Just as quickly as Elon Musk and Mark Zuckerberg went from casual acquaintances to full-on foes, 2017 is more than halfway over.
Tesla had a lot of lofty goals for the year, and made some big moves like the release of the Model 3, but there are still a few ideas brewing that Musk would like to execute by year’s end.
Anticipated Model 3 Release
Source: Tesla
As mentioned above, the Tesla Model 3 graced the world with its presence this year, and its official unveiling is in two days at a company handover party.
As we previously reported, production is expected to kick into a higher gear and Musk’s processes and logistics will be tested following the official Model 3 event. For investors, this will be the defining moment on whether Musk’s vision for a high volume, affordable electric car is possible.
The delivery event will also feature presentations from Musk on Tesla’s grand vision for a sustainable future.
The Model 3, Musk’s entry into the mass vehicle market, will be $35,000 and have a range of more than 215 miles per charge.
Next Level Semi
Source: Tesla
The Tesla Semi-truck, which Musk touted as “seriously next level,” is due for an unveiling in September.
Semis typically drive millions of miles and are some of the largest polluters in the world. Tesla’s electric truck could take thousands of these off the road, making the air cleaner and quieter, but battery technology and Tesla’s charging network would need to be able to support the extreme long distance travel and weight often associated with this industry.
The semi initiative is being led by former VP of Worldwide Sales and Service Jerome Guillen. Could the recent rumors about a “4416” cell be pointing to a larger battery cell for the upcoming Tesla Semi?
“A lot of people don’t think you can do a heavy duty long-range truck that is electric. But, we are confident that this can be done,” Musk said.
10,000 superchargers globally
Source: Teslarati
Tesla says it plans to have more than 10,000 Superchargers and 15,000 destination chargers in its network by the end of 2017, doubling that of the existing charging network.
“As Tesla prepares for our first mass-market vehicle and continues to increase our Model S and Model X fleet, we’re making charging an even greater priority,” Tesla said back in April. “It is extremely important to us and our mission that charging is convenient, abundant, and reliable for all owners, current and future. In 2017, we’ll be doubling the Tesla charging network, expanding existing sites so drivers never wait to charge, and broadening our charging locations within city centers.”
As of right now, Tesla has 6,118 superchargers and 909 supercharging stations.
Your Car Will Be Able to Drive Others One Day
Source: Tesla
As our own Margaret Gach reported, the Tesla Network has the potential to upset ride-hailing giants Uber and Lyft.
The basic idea of the Tesla Network is for the car to drive itself while you’re busy.
Given that the typical car owner only uses their vehicle during about 5 to 10 percent of the day, having your car make money for the other 90 to 95 percent of the day could be lucrative. While you’re at work, asleep, or even on vacation, your Tesla could be driving around the city, picking up and dropping off passengers without any extra effort on your part.
Musk and company still have some way to go though as a 2017 Deloitte study shows that 74 percent of Americans don’t currently trust self-driving cars.
Though Musk didn’t specifically outline a timeframe for Tesla’s ride-sharing network, rapid developments taking place on the company’s Autopilot program and Full Self-Driving Capabilities would lead us to believe that a major announcement related to the Tesla Network will be coming, as Tesla demonstrates a fully autonomous, California to New York drive by year end.
An Eye Toward The Future
With the Model 3 delivery event being Friday, it will become clear if Tesla was able to knock out another one of its goals for the year. Even if it does, the company still has to execute a few more of its 2017 plans before the ball drops into 2018.
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
