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Elon Musk’s flamethrower gets reprieve in CA after lawmaker’s bill falls through

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California lawmakers recently blocked proposed restrictions for the sale and use of The Boring Company’s Not-a-Flamethrowers in the state. The suggested restrictions were authored by LA Assemblyman Miguel Santiago (D-Los Angeles), who earlier this year issued a strongly-worded criticism of the device.

The Boring Co. Not-a-Flamethrower was launched by Elon Musk earlier this year. The devices, which Musk dubbed as a “super terrible idea,” were sold for $500 each during a limited run of 20,000 units. All 20,000 Not-a-Flamethrowers were sold out within four days, raising $10 million for the tunneling startup.

While the Boring Co. Not-a-Flamethrower proved incredibly popular, LA Assemblyman Miguel Santiago found nothing amusing about the device. At the end of January, Santiago issued a press release strongly criticizing the firestarter

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Santiago would go on to author AB-1949, better known as the Flamethrower Bill. The bill’s first iteration proposed several restrictions on the sale and use of flamethrowers in California. As could be seen in a copy of the Assemblyman’s bill, owners of Tier II flamethrowers (devices that can shoot flames at least 2 feet but not exceeding 10 feet, like the Boring Co. Not-a-Flamethrower) must have a valid pyrotechnic operator license from the State Fire Marshal and the necessary permits before they are allowed to use the device. Without these documents, buyers of the Boring Co. flamethrower would be at risk of fines or even imprisonment. Here is an excerpt from the Assemblyman’s original bill.

“Any person who uses or possesses any Tier I or Tier II flamethrowing device… without a valid flamethrowing device permit issued pursuant to this part is guilty of a public offense and, upon conviction, shall be punished by imprisonment in the county jail for a term not to exceed one year, or in the state prison, or by a fine not to exceed ten thousand dollars ($10,000), or by both imprisonment and fine.”

Santiago’s bill was largely supported by the police and fire officials. As the bill advanced, however, it was eventually amended. The amendments in the bill were primarily focused on Santiago’s proposed restrictions on Tier II flamethrowers, which are less powerful and less likely to cause harm. The suggested imprisonment and fines for individuals using Tier II flamethrowers without permits were struck off the bill as well.

Santiago eventually narrowed the scope of his bill, suggesting that the devices like the Boring Co. Not-a-Flamethrower must carry a safety label. Even this, however, was stalled on Friday, when the bill was held at the Assembly Appropriations Committee. As noted in a San Francisco Chronicle article, the Flamethrower Bill ultimately became a victim of the state’s “suspense file” process, where legislative leaders usually kill bills that can pose an embarrassing vote for the party.

It is pertinent to note that the Boring Co. Not-a-Flamethrower is more of an oversized butane torch than a full-fledged flamethrower. The device shoots flames similar to the Weed Dragon, a torch that can be bought at hardware stores. Tier I flamethrowers, such as the XM42-M, are on an entirely different level, as these devices are capable of shooting flames up to 30 feet.

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For now, however, reservation holders of the Boring Company Not-a-Flamethrower could look forward to the upcoming pickup party on June 9 at Los Angeles. The event, which would feature the handover of the first 1,000 Not-a-Flamethrowers, will also include fun activities such as photo booths, marshmallow toasting sessions, and zombie simulations. Deliveries of the Not-a-Flamethrowers would follow soon after.

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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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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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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