Waymo continues to scale. *Please forward or tag any experts that may be interested in autonomous vehicle safety.
2:30

Austin, Texas, June.04.2025- If ever there was evidence of Waymo’s fatal flaw- It’s this video. The Sunset Project™️ did post a shorter version of this video several weeks ago. It’s important to catalog the full video. This is an extremely dangerous safety critical failure with the vehicle stopping on a curve of the MoPac Expressway. At first, the passengers were trapped, and the vehicle would not let them get out. Finally, after threatening to go live on TikTok, the Waymo supervisor unlocked the doors so they could get out and avoid being hit from behind at high speed. At this time, The Sunset Project™️ is making its first formal request to Waymo: Please offer transparent data of these freezing events and the prospective plan to eliminate these critical safety failures that may result in injury, death, and property damage. A freezing event is ‘any occurrence whereas the vehicle fails to positive navigate causing a supervisor to perform a remote unlock and/or an on-site visit to move the vehicle to safety. If this continues, certainly lives will be lost as Waymo continues to scale. *Please forward or tag any experts that may be interested in autonomous vehicle safety.

No Safe Words

23,091 views • 1 year ago

Many people see Waymo and think they’re ahead of everyone in the autonomous driving race. After all, they’re giving out over 100,000 paid robotaxi rides a week across cities like San Francisco, Phoenix, and Los Angeles with a fleet of 700 vehicles, and on the surface, it could seem like they’re dominating. However, each Waymo costs $100,000 due to the complex, expensive hardware that’s in use. And due to this, they’re losing money on every single ride. For Waymo, scaling this business up means higher costs, and I don’t think it’s a sustainable model, even if the company keeps pouring $ into it. Now, look at Tesla. With a fleet closing in on 7 million vehicles worldwide, Tesla is playing a different game. Instead of relying on bulky, expensive hardware, Tesla uses a much simpler, more cost-effective approach, just 8 or 9 cameras and a powerful AI neural net. This AI, constantly learning from millions of real-world miles, means Tesla’s software gets smarter every day and can be scaled across the globe without needing new hardware for every car. So, while Waymo might seem like it’s leading the charge today, in my eyes, Tesla is quietly preparing to take over the entire field. They’ve created the foundation for something far bigger and is why I believe the true leader in Robotaxis will be Tesla, and I can’t wait for everyone to see it unfold on 10/10!
0:36

Many people see Waymo and think they’re ahead of everyone in the autonomous driving race. After all, they’re giving out over 100,000 paid robotaxi rides a week across cities like San Francisco, Phoenix, and Los Angeles with a fleet of 700 vehicles, and on the surface, it could seem like they’re dominating. However, each Waymo costs $100,000 due to the complex, expensive hardware that’s in use. And due to this, they’re losing money on every single ride. For Waymo, scaling this business up means higher costs, and I don’t think it’s a sustainable model, even if the company keeps pouring $ into it. Now, look at Tesla. With a fleet closing in on 7 million vehicles worldwide, Tesla is playing a different game. Instead of relying on bulky, expensive hardware, Tesla uses a much simpler, more cost-effective approach, just 8 or 9 cameras and a powerful AI neural net. This AI, constantly learning from millions of real-world miles, means Tesla’s software gets smarter every day and can be scaled across the globe without needing new hardware for every car. So, while Waymo might seem like it’s leading the charge today, in my eyes, Tesla is quietly preparing to take over the entire field. They’ve created the foundation for something far bigger and is why I believe the true leader in Robotaxis will be Tesla, and I can’t wait for everyone to see it unfold on 10/10!

Teslaconomics

473,915 views • 1 year ago

AVs on Uber's platform see 30% higher utilization... In 2020, Uber sold its self-driving unit. Since then, they've become the biggest aggregator of AV supply, partnering with nearly every AV provider (eg Waymo). Dara explains their strategy: "We're allowing these companies to really focus on building the driver. We are building services around them. We're securing depots, charging, and working with fleet partners. We're securing financing. We just announced a billion-dollar financing line with Santander for EV fleets and AV fleets. We're working on autonomous insurance as well. We're building the entire ecosystem so someone who builds a driver can get those cars in the road, and then, we have all the supporting infrastructure. When they hit market, we've got instant demand for them. AVs that are on our network are 30% or more busy than 1P AVs who aren't using our network. A Waymo, of course they want to build their own brand and their own channel, but at the same time we are able to drive more utilization for them when their cars are on our network. We think there's going to be an amalgamation of business models. There already is in travel, there already is in food — same thing will happen in transportation."
2:01

AVs on Uber's platform see 30% higher utilization... In 2020, Uber sold its self-driving unit. Since then, they've become the biggest aggregator of AV supply, partnering with nearly every AV provider (eg Waymo). Dara explains their strategy: "We're allowing these companies to really focus on building the driver. We are building services around them. We're securing depots, charging, and working with fleet partners. We're securing financing. We just announced a billion-dollar financing line with Santander for EV fleets and AV fleets. We're working on autonomous insurance as well. We're building the entire ecosystem so someone who builds a driver can get those cars in the road, and then, we have all the supporting infrastructure. When they hit market, we've got instant demand for them. AVs that are on our network are 30% or more busy than 1P AVs who aren't using our network. A Waymo, of course they want to build their own brand and their own channel, but at the same time we are able to drive more utilization for them when their cars are on our network. We think there's going to be an amalgamation of business models. There already is in travel, there already is in food — same thing will happen in transportation."

Patrick OShaughnessy

45,488 views • 2 months ago

1 Year Anniversary of Tesla Tesla Robotaxi Launch ... Reliving that 1st day! One year ago a small group or people including me received an invitation from Tesla_AI to be among the first to participate in the launch of the Tesla Robotaxi service. The launch took place in Austin Texas on 22 June 2025 and was punctuated by a lot of excitement, some uncertainty or what to expect, waiting for the app to download and then hailing the first ride as the small group of participants faced out in the initial service area and waited for their Robotaxi to arrive! For this initial launch, Tesla used Model Y's with the "Robotaxi" logos on the doors and rear hatch and had supervisors in the passenger seat but the cars all drove autonomously and did exceptionally well. We had all kinds of media trailing behind trying to get images, interviews or any information about our experiences, and this made for a surreal day, almost like paparazzi chasing after high-profile celebrities. Over the next year, the Robotaxi service would slowly scale to new cities, initially Austin and the San Fransisco areas, and then later to Houston and Dallas while preparations for several more cities were underway. The fleet did scale up but slowly, going through several revisions and updates of the autonomous software, becoming fully unsupervised and the fleet management aspects of the Robotaxi service were further developed. Regulatory permits and filings also took place to position the Robotaxi service for what we all hope will be large-scale expansion including the addition of the new Cybercabs, which are now in limited production and are testing multiple locations around the US. What will year 2 be like for Robotaxi? All indications are a very big year, but ultimately, Tesla needs to demonstrate they can execute on their plans, preparations and Cybercab production. I'm very hopeful they will be able to do so starting very soon! JC Christopher Doug 📐 JUSTIN ROTH Tesla Welt - german Podcast about Tesla Kalena Brown Chuck Cook Herbert Ong Tesla Owners Silicon Valley Ashok Elluswamy
3:45

1 Year Anniversary of Tesla Tesla Robotaxi Launch ... Reliving that 1st day! One year ago a small group or people including me received an invitation from Tesla_AI to be among the first to participate in the launch of the Tesla Robotaxi service. The launch took place in Austin Texas on 22 June 2025 and was punctuated by a lot of excitement, some uncertainty or what to expect, waiting for the app to download and then hailing the first ride as the small group of participants faced out in the initial service area and waited for their Robotaxi to arrive! For this initial launch, Tesla used Model Y's with the "Robotaxi" logos on the doors and rear hatch and had supervisors in the passenger seat but the cars all drove autonomously and did exceptionally well. We had all kinds of media trailing behind trying to get images, interviews or any information about our experiences, and this made for a surreal day, almost like paparazzi chasing after high-profile celebrities. Over the next year, the Robotaxi service would slowly scale to new cities, initially Austin and the San Fransisco areas, and then later to Houston and Dallas while preparations for several more cities were underway. The fleet did scale up but slowly, going through several revisions and updates of the autonomous software, becoming fully unsupervised and the fleet management aspects of the Robotaxi service were further developed. Regulatory permits and filings also took place to position the Robotaxi service for what we all hope will be large-scale expansion including the addition of the new Cybercabs, which are now in limited production and are testing multiple locations around the US. What will year 2 be like for Robotaxi? All indications are a very big year, but ultimately, Tesla needs to demonstrate they can execute on their plans, preparations and Cybercab production. I'm very hopeful they will be able to do so starting very soon! JC Christopher Doug 📐 JUSTIN ROTH Tesla Welt - german Podcast about Tesla Kalena Brown Chuck Cook Herbert Ong Tesla Owners Silicon Valley Ashok Elluswamy

Joe Tegtmeyer 🚀 🤠🛸😎

14,649 views • 1 month ago

I rode in a Zoox (self-driving Amazon car) today! Overall an amazing experience; another rare time where the present truly looks, feels, and sounds like the future Waymo set a *very* high standard for me to compare to but I feel like Zoox was able to achieve a similar level of polish throughout the experience Pros: • App is great and actually works (rare!) • Driving is very smooth, about the same as a Waymo (both of which are nicer and smoother than most humans) • The leg space and seat layout are great and unparalleled. There's drink holders, usb ports, wireless charging, and music control on touch screen • 10/10 SFX, voice, animations, and subtle details. They matter! Cons: • Service area is small (mostly East Mission + SOMA, see below) • I feel a little less safe in Zoox versus Waymo. Waymo still has a driver's seat, a steering wheel, and more importantly, a dashboard which shows me what the car sees and what it is thinking and planning. Zoox has none of these (the touch screens don't show me LIDAR or AI predictions), which does feel super cool, but will take me a bit to get used to • The vehicle draws attention to itself more so than Waymo due to its irregularity, which I dislike because I don't feel safe in NE Mission and SOMA (but this isn't really Zoox's fault, is it? I trust it to not crash me!) • No Spotify integration but I could choose songs from Zoox FM Misc: • My pickup time was 7min, which is on par with or ~2min above my average Waymo pickup time • My ride was free. I don't know what the price will settle on when there's larger availability and also don't know current availability or timelines • There were two semi-urgent stops on my ride from a cyclist and a motorcyclist who both came aggressively close (around 1ft) to me. One stop was a bit less smooth than Waymo's would have been, but the car still made smart choices • Rides are available 8AM-11PM, riders must be 8 or older, no pets, alcohol, or smoking Overall: • Really cool experience. Feels less like taking a taxi and more like being in a smooth amusement park ride that tries (and succeeds!) at convincing me I'm living in the year 2030 • For now I'll stick with Waymo due to the UX, music control, familiarity, and availability (I've spent 105 hours of my life in a Waymo thus far apparently), but once Zoox expands their service area, especially if I'm with 2-3 friends, I'm looking forward to trying it more often Disclosures: • I love Waymo and self-driving cars • I own exactly one share in Amazon valued at $234 • I wasn't asked to tweet or review but no one told me I couldn't so send tweet
0:25

I rode in a Zoox (self-driving Amazon car) today! Overall an amazing experience; another rare time where the present truly looks, feels, and sounds like the future Waymo set a *very* high standard for me to compare to but I feel like Zoox was able to achieve a similar level of polish throughout the experience Pros: • App is great and actually works (rare!) • Driving is very smooth, about the same as a Waymo (both of which are nicer and smoother than most humans) • The leg space and seat layout are great and unparalleled. There's drink holders, usb ports, wireless charging, and music control on touch screen • 10/10 SFX, voice, animations, and subtle details. They matter! Cons: • Service area is small (mostly East Mission + SOMA, see below) • I feel a little less safe in Zoox versus Waymo. Waymo still has a driver's seat, a steering wheel, and more importantly, a dashboard which shows me what the car sees and what it is thinking and planning. Zoox has none of these (the touch screens don't show me LIDAR or AI predictions), which does feel super cool, but will take me a bit to get used to • The vehicle draws attention to itself more so than Waymo due to its irregularity, which I dislike because I don't feel safe in NE Mission and SOMA (but this isn't really Zoox's fault, is it? I trust it to not crash me!) • No Spotify integration but I could choose songs from Zoox FM Misc: • My pickup time was 7min, which is on par with or ~2min above my average Waymo pickup time • My ride was free. I don't know what the price will settle on when there's larger availability and also don't know current availability or timelines • There were two semi-urgent stops on my ride from a cyclist and a motorcyclist who both came aggressively close (around 1ft) to me. One stop was a bit less smooth than Waymo's would have been, but the car still made smart choices • Rides are available 8AM-11PM, riders must be 8 or older, no pets, alcohol, or smoking Overall: • Really cool experience. Feels less like taking a taxi and more like being in a smooth amusement park ride that tries (and succeeds!) at convincing me I'm living in the year 2030 • For now I'll stick with Waymo due to the UX, music control, familiarity, and availability (I've spent 105 hours of my life in a Waymo thus far apparently), but once Zoox expands their service area, especially if I'm with 2-3 friends, I'm looking forward to trying it more often Disclosures: • I love Waymo and self-driving cars • I own exactly one share in Amazon valued at $234 • I wasn't asked to tweet or review but no one told me I couldn't so send tweet

near

167,900 views • 10 months ago

Enabling autonomous vehicles perceive their environment using only off-the-shelf cameras has been a long term research objective at Swaayatt Robots. This demo highlights the capabilities of our on-road perception system which is able to detect obstacles, road boundaries, lane markers in images, as well as compute depth of the complex scenes in the environment. The output shown in this video is end-to-end raw output from our deep learning system, without any post processing. The current system, with joint computation of obstacles, lane/road boundaries, and depth, works at 30 FPS on an embedded GPU in our autonomous vehicle, and can achieve higher FPS with further optimization -- which is currently a research in progress. This system is being scaled up for both the day and night operations, and we will showcase its strength towards enabling autonomous driving on a mountainous environment with unpaved roads, in the absence of any delimiters. #deeplearning #autonomousdriving #autonomousvehicles #machinelearning
3:27

Enabling autonomous vehicles perceive their environment using only off-the-shelf cameras has been a long term research objective at Swaayatt Robots. This demo highlights the capabilities of our on-road perception system which is able to detect obstacles, road boundaries, lane markers in images, as well as compute depth of the complex scenes in the environment. The output shown in this video is end-to-end raw output from our deep learning system, without any post processing. The current system, with joint computation of obstacles, lane/road boundaries, and depth, works at 30 FPS on an embedded GPU in our autonomous vehicle, and can achieve higher FPS with further optimization -- which is currently a research in progress. This system is being scaled up for both the day and night operations, and we will showcase its strength towards enabling autonomous driving on a mountainous environment with unpaved roads, in the absence of any delimiters. #deeplearning #autonomousdriving #autonomousvehicles #machinelearning

Sanjeev Sharma

18,478 views • 1 year ago