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Who knew, Tesla Autopilot has a human collision avoidance system

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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.

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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.

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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.

Video of Test 2

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.

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Video of Test 3

Test 4 – Tesla @ 20 mph vs. Human walking in front of the car

Description: Same as Test 2.

Video of Test 4

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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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.

Video of Test 5

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.

Video of Test 6

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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.

Video of Test 7

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.

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Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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Elon Musk

The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

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The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

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Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

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Tesla unfolded its first European “folding Supercharger”

Tesla’s folding Supercharger just arrived in Europe and it changes how fast charging expands.

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Tesla’s Folding Unit Supercharger has officially landed in Europe, with the company teasing a new installation in its effort for a broader rollout targeting major motorway rest stops across the European continent in Q3 2026. The arrival marks a notable shift in how Tesla is thinking about network expansion, moving from hardware performance alone to engineering the logistics chain itself.

While Tesla did not reveal the exact location for the new folding Supercharger in Europe, the photo shared on X heavily suggests that this maybe somewhere in Norway. Historically, whenever Tesla rolls out an entirely new infrastructure architecture in Europe, whether it was the original Supercharger stalls years ago or these brand-new modular V4 “Folding Units”, Norway is almost always the designated launch pad because of its unmatched EV adoption rate and supportive infrastructure

The Folding Unit, introduced in March 2026, is a factory pre-assembled V4 charging station built on an industrial hinge system mounted to a heavy-duty concrete base. The entire assembly arrives on site ready to unfold and connect. Tesla confirmed the units feature telescopic light poles specifically designed for easy transportation and fast on-site deployment, a detail that signals how carefully the logistics chain has been engineered alongside the hardware itself. The design allows 33% more stalls per delivery truck, cuts installation time roughly in half, and reduces overall deployment costs by more than 20% compared to traditional installations.

Tesla’s newest “Folding V4 Superchargers” are key to its most aggressive expansion yet

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Tesla also noted telescopic light poles which provide benefits over traditional Supercharger installations that require fixed-height poles that are awkward to ship, slow to position on site, and often require separate crews and equipment to erect before charging hardware can even be staged. By engineering poles that compress for transit and extend on arrival, Tesla has removed one of the quieter bottlenecks in the physical deployment process. Every hour saved on a light pole installation is an hour redirected toward getting stalls energized. At scale, across dozens of new sites per quarter, those hours add up to a meaningful acceleration in how quickly a location goes from approved permit to serving its first customer.

Each Folding Unit pairs a single V4 power cabinet with eight charging posts. The V4 cabinet delivers up to 500 kW per stall for passenger vehicles and up to 1.2 MW for the Tesla Semi, supporting twice the stalls per cabinet at three times the power density of its predecessor. Longer cables make every new station immediately usable by non-Tesla vehicles, a priority as Tesla continues opening its network to Ford, GM, Rivian, Hyundai, Stellantis, and others.

As Teslarati reported when the Folding Unit was first unveiled, Tesla’s Gigafactory New York produced its final V3 Supercharger cabinet in March 2026 after more than seven years and 15,000 units, completing a full pivot to V4 production. The European arrival of the folding design is the next chapter in that transition.

Faster and cheaper deployment means Tesla can justify building in markets and corridors that were previously too expensive to serve, filling the coverage gaps that have slowed EV adoption outside major urban centers.

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Elon Musk

SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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