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.
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Tesla FSD (Supervised) could be approved in the Netherlands next month: Musk
Musk shared the update during a recent interview at Giga Berlin.
Tesla CEO Elon Musk shared that Full Self-Driving (FSD) could receive regulatory approval in the Netherlands as soon as March 20, potentially marking a major step forward for Tesla’s advanced driver-assistance rollout in Europe.
Musk shared the update during a recent interview at Giga Berlin, noting that the date was provided by local authorities.
“Tesla has the most advanced real-world AI, and hopefully, it will be approved soon in Europe. We’re told by the authorities that March 20th, it’ll be approved in the Netherlands,’ what I was told,” Musk stated.
“Hopefully, that date remains the same. But I think people in Europe are going to be pretty blown away by how good the Tesla car AI is in being able to drive.”
Tesla’s FSD system relies on vision-based neural networks trained on real-world driving data, allowing vehicles to navigate using cameras and AI rather than traditional sensor-heavy solutions.
The performance of FSD Supervised has so far been impressive. As per Tesla’s safety report, Full Self-Driving Supervised has already traveled 8.3 billion miles. So far, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles.
In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
If approval is granted on March 20, the Netherlands could become the first European market to greenlight Tesla’s latest supervised FSD (Supervised) software under updated regulatory frameworks. Tesla has been working to secure expanded FSD access across Europe, where regulatory standards differ significantly from those in the United States. Approval in the Netherlands would likely serve as a foundation for broader EU adoption, though additional country-level clearances may still be required.
Elon Musk
Elon Musk estimates Tesla Semi could reach Europe next year
“We’ve got the Tesla Semi coming out, the heavy truck, and that’ll be going to Europe hopefully next year,” Musk said.
Tesla is preparing to expand its all-electric Semi truck program to Europe, with CEO Elon Musk indicating that the Class 8 vehicle could arrive in the region 2027.
Musk shared his update during an interview about Giga Berlin with plant manager André Thierig, which was posted on X by the official Tesla Manufacturing account.
“We’ve got the Tesla Semi coming out, the heavy truck, and that’ll be going to Europe hopefully next year,” he said.
Tesla has already begun limited production and customer deployments of the Tesla Semi in the United States, with the company working to scale output through the Semi factory near Giga Nevada. Considering Musk’s comments, it appears that a European rollout would be the next phase of the vehicle’s expansion beyond North America.
Musk’s use of the word “hopefully” leaves room for flexibility, but the remark signals that Europe is next in Tesla’s commercial expansion plans.
Musk has consistently argued that electrification should extend beyond passenger vehicles. During the same interview, he reiterated his view that “all ground transport should be electric,” adding that ships, and eventually aircraft, would follow.
The Semi plays a central role in that strategy. Heavy-duty freight remains one of the most emissions-intensive segments of road transport, and European regulators have increasingly pushed for lower-emission commercial fleets.
Tesla recently refreshed the Semi lineup on its official website, listing two variants: Standard and Long Range. The Standard trim offers up to 325 miles of range with an energy consumption rating of 1.7 kWh per mile, while the Long Range version provides up to 500 miles, which should be more than ample for European routes.
Elon Musk
Tesla Cybercab coming next to Giga Berlin, Optimus possibly after
“From a next major product standpoint, I think most likely is the Tesla Cybercab,” Musk said.
Tesla could add the Cybercab and Optimus humanoid robot to the production lineup at Giga Berlin, as per recent comments from CEO Elon Musk.
During a recent interview with Giga Berlin plant manager André Thierig, Musk identified the Cybercab as the most likely next major product for the German factory, with Optimus potentially following after.
“From a next major product standpoint, I think most likely is the Tesla Cybercab,” Musk said. He added that there are also “possibilities of Tesla Optimus” being produced in the facility.
Tesla has already begun production of the Cybercab in Giga Texas, with volume production expected to ramp this year. Based on Musk’s comments, it appears that if conditions align in Europe, Giga Berlin could eventually join that effort.
The CEO’s comments about Optimus coming to Gigafactory Berlin are quite unsurprising too considering that Musk has mentioned in the past that the humanoid robot will likely be Tesla’s highest volume product in the long run.
Giga Berlin will likely be able to produce mass volumes of Optimus, as the Model S and Model X lines being converted to an Optimus line in the Fremont Factory are already expected to produce 1 million units of the humanoid robot annually.
Apart from his comments about the Cybercab and Optimus, Elon Musk also confirmed that Giga Berlin has started ramping battery cell production and will continue expanding Model Y output, particularly as supervised Full Self-Driving (FSD) gains regulatory approvals in Europe.
Taken together, the remarks suggest Berlin’s role could evolve beyond vehicle assembly into a broader multi-product manufacturing hub, not just a regional Model Y plant.