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Over 80% of Twitter accounts are likely bots: Former FBI security specialist
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.
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.
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.
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
