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 Semi factory receives giant production equipment
The massive machine was transported to the Semi factory using two diesel trucks and a triple trailer.
Tesla seems determined to kick off the production of the Tesla Semi sometime this year at its Nevada factory.
This was hinted at by the arrival of massive production equipment to the Semi’s manufacturing site near Giga Nevada.
New equipment
What appeared to be a massive stamping machine has been transported to the Giga Texas complex. Spotted by longtime drone operator and Tesla Semi advocate @HinrichsZane, the massive contraption is so large and heavy that a single semi truck and trailer were not enough to move it. Instead, the massive machine was shipped to the Semi factory using two diesel trucks and a triple trailer.
The machine was fully covered in the videos from Nevada, but based on its shape and size, it appears that it is a stamping press for the Class 8 all-electric truck. Tesla is a pioneer in the use of Megacasts in the automotive industry, so it makes sense for the company to use a Giga Press for the Semi’s production as well.
Ambitious goals
The Tesla Semi factory is expected to produce a whopping 50,000 units of the Class 8 all-electric truck annually when it is fully ramped. At that output, the facility would be one of the country’s highest-volume plants for semi trailers, electric or otherwise. In a video posted earlier this year, Dan Priestley, who leads the Semi program at Tesla, stated that the company is looking to achieve volume production over the coming quarters.
This should allow the Tesla Semi factory to mass produce the vehicle by 2026. Tesla CEO Elon Musk reiterated this timeframe recently, when he responded to a post on social media platform X about Microsoft co-founder Bill Gates being bearish about battery electric semi trucks. “Tesla Semi will be in volume production next year,” Musk said in his post, which also included a laughing emoji.
Check out the drone operator’s recent footage of the Tesla Semi factory in the video below.
Elon Musk
Elon Musk argues lidar and radar make self driving cars more dangerous
The CEO is not just stating that using sensors like lidar is unnecessary to achieve self-driving.
Elon Musk is taking a firmer stance in the vision vs lidar debate for autonomous driving. In his more recent comments, the CEO is not just stating that using sensors like lidar is unnecessary to achieve self-driving.
Musk is stating that using lidar actually makes self-driving cars more dangerous.
Uber CEO’s comments
During a recent interview, Uber CEO Dara Khosrowshahi shared his thoughts on the autonomy race. As per the CEO, he is still inclined to believe that Waymo’s approach, which requires outfitting cars with equipment such as lidar and radar, is necessary to achieve superhuman levels of safety for self-driving cars.
“Solid state LiDAR is $500. Why not include lidar as well in order to achieve super human safety. All of our partners are using a combination of camera, radar and LiDAR, and I personally think that’s the right solution, but I could be proven wrong,” the Uber CEO noted.
Elon Musk’s rebuttal
In response to the Uber CEO’s comments, Elon Musk stated that lidar and radar, at least based on Tesla’s experience, actually reduce safety instead of improving it. As per the Tesla CEO, there are times when sensors such as lidar and radar disagree with cameras. This creates sensor ambiguity, which, in turn, creates more risk. Musk then noted that Tesla has seen an improvement in safety once the company focused on a vision only approach.
“Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins? This sensor ambiguity causes increased, not decreased, risk. That’s why Waymos can’t drive on highways. We turned off the radars in Teslas to increase safety. Cameras ftw,’ Musk wrote.
Musk’s comments are quite notable as Tesla was able to launch a dedicated Robotaxi pilot in Austin and the Bay Area using its vision-based autonomous systems. The same is true for FSD, which is quickly becoming notably better than humans in driving.
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Tesla Model Y L sold out for September 2025
This was hinted at in Tesla China’s configurator for the all-electric crossover.
It appears that the Tesla Model Y L has been sold out in China for September 2025. This was hinted at in Tesla China’s configurator for the all-electric crossover.
Model Y L deliveries
Since the Model Y L’s official launch earlier this month, Tesla has been pretty consistent in the idea that the extended wheelbase variant of its best-selling vehicle will see its first deliveries sometime in September. This was quite an impressive timeframe for Tesla, considering that the Model Y L has only been launched this August.
Nevertheless, both Tesla China’s Model Y configurator and comments from company executives have noted that the vehicle will see its first customer deliveries in September. “Tesla cars are fun to drive alone, whether you have children or how many children, this car can meet all your needs. We will deliver in September and wait for you to get in the car,” Tesla China VP Grace Tao wrote on Weibo.
October 2025 deliveries
A look at Tesla China’s order page as of writing shows that the earliest deliveries for the Model Y L, if ordered today, would be October 2025 instead. This suggests that the six-seat Model Y variant has effectively been sold out for September. This bodes well for the vehicle, and it suggests that it is a variant that may be able to raise Tesla’s sales numbers in China, as well as territories where the Model Y L could be exported.
Rumors of the Model Y L’s strong sales have been abounding. After the vehicle’s launch, industry watchers estimated that Tesla China has received over 35,000 orders for the Model Y L in just one day. Later estimates suggested that the Model Y L’s orders have breached the 50,000 mark.
Tesla Semi factory receives giant production equipment
Elon Musk argues lidar and radar make self driving cars more dangerous
Tesla Model Y L sold out for September 2025
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