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Leading US Bank calls for renewed fossil fuel support as Tesla shifts industry to sustainables
The Annual World Economic Forum Annual Meeting in Davos, Switzerland took place recently. The Forum is a great opportunity for the world’s leaders to combine their knowledge and ideas in a way that will make our world more efficient. At a time when sustainable solutions are emerging at an accelerated rate thanks to companies like Tesla, it was a chance for leaders across numerous industries to establish their stance on the climate debate.
A few big names were among the guests who were in attendance of the Davos meeting. U.S. President Donald Trump, Billionaire George Soros, German Chancellor Angela Merkel, and Environmentalist Greta Thunberg are few notable names who were present.
During the event, Bank of America CEO Brian Moynihan suggested that oil companies need support now more than ever as the world begins its transition to more sustainable and environmentally-conscious forms of energy. “We should lend to those companies to help them make progress faster, rather than divest from them which won’t help them at all,” he said in an interview with Andy Serwer.
Moynihan’s comments were a response to Thunburg’s claims that no progress has been made toward reducing the emissions of environmentally-damaging carbon gases. He believes that plenty of progress has been made, but he also believes that it could be expedited if more steps were taken.
He’s right, more companies should do more to assist the cause. But there are not enough companies taking the global crisis of climate change seriously enough. While companies continue to make pledges toward reducing carbon emissions by a certain amount before a certain year, what is funding oil companies going to do toward making the world a more environmentally-friendly place?
Moynihan was on a panel with Duke Energy CEO Lynn Good at the Davos Forum. Duke has pledged to reduce carbon emissions by 50% by the year 2030.
“Think about that. That’s a power company. If they’re moving with that kind of pace, and we are saying we need more alternative energy to meet our goals, that business system will get more progress,” he said. “And so yes, we’ve got to make more progress. We’ve got to make it faster. But we’ve got to do it in an aligned way.”
But there are other companies that have the mindset to take two steps forward and one step back.
Amazon CEO Jeff Bezos is the head of one of the biggest companies in the world. The e-commerce giant made huge strides toward environmental sustainability when it became an investor in electric vehicle manufacturer Rivian, whose zero-emissions R1T is set to compete with Tesla’s brutalist Cybertruck. Amazon also purchased 100,000 electric delivery vans from Rivian in an attempt to reduce the amount of carbon emissions from its vehicles.
A few weeks later, a press release from one of the world’s biggest oilfield service companies stated Amazon was one of the main contributors to the U.S. Oil and Gas Industry’s “Production 4.0” forum that would help accelerate and improve oil production. Amazon’s employees pushed Bezos to make changes that would help the Earth. While he promised electric vans and more conscious packaging, Bezos was directly contributing to an industry that continues to harm the Earth in many ways.
As the head of a large bank like Bank of America or one of the biggest companies in the world like Amazon, the responsibility is huge. The environmental impact of these companies is huge and requires extra attention from large corporations. The power these companies hold is the possible key to environmental longevity, and it starts with the halting of oil funding. If the Bank of America CEO’s statements are any indication though, the transition to sustainability may end up being a bit longer than expected.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
