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Over 80% of Twitter accounts are likely bots: Former FBI security specialist

Credit: Commons Wikimedia

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Amidst the ongoing legal jabs from both Twitter and Elon Musk’s legal teams, it becomes pretty easy to lose the narrative. But while media coverage would likely give the impression that Musk is simply trying to weasel out of a $44 billion deal, the two parties’ conflict is actually based on a key issue: Twitter bots.

Twitter has maintained that less than 5% of its users are spam or fake accounts, even in its filings to the US Securities and Exchange Commission (SEC). Musk has scoffed at this estimate as the Tesla CEO believes that the number of bots on the social media platform is far higher. An estimate from Dan Woods, the Global Head of Intelligence at F5 and a former FBI special agent specializing in cybersecurity, suggests that Musk’s hunch is spot-on.

In a post on F5’s official website, Woods, who also worked for the CIA as a technical operations officer specializing in cyber operations, estimated that over 80% of Twitter’s accounts are actually bots. Woods was able to come to this conclusion after analyzing the social media platform and its countermeasures against automated accounts.

“When I consider the volume and velocity of automation we’re seeing today, the sophistication of bots that a given set of incentives is likely to attract, and the relative lack of countermeasures I saw in my own research, I can only come to one conclusion: In all likelihood, more than 80% of Twitter accounts are actually bots. This, of course, is my opinion,” Woods wrote.

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The former FBI agent noted that bots are generally designed to accomplish a goal. In Twitter’s case, a key goal is to gain followers. More followers mean that an account becomes more influential, which could potentially be a security risk. What’s interesting is that there’s a means to get bots for Twitter, with countless entities offering Twitter accounts, followers, likes, and retweets for a fee. Some are even offered in the dark or deep web.

For research purposes, Woods tried these services on a Twitter account he created. And sure enough, they do work. The former FBI agent paid less than $1,000, but the account has now gained almost 100,000 followers. Woods even tried posting straight gibberish and paying a fee to have his followers retweet it — and they did. With this experience in mind, Woods took his tests further, and the results were pretty damning for Twitter’s anti-bot measures.

“I began to wonder how easy it would be to create a Twitter account using automation. I am not a programmer, but I researched automation frameworks on YouTube and Stack Overflow. Turns out, it’s easy.

“Taking my testing to the next level, over a weekend, I wrote a script that automatically creates Twitter accounts. My rather unsophisticated script was not blocked by any countermeasures. I didn’t try to change my IP address or user agent or do anything to conceal my activities. If it’s that easy for a person with limited skills, imagine how easy it is for an organization of highly skilled, motivated individuals,” Woods wrote.

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It should be noted that Woods highlighted that bots are not a Twitter-only issue. Pretty much all social media platforms suffer from them. Objectively, however, it seems like Tesla CEO Elon Musk was right on target when he called out Twitter’s bot estimate. The social media platform may also have some explaining to do, especially as its own filings may very well be proven inaccurate.

Musk has commented on Woods’ findings on Twitter, joking that the price for 100,000 followers is actually not that bad.

The former FBI special agent’s full post can be accessed here.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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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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Ford is charging for a basic EV feature on the Mustang Mach-E

When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.

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Credit: Ford Motor Company

Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.

Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.

However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.

The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.

Ford is charging $495 for the frunk.

Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.

When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.

Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking

It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.

It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.

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Tesla to improve one of its best features, coding shows

According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.

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Credit: @jojje167 on X

Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.

The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.

Here’s what they look like in action:

As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.

There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:

According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.

Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.

Tesla’s revolutionary Matrix headlights are coming to the U.S.

This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.

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xAI’s Grok approved for Pentagon classified systems: report

Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations. 

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Credit: xAI

Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.

Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.

Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations. 

The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.

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Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards. 

Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD. 

Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible. 

The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.

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