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
Elon Musk’s Grok Bot is picking up the phone now, and the first calls are wild
Elon Musk wants Grok Bot users making phone calls, and one Comcast call saved $500.
Elon Musk is pushing Grok Bot users toward a feature that, until this week, few of them could actually use. “Try asking Grok @Bot to make calls!” Musk wrote on X Tuesday afternoon, quoting a demo from Sawyer Merritt that included audio from a live call.
Musk first announced calling on October 25, writing that the agent could “call someone or a business for you, make a request on your behalf, take notes on the response and send you a note summarizing the conversation.” There were no release notes at the time, and the feature only appeared in preview builds. That changed on Tuesday, when creator Peter Yang said all Grok Bot users should now be able to call US businesses. Musk reposted his demo.
Try asking Grok @Bot to make calls! — Elon Musk (@elonmusk) November 3, 2026
Yang’s call shows how far the feature goes. In his video, his bot dialed Comcast, worked through the phone menu, deflected small talk about the weather by saying it does not “have eyes on the sky,” turned down three upsells and used a cheaper fiber offer from competitor Sonic as leverage. His bill dropped from $84 to $45 per month on a faster plan, a savings of nearly $500 a year. The call ran about 25 minutes, and the bot paused to get Yang’s approval before accepting the final terms.
Merritt described what the user sees: a live transcript runs during the call, and when the business asks for something the bot does not know, an answer box pops up in the chat. The user types a reply and Grok relays it to the person on the line. Other users posted results Tuesday, including a $100 gift card recovered from Verizon Fios after a 51 minute call and a same day pediatric appointment, which Musk also shared. Not every call worked. One user said a rep refused to cancel a subscription once it was clear an AI was on the phone.
Grok @Bot can now call someone or a business for you, make a request on your behalf, take notes on the response and send you a note summarizing the conversation! — Elon Musk (@elonmusk) October 25, 2026
The Grok Bot terms require every call to identify itself as a virtual assistant calling on the user’s behalf and warn that calls may be recorded. Marketing, mass calling and impersonation are prohibited, and calling currently works only with US numbers.
The timing stands out. Days ago, users began hitting their weekly limits early, and Musk said the cost of serving Grok Bot was “unsustainably high relative to revenue,” as Teslarati reported. A call that spends most of its 25 or 50 minutes on hold is the kind of long running task that eats into usage, and SpaceXSI has not said how calls count against the weekly pool. Grok Bot is included from the $30 Premium tier of The X Subscription upward.
For Tesla owners, the agent has been in their cars since September 22 and is enabled across every Cybercab and Model Y Robotaxi. Musk has already pitched it for phone chores like scrubbing your number from spam call lists. Neither Tesla nor SpaceXSI has confirmed whether a bot can place one of these calls on request from inside the vehicle.
Tesla Full Self-Driving, which is now referred to in Europe as “Tesla Assisted Driving” (TAD), is getting hit with a handful of new changes at the hands of the Netherlands’ vehicle authority, the RDW (Rijksdienst voor het Wegverkeer).
On 3 November, the RDW announced that it has assessed and approved a set of changes to Tesla’s FSD Supervised driver-assistance system. The updates introduce the official European name TAD and impose stricter controls on the system’s speed behaviour.
The new name will appear on the in-car display, in the owner’s manual, and in all other driver-facing information. The change applies to Tesla models equipped with Tesla Assisted Driving and hardware version 4.0 (HW4) or later.
Importantly, the RDW stressed that the name change does not alter the system’s fundamental operation: it remains a supervised driver-assistance feature that supports the driver in performing driving tasks. The driver stays fully responsible for controlling the vehicle at all times.
Beyond the rebranding, the most significant functional adjustments concern speed settings. Drivers will still be able to set a speed margin, a percentage by which the system may exceed the applicable speed limit when necessary for safety or traffic flow. However, the maximum allowable margin has been reduced from +50% to a maximum of +10%.
In addition, every time the vehicle is started, the speed-margin setting will default to 0% deviation, and other speed-related functions will be disabled by default. These changes will be delivered through an over-the-air (OTA) software update from Tesla.
Tesla requested the RDW’s review of these “minor changes.” After evaluating how the modifications were implemented and how the system behaves, the authority found no adverse or unintended effects on the system’s operation or the vehicle’s driving behaviour. Consequently, the existing type approval remains valid under the same conditions and for the same use; no amendment or extension of the approval is required.
The RDW has informed the nine EU member states that have already accepted its type approval—Belgium, Denmark, Estonia, Croatia, Latvia, Lithuania, Slovenia, Slovakia and Czechia—about the updates. Broader EU-wide approval is still under discussion within the European Technical Committee on Motor Vehicles (TCMV). Those proceedings remain confidential, and the RDW has declined to comment on them.
The approved changes align with earlier discussions involving German authorities, which had advocated both for clearer naming to avoid misleading drivers and for a tighter speed offset.
By formally incorporating these adjustments while leaving the core type approval intact, the RDW has cleared the way for Tesla to roll out the updated TAD software via OTA to eligible vehicles in the Netherlands and the other countries that recognise the Dutch approval. The system continues to function strictly as supervised driver assistance, with the human driver remaining the responsible party.
Tesla has released a fresh point-of-view video capturing the next-generation Roadster’s headline stunt from its October 15 unveiling, giving fans a visceral look at the car as it jumps and rotates over its siblings within the company’s vehicle lineup.
Tesla posted the video on X today with the caption “POV you’re a flying car,” and the roughly 30-second clip reveals never-before-seen angles directly attached to the Roadster. It’s really unbelievable:
The sequence reveals the uncrewed prototype firing its cold-gas thrusters, lifting off the ground, and barrel-rolling fully inverted while sailing over a staged lineup that includes a Model 3, Model Y, Cybercab, Cybertruck, and Tesla Semi.
Here’s an image of it that Tesla shared right after the unveiling event for a better perspective of what you’re looking at:
Credit: Tesla
There are also some other cool takeaways from the video, including the shift to the inverted-ramp demonstration. The Roadster uses its underbody suction-fan system to climb, then lock itself upside down on the ramp.
This generates multiple Gs of downforce, which then translates into the Roadster releasing these systems to enable a mid-air roll. The car then settles on its wheels gently as thruster vapor provides a perfect cushion.
All of the runs at SpaceX’s McGregor, Texas, test site, which is where the unveiling took place, were autonomous. Elon Musk stated this was a safety measure.
Tesla shows what Roadster drivers will see on screen before thruster activation
Tesla’s vehicle-engineering chief Lars Moravy dubbed the mid-air roll the “kickflip,” prompting Musk to quip that Tony Hawk would be proud and that the car could clear even more of the fleet. The thrusters, which use high-pressure compressed air and fast electric actuators, provide the precise, short-duration force needed for both the launch and the controlled rotation; the same hardware is intended for production versions of the higher-end Thrust and Rocket trims.
The second-generation Roadster, first teased in 2017, has been delayed repeatedly. Musk has indicated production is targeted for 2028.
While the company has yet to publish full pricing or independent performance verification, the combination of extreme acceleration, ground-effect suction, and limited flight capability has already positioned the car as one of the most theatrical EV reveals in years.
Musk has also said Tesla plans a dedicated Texas test track so future owners can experience the maneuvers themselves, far from public roads. The new POV clip simply lets everyone else feel a fraction of that experience from the car’s own cameras.
Elon Musk’s Grok Bot is picking up the phone now, and the first calls are wild
Tesla Full Self-Driving gets hit with some adjustments in Europe
