Lifestyle
Who knew, Tesla Autopilot has a human collision avoidance system
Tesla released arguably one of the biggest over-the-air software updates in its company history when it introduced Version 8.0 with updated Autopilot in September. Not to be confused with the more recent announcement that new Model S and Model X vehicles are equipped with next generation “hardware 2” capable of Full Self-Driving, Autopilot under Version 8.0 leveraged two-year-old hardware to issue enhancements in drivability and safety through advancements in radar signal processing.
By placing more emphasis on input from the vehicle’s forward-facing radar, Tesla Autopilot was able to detect vehicle activity from two cars ahead and better react to sudden emergency braking events. A recent test using a Model X while trailing two vehicles – the furthest vehicle would simulate an emergency braking situation – demonstrated that Autopilot was able to automatically react to activity beyond what its human driver could see.
But how does v8.0 Autopilot fare against activity from a non-vehicle – let’s say, a human obstacle? Previous tests put together by Tesla owner and YouTuber KmanAuto attempted to see just that. Using a very trusting friend, Kman was able to demonstrate Autopilot’s lack of ability to account for pedestrians when it comes to emergency braking under version 7.0.
Back at it again, and with the same friend Mike Anthony, the duo staged seven separate tests to see how the latest Version 8.0 Autopilot, using radar-based technology supplemented by the front-facing camera, was able to handle situations involving a human obstacle.
Tesla Autopilot under Version 8.0 vs. Human (Mike)
Before we jump into the results of the various tests, we’d like to note that Teslarati in no way endorses or recommends this type of stunt, or any activity of similar nature.
We’ve provided the full video here with outcome of the results summarized below. Be sure to also check out the video from Mike’s perspective.
Test 1 – Tesla @ 20 mph vs. Human in middle of lane
Description: Vehicle was able to detect Mike and gradually come to a complete stop on its own with no driver input. Display did not show an object. No human collision warning appeared.
Video of Test 1 (open link in new window to jump to test)
Test 2 – Tesla @ 20 mph vs. Human walking in front of the car
Description: Vehicle was able to detect Mike walking into the car’s path of travel and bring itself to a complete stop. As Mike walked backwards and away from the vehicle, Autopilot Traffic Aware Cruise Control (TACC) was able to keep its distance to Mike and proceed forward as Mike inched backwards.
Test 3 – Tesla @ 20 mph vs. Human walking from side of road in front of car and then off the road again
Description: Vehicle was able to detect Mike walking into the car’s path of travel and bring itself to a complete stop. As Mike walked off to the side of the road, TACC resumed.
Test 4 – Tesla @ 20 mph vs. Human walking in front of the car
Description: Same as Test 2.
Test 5 – Tesla @ 30 mph vs. Human jogging across all lanes in front of vehicle
Description: This is the first sighting of a human collision warning indicator. Vehicle detects Mike and attempts to hard brake. “In the interest of safety I helped [brake] it, the car gave me a collision alert and it also applied the brakes.”, says Kman.
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- Tesla Autopilot detects human entering from side of road and begins to Autosteer while applying brakes
Kman indicates that the vehicle likely would not have stopped in time to prevent hitting Mike but it would have severely lessened the force of impact and possibly lessened the severity of human injury.
Test 6 – Tesla @ 25 mph vs. Human walking in front of the car
Description: Vehicle was able to detect Mike walking into the car’s path of travel and bring itself to a sudden stop and avoid impact.
Test 7 – Tesla @ 35 mph vs. Human standing directly in front of moving car
Description: Vehicle was able to detect Mike standing before the car and bring itself to a quick stop though no visual warning was seen on the display. It would appear the human collision warning only appears with objects that are non-stationary and enter the vehicle’s path of travel.
Conclusion
The test demonstrates Tesla’s remarkable ability to continuously improve upon its Autopilot suite of features through changes to its set of algorithms driven largely by data collected through the company’s fleet learning program. The test is also significant in that Tesla was able to dramatically improve the safety on its vehicles – now capable of performing emergency braking events when a human is detected – purely over-the-air and with no hardware improvements whatsoever.
With Autopilot 2.0 consisting of seven more cameras and enhanced long range sonar sensors fed from billions of miles worth of driving data, it’s not a question of if Tesla can reach full Level 5 autonomy, but one of when.
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.
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.
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