News
Tesla Gigafactory in Lithuania reimagined within Minecraft game
Have you ever wanted something so badly that you doodled and thought and chatted about it nonstop? Vladas Lašas, a famous Lithuanian entrepreneur, is one of those dreamers turned pragmatists. And his vision is about a Tesla Gigafactory coming to his country.
Lašas wrote last month in his column at Verslo žinios, the main Lithuanian business daily, that Tesla Motors’ CEO Elon Musk should search no further than Lithuania as a European location to build its second Gigafactory, the lithium ion battery production plant.
The column has inspired a movement for what is being heralded as a “beauty contest” in Lithuania. Representatives moved the idea forward, agreeing that full support by the government, non-conventional solutions, and a well-prepared offer were what was needed to bring a major investment such as Tesla’s Gigafactory to Lithuania. With Lašas’ inspiration, enthusiasts, a Facebook meetup, a panel discussion with top government officials, a communication hackathon with 1K EUR prize, and a budget to implement the winning idea have all been part of the larger plan to convince Musk that theirs is the right country at the right time for a Gigafactory.
Sixty young creative designers formed 13 teams to work on the ideas how to pitch Lithuania to Tesla. And now one of those “non-conventional solutions” is hitting YouTube screens all over the globe. Titled, “Minecraft Tesla Gigafactory in Lithuania,” the YouTube captures how, in two days, a team of Lithuanians did what it took Tesla to do in two years: build a Gigafactory. Of course, the caveat is that the Lithuanians have designed a Minecraft Gigafactory, not an actual production facility. Forty Minecraft builders completed the project in 35 hours.
Calling it “a virtual replica of the world’s grandest manufacturing facility,” the simulation begins with little more than a production floor and grows and expands as cranes hoist building elements into place and structures rise in 3-D verticals. The assembly takes place amidst a whirlwind of computer-generated (CG) chaos that turns into perfected architectural form. A roof of solar panels is gently placed to complete the first stage of the “construction.”
Next, an exterior floating barge arises from a waterway beside a pyramidal structure. Inside glimpses direct the viewer’s eye to an assembly line. The Tesla logo, too, is build segment by segment through the Minecraft process. The Minecraft designers reveal that their proposed Tesla Gigafactory in Lithuania would be built near two international airports and within the close radius of 1.3 inhabitants. They posed rhetorically, “Why Kronis?” and provide the answers: it is an economic free zone with the capacity to include a pumped storage power plant, stored energy, electricity generators, and wind energy. It would be an environmentally friendly area with lush green spaces.
“Welcome to the Dream,” the video invites viewers as it comes to a conclusion. Instead of CG, however, we see real human designers at computer screens and the imagery of Lašas as he originally proclaimed his idea for a Lithuanian Tesla Gigafactory. The designers collaborate, scrutinize their work intently, and laugh, all the while hoping that it is their imagination and technical know-how that can convince Musk that Lithuanians “can build anything, anywhere.”
Verslo žinios reports that Tesla may invest about 5 billion euros into this next Gigafactory project, with associated direct and indirect job creation numbering around 17,000 jobs.
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.