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The Unofficial "Elon Musk trying to "Save Everyone" from Themselves (except his Step-Sister)" Thread...


Renegade7

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3 hours ago, @DCGoldPants said:

Saw this yesterday. It's uglier in person like someone designed it in MS Paint. 

PXL_20240513_222800420~2.jpg

 

Yeah, but did it have these (cybertruck nuts)?

 

sdswkzvqmn141.jpg

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Electric Car Charger Vandalism Continues To Surge Nationwide

 

A Tesla Supercharging station in the Bay Area was recently targeted by vandals who severed the charging cord from every stall. A few days prior, 5 separate Supercharger locations were stripped in Houston, TX. In Fresno, CA, over 50 of the city’s 88 EV charging stations have been pillaged – some multiple times. 

 

ev-charger-vandalism-on-the-rise.webp

 

Since the start of 2024, hundreds of Level 2 (L2) and DC fast charging (DCFC) stalls across the United States have been targeted by scalpers and vandals. Historically, most vandalism against EVs and charging infrastructure was committed by those with anti-EV beliefs or some personal vendetta. But more recently, thieves are just looking to make a quick buck by nabbing the copper material used in cable wiring. 

 

The scrapped metal is then sold to recyclers who pay pennies on the dollar for the raw materials. For a haul that might net criminals $50 at most, the damage often costs cities and charging operators thousands to source and install new charging cords.

 

Click on the link for the full article

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Self-Driving Tesla Nearly Hits Oncoming Train, Raises New Concern On Car's Safety

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Craig Doty II, a Tesla owner, narrowly avoided a collision after his vehicle, in Full Self-Driving (FSD) mode, allegedly steered towards an oncoming train.

 

Nighttime dashcam footage from earlier this month in Ohio captured the harrowing scene: Doty's Tesla rapidly approaching a train with no apparent deceleration. He insisted his Tesla was in Full Self-Driving mode when it barreled towards the train crossing without slowing down.

 

Dashcam footage shows the driver taking desperate action, swerving through the railway crossing sign and slamming on the brakes just meters from the oncoming train.

 

 

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Posted (edited)
39 minutes ago, Cooked Crack said:

You are supposed to be in control of the vehicle. He should have never gotten close to the train. Tap the breaks, autopilot disengages.

 

Ask yourself, if you were looking where you were going at all, could you have stopped the car in time to prevent an accident? The answer is yes.

Edited by CousinsCowgirl84
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Study shows relatively low number of superspreaders responsible for large portion of misinformation on Twitter

 

A small team of social media analysts at Indiana University has found that a major portion of tweets spreading disinformation are sent by a surprisingly small percentage of a given userbase.

 

In their study, published in PLOS ONE, the group conducted a review of 2,397,388 tweets posted on Twitter (now X) that were flagged as having low credibility and who was sending them.

 

Over the past several years, media researchers have found that social media sites such as Facebook, Twitter and Instagram can have a major impact on personal beliefs and social issues, including those of a political nature. Prior research has also shown that because of such influence, foreign entities have been posting entries on social media sites with the intention of swaying public opinion on a variety of issues.

 

In this new study, the research team found that it does not take a lot of influencers to sway the beliefs and/or opinions of large numbers of people. This, they suggest, is due to the impact of what they describe as superspreaders.

 

study-shows-relatively.jpg

 

Like the superspreaders that were labeled as such during the pandemic, superspreaders on the internet have the ability to "infect" large numbers of people due to their reputation.

 

To learn more about influence on social media, the research team focused their efforts on Twitter. They collected 10 months of data, which added up to 2,397,388 tweets sent by 448,103 users, and then parsed it, looking for tweets that were flagged as containing low-credibility information.

 

They found that approximately a third of the low-credibility tweets had been posted by people using just 10 accounts, and that just 1,000 accounts were responsible for posting approximately 70% of such tweets.

 

Click on the link for the full article

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