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Tesla owners in Portugal escape fuel shortage hell due to truck drivers’ strike

(Credit: lourencovc/Twitter)

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Tesla owners in Portugal are thanking the electric car maker since their vehicles are proving immune to the ongoing gas crisis in the country, which resulted from a strike by fuel-truck drivers calling for higher pay and shorter working hours.

The gas shortage in Portugal got notably worse on Wednesday, the second day of the truck drivers’ strike. Hundreds of gasoline stations closed during the day, as evidenced by incredibly long lines of internal combustion vehicles lining up on stations that still had fuel. Authorities declared a national energy crisis as well, ordering truck drivers to resume deliveries to airports, hospitals, and other essential services.

The government has mandated that a “minimal” supply of at least 40% of normal gas levels must be maintained at gas stations in Lisbon and the second city of Porto. With the national energy crisis in effect, emergency vehicles such as ambulances and firetrucks are given priority to access this “minimal” supply of gas. This means that for thousands of motorists, their vehicles are severely fuel-constrained.

Amidst the chaos brought about by the ongoing truck drivers’ strike, owners of Tesla’s electric cars were able to largely avoid feeling the brunt of the fuel crisis. A Tesla Model 3 owner from the area shared a short clip from his drive home, and it showed the electric sedan passing dozens of vehicles forming a long line to a gas station.

If the truck drivers’ strike in Portugal continues, it is not only the private transport sector that will be affected. As noted in a Politico EU report, some motorists are already spending the night just to line up for fuel, and public transport operators in Lisbon and Porto have warned that buses only had a few days’ worth of fuel left. In a statement to the publication, António Medeiros, a truck drivers’ union treasurer, noted that “If we stop for two or three days, we throw Portugal into chaos. We are perfectly aware of that.”

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Unfortunately, there are signs that the truck drivers’ strike would continue. A meeting between employers and the truckers’ trade union broke up without an agreement being reached on Tuesday. The strike is also seeing little political support, with Rui Rio, the leader of Portugal’s Social Democratic Party, noting that “I’m not going to attack the government over something that isn’t the government’s responsibility.”

https://twitter.com/alexpanagopulos/status/1118580189339049986

While Tesla owners who charge their vehicles from the grid will likely experience the effects of the truck drivers’ strike if it continues, those whose homes are equipped with solar panels and battery storage units will largely be immune to further fuel shortages in the country. This independence from the grid is something that is key to Elon Musk’s plan for Tesla, which involves zero-emissions vehicles running on solar energy.

The ongoing experience of Tesla owners in Portugal all but highlights the need for the company to ramp the production of its energy business. Tesla has mostly focused on its electric car business in recent years due to the Model 3 ramp, but Musk has noted that 2019 will see Tesla ramping its energy products. Musk emphasized this point in the Model Y unveiling, stating that 2019 will be the “year of the Solar Roof.” A production ramp of the Tesla Powerwall 2 home battery storage unit is expected this year as well.

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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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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