Microsoft’s interest in expanding its Azure cloud computing service to include artificial intelligence (AI) supercomputing technologies has led to a new partnership agreement with the Elon Musk-backed company, OpenAI. An investment of $1 billion dollars was recently made by Microsoft into the venture to develop an Azure-based hardware and software platform that will scale to artificial general intelligence (AGI). In turn, OpenAI will use Microsoft as their exclusive cloud provider.
OpenAI is a nonprofit AI research organization co-founded by Musk, serial entrepreneur Peter Thiel, and Y Combinator’s Sam Altman with the goal of developing beneficial, open source AI to combat any future rise of harmful AI. Musk stepped down from the Board of Directors in early 2018 to avoid any conflicts with Tesla’s Autopilot program; however, he still remains as a benefactor and advisor. Tesla’s Director of AI and Autopilot Vision, Andrej Karpathy, previously worked as a neural network researcher for OpenAI.
While the venture is backed by significant private investment, the long-term goals of OpenAI require even greater resources. The company’s motivation to create the new investment partnership with Microsoft was partially due to financial constraints caused by computing hardware needs. The financial requirements to retain top talent are also significant – OpenAI’s tax filings from 2016 revealed its top researcher was paid a $1.9 million dollar salary, with others receiving significant amounts as well.
“OpenAI is producing a sequence of increasingly powerful AI technologies, which requires a lot of capital for computational power. The most obvious way to cover costs is to build a product, but that would mean changing our focus. Instead, we intend to license some of our pre-AGI technologies, with Microsoft becoming our preferred partner for commercializing them,” OpenAI’s press release announcing the new partnership explained.
The connection between Microsoft and OpenAI is not new. In 2016, the companies jointly announced they were working together to run most of OpenAI’s large-scale experiments on Azure, making it their primary cloud platform for deep learning and AI. Azure had hardware configurations optimized for AI computing needs and a roadmap to expand those capabilities even further. One of the stated joint goals between Microsoft and OpenAI is the democratization of AI, and cloud computing is a large part of making that a reality as hardware and software resources are no longer required to be local to the user.
OpenAI has already created some impressive AI capabilities. In August last year, company bots created for the video game Dota 2 defeated a team of highly skilled human players in two games out of three. To accomplish the task, serious amounts of hardware and training were required. The nonprofit research lab employed a scaled-up version of Proximal Policy Optimization running on 256 GPUs and 128,000 cores to complete roughly 180 years worth of gameplay every day through reinforcement learning, which allowed the bots to develop advanced skills for the game. An open source gym for training AI with games was also released by the company.
In 2017, OpenAI announced that it had successfully trained its AI-powered robots to perform a task after watching it once in virtual reality. After showing a robot how to stack a series of colored blocks in a virtual reality simulation, it was then able to successfully mimic the actions. To accomplish this, OpenAI trained the robot in a simulated, virtual environment with nuances like lighting, shadows and backgrounds noise so that when in the real environment, it knew to filter out noise and focus on only important elements as a human brain would.
OpenAI also successfully taught AI bots to create their own language for communicating with each other in 2017. A paper was published on the topic which explained how the bots used reinforcement learning to accomplish simple goals through trial and error. After being given clues such as “Go to” or “Look at” by the researchers, the bots were then required to create their own machine language to communicate with each other.
The company’s latest commitment to Microsoft will now expand their access to resources to achieve even more impressive artificial intelligence feats.
Elon Musk
Tesla is ramping up its advertising strategy on social media
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
Tesla seems to be ramping up its advertising strategy on social media once again. Marketing and advertising have not been a major focus of Tesla’s, something that has brought some criticism to the company from its fans.
However, the company looks to be making adjustments to that narrative, as it has at times in the past, as ads were spotted on several different platforms over the past few days.
On Facebook and YouTube, ads were spotted that were evidently placed by Tesla. On Facebook, Tesla was advertising Full Self-Driving, and on YouTube, an ad for its Energy Division was spotted:
Tesla also threw up some ads on YouTube for Energy https://t.co/19DGQMjBsA pic.twitter.com/XQRfgaDKxY
— TESLARATI (@Teslarati) March 9, 2026
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
In 2022, Tesla’s U.S. ad spend was roughly $152,000, a rounding error compared to General Motors’ $3.6 billion the following year.
Traditional automakers averaged about $495 per vehicle on ads; Tesla spent $0. CEOElon Musk’s stance was explicit: “Tesla does not advertise or pay for endorsements,” he posted on X in 2019. “Instead, we use that money to make the product great.”
The strategy relied on word-of-mouth from delighted owners, Elon’s massive X following, viral product launches, media frenzy, and customer referrals. A great product, Musk argued, sells itself. It does not need Super Bowl spots or billboards. Resources poured into R&D instead, with Tesla investing nearly $3,000 per car, far more than rivals.
Tesla counters jab at lack of advertising with perfect response
This reluctance wasn’t arrogance; it was philosophy, and Musk made it clear that the money was better spent on the product. Heavy spending on ads was seen as wasteful when innovation and authenticity drove organic demand. Shareholder calls for marketing budgets were ignored.
The current shift, paid Facebook ads promoting Full Self-Driving (Supervised) and YouTube Shorts offering up to $1,000 back on Powerwall batteries, marks a pragmatic evolution.
These targeted campaigns coincide with the end of one-time FSD purchases and a March 31 deadline for FSD transfer eligibility on new vehicles.
This move likely signals Tesla adapting to scale, as well as a more concerted effort to stop misinformation regarding its platform. As EV competition intensifies and the company bets big on robotaxis and energy storage, pure organic buzz may not suffice to hit adoption targets. Selective digital ads allow precise, cost-effective reach without abandoning core principles.
If successful, it could foreshadow measured expansion into marketing, boosting high-margin software and home energy revenue while preserving Tesla’s innovative edge. But, it’s nice to see the strategy return, especially as Tesla has been reluctant to change its mind in the past.
News
Tesla Model Y outsells everything in three states, but Ford dominates
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
The Tesla Model Y was the best-selling vehicle in three different states in the U.S. last year, according to new data that shows the all-electric crossover outsold every other car in a few places. However, Ford widely dominated the sales figures with its popular F-Series of pickups.
According to new vehicle registration data compiled by Edmunds and visualized by Visual Capitalist, the Ford F-Series, encompassing models like the F-150, F-250, F-350, and F-450, claimed the title of best-selling vehicle in 29 states.
This dominance underscores the pickup truck’s unbreakable appeal across much of the country, particularly in rural, Midwestern, Southern, and Western states, where towing capacity, durability, and utility for work or recreation remain top priorities.
The Tesla Model Y is the best-selling vehicle in California, Washington, and Nevada
How many states will it dominate next year? https://t.co/ERyoyce42D
— TESLARATI (@Teslarati) March 9, 2026
The F-Series has held the crown as America’s overall best-selling vehicle for decades, a streak that continued strong into 2025 despite broader market shifts.
Yet, amid this truck-heavy reality, Tesla made a notable breakthrough. The Model Y emerged as the top-selling vehicle, not just the leading EV, but the outright best-seller in three key states: California, Nevada, and Washington.
These West Coast strongholds reflect regions with robust EV infrastructure, high environmental awareness, generous incentives, and tech-savvy populations. In California alone, nearly 50 percent of new vehicle registrations were electrified, far outpacing the national average of around 25 percent.
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Elsewhere, Japanese crossovers filled many gaps: Toyota’s RAV4 and Honda’s CR-V topped charts in several urban and densely populated Northeastern and Midwestern states, where fuel efficiency, reliability, and family-friendly features win out over larger trucks.
While Ford’s broad reach shows traditional preferences persist, at least for now, Tesla’s Model Y victories in high-population, influential states signal a gradual but undeniable transition toward electrification. As charging networks expand and battery technology improves, more states could follow the West Coast’s lead in the coming years.
This 2025 map captures a pivotal moment: pickup trucks still rule the majority, but EVs are carving out meaningful territory where consumer priorities align with sustainability and innovation. The road ahead promises continued competition between legacy giants and electric disruptors.
Elon Musk
Elon Musk shares updated Starship V3 maiden launch target date
The comment was posted on Musk’s official account on social media platform X.
SpaceX CEO Elon Musk shared a brief Starship V3 update in a post on social media platform X, stating the next launch attempt of the spacecraft could take place in about four weeks.
The comment was posted on Musk’s official account on social media platform X.
Musk’s update suggests that Starship Flight 12 could target a launch around early April, though the schedule will depend on several remaining milestones at SpaceX’s Starbase launch facility in Texas.
Among the key steps is testing and certification of the site’s new launch tower, launch mount, and tank farm systems. These upgrades will support the next generation of Starship vehicles.
Booster 19 is expected to roll to the launch site and be placed on the launch mount before returning to the production facility to receive its 33 Raptor engines. The booster would then return for a static fire test, which could mark the first time a Super Heavy booster equipped with Raptor V3 engines is fired on the pad.
Ship 39 is expected to undergo a similar preparation process. The vehicle will likely return to the production site to receive its six engines before heading to Massey’s test site for static fire testing.
Once both stages are prepared, the booster and ship will roll out to the launch site for the first full stack of a V3 Super Heavy and V3 Starship. A full wet dress rehearsal is expected to follow before any launch attempt.
Elon Musk has previously shared how SpaceX plans to eventually recover Starship’s upper stage using the launch tower’s robotic arms. Musk noted that the company will only attempt to catch the Starship spacecraft after two successful soft landings in the ocean. The approach is intended to reduce risk before attempting a recovery over land.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk wrote in a post on X.
Such a milestone would represent a major step toward the full reuse of the Starship system, which remains a central goal for SpaceX’s long-term launch strategy.
Tesla is ramping up its advertising strategy on social media
Tesla Model Y outsells everything in three states, but Ford dominates
