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Elon Musk pledges $1 million to #TeamTrees viral tree-planting initiative

The TeamTrees.org organizers promoting an initiative to raise $20 million to help The Arbor Day Foundation plant 20 million trees gain support of Elon Musk in the form of a $1 million donation. (Youtube/Teslarati)

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In May of 2019, popular YouTube creator “MrBeast” – real name: Jimmy Donaldson – reached 20 million subscribers. His followers quickly challenged him to plant as many trees as he had followers. In response, the YouTuber did what YouTubers do best: formed a collaborative effort of other well known YouTubers and legitimate foundations to crowdfund a viral challenge. The viral challenge has been so successful in just four days that it now has the backing of Tesla and SpaceX CEO Elon Musk.

With the help of multiple partners, Donaldson paired up with The Arbor Day Foundation to create a fundraising campaign that would plant 20 million trees. TeamTrees.org was created and went live on Oct. 25th following an announcement video posted to the MrBeast Youtube channel. As stated on the site’s FAQ page, the organizers have promised all donors that “for every dollar you donate, one tree will be planted in a forest of high need around the world.”

In just four days the TeamTrees.org official Twitter account has garnered nearly 12 thousand followers when the challenge first caught the eye of Musk. Donaldson posted an update that “almost 6 million” trees had been planted accompanied by a screencap of what just 5,000 trees appeared as in the popular online game “Fortnite.” Musk responded “sounds cool,” but wanted more information and asked, “where are the trees being planted & what kind of trees?”

Of course, it comes as no surprise that the prospect of planting 20 million trees piqued the interest of the billionaire that founded Tesla. Musk has long been a supporter of the premise that electric vehicles could help reduce emissions and preserve the earth of the future. Combining an initiative to save Mother Earth by planting trees and using Fortnite as a visual reference was as genius as it could get to guarantee to grab the billionaire’s attention.

The factor that really drove it home was an almost immediate response by the influential tech review Youtuber, Marques Brownlee. Brownlee, who has had the opportunity to interview Musk at a Tesla factory, responded by linking the billionaire directly to the TeamTrees.org website. Musk then, almost as immediately, pledged to “donate 1M trees,” in other words, donate $1 million to the cause.

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Musk’s promised donation quickly gained appreciation all over the internet. The official Youtube Twitter account soon confirmed the legitimacy of Musk’s pledge. Then, larger than life social media platform – owned by parent company Google – promised to match every one of the following million donations to keep the support of TeamTrees.org going.

While pledging to plant 20 million trees is surely an effort in the right direction of combating global climate change, it may be just a drop in a bucket. As suggested in a fortuitous and completely unrelated article, WIRED.com suggests that more than just planting trees would need to be done in order to really address the issue of excess carbon in the atmosphere. An overarching theme of the article is that “seedlings and fancy agriculture” won’t even make a dent in the issue if emissions aren’t reduced.

“It’s possible to imagine agriculture as a kind of geoengineering, of improving on nature’s yields and productivity. If it could also improve on nature’s ability to put carbon in the ground, that would be transformative. But there’s no evidence yet people can do it at a scale that it can by itself save the planet.” – WIRED.com

Perhaps it won’t completely save the planet from the destruction that has already been done but surely vowing to plant sustainable trees in forests of high need is a step in the right direction. Especially when the cause has gained the attention of thousands of internet users and some very influential creators including MythBusters’ Adam Savage and SmarterEveryday’s Destin Sandlin.

If you would like more information about the campaign backed by Elon Musk, you can view the announcement video below or visit TeamTrees.org to pledge your own donation.

Space Reporter.

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Tesla briefly offered this Robotaxi part for your personal car

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Credit: @tpgoebel | X

Tesla briefly offered one Robotaxi part in its Parts Catalog for your personal car, only to remove it just a short time after it was first noticed.

Tesla’s Robotaxi camera washer apparatus was briefly available for purchase on the company’s Online Parts Catalog. The camera washer was first noticed on Model Y Robotaxi vehicles about six months ago in Austin.

First noticed by Not a Tesla App, the Camera Washer entries appeared for the new “Juniper” Model Y under a category called “Halo,” which has also now disappeared. Interestingly, Halo probably is related to Tesla’s internal “Project Halo,” which was a project that aimed to retrofit customer-owned Model Ys into functional Robotaxis.

This hardware addition would likely be required for the vehicle to operate as a Robotaxi, as the Camera Washer seems to be a non-negotiable part of the vision-based system Tesla utilizes for self-driving efforts.

However, this part has since been removed and is no longer visible on the EPC.

Now the true question lingers: Why would Tesla add this Camera Washer to the Model Y parts catalog? Is it planning to make it available for owners to utilize on their own cars for personal use, or will it become a prerequisite for Robotaxi operation in customer-owned cars?

While discussing the upgrade options for Hardware 3 vehicles during the Q1 Earnings Call, Tesla CEO Elon Musk had said that the company could establish small, satellite shops that would upgrade cameras and self-driving computers. Perhaps this same strategy could be utilized for vehicles that want to be included in Robotaxi but do not have the correct hardware.

AI4 is currently represented as capable of unsupervised self-driving, and the same was said about HW3 at one point, only for Tesla to admit last quarter that it would, unfortunately, not be possible. Perhaps AI4 vehicles might need this camera washer as a prerequisite, just as HW3 cars will need that camera and computer upgrade.

This could be the first hint of that’s where we are headed.

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Tesla Robotaxi gets sweeping but polarizing change

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Credit: Tesla

Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.

Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.

But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:

However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.

Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.

Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.

The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.

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Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots

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Credit: Tesla

Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.

Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.

However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.

With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.

Turning Hesitancy, Inaccuracy

I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.

Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.

I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.

FSD Disregards Manual Turn Signals

This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.

If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.

FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.

This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.

This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.

Bird Braking is a Thing of the Past

The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.

There have been zero issues with this so far in v14.3.6, which is an excellent improvement.

FSD Might Already Be Taking Note of Driver Preferences

Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.

This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.

Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.

Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.

It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.

As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.

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