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Porsche Taycan to get ‘Turbo S’ variant with special 700 hp+ ‘overboost’ feature
It appears that Porsche might be preparing something special for Taycan reservation holders. While it has previously been hinted that the German carmaker will be revealing three versions of the vehicle — the base Taycan, the Taycan 4S, and the Taycan Turbo — recent reviews from select auto publications are suggesting that Porsche is set to include a fourth variant on its upcoming unveiling: the Taycan Turbo S.
The Porsche Taycan is based on the Mission E sedan concept, which was unveiled in 2015 to critical acclaim. The Mission E featured over 600 hp from its twin electric motors, allowing it to achieve a 0-60 mph time of less than 3.5 seconds. The Mission E sedan’s specs appear to be the closest to the Porsche Taycan Turbo, which is speculated to have a starting price of $130,000 before options.
In a recent review of the Taycan, motoring publication Autocar noted that both the Turbo and the Turbo S variant will have standard power outputs that are substantially over 600 bhp, and both will have an “overboost” function for 2.5 seconds at a time. The two top-tier Taycan variants’ overboost will have some differences, as the Turbo S’ overboost will raise the vehicle’s output to well over 700 bhp, with over 750 lb-ft of torque.
The result of this is a 0-60 mph time that is well below the 3-second mark. This makes the Taycan Turbo S acceleration very close to the roller-coaster-like launch of a Tesla Model S Performance, which has a 0-60 mph time of 2.4 seconds. Considering that the Taycan has been extensively tested in the Nurburgring, the Turbo S version of the vehicle will likely be a formidable car on the track.
Apart from the vehicle’s performance, the motoring publication also revealed some standard equipment that will be equipped on the Taycan Turbo S. The magazine notes that the Turbo S will be equipped with ceramic brakes, a stiffer set-up, standard four-wheel steering, 21″ wheels and high-performance tires.
The Porsche Taycan is set to be unveiled next week on September 4, 2019 at 9 a.m. EST. The vehicle will be launched at three locations: one in Canada, one in Germany, and another in China. Pricing for the base Taycan, which will reportedly be equipped with a single motor and an 80 kWh battery pack, is expected to be in the low ~$90,000 range. The mid-range Taycan 4S, speculated to be priced at the high ~$90,000 range, is estimated to be fitted with two electric motors and a 96 kWh battery pack.
The two top variants of the Taycan are expected to command a notably higher price, with the Turbo version starting at $130,000 before options. Pricing for the Turbo S is yet to be announced, though considering that the Porsche Panamera Turbo S E-Hybrid Sport Turismo commands a ~$190,000 price, it wouldn’t be surprising if the Taycan’s fastest iteration ends up being priced closer to the next-gen Tesla Roadster than the Model S.
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.”
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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.
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
