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Tesla FSD Beta 10.7 gets one-pedal driving, smoother slowdowns

Credit: @muranosky/Twitter)

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Tesla may be targeting the release of FSD Beta 10.8 on Tuesday together with the company’s fun Holiday Update, but this has not stopped the EV maker from releasing FSD Beta 10.7 this past weekend nonetheless. And despite its impending quick replacement with v10.8, v10.7 seems to include a number of key updates that make the advanced driver-assist system smoother to operate. 

Immediately recognizable from v10.7’s detailed Release Notes was that vehicles could now react to things quite a bit faster. With v10.7, FSD Beta would also be less likely to slow down due to bad readings from other cars and objects on the road. Also, the aggressiveness of FSD Beta seems to have been toned down to some degree, with the system now rolling and stopping smoothly for jaywalkers, instead of slamming on the brakes. 

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Perhaps most interestingly, however, was that FSD Beta 10.7 also effectively enables one-pedal driving by expanding the use of vehicles’ regenerative braking systems. This should make stops smoother while keeping the physical brakes as infrequently used as possible. This update would likely be a welcome change, as conversations in the r/TeslaMotors subreddit among FSD Beta testers suggest that some users are annoyed by the system’s use of physical brakes in past iterations. 

The following are the specific Release Notes for Tesla’s FSD Beta 10.7. 

FSD Beta v10.7 Release Notes

– Improved object attributes network to reduce false cut-in slowdowns by 50% and lane assignment error by 19%.

– Improved photon-to-control vehicle response latency by 20% on average.

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– Expanded use of regenerative braking in Autopilot down to 0 mph for smoother stops and improved energy efficiency.

– Improved VRU (pedestrians, bicyclists, motorcycles, animals) lateral velocity 1 error by 4.9% by adding more auto-labeled and simulated training examples to the dataset.

– Reduced false slowdowns for crossing objects by improved velocity estimates for objects at the end of visibility.

– Reduced false slowdowns by adding geometric checks to cross-validate lane assignment of objects.

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– Improved speed profile for unprotected left turns when visibility is low.

– Added more natural behavior to bias over bike lanes during right turns.

– Improved comfort when yielding to jaywalkers by better modeling of stopping region with soft and hard deadlines.

– Improved smoothness for merge control with better modeling of merge point and ghost objects positioned at the edge of visibility.

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– Improved overall comfort by enforcing stricter lateral jerk bounds in trajectory optimizer.

– Improved short deadline lane changes through richer trajectory modeling.

– Improved integration between lead vehicle overtake and lane change gap selection.

– Updated trajectory line visualization.

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While FSD Beta 10.7 seems quite impressive, Elon Musk has noted that v10.8 would probably be released this coming Tuesday, together with the company’s Holiday Update. Tesla’s Holiday Updates are typically comprised of fun additions to vehicles’ features such as games and tricks like the external boombox.

This time around, however, it appears that the company is ensuring that its Holiday Update brings more functionality to its ever-expanding group of FSD Beta testers. These include the capability of FSD Beta to work with other features such as Waypoints, a function that was confirmed by Musk on Twitter. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX weighs Nasdaq listing as company explores early index entry: report

The company is reportedly seeking early inclusion in the Nasdaq-100 index.

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Credit: SpaceX/X

Elon Musk’s SpaceX is reportedly leaning toward listing its shares on the Nasdaq for a potential initial public offering (IPO) that could become the largest in history. 

As per a recent report, the company is reportedly seeking early inclusion in the Nasdaq-100 index. The update was reported by Reuters, citing people familiar with the matter.

According to the publication, SpaceX is considering Nasdaq as the venue for its eventual IPO, though the New York Stock Exchange is also competing for the listing. Neither exchange has reportedly been informed of a final decision.

Reuters has previously reported that SpaceX could pursue an IPO as early as June, though the company’s plans could still change.

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One of the publication’s sources also suggested that SpaceX is targeting a valuation of about $1.75 trillion for its IPO. At that level, the company would rank among the largest publicly traded firms in the United States by market capitalization.

Nasdaq has proposed a rule change that could accelerate the inclusion of newly listed megacap companies into the Nasdaq-100 index.

Under the proposed “Fast Entry” rule, a newly listed company could qualify for the index in less than a month if its market capitalization ranks among the top 40 companies already included in the Nasdaq-100.

If SpaceX is successful in achieving its target valuation of $1.75 trillion, it would become the sixth-largest company by market value in the United States, at least based on recent share prices. 

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Newly listed companies typically have to wait up to a year before becoming eligible for major indexes such as the Nasdaq-100 or S&P 500.

Inclusion in a major index can significantly broaden a company’s shareholder base because many institutional investors purchase shares through index-tracking funds.

According to Reuters, Nasdaq’s proposed fast-track rule is partly intended to attract highly valued private companies such as SpaceX, OpenAI, and Anthropic to list on the exchange.

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The Boring Company’s Prufrock-2 emerges after completing new Vegas Loop tunnel

The new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

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Credit: The Boring Company/X

The Boring Company announced that its Prufrock-2 tunnel boring machine (TBM) has completed another Vegas Loop tunnel in Las Vegas. The company shared the update in a post on social media platform X.

According to The Boring Company’s post, the new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

The new tunnel marks the fourth tunnel constructed near Westgate Las Vegas as the Vegas Loop network continues expanding across the city.

The Boring Company also noted that the new tunnel surpassed its previous internal record of 2.26 miles for a single Vegas Loop segment.

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Construction of the tunnel involved moving roughly 68,000 cubic yards of dirt. The excavation process also used about 4.8 miles of continuous conveyor belt, powered by six motors totaling 825 horsepower.

The Boring Company’s Prufrock-series all-electric tunnel boring machines are designed to support the rapid expansion of company’s underground transportation projects, including the growing Vegas Loop network. Prufrock machines are designed for reusability, thanks in no small part to their capability to be deployed and retrieved easily through their “porposing” feature.

The Vegas Loop, specifically the Las Vegas Convention Center (LVCC) Loop segment, has already been used during major events. Most recently, the LVCC Loop supported the 2026 CONEXPO-CON/AGG construction trade show, which was held from March 3-7, 2026. 

As per The Boring Company, the LVCC Loop transported roughly 82,000 passengers across the convention center campus during the event’s duration. 

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CONEXPO-CON/AGG is one of the largest construction trade shows in North America, drawing more than 140,000 construction professionals from 128 countries this year.

The LVCC Loop forms the initial segment of the broader Vegas Loop network, which remains under active development as The Boring Company continues building new tunnels throughout the city.

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Tesla gathers Cybercab fleet in Gigafactory Texas

Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.

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Credit: Credit: @JoeTegtmeyer/X

Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.

The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.

Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.

The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.

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Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.

The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.

The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.

Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.

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Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.

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