News
GM unveils Cadillac Celestiq, an 18-foot behemoth that starts at over $300,000
General Motors (GM) has unveiled the Cadillac Celestiq, a flagship, all-electric “halo car” designed to take on the likes of the world’s premier ultra-luxury car makers. Filled to the brim with tech and premium materials, the Celestiq is GM’s most ambitious electric yet, and it is evident in the vehicle’s starting price of over $300,000.
The Celestiq is a behemoth of a luxury car, 18 feet long and seven feet wide, making it larger than a Cadillac Escalade SUV. The vehicle is powered by a 111 kWh battery pack that’s capable of up to 200 kW charging and 300 miles of range. It’s also capable of going from 0-60 mph in 3.8 seconds, which, while not as quick as smaller rivals, is impressive for such a massive car.
For its starting price of $300,000, buyers of the Cadillac Celestiq can expect to receive a vehicle that Rory Harvey, global vice president of Cadillac, described as a “brand builder.” Its interior features a 55-inch diagonal screen that spans the front cabin, a “smart glass roof,” and Ultra Cruise, the successor of GM’s Super Cruise system, among others. The interior also includes 115 3D-printed parts.
Considering the Celestiq’s starting price, customers would be able to customize practically every part of the vehicle. Buyers could also be assured that their Celestiq is completely hand-built, with Cadillac only building a couple or so units per day. Brandon Vivian, Celestiq executive chief engineer, noted that the vehicle is a celebration of a client’s individuality.
“When we started this process, the brief then we gave to the team was to develop the most epic Cadillac ever. But the result is a vehicle unlike any other… It’s a custom-commissioned celebration of the client’s individuality,” Vivian said.
But while the Cadillac Celestiq is impressive, it is entering a market that is already filled with rivals that offer more performance or nearly comparable luxury at a lower price. The Tesla Model S Plaid blows the Celestiq’s raw performance out of the water for a fraction of its cost, and the Lucid Air Grand Touring offers far more range and similar traditional luxury amenities for a lower price.
In fact, with the Celestiq starting at $300,000, a buyer can purchase a Tesla Model S Plaid with a 1.99-second 0-60 mph time and a Lucid Air Grand Touring with 516 miles of range and still have some money left over. As of writing, the Tesla Model S Plaid can be purchased for $140,490 with its performance-oriented 21″ Arachnid Wheels, while the Lucid Air Grand Touring Dual Motor can be bought for $154,000. These two vehicles combined still cost less than the starting price of the Cadillac Celestiq.
However, if GM can pull off the Celestiq, the veteran automaker can end up taking a spot beside the world’s most notable ultra-luxury automakers like Bentley and Rolls-Royce. As to whether Cadillac has what it takes to accomplish this goal, only time will tell.
Production of the Cadillac Celestiq is expected to start December next year.
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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.”
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
