Scammers are using doctored videos and images of Elon Musk to advertise on Facebook and Instagram. Meta, Facebook, nor Instagram are doing anything to stop these out-of-control scammers.
Hopefully, that will change. Probably not.
Busted!
Andrea Stroppa, former contributor to the World Economic Forum, and cyber security researcher focusing on digital communication, social media, and research, shared what he found. He also shared his thoughts with me.
In a Twitter thread, Andrea pointed out that both Facebook and Instagram have a major problem. Both social media networks allow hundreds of sponsored posts that link to scams.
These scammers are using the name and face of Elon Musk with fake interviews or fake endorsements.
“In the past three days, this page created 20 different ads on Facebook and Instagram with a video of Elon Musk that suggested investing in a crypto platform. It’s a scam,” Andrea tweeted.
Andrea found that these scammers also use verified Facebook pages to advertise on the Meta apps. These verified pages are most likely hacked.
Elon Musk, SpaceX, and Tesla are used in these scams.
The scammers don’t limit themselves to verified pages, but they also have recently created pages with fewer than ten thousand followers that are given the green light by Facebook to advertise.
Elon Musk isn’t the only one these scammers are using to advertise their scams. They also use the logos of both Tesla and SpaceX.
And they use the power of the Meta Business Suite to target specific users for countries, ages, sex, and other variables.
Analyzing Fraudulent Ads on Facebook And Instagram
Andrea said that his team analyzed the fraudulent ads on these platforms that were related to counterfeit products for a particular target audience.
What he found instead were these scams which, he added, are very likely the top of the iceberg. These scams have a common pattern.
In my opinion, Facebook doesn’t seem to care about stopping it. As long as they get their money, they seem to be just fine with the scams. If not, then they would put an end to the scams. Right?
Perhaps someone at Meta will read that and prove me wrong.
Austrian Office of Taipei hacked
Andrea’s team even found a government page involved with the scams. He shared a screenshot of the Austrian Office Taipei’s post claiming “Tesla’s latest project shocks the world and the bank is in shock.”
Fortunately, the Austrian Office of Taipei was able to recover their account and posted a statement about being hacked.
However, all of their content posted between August 2021 and May 2022 was deleted.
“We apologize for any inconvenience caused by the scammers. We have done all we can to make sure that nobody is able anymore to abuse our page.”
“As of today, we will return in the usual manner to inform you about our activities in Taiwan, inform you about Austria in all its aspects, such as culture, as a travel destination, its economy and businesses, science and innovation, sustainability and many other areas.”
“Thank you so much for your support. The Team of the Austrian Office Taipei.”
Elon Musk & Meta’s users are victims of negligence
Andrea called on Andrew Bosworth (Boz) the Chief Technology Officer at Meta and
Adam Mosseri, the Head of Instagram to be serious about the moderation of ads on these networks.
“Elon Musk and your users are both victims of scammers and your negligence. Fix it now.”
In a statement to Teslarati, Andrea Stroppa said,
“No doubt that Elon Musk is not just one of the best entrepreneurs of his generation but even a formidable capital allocator. That’s why many people want to listen to his bits of advice.”
“But all these ads appearing on Facebook and Instagram with potential investments are scams.”
“Looking at these malicious ads, there are many common patterns, keywords, and media content. Facebook has the technical skills to reduce the magnitude of these damaging activities. But they don’t.”
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
