General Motors (GM) has shut down a manufacturing plant in Kansas and laid off the site’s roughly 2,000 workers after the automaker stated plans to do so last week. The news comes as the latest amidst strikes from the United Auto Workers (UAW) union targeting Ford, GM and Stellantis.
Following the UAW strikes at a GM assembly plant in Wentzville, Missouri last Friday, the automaker said on Wednesday that it doesn’t have work available for its Fairfax, Kansas workers, according to NBC News. GM has also said it won’t be able to offer unemployment benefits to the workers “due to the specific circumstances of this situation.”
“The fundamental reality is that the UAW’s demands can be described in one word — untenable,” wrote GM President Mark Reuss in an op-ed for Detroit Free Press on Wednesday. “As the past has clearly shown, nobody wins in a strike. We have delivered a record offer. That is a fact.”
Roughly 12,700 workers from GM, Ford and Stellantis walked off the job after previous union contracts expired last Thursday. The UAW strikes have targeted key manufacturing plants, asking workers to leave the premises without any notice to affect the automakers’ larger supply chains.
Jeep, Chrysler and Dodge owner Stellantis announced plans to lay off 68 workers at an Ohio facility, warning of another 300 layoffs in Indiana if the situation does not improve.
Additional layoffs are happening at a Stellantis machining plant in Perrysburg, Ohio, outside of Toledo, due to “storage constraints.” The company predicts a similar situation at a transmission and casting plant in Kokomo, Indiana.
Ford also laid off around 600 employees at a plant in Wayne, Michigan.
Tesla’s Elon Musk invites UAW to hold a union vote “at their convenience”
UAW President Shawn Fain has warned that the union will broaden strikes on Friday if the automakers don’t make “serious progress” on creating a new contract. Roughly 150,000 workers total are represented by the UAW.
Currently, the UAW is asking for pay increases of between 36 and 40 percent over a four-year period, a 32-hour work week, significant changes to the time it takes to earn top wages and more. The automakers have offered contracts featuring roughly 20 percent wage hikes over four years.
Strikes have so far hit GM’s full-size van and midsize truck plant in Wentzville, a Ford Bronco SUV and Ranger midsize truck plant in Wayne, Michigan, and a Stellantis plant in Toledo, Ohio, which produces the Jeep Wrangler and Gladiator.
According to Reuters, the three automakers remained in a negotiation stand-off with the UAW on Wednesday, ahead of the union’s plans to escalate strikes to other facilities. Analysts think that the next wave of strikes could target production facilities building more profitable pickups, such as the Chevy Silverado from GM and the Dodge Ram from Stellantis.
Ford reached a deal to prevent a mass walkout of Canadian workers on Tuesday after the union Unifor threatened a strike of its roughly 5,600 workers across three plants in the country.
The agreement has still yet to be ratified by Unifor, and Ford Canada said it wouldn’t disclose details about the deal. However, it reportedly included improved wages and pensions along with added support for transitioning to electric vehicles (EVs).
While EV manufacturer Tesla isn’t unionized and is not directly involved with the strikes, transitioning to EVs has been a main concern for the unions, as EV production requires fewer employees. As such, the UAW seeks to increase workers’ stability amidst the EV transition.
Tesla only builds EVs, so unlike the “Big 3,” the automaker won’t have to phase out gas car production. Some predict that the strikes could benefit the EV maker, while others argue that ripple effects from the strikes could turn out to be a negative across the auto industry.
You can watch UAW President Shawn Fain’s update below, posted on Tuesday, in which he warns of the upcoming Friday deadline.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
