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Automakers will focus on self-driving technology at CES 2017
The 2017 Consumer Electronics Show in Las Vegas opens to the public on January 5 but will be preceded by press and preview days on January 3 and 4. This year’s show will span across 2.5 million square feet of floor space spread across multiple venues and feature 3,800 exhibitors.
“One of the big themes is going to be connectivity,” Jeff Joseph, senior vice president for communications and strategic relationships at the Consumer Technology Association, which hosts CES. “For example, Internet of Things, vehicle-to-vehicle communication, voice-activated communication with things like Alexa and Google Home and higher-value content – 4K-produced content that you can move from device to device.”
Faraday Future
In the past few years, more and more car companies and automotive suppliers have used CES to showcase their technological prowess, particularly in the area of self-driving cars. Faraday Future says it will reveal its first production car via a live stream beginning at 6:00 pm on January 3. The all electric vehicle appears to be a crossover SUV based on teaser videos the company has released ahead of the show.
Hyundai Ioniq
Hyundai says it will be providing show goers rides in its new Ioniq equipped with autonomous driving technology. In a preview earlier this year, C/Net RoadShow reporter Antuan Goodwin found the self driving Ioniq competent if a little boring. The car never exceeds the speed limit, for instance, and deals with pedestrians and turns within city limits with painfully slow precision.
Chrysler Pacifica
Chrysler is expected to introduce a battery electric version of its Pacifica minivan at CES 2017. The car is not expected to be available for sale before 2018 and little is known at this time about battery size, range, or other specifications. Chrysler has just started selling a plug-in hybrid version of the Pacifica in the US. 100 of those cars have been modified at a separate facility in Detroit to use Google’s self driving technology. Google has recently announced that it is no longer considering manufacturing its own self-driving car.
Honda NeuV
Honda will bring a “box on wheels” concept electric car to the Las Vegas show. Called the NeuV, the car can recognize the occupants’ mood and adjust lighting, visual displays, and driving characteristics to match. It will also showcase vehicle to vehicle communication systems designed to speed the flow of traffic in congested urban areas.
https://www.youtube.com/watch?v=z-XMA6YAh5c
Rinspeed
Not to be outdone in the goofiness department, Rinspeed will present its highly unusual and totally unique Oasis concept. The car is intended to answer the question, “What will drivers and passengers do with their time when self driving cars become the norm?” One answer, says Rinspeed, is an onboard garden that occupants can tend to while under way.
MobilEye
MobilEye, Tesla’s former partner for autonomous driving systems, has linked up with Delphi, a major component supplier to the automotive industry, to create a self driving platform that will be marketed to various car makers. The two companies will offer show visitors a 6.3 mile long test drive of their Centralized Sensing Localization and Planning (CSLP) automated driving system. It won’t be production ready until 2019, but the two companies insist it is “the first turnkey, fully integrated automated driving solution with an industry-leading perception system and computing platform.”
https://vimeo.com/193388153
Keynote speakers at CES 2017 will include Nvidia CEO Jen-Hsun Huang, who will talk about “the latest in artificial intelligence, self-driving cars, VR, and gaming.” Carlos Ghosn, CEO of Renault-Nissan, is also scheduled to give a keynote address.
CES is about more than automobiles. New advances in televisions, smartphones, and personal assistants like Google Home and Amazon Echo will be featured as well as advances in gaming and virtual reality technology. No one could see, touch, and experience everything that every exhibitor will bring to the show.
We will attempt to keep you informed about new technologies that will apply to the automotive and mobility industries, beginning with the first press conferences next Tuesday, January 3. Like us on Facebook and get a behind the scenes look from CES 2017.
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
