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 doubles down on Robotaxi launch date, putting a big bet on its timeline
Tesla continues to double down on its June goal to launch the Robotaxi ride-hailing platform.
Tesla has doubled down on its potential launch date for the Robotaxi ride-hailing platform, which will utilize the Cybercab and other vehicles in its lineup to offer driverless rides in Austin, Texas.
Tesla said earlier this year that it was in talks with the City of Austin to launch its first Robotaxi rides, and it planned to launch the platform in June.
This has been a widely discussed timeline in the community, with some confident in the company’s ability to offer it based on the progress of the Full Self-Driving suite.
However, others are skeptical of it based on Tesla’s history of meeting timelines, especially regarding its rollout of FSD.
Nevertheless, Tesla was asked when it would be able to offer Robotaxi rides and where, and it clearly is not backing down from that June date:
In Austin, 🔜
— Tesla (@Tesla) April 18, 2025
It is getting to a point where Tesla is showing incredible confidence regarding the rollout of the Robotaxi in June. We have not seen this kind of reiteration regarding the rollout of something regarding autonomy from Tesla at any point in the past.
CEO Elon Musk has even been increasingly confident that Tesla will meet its target. Earlier this week, he said the vehicles will be able to roll off production lines and drive themselves straight to a customer’s house:
Elon Musk continues to push optimistic goal for Tesla Full Self-Driving
There could be some discussion of an acceptable grace period, as the timeline for the Robotaxi rollout could still be considered a success, even if it were a month or two late. However, if it were pushed back further into 2025 or even 2026, skepticism regarding these timelines would continue to persist.
As of right now, it seems Tesla is extremely confident it will meet its goal.
Among the several companies that have had the opportunity to add Tesla Semi all-electric Class 8 trucks to their fleets earlier than others, the most notable is arguably Frito-Lay, which has utilized the vehicle for a couple of years now.
However, as their fleet is making more local runs and there are undoubtedly plans to expand to more Semi units, the company has recognized it needs additional Megachargers to give juice to their trucks.
As a result, Frit-Lay decided to build more chargers at their Bakersfield, California facility, according to new permits filed by Tesla:
🚨 Frito-Lay is building an 8-stall Megacharger array at its factory in Bakersfield, California https://t.co/qARfJjogXF pic.twitter.com/gvorIVxsoc
— TESLARATI (@Teslarati) April 18, 2025
There are already chargers at the company’s Modesto, California, factory, but Bakersfield is roughly three hours south of Modesto.
Interestingly, Tesla is calling the chargers “Semi Chargers” in the filing, potentially hinting that it is no longer referring to them as “Megachargers,” as they have been in the past. This is a relatively minor detail, but it is worth taking note of.
In 2022, Frito-Lay began installing these chargers in preparation for the Semi to become one of the company’s main logistics tools for deliveries in California and surrounding states.
Frito-Lay is not the only company that has chosen to utilize the Tesla Semi for these early “pilot” runs. PepsiCo has also been a company that has used the Semi very publicly over the past two years.
Additionally, the Tesla Semi participated in the Run on Less EV trucking study back in late 2023, where it managed to complete a 1,000-mile run in a single day:
Tesla Semi logs 1,000-mile day in Run on Less EV trucking study
Tesla is planning to ramp production of the Semi late this year. On the Q4 2024 Earnings Call, VP of Vehicle Engineering Lars Moravy said the company would be focusing on the first builds of the Semi’s high-volume design late this year before ramping production in the early portion of 2026:
“We just closed out the Semi factory roof and walls last week in Reno, a schedule which is great with the weather. In Reno, you never know what’s going to happen. But we’re prepping for mechanical installation of all the equipment in the coming months. The first builds of the high-volume Semi design will come late this year in 2025 and begin ramping early in 2026.”
Tesla will build these units at a new Semi production facility located in Reno near its Gigafactory. The company is getting closer to finishing construction, as a drone video from this morning showed the facility is coming along at a good pace:
🚨Tesla Semi factory progress update: pic.twitter.com/dlzIjKwfT3
— TESLARATI (@Teslarati) April 18, 2025
News
Tesla Cybercab no longer using chase vehicles in Giga Texas
Elon Musk expects Tesla to produce about 2 million Cybercab units per year.
The Tesla Cybercab is the company’s first vehicle that is designed solely for autonomous driving. And while the spacious two-seater is expected to start volume production in 2026, the vehicle’s development seems to be moving at a steady pace.
This was hinted at in recent images taken by a longtime Tesla watcher at the Giga Texas complex.
Tesla Cybercab Production
The Cybercab will likely be Tesla’s highest volume vehicle, with CEO Elon Musk stating during the company’s Q1 2025 All-Hands meeting that the robotaxi’s production line will resemble a high-speed consumer electronics line. Part of this is due to Tesla’s unboxed process, which should make the Cybercab easy to produce.
Elon Musk expects Tesla to produce about 2 million Cybercabs per year. And while the vehicle is expected to see volume production at Giga Texas next year, the CEO noted that the vehicle will be manufactured in more than one facility when it is fully ramped.
No More Chase Cars
While the Cybercab is not yet being produced, Tesla is evidently busy testing the vehicle’s fully autonomous driving system. This could be hinted at by the Cybercabs that have been spotted around the Giga Texas complex over the past months. Following last year’s We, Robot event, drone operators such as longtime Tesla watcher Joe Tegtmeyer have spotted Cybercabs being tested around the Giga Texas complex.
At the time, videos from Giga Texas showed that the driverless Cybercabs were always accompanied by a manually driven Model 3 validation chase car. This was understandable considering that the Giga Texas complex features pedestrians, other cars, and construction areas. As per the drone operator in a recent post on social media platform X, however, Tesla seems to have stopped using chase cars for its Cybercab tests a few weeks ago.
Aggressive Tints
The reasons behind this alleged update are up for speculation, though it would not be surprising if the Cybercab’s autonomous driving system could now safely navigate the Gigafactory Texas complex on its own. Interestingly enough, the Cybercabs that were recently photographed by the drone operator featured very aggressive tint, making it almost impossible to make out the interior of the robotaxi.
This is quite interesting as other Cybercabs that have been spotted around Giga Texas were only equipped with semi-dark tints. One such vehicle that was spotted in February was even speculated to be fitted with an apparent steering wheel.
Tesla doubles down on Robotaxi launch date, putting a big bet on its timeline
Tesla Semi fleet from Frito-Lay gets more charging at Bakersfield factory
Tesla Cybercab no longer using chase vehicles in Giga Texas
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