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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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Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
