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 Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig.
Tesla’s Giga Berlin plant manager is now under investigation after a complaint from trade union IG Metall, escalating tensions ahead of next month’s works council elections.
Prosecutors in Frankfurt (Oder) confirmed they have opened a defamation probe into Gigafactory Berlin plant manager André Thierig, as per a report from rbb24.
A spokesperson for the Frankfurt (Oder) public prosecutor’s office confirmed to the German Press Agency that an investigation for defamation has been initiated following a criminal complaint filed by IG Metall against Thierig.
The dispute stems from Tesla’s allegation that an IG Metall representative secretly recorded a works council meeting using a laptop. In a post on X, Thierig described the incident as “truly beyond words,” stating that police were called and a criminal complaint was filed.
“What has happened today at Giga Berlin is truly beyond words! An external union representative from IG Metall attended a works council meeting. For unknown reasons, he recorded the internal meeting and was caught in action! We obviously called police and filed a criminal complaint!” Thierig wrote in a post on X.
Police later confirmed that officers did seize a computer belonging to an IG Metall member at Giga Berlin. Prosecutors are separately investigating the union representative on suspicion of breach of confidentiality and violation of Germany’s Works Constitution Act.
IG Metall has denied Tesla’s allegations. The union claimed that its member offered to unlock the laptop for review in order to accelerate the investigation and counter what it called false accusations. The union has also sought a labor court injunction to “prohibit Thierig from further disseminating false claims.”
The clash comes as Tesla employees prepare to vote in works council elections scheduled for March 2–4, 2026. Approximately 11,000 Giga Berlin workers are eligible to participate in the elections.
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Tesla wins FCC approval for wireless Cybercab charging system
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment.
Tesla has received approval from the Federal Communications Commission (FCC) to use Ultra-Wideband (UWB) radio technology in its wireless EV charging system.
The decision grants Tesla a waiver that allows the Cybercab’s wireless charging system to be installed on fixed outdoor equipment. This effectively clears a regulatory hurdle for the company’s planned wireless charging pad for the autonomous two-seater.
Tesla’s wireless charging system is described as follows in the document: “The Tesla positioning system is an impulse UWB radio system that enables peer-to-peer communications between a UWB transceiver installed on an electric vehicle (EV) and a second UWB transceiver installed on a ground-level pad, which could be located outdoors, to achieve optimal positioning for the EV to charge wirelessly.”
The company explained that Bluetooth is first used to locate the charging pad. “Prior to the UWB operation, the vehicular system uses Bluetooth technology for the vehicle to discover the location of the ground pad and engage in data exchange activities (which is not subject to the waiver).”
Once the vehicle approaches the pad, the UWB system briefly activates. “When the vehicle approaches the ground pad, the UWB transceivers will operate to track the position of the vehicle to determine when the optimal position has been achieved over the pad before enabling wireless power charging.”
Tesla also emphasized that “the UWB signals occur only briefly when the vehicle approaches the ground pad; and mostly at ground level between the vehicle and the pad,” and that the signals are “significantly attenuated by the body of the vehicle positioned over the pad.”
As noted by Tesla watcher Sawyer Merritt, the FCC ultimately granted Tesla’s proposal since the Cybercab’s wireless charging system’s signal is very low power, it only turns on briefly while parking, it works only at very short range, and it won’t interfere with other systems.
While the approval clears the way for Tesla’s wireless charging plans, the Cybercab does not appear to depend solely on the new system.
Cybercab prototypes have frequently been spotted charging at standard Tesla Superchargers across the United States. This suggests the vehicle can easily operate within Tesla’s existing charging network even as the wireless system is developed and deployed. With this in mind, it would not be surprising if the first batches of the Cybercab that are deployed and delivered to consumers end up being charged by regular Superchargers.
Elon Musk
Tesla posts updated FSD safety stats as owners surpass 8 billion miles
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla has posted updated safety stats for Full Self-Driving Supervised. The results were shared by the electric vehicle maker as FSD Supervised users passed more than 8 billion cumulative miles.
Tesla shared the milestone in a post on its official X account.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, 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.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint
Tesla wins FCC approval for wireless Cybercab charging system
