Lifestyle
Tesla Model S Pulls 1.2 G-Force on the Most Challenging Track Yet
Even with 7 different tracks under our belt, Sonoma Raceway pushed the 48 Tesla Model S to the extreme limits.
This turned out to be the most challenging track we’ve ever raced on. Hardly anything comes close in terms of danger and complexity. Not only is the layout of the course challenging in itself, having walls everywhere added an even greater degree of difficulty. We were happy to have survived the track by not hitting any walls despite having loss control on several occasions.
The Track
Sonoma, formerly Infineon Raceway, is in Northern California, just half an hour north east of San Francisco. It’s a 2.5 mile very technical road course with 12 turns and 160 feet of elevation changes. The track has retaining walls very close to the track so any loss of control can have very serious consequences.
The Tesla Model S
Following correct race lines was of outmost importance on this track and deviating from it could mean sub-optimal times or even loss of control.
Track
- Turn 1: We experienced something alarming right in the middle of turn 1 where the track goes uphill. Our steering wheel locked-up after 1 G of lateral pressure was applied to the front wheels on-camber into the turn.
- Turn 2: More off-camber than it appears, and we ended up sliding there a couple of times. Following the correct racing line and applying acceleration on track out prevented that from happening.
- Turn 3a: Exhilarating! Takes place right over a hill so you can’t really see where you’ll end up on track out. It was fun to be able to follow our instincts and exit within inches off the edge of the track.
- Turn 6 “the carousel”: Pushed our Model S to the upper suspension limits as we pulled a 1.1 to 1.2 lateral G force through the turn without loss of control.
- Turns 8 and 8a: Extremely tricky. The turn appears like a regular S but the slight elevation and camber changes make it a challenge. On exit of 8a, we had to apply a lot of acceleration because without it the Model S will slide sideways until traction control catches it.
- Turn 10: Not technically challenging but a true test of courage since it’s very close to the wall.
Out best lap time was 2:06 in session 3, lap 1. Top speed we reached on the track was 105 mph. Power limitation degraded lap times by approx. 6 seconds per lap.
Charging and Power Consumption
The track has a single 220V/50A outlet at the end of the garage next to the Sunoco fuel station. It had a male twist-on adapter, but unfortunately all we had was a SS2-50P male adapter that we weren’t able to use with the outlet. No RV hookups onsite. We ended up running for two sessions in the morning, going to Vacaville supercharger that’s 37 miles away, and getting back with enough time to complete 2 afternoon sessions. Inn Marin hotel in Novato 10 miles away has a J1772 ChargePoint network charger that we used overnight.
Power consumption was similar to other tracks. The 48 Tesla Model S consumed approximately 4 miles of range per 1 actual mile of distance. A 7 lap session (5 timed laps, 1 warm-up, and 1 cool-down lap) consumed 80 miles of range.
Power limitation due to overheating came up on the first lap despite chilly 55 degree temperature in the morning. Power limitation remained at 160 kWh/mile for most of the day.
Travel
Travel from San Diego to Sonoma took 11 hours, including four 45-minute charging stops in San Juan Capistrano, Tejon Ranch, Harris Ranch, and Gilroy.
ALSO SEE: Interactive Tesla Supercharger Map
Contrary to last year when we were hoping to run into other Tesla owners at a Supercharger, nowadays every supercharger was full when we arrived. Even the newer Supercharger facilities were 7+ stalls were occupied. It makes us wonder what the charging experience will be like as Tesla Motors continues to scale out production of the Model S and upcoming Model X.
| Vacaville Supercharger | Tejon Ranch Supercharger |
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Elon Musk
How to use Grok Bot to block spam calls and texts
Musk told users to ask Grok Bot to scrub their phone numbers from spam lists.
Elon Musk has a new use case for Grok Bot, and it is the spam call. On Thursday he replied to an X user named Arash with a short instruction: “Ask your @Grok @Bot to remove your phone number from spam call & text lists!” Arash had said he got tired of the calls, had an AI bot find his number on listing sites and file removal requests, and packaged the process as a free skill for others.
The skill is called Spam-Call Scrubber, which is described to find a phone number on people search sites and data brokers, submits the opt outs, completes the confirmation emails those sites send back, and rechecks on a schedule the user picks. Using it requires the Grok Bot app. The pitch is time saved, since most broker opt outs sit behind separate forms on separate sites.
Ask your @Grok @Bot to remove your phone number from spam call & text lists!
— Elon Musk (@elonmusk) October 15, 2026
Musk said Grok Bot now gives each bot its own email address, and that it can detect scam emails. On Thursday he also said SpaceX would make users whole if the bot botches a purchase or leaks a card, then told users to shop away from Amazon after the retailer blocked the agent, as Teslarati reported. The terms of service we reviewed at the time put responsibility for what an agent does on the user.
For Tesla owners, Grok Bot is not just a phone app. Tesla brought Grok Bot into its vehicles on September 22, and we argued earlier this week that the Cybercab’s real advantage may be the errands it runs during a ride. Every Cybercab and the rest of the Model Y Robotaxi fleet has it enabled. The more routine tasks like this one become, the more a rider has reason to hand over something personal in the back seat.
The new Spam-Call Scrubber skill can be downloaded for free and works on sites that honor removal requests, while noting that listings can reappear, and illegal robocallers do not check any registry. Whether Spam-Call Scrubber cuts anyone’s call volume is something the first wave of users will find out, and Musk’s endorsement guarantees that wave is coming.
Lifestyle
Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service
For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.
Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.
Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.
Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant
Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.
This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?
If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.
What do you think? Leave me a comment.
Lifestyle
Tesla’s mirrorless Cybercab will give riders a visibility upgrade
Tesla engineer confirms Cybercab update letting riders pull up rear and repeater cameras on demand.
Tesla is working on a Cybercab update that would let passengers pull up the vehicle’s rear and side cameras on demand, and the request came straight from a rider.
The exchange played out on X late Friday. Cybercab rider Dan Burkland shared photos of the two-seater’s cabin screen after an evening ride, praised the UI team’s work, and left one request: let riders open the rear and repeater cameras whenever they want, “especially for peace of mind.” Tesla UI software engineer Evan (@CarCoder) answered with two words: “In development.”
The Tesla UI team absolutely crushed it with the infotainment software. Nicely done @CarCoder!
One feature request: Allow folks to pull up the rear & repeater cameras on demand. This would be great especially for peace of mind. https://t.co/mNAOSLx6pE
— Dan Burkland (@DBurkland) October 10, 2026
The idea fits a pattern Teslarati has tracked since public rides began. Days after paid Cybercab service opened in Austin, Tesla sent riders a survey that asked them to rate the touchscreen, the app and the cabin, and to pick the features they wanted most. We reported on that survey in September, and a camera view is the kind of small software change Tesla can push quickly if riders keep asking.
It also speaks to something unique about the vehicle. With no steering wheel, no pedals and no driver, passengers have no mirror to check and no way to see behind them. The hardware is clearly built for camera awareness, from the repeater cameras to the rear camera. Letting a passenger look through those same cameras would give a nervous first time rider a way to confirm what is around the car.
The timing matters because the fleet is growing fast. Tesla’s Robotaxi account said on Saturday that more than 300 Cybercabs are now serving Austin, an eightfold increase in 30 days, and Tesla AI chief Ashok Elluswamy named Dallas as the next city. More cars and more cities mean more people riding in a driverless vehicle for the first time, which is exactly when small trust features carry weight.
For now, the feature is confirmed only as in development. If Tesla follows its usual pattern with Cybercab software, riders could see it appear in a point release without any announcement, and Teslarati will watch for it.








