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E-Book Review: “Owning Model S” – The Definitive Guide to Buying and Owning the Tesla Model S
Nick Howe’s “Owning Model S” book has been receiving rave reviews from Model S owners and enthusiasts worldwide. But despite the temptation to purchase it, I held off on buying the paperback because I’ve been waiting for the e-book version. Well it’s finally here and I’m ecstatic to be reviewing it.
The e-Book
I consider myself pretty well read on the Model S from browsing through forums and blogs, but what surprised me most about ‘Owning Model S’ was that there was an abundance of hidden tips and useful information on the Model S that I never knew about. Not only is the book rich with content and contains excellent narratives, diagrams and pictures, but it’s also really well structured.
Forums are great for an interactive social discussion and you have the patience to comb through the noise, but they can drive you crazy if you’re just trying to find a specific piece of information! The book reads really well from front to back and also serves as a great reference guide. The sections are laid out in a very organized manner which allows you to quickly find the information you’re looking for.
As $16.95 the book may run a bit pricier than other traditional e-books, but given the considerable amount of time that went into the research and production of the book, I think it’s worth every penny.
e-Book Benefits
I usually install my e-book on multiple devices ranging from my desktop computer, a laptop computer, my iPhone 5 (and later 6) and my iPad mini. My e-books can be read on many popular devices. Having this type of access allows me to read it wherever I am and regardless of my device.
e-Books also come with a quick search capability that your traditional paperback doesn’t have. With the e-book you’re able to search by keyword and jump directly to the information you need. Much like a physical book you can also highlight sections of the book and mark key pages. The images in ‘Owning Model S’ are in high quality so you’re able to pinch zoom without it being distorted.
I made the move to all e-books years ago for many of the reasons above and I think the e-book format is the only way to go.
e-Book Challenge
No “Copy” in this e-book
Authors like Nick Howe have to be concerned about people copying his work and distributing it freely. That means Nick needed to protect his work through a Digital Rights Management (DRM) system. I’ve never published an e-book before but one thing I do know is that it’s possible to get published on the Amazon Kindle store. Considering Amazon provides readers for all platforms including one of the most popular e-book readers in the world, it’s hard to understand why ‘Owning Model S’ did not go down this path, thus limiting itself to distribution and convenience for its readers.
For “Owning Model S” they went with an Adobe DRM format that requires a special e-book reader you’re not likely to have used before. The process for getting the reader involves registering an account with Adobe (many people won’t have accounts with Adobe before this), downloading the reader (not by Adobe if on a mobile device) and finally opening the encrypted book which you should have received via email after purchasing online from EVAnnex. You’ll have to repeat this set up using the special reader on every device that you intend on using.
It’s confusing and it’s a pain. But to their credit, they do provide helpful instructions on how to move through the process. Amazon Kindle is unfortunately not supported, and don’t even think about reading this from your Model S 17″ touchscreen.
Other features missing from the reader is the ability to synchronize your read position across devices and the ability to select and copy text. Another really odd feature or lack thereof is the ability to click on URLs. And since you can’t copy text, there’s no way for you to copy the URL and paste it into a browser.
Ultimately, ‘Owning Model S’ is one of the most comprehensive guides for the Model S and a must have by all owners. I would love to see Nick put the book on the Amazon store one day and open distribution up to more devices and potential readers.
The Model S is an amazing feat of technology, but you don’t have to be a geek to drive it. That said, you shouldn’t have to be a tech savvy geek to be able to read about it either.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
