Connect with us

News

Tesla tops Fast Co’s list for Most Innovative Transportation company

Next-gen Tesla Roadster and Cybertruck at Hawthorne Design Center, 2019 Tesla Holiday Party (Credit: giftedkick_/Instagram)

Published

on

Tesla ranked third overall in the list of The World’s 50 Most Innovative Companies by Fast Company. Tesla also topped the list of the Most Innovative Transportation Companies of 2020 by the same publication.

The Silicon Valley-based carmaker finished just behind social media platform Snap and tech-giant Microsoft, which finished first and second, respectively. In the transportation sector, Tesla grabbed the top spot while Brightline/Virgin Trains, the first new privately-held passenger rail system in the United States in 100 years, finished second. Software company Swiftly, which helps cities optimize public transit systems using data analysis snagged the third spot.

Fast Company cited Tesla “for proving it’s a mass-market automaker by delivering more than 350,000 cars in 2019. Tesla proved it can compete with Big Auto when it delivered 367,500 vehicles to customers last year—more than double the number of cars it sold in the previous two years. It also opened a new factory in China, and began delivering cars to the world’s largest EV market.”

Aptiv came in fourth and was cited for completing more than 70,000 paid autonomous car rides with Lyft. Electric vehicle charging company Chargepoint got the fifth spot. Kodiak Robotics, Passport, Shipex, Cake, and LM Industries completed the top 10 in the transport sector

The publication highlights the achievements and promising ideas of the biggest and lesser-known industry players, but more importantly, puts the spotlight on how Elon Musk’s car company has been reshaping itself as an industry leader and how it continues to transform the the car industry as a whole.

Advertisement
-->

Scaling up production of its vehicles, focused at the moment on the Model 3 electric sedan and now the Model Y electric crossover is an integral step to achieving Tesla’s mission of fostering a wider adoption of electric vehicles. For 2020, Tesla is aiming to deliver 500,000 vehicles.

While these numbers may sound ambitious to the company’s naysayers, it is a realistic goal with the carmaker eyeing production of 500K units per year in its Fremont factory once upgrades are completed mid-year. Giga Shanghai, according to a recent record of meetings between investors and experts, is expected to hit 170,000 vehicles this year, with an aim to produce 5,000 vehicles per week putting the facility all the way up to to almost 250,000 units annually.

Aside from its connected cars, it also continues to invest in improving its car battery technologies. Industry leaders and major players are awaiting what Tesla and Elon Musk would announce during its Battery Day in April. It could be about mass production of cheaper batteries or perhaps enhanced batteries for its existing and future vehicles, and while these could spell doomsday for other legacy automakers it opens the possibility of Tesla helping everyone as a supplier of reliable electric vehicle batteries in the future. If that happens, it would be a win-win situation for carmakers and the environment as this would make green cars from different brands more attractive to consumers. Tesla’s innovation is effectively innovation for the car industry as a whole.

Ramping production has indeed turned Tesla into a mass vehicle producer, but more importantly, it brings it a step closer to helping the world achieve a more sustainable future through its products.

“When I think what we have in front of us, the next couple of years, we’ve got Model Y, we’ve got Giga Berlin, Tesla Semi, Solarglass Roof, Cybertruck some very exciting improvements in battery technology,” Elon Musk said during its Q4 2019 earnings call. “It’s hard to think of another company that has more exciting product and technology roadmap. So super-fired up about where Tesla will be in the next 10 years.”

Advertisement
-->

Fast Company’s list of The World’s Most Innovative Companies looked into groundbreaking businesses in 44 sectors across different regions of the globe. The nominated companies were assessed by the publication’s editors and writers based on their innovation and impact, with focus on their accomplishments in the past year.

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

Advertisement
Comments

Elon Musk

Tesla AI Head says future FSD feature has already partially shipped

Published

on

Credit: Tesla

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:

Advertisement
-->

“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.”

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).

Advertisement
-->

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.

Continue Reading

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.” 

Published

on

Credit: @BLKMDL3/X

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

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.

Advertisement
-->

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.

Continue Reading