Far too many people think Tesla is much closer to being able to take the human out of the driver's seat than it really is. Here's why it is nowhere close.
2/ Let's go way back to Waymo's 2016 Autonomous Vehicle Disengagement Report. By the end of the 2016 reporting period, Google/Waymo had operated in autonomous mode for 2.3 million miles, 636k of which occurred on public roads. (Mostly in Mountain View & neighboring communities)
3/ In 2016, 60 Waymo vehicles drove 636k miles autonomously on public roads in California. During those, there were 124 disengagements reported while the vehicles were in autonomous mode. In other words, 5,128 miles driven autonomously between reported disengagements.
4/ It is important to note that not every time the safety driver turns the car off of autonomous mode is considered a "reportable disengagement" by the CA DMV. Most (unreported) disengagements are for planned takeovers. Only unplanned takeovers/disengagements count.
5/ Among the causes for disengagements, software discrepancy and unwanted maneuver of the vehicle were the leading reasons the safety drivers felt the need to take over control.
6/ Among the least common causes for disengagements were for: emergency vehicles, road debris, construction zones, & once for weather. This was over the course of a year.
7/ While it is unclear how much of the autonomous driving was done on highways vs. urban streets, most of the disengagements were on urban streets, as you would expect.
8/ @CA_DMV requires AV testing permit holders to categorize and describe EVERY unexpected disengagement. Tesla doesn't report its data because it is still a Level 2 system. Even its FSD City Streets Beta is not subject to autonomous mileage disclosure.
9/ So let's compare Waymo in 2016 to Tesla FSD City Streets Beta today.
Miles between disengagements
Waymo (2016): 5,128mi
Tesla FSD Beta (today, observed): ~2mi
10/ "But FSD is still in Beta." Okay, let's compare something Tesla thinks is "feature-complete" enough to recognize deferred revenue: Navigate on Autopilot - Highway.
11/ Let's use the best available dataset on Tesla Autopilot disengagements: the controversial (for being too pro-Tesla) MIT AgeLab paper on Tesla AP.
Of 112,427 miles driven on Autopilot, there were 18,928 disengagement epochs.
5.94mi per disengagement
12/ But 54% of those would not be considered "reportable disengagements" by the CA DMV. So let's use the ones that would be counted: "Tricky Situations". MIT normalized the # and only counted daytime driving, which resulted in an Autopilot disengagement every 9.2 miles.
13/ Now that's highway driving, which Tesla claims its system is very good at navigating. I use it a lot, and it is quite good. 9.2 miles sounds accurate on highway driving. That's Tesla's BEST statistic.
Miles between disengagements
Waymo (2016): 5,128mi
Tesla Autopilot: 9.2mi
14/ And even that comparison isn't fair. Waymo's 2016 disengagement rate is mostly in urban/suburban driving with turns, traffic lights/signs, etc., whereas Tesla's disengagement rate is on highways and well-lined lanes with NO turns, traffic lights/signs, etc.
15/ At this point, some may be thinking that Waymo's 2016 CA AV driving data was conducted in a small HD-mapped area, and that Tesla uses a more generalized approach. Well, Tesla's latest FSD Beta cannot drive more than a few miles before driver take over ANYWHERE...
16/ ...meanwhile, @Waymo has robotaxi fleets in operation with no human driver behind the wheel. Sure, Waymo's robotaxis may look ugly & cost as much as a Tesla Model S with all the sensors & computers they use, but Waymo has successfully taken the human out of the driver's seat.
17/ Tesla FSD fans often tout how much Tesla's FSD Beta is improving with each iteration. Waymo has also improved a lot since 2016: +484%.
Last year, Waymo logged 29,945 autonomous miles between reported disengagements.
18/ Waymo isn't the only company with impressive disengagement stats. China's @autoxtech and @PonyAI_tech logged 20k and 10.7k miles between disengagements, respectively.
19/ In California, the @CA_DMV and @californiapuc award self-driving permits to companies with years of autonomous testing data, with tens of thousands of autonomous miles between disengagements.
20/ And these actual robotaxis are not just limited to California. AV companies are deploying robotaxis all over the world.
21/ Now think back to @Waymo's 2016 disengagements by cause, & compare those situations to Tesla FSD Beta videos you have seen. Note how many times in just the videos you have seen the driver has to disengage for debris, construction zones, emergency vehicles, etc. vs. Waymo's 7.
22/ Tesla's FSD Beta software improvements do make for good YouTube content, but the rate of improvement and actual capability pales in comparison to other AV companies. This isn't about geofencing, or the cost of the components, or HD mapping, etc.
Another DeepSeek moment. This is the world’s first actual smart phone. It’s an engineering prototype of ZTE’s Nubia M153 running ByteDance’s Doubao AI agent fused into Android at the OS level. It has complete control over the phone. It can see the UI, choose/download apps, tap/type, call, and run multi-step task chains.
Here I just say (in English) “find someone to wait in line for me” (something you can do in China), and it picks which app to open, configures the job, and hands me one confirm screen. I wouldn’t otherwise know how to do this, and here the phone just did it in a matter of seconds.
This isn’t a chat overlay, it’s a true multimodal agent. It has the brand-new Snapdragon 8 Elite Gen 5 with 16GB RAM, so it can push a lot of the agentic workload on-device. Here I take a picture of a NIO battery swap station and ask, “What is this thing?” It’s running ByteDance’s Doubao model (>175M users in China): a massive, sparse MoE model with full text+vision support. It recognizes the infrastructure from the photo, grounds it to NIO’s network, and explains what it does.
Here you see the cloud + on-device split very cleanly. Doubao handles the semantics: from a single hotel entrance photo it figures out which hotel this is, that I want to book tonight, and that it will need to check the hotel’s pet policy.
Then ZTE’s 7B Nebula-GUI model (a vision model trained to understand screens) running locally on the Snapdragon 8 Elite drives the UI like a human: it picks Ctrip app, opens it, fills in dates, finds cheapest rate, reads the hotel policy on pets, and informs me I can bring a dog.
I’m at the Bay Area Semiconductor Expo in Shenzhen. A company called Qiyunfang, a subsidiary of 新凯来 (SiCarrier), just unveiled two fully domestic EDA software platforms: one for schematic and one for PCB design. Yet another Made in China 2025 success.
For context, EDA (electronic design automation) is the software backbone of chip and circuit design. Trump 2.0 tried to cut China off from it in March, forcing Cadence, Synopsys, and Siemens to halt China sales. But just weeks later, Washington quietly reversed course and lifted the ban. Then last week, Trump said the U.S. will impose export controls on “any and all critical software,” so assume EDA again. Turns out a secret team in Shenzhen had already created a solution: every core component, every bit of IP, all built domestically.
The theory in Washington was simple: if China can’t use U.S. EDA tools, it can’t design competitive chips or even advanced boards. It was meant to be another choke point on China’s entire hardware ecosystem.
Ok I can now tweet about it, the most advanced car in history is about to be unveiled. Live thread below.
This car is a really big deal for Wang. It packs so many innovations, many of his personal long-term dreams. Yangwang U7 (prototypes) has been his personal daily driver for the last year, so he is really excited. He sounds sick, probably nervous! He has had a busy month!
Here are some of the crazy examples of the tech this car is debuting
BYD just unveiled its DiSus-Z Intelligent Suspension System, debuting on the Yangwang U7. Here are five crazy examples.
1. Negative roll test maintains stability through corners
2. Active defense test
DiSus-Z is a fully electric, next-gen suspension system that replaces traditional hydraulic dampers with four highly integrated suspension motors. It can preempt side collisions by milliseconds, rapidly lifting the chassis on the impacted side to protect passengers
3. Rough terrain test
DiSus-Z can maintain remarkable stability over rough terrain, minimizing body shake and making bumpy roads feel smooth. By eliminating hydraulic fluid and directly actuating each wheel, DiSus-Z drastically reduces energy transmission losses.
I’m headed to Huawei’s Mate 70 launch event in Shenzhen (yes, Shenzhen Metro has business class). This phone/chip/OS/event is a really big deal for Chinese tech, and has big implications for US-China relations. Here’s some background.
In May 2019, the US Dept. of Commerce added Huawei and its affiliates to the Entity List, which restricted US companies (and allies) from exporting tech to Huawei. They expected this to cripple Huawei, because it wouldn't be able to acquire any semiconductors made with US tech.
The US govt assumed that by restricting Huawei’s access to cutting-edge semiconductor manufacturing equipment, particularly Extreme Ultraviolet (EUV) lithography machines from ASML, the company would be unable to produce cutting-edge chips at process nodes smaller than 10 nm. EUV lithography is crucial for efficiently manufacturing chips at 7 nm and below, utilizing light with a wavelength of 13.5 nm, which enables finer feature resolution with fewer patterning steps.
Here's the most recent satellite image, taken a few days ago. That new structure in the middle (汽车专用作业区) will connect the factory to the Zhengzhou International Land Port, which will be 50km², roughly the size of Manhattan.
The bottom right corner of the image is land being cleared for the Port's rail yard, so you can see how BYD's factory literally attaches to this massive port that will send cars to Europe, from the middle of China. BYD's factory is already way ahead of the port itself.