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Electric trucks from large to small vital to Tesla’s Master Plan

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9 years ago

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https://www.facebook.com/CarsByKris/?fref=ts
Source: Truck Trend via Kris Horton (www.carsbykris.com)

It all goes back to Elon Musk’s original secret Master Plan from 2006, when the billionaire entrepreneur issued his famous vision of the future: “[T]he overarching purpose of Tesla Motors (and the reason I am funding the company) is to help expedite the move from a mine-and-burn hydrocarbon economy towards a solar electric economy, which I believe to be the primary, but not exclusive, sustainable solution.”

Musk made an executive decision right from the beginning to target customers whose opinions influence others by building premium electric cars that would make people sit up and take notice. Until Tesla came along, electric cars were little more than glorified golf carts. But if Tesla is going to make significant progress toward its ultimate goal, it is going to have to make electric trucks as well as passenger cars. Trucks are responsible for about 50% of all emissions created by the transportation sector according to the EPA. It’s no wonder Musk’s follow up plan calls for a zero emissions Tesla targeted at the mid to heavy duty truck segment.

The Tesla Plan

“In addition to consumer vehicles, there are two other types of electric vehicle needed: heavy-duty trucks and high passenger-density urban transport. Both are in the early stages of development at Tesla and should be ready for unveiling next year,” outlines Musk in his Master Plan Part Deux.

Aaron Turpen previously gave us an excellent analysis of what characteristics a Tesla pickup would need to have in order to be successful. He set out in detail what Tesla would need to do to build such a truck.

  • V8-like performance including roughly 400 hp and 380 lb-ft
  • Extended and four-door cab offerings
  • Cargo bed size of 5.5 feet with option for 7 feet
  • Towing capacity of about 10,000 pounds
  • Payload capacity of 1/2 ton to 3,000 pounds
  • 4×4 capability
  • Driving range, under load, of at least 150 miles
  • Conventional styling and appeal

How is Tesla going to make batteries with the energy and power needed to move such heavy vehicles? The Powerwall may offer clues. Just one year after it was introduced, Tesla brought its second generation version to market with roughly double the capacity of the original. Tesla doesn’t reveal very much about its ongoing battery research programs, other than to say that improvements of between 5 and 7 percent a year are anticipated as it ramps up production at the Gigafactory.

One assumption is that batteries for trucks will be significantly different from those used on its passenger cars, with more focus on energy and less focus on power. While a Tesla pickup that breaks the 3 second 0-60 barrier would be very cool, that sort of acceleration would have little relevance to how a truck gets used in daily driving.

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When it comes to trucks that haul freight, it’s possible that the company has some sort of battery swapping plan in mind at truck stops along major transportation routes. Another approach would be to simply swap tractors at designated service areas much the way Formula E drivers swap cars during a race. Tesla could own the trucks and lease them to freight companies. The idea is as old as the Pony Express.

What About The Competition?

While Tesla is busy planning its truck strategy, other companies are chasing the same low emissions dream. Most of them rely on some form of range extender engine to build a truck that has low emissions but is cost competitive. The most promising of those ventures may be from Workhorse, which claims it will have a full size plug-in hybrid pickup truck with dual motors on the market by 2018. It uses the two cylinder range extender engine from the BMW i3 REx to provide electricity to the battery when needed. A rendering of the truck by Australia’s Motoring shows a truck that is purposeful rather than svelte in its design.

Workhorse pickup truck

Delivery and cargo vans are another target market. Four large cities — Mexico City, Paris, Madrid, and Athens — announced their intention to ban all diesel powered vehicles from their streets by 2025. Many of the medium duty trucks used to deliver food and consumer goods to city dwellers are powered by diesel engines, especially in Europe.

Deutsche Post, known globally as DHL, is one of the largest parcel delivery companies in the world. It is working hard to reduce its carbon footprint but could not find an all electric van suitable for its needs. So it built its own. “We designed it as a tool. So the fit and finish does not need to be as good as in a passenger car,” Win Neidlinger, director of business development at Deutsche Post tells Fortune. “It did not cost billions to develop and produce. You will not believe how cheap it is to make.” The company now plans to become a manufacturer and start selling the vans, which it calls StreetScooters, to customers in 2017.

DHL electric truck

Photo credit: Deutsche Post

UPS is also in the delivery business and is a world leader in testing alternative fuels and alternative powertrains in its trucks. It has invested more than $750 million in alternative fuel and advanced technology vehicles since 2009. UPS now has 7,700 low emission vehicles in its “rolling laboratory” test fleet and is evaluating vehicles that run on natural gas, renewable natural gas, and propane according to Electric Cars Report.

It also is using electric powertrains in some of its vehicles. A version of the Workhorse plug-in hybrid range extender system is being tested in several of its delivery vans. It is also thinking small when it comes to what is known in the industry as the “last mile” conundrum. How do companies like UPS create nimble, zero emissions vehicles that can access congested urban areas? One solution being tried in Hamburg, Germany and Portland, Oregon is a hybrid electric tricycle called the eBike. It has a battery and electric motor and can move using pedal power, electric power, or a combination of both.

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UPS eBike

Photo credit: UPS

Some of the biggest polluters are garbage and trash hauling trucks. Because the stop and start hundreds of times a day, their diesel engines are constant spewing toxic pollutants into the atmosphere. While their total numbers are small, they discharge a disproportionate amount of emissions to the atmosphere. Taming the emissions from beasts would be an important step forward.

Ian Wright, a Tesla co-founder and former board member, thinks he has a solution. His company, Wrightspeed, builds heavy trucks powered solely by electricity but with a twist. Wright and his engineering staff have invented a small natural gas powered turbine that acts as a range extender engine. He claims his turbine operates so cleanly, it does not require a catalytic converter to meet California’s strict tailpipe emissions laws.

Salt Lake City start-up Nikola Motors recently revealed its idea for a 1000 HP low emissions electric truck called the Nikola One. Sleek and futuristic, it relies on battery power to turn its six electric motors but also has an onboard hydrogen fuel cell that is says will give the tractor  a range of 800 to 1000 miles. The company says it has over a billion dollars worth of reservations in hand. While it did present a full size prototype at the reveal, many are taking a wait and see attitude toward Nikola Motors, which has no factory at the present time but claims it will begin production in 2018.

Summary

Trucks will play an important role in reducing global emissions from the transportation sector. A recent report from Navigant Research predicts annual sales of electric trucks — including hybrids and plug-in hybrids — will increase by a factor of ten over the next decade. From 31,000 worldwide today, Navigant says more than 332,000 electric trucks will be sold annually by 2026. That’s a big market for manufacturers to target.

Tesla has refused to consider any sort of range extender device for its cars, but solving the problems of building low emissions trucks for delivering freight and cargo across long distances may make such things a necessity. The need is great and the time is short. If hybrid trucks are what are needed, even as a stop gap measure while battery technology catches up with energy and cost constraints, that would be important for a world struggling to limit carbon emissions.

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Tesla will let you bring back this removed Model 3 part for a price

It will cost $595 and is available on Tesla’s website. You will have to have a Model 3 on your Tesla account to purchase the stalk retrofit kit.

Published

1 hour ago

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October 8, 2025

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Credit: Tesla Asia/X

Tesla is now letting Model 3 owners in the United States bring back one part that the company decided to remove after it refreshed the all-electric sedan last year. Of course, you can do it for a price.

With the Model 3 “Highland” refresh that Tesla launched last year, one of the most monumental changes the company made was to ditch the turn signal stalk altogether. Instead, Tesla opted for turn signal buttons, which have been met with mixed reviews.

I drove the new Tesla Model 3, here’s what got better

The change was widely regarded as Tesla preparing for more autonomous driving in its vehicles, especially as its interiors have gotten even more minimalistic.

The lack of a stalk in the new Model 3 was just another move the company made to adjust drivers and passengers to seeing less at the steering wheel column.

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However, many drivers did not prefer the use of buttons and wanted the stalk reinstalled. Tesla allowed it in several regions, launching a retrofit kit. It has now made its way to the United States:

It will cost $595 and is available on Tesla’s website. You will have to have a Model 3 on your Tesla account to purchase the stalk retrofit kit.

It is interesting to note that despite Tesla’s strategy to remove the stalk with the new Model 3, which was released in early 2024, the company did not choose to make the same move with the new Model Y.

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The new Model Y launched in the United States in early 2025, and Tesla chose to install a stalk in this vehicle.

It seemed as if the turn signal buttons were too much of a polarizing feature, and although the company technically could have given orderers an option, it would not have been the most efficient thing for manufacturing.

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Tesla Full Self-Driving v14.1 first impressions: Robotaxi-like features arrive

Tesla Full Self-Driving v14.1 is here, and we got to experience it for ourselves.

Published

2 hours ago

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October 8, 2025

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Tesla rolled out its Full Self-Driving v14.1 yesterday, its first public launch of its most robust and accurate FSD iteration yet. Luckily, I was able to get my hands on it through the Early Access Program.

The major changes in FSD v14.1 were revealed in the release notes, which outline several notable improvements in areas such as driving styles, parking, and overall navigation. Here’s what Tesla outlined fully in its release notes:

  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

I wanted to try it for myself. My big must-dos were my complaints with v13.2.9, which included parking when arriving at a destination, Navigation when leaving a destination, and definitely a general improvement in the car traveling at an acceptable rate of speed, even when using the “Hurry” driving style.

Here’s what I noticed with the new Full Self-Driving v14.1:

Speed Profiles are More Realistic

I am driving on “Hurry” about 95% of the time when utilizing Full Self-Driving. In past versions, most notably v13.2.9, my Tesla would slowly reach the speed limit, and it would tend to hang out at about 1-2 MPH either above or below it.

My first observation with v14.1 was the vehicle’s tendency to get right up to speed and, since I was still on Hurry, drive slightly above the speed limit. It never got out of line; it traveled at speeds I would typically drive at manually.

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I think this is a big improvement on its own, because I felt that I was pressing the accelerator too frequently in past FSD versions. Oftentimes, it just wasn’t going fast enough to justify the “Hurry” label; it felt more conservative and more like a student driver than anything.

Check it out:

This was among my favorite improvements, and it was the first thing I noticed as the car navigated me to the Supercharger, where my next positive is.

Navigating into parking lots, self-parking at Supercharger

One of the changes noted in the Release Notes was the addition of Arrival Options, which allows the car to select the appropriate parking situation. Since I was going to charge, the car had already chosen “Charger” as the parking option.

Pulling into a gas station or convenience store, especially during work days, can be stressful, as they are usually congested and full of foot and vehicle traffic. In past FSD versions, I have noticed the car being slightly “jumpy” and even hesitant to proceed through the lot.

Driving through parking lots was a noticeable improvement. It seems as if the car is much more confident in making its way through, while still being aware and cautious enough to safely navigate to the Supercharger.

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It then backed straight into a Supercharger stall, which was recently repaired and is once again active. I was actually upset it chose this specific stall because it had been inactive for a while. However, Tesla got this stall back up and running, the car chose it, and backed into the spot flawlessly:

This was super cool to experience, and I think it is a testament to how hard the Tesla AI team has worked. CEO Elon Musk recently stated that FSD would enable automatic parking at Superchargers, which was really awesome to experience firsthand.

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I decided to leave the Supercharger and go to an auto parts store to pick up some interior cleaner and some microfiber towels. I love keeping my Tesla clean!

I also thought it would be a great opportunity to see how it would react to another parking lot, how it would navigate it, and let it choose a parking spot. It did it all flawlessly:

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I had zero complaints about everything here. All of it was done really well.

Making a choice after being caught in the middle of an intersection

I arrived at a tight intersection in Dallastown, PA, and what my car did next has catalyzed quite a conversation on X.

It proceeded out into the middle of the intersection as the light was green. It had to yield to oncoming traffic, and while waiting, the light turned yellow, then red.

Most people, including myself, would have turned right and proceeded through the intersection since the car was already past the line. However, FSD chose to back up and wait for the next light cycle, which I felt was also a more than acceptable option:

There are some conflicting perspectives on what it chose to do here. Some said they would have proceeded and would want FSD to also proceed. I can agree with that perspective, but I also think it is not the worst thing in the world to back up. In Pennsylvania, I couldn’t find the exact law that says what is right or wrong. Instead, I did see that a left turn on red is only feasible when you’re going from a One-Way street to another One-Way.

I’m not totally sure what is “correct” here, but I think either option is fine. I have personally done both, and I’ve seen other drivers do both. I was more than fine with the car doing this, and I was honestly impressed that it did.

Navigated a busy grocery store lot, found suitable parking

This is not the busiest my local grocery store gets, but it was still congested enough for me to be impressed.

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FSD decided to do one loop in the parking lot before it found a spot that it felt was good enough for me. I was perfectly fine with where it chose to park, and I thought it did a really great job. I was impressed with how stress-free I felt, as I have noted in the past that parking lots are definitely an area where Tesla needs to improve.

I was happy with its performance:

Strange right turn signal as if it saw an emergency vehicle

This was the first bug I noticed with FSD v14.1. While traveling on a local road, it put the right turn signal on and approached the curb as if it was pulling over for an emergency vehicle or as if it was going to park on the street.

It then realized its mistake and proceeded:

I’m not super sure what caused this, but I was a tad bit confused. There were no police cars, ambulances, or anyone with flashing lights to my rear. There was a dump truck on the other side of the road, and I almost felt like the way it navigated “around” that was probably what triggered it.

Navigation is still making strange decisions

I’ve written about navigation and my discontent with some of its decisions. It seems v14.1 didn’t resolve much of anything with navigation, and it did a couple of things wrong.

The first was that it tried to take the illogical and pointless path out of the Supercharger. I wrote about this a few days ago, as FSD tried to take my car the wrong way.

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It did it again, but I overrode the decision, and it was all okay:

This is a minor issue, but it is still pretty frustrating. Hopefully, the navigation will learn after performing this adjustment after enough times.

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The next navigation issue was more frustrating than the Supercharger one, especially considering it completely ignored the route. The navigation had the vehicle very clearly heading straight, but out of nowhere, the right turn signal went on. I overrode it, but the car still turned right, ignoring the navigation completely:

I ended up taking over here and driving until I could get to a stop sign.

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Final Thoughts

I am really impressed with all of the changes Tesla made with FSD v14.1, and while there were a handful of bugs, things were tremendously better than v13.2.9.

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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

Published

5 hours ago

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October 8, 2025

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Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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