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Amazon to help boost oil production amid Climate Pledge, Rivian van orders
Just a few weeks ago, Amazon CEO Jeff Bezos announced that his company would be purchasing 100,000 Rivian electric vans to deliver its packages, as well as provide more eco-friendly packaging. The decisions were made after employees demanded he take the necessary steps to reduce the carbon footprint the e-commerce giant was causing. Bezos complied, alleviating the possible strike that Amazon employees were poised to take part in.
It finally seemed like one of the world’s biggest companies was taking an environmental approach to its business model, but that may not entirely be the case. As revealed by a press release from Weatherford, one of the world’s leading oilfield service companies, Amazon was one of the main contributors to the U.S. Oil and Gas Industry’s “Production 4.0” forum at the Enterprise Software Conference in Houston, Texas. The forum’s theme was simple — it centers on the development of technology that can accelerate and improve oil production.
“Weatherford Production 4.0 products, including ForeSite Edge, ForeSite Platform, CygNet Platform and ForeSite Sense, activate field-wide intelligence to maximize production. Weatherford delivers the future of production performance through next-generation automation, IoT infrastructure and advanced optimization software to boost production, uptime and efficiency,” Manoj Nimbalkar, Weatherford’s Global VP of Production Automation and Software, said.
The irony of Amazon’s decision to join this conference is notable. The company, after all, previously committed to delivering its new, environmentally-conscious packages via electric vehicle just a few short weeks ago, and now is helping the oil industry thrive. The future of gas and oil will not only contribute to the global climate crisis, but it also contributes to the decision to not have large corporations take a more environmentally-aggressive approach to the operations of their businesses. The influence Amazon might have carried with its decision to rely less on fossil fuels to power its vehicles could have convinced other companies to follow in its footsteps.
Bezos gained the respect of many eco-friendly groups when he announced his partnership with Rivian. The CEO invested $700M into the electric automaker in February 2019, making the impression that he and his company would begin gearing up for a future that would not include operating on fossil fuels. But when the company began its “Climate Pledge” in mid-September at the National Press Club, details were vague. Bezos was nevertheless adamant about doing his part to help reach the specifics of the Paris Agreement, and even took an aggressive line by stating that he wanted to accomplish the goals 10 years early. Despite the fact that the US will pull out of the agreement on behalf of President Donald Trump later this year, Amazon, at least at the time, have the impression that it was doing its part to contribute to environmental sustainability.
But unfortunately, the old saying “actions speak louder than words” is all too true here. All while Bezos and Amazon were taking the necessary steps to reduce its carbon footprint and become a company that will help the planet, it appears that they were putting an effort to help advance oil and gas companies just the same. It appears they have taken two steps forward and three steps back with this news. After all, when Bezos was asked at the National Press Club meeting in Washington, D.C. if he would sever ties with oil companies that Amazon supports, he gave a firm “No.”
Ten-thousand Rivian vans boasting the Amazon logo are due to hit the road and begin delivering packages in 2021, and the remaining 90,000 will be ready before 2030. It also intends to utilize Earth-friendly packaging materials, apart of the “Shipment Zero” plan, by the end of 2019. But the announcement of Amazon’s participation seems to somewhat derail, or at least delay, any ideas that the company was interested in becoming a sustainable company. After promising employees that it would begin an effort to become “green”, is Amazon really sincere in its efforts to help the climate after all?
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
