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OPINION: Elon Musk’s transparency about combating mental health is being used as a hit by MSM

Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

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Elon Musk’s wide-ranging interview with Don Lemon dropped on various platforms yesterday, and among one of the discussion points was the Tesla CEO’s use of ketamine to fight depression.

“You’ve admitted that you have a ketamine prescription,” Lemon, a former CNN anchor, asked Musk during the interview. “Yeah, yeah, yeah,” Musk replied.

Lemon dug into Musk’s reasoning for using the technique to fight depression. However, Musk seemed less than enthused to talk about his personal use of a doctor-prescribed medicine to fight what he called a “negative chemical state in my brain, depression, I guess.”

Feeling somewhat blindsided by the question, Musk made it clear it seemed like an invasion of personal privacy to ask about his prescriptions.

However, even though Musk was prescribed the treatment by a doctor to fight depression, mainstream media headlines have attacked the CEO for what they are describing as “drug use,” not giving any sort of context about the drugs, their effectiveness, or even the fact that they are prescribed by a doctor.

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Instead, several outlets are leaving out key details, and in a culture where headlines are becoming all that people read, it seems misleading, scummy, and extremely wrong to leave out the fact that ketamine is not being used recreationally.

One headline, for example, reads:

“Elon Musk opens up about drug use, claims it helps him in running Tesla.”

The description of the article also reads:

“Elon Musk does not think drug usage will impact his companies, government contracts, or investor relations.”

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Notice there is not a single mention of the fact that his “drug use” is prescribed and not recreational.

It is no secret that Musk’s viral clip of a singular puff of a joint that combined both marijuana and tobacco is still one of the highlighted points by many skeptics. In fact, the episode even caused his security clearances to be reviewed by some government agencies.

However, the lack of details in some outlets’ coverage of Musk’s ketamine use would leave the headline readers of the world to conclude that he is using drugs recreationally in an attempt to keep his daily tasks under a manageable state. In reality, Musk said he uses “a small amount once every other week, or something like that.”

The coverage from media outlets proves that Musk, who also said that people with depression should consider methods that are alternatives to traditional selective serotonin reuptake inhibitors (SSRI).

Medicine is obviously a case-by-case basis, but as someone who has battled both depression and anxiety for the duration of my 29 years on Earth, it is upsetting to see someone be attacked for using techniques that work for them. This is not a case of a person using recreational drugs to manage day-to-day stress. It is, in Musk’s words, “literally a prescription from a real doctor.”

Elon Musk’s Neuralink and what it means for anxiety and depression

People who have followed Tesla for basically any period of time know that the company is routinely under fire for things like recalls, car accidents, and other things.

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However, attacking the company CEO over his mental health battle and the techniques used to combat a mental health condition that is very widespread is a low blow.

In America, we have come a long way in the battle against mental health ailments. Once considered a taboo topic, mental health conditions are generally accepted by society now as regular and routine issue that a lot of people deal with. According to National Institute of Mental Health, more than 50 million Americans deal with some kind of mental health issue. This is roughly one in five adults, and this only accounts for those who actually get help for their issues.

In my opinion, Musk being transparent about his mental health and his strategies to combat it was a huge win, because many people look up to him. It is perfectly okay to not be okay, even when you’re one of the most innovative minds in modern history.

I’d love to hear your thoughts on this matter. Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.comI’m also on X @KlenderJoey.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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