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.
Tesla recently released Full Self-Driving (FSD) v14.2.1, its latest version, but the tinkering with Speed Profiles has perhaps gone too far.
We try to keep it as real as possible with Full Self-Driving operation, and we are well aware that with the new versions, some things get better, but others get worse. It is all part of the process with FSD, and refinements are usually available within a week or so.
However, the latest v14.2.1 update has brought out some major complaints with Speed Profiles, at least on my end. It seems the adjustments have gone a tad too far, and there is a sizeable gap between Profiles that are next to one another.
Tesla FSD v14.2.1 first impressions:
✅ Smooth, stress-free highway operation
✅ Speed Profiles are refined — Hurry seems to be limited to 10 MPH over on highways. Switching from Mad Max to Hurry results in an abrupt braking pattern. Nothing of concern but do feel as if Speed…— TESLARATI (@Teslarati) November 29, 2025
The gap is so large that changing between them presents a bit of an unwelcome and drastic reduction in speed, which is perhaps a tad too fast for my liking. Additionally, Speed Profiles seem to have a set Speed Limit offset, which makes it less functional in live traffic situations.
Before I go any further, I’d like to remind everyone reading this that what I am about to write is purely my opinion; it is not right or wrong, or how everyone might feel. I am well aware that driving behaviors are widely subjective; what is acceptable to one might be unacceptable to another.
Speed Profiles are ‘Set’ to a Speed
From what I’ve experienced on v14.2.1, Tesla has chosen to go with somewhat of a preset max speed for each Speed Profile. With ‘Hurry,’ it appears to be 10 MPH over the speed limit, and it will not go even a single MPH faster than that. In a 55 MPH zone, it will only travel 65 MPH. Meanwhile, ‘Standard’ seems to be fixed at between 4-5 MPH over.
This is sort of a tough thing to have fixed, in my opinion. The speed at which the car travels should not be fixed; it should be more dependent on how traffic around it is traveling.
-->It almost seems as if the Speed Profile chosen should be more of a Behavior Profile. Standard should perform passes only to traffic that is slower than the traffic. If traffic is traveling at 75 MPH in a 65 MPH zone, the car should travel at 75 MPH. It should pass traffic that travels slower than this.
Hurry should be more willing to overtake cars, travel more than 10 MPH over the limit, and act as if someone is in a hurry to get somewhere, hence the name. Setting strict limits on how fast it will travel seems to be a real damper on its capabilities. It did much better in previous versions.
Some Speed Profiles are Too Distant from Others
This is specifically about Hurry and Mad Max, which are neighbors in the Speed Profiles menu. Hurry will only go 10 MPH over the limit, but Mad Max will travel similarly to traffic around it. I’ve seen some people say Mad Max is too slow, but I have not had that opinion when using it.
In a 55 MPH zone during Black Friday and Small Business Saturday, it is not unusual for traffic around me to travel in the low to mid-80s. Mad Max was very suitable for some traffic situations yesterday, especially as cars were traveling very fast. However, sometimes it required me to “gear down” into Hurry, especially as, at times, it would try to pass slower traffic in the right lane, a move I’m not super fond of.
We had some readers also mention this to us:
-->The abrupt speed reduction when switching to a slower speed profile is definitely an issue that should be improved upon.
— David Klem (@daklem) November 29, 2025
After switching from Mad Max to Hurry, there is a very abrupt drop in speed. It is not violent by any means, but it does shift your body forward, and it seems as if it is a tad drastic and could be refined further.
-->News
Tesla’s most affordable car is coming to the Netherlands
The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
Tesla is preparing to introduce the Model 3 Standard to the Netherlands this December, as per information obtained by AutoWeek. The trim is expected to launch at €36,990, making it the most affordable Model 3 the Dutch market has seen in years.
While Tesla has not formally confirmed the vehicle’s arrival, pricing reportedly comes from a reliable source, the publication noted.
Model 3 Standard lands in NL
The U.S. version of the Model 3 Standard provides a clear preview of what Dutch buyers can expect, such as a no-frills configuration that maintains the recognizable Model 3 look without stripping the car down to a bare interior. The panoramic glass roof is still there, the exterior design is unchanged, and Tesla’s central touchscreen-driven cabin layout stays intact.
Cost reductions come from targeted equipment cuts. The American variant uses fewer speakers, lacks ventilated front seats and heated rear seats, and swaps premium materials for cloth and textile-heavy surfaces. Performance is modest compared with the Premium models, with a 0–100 km/h sprint of about six seconds and an estimated WLTP range near 550 kilometers.
Despite the smaller battery and simpler suspension, the Standard maintains the long-distance capability drivers have come to expect in a Tesla.
-->Pricing strategy aligns with Dutch EV demand and taxation shifts
At €36,990, the Model 3 Standard fits neatly into Tesla’s ongoing lineup reshuffle. The current Model 3 RWD has crept toward €42,000, creating space for a more competitive entry-level option, and positioning the new Model 3 Standard comfortably below the €39,990 Model Y Standard.
The timing aligns with rising Dutch demand for affordable EVs as subsidies like SEPP fade and tax advantages for electric cars continue to wind down, EVUpdate noted. Buyers seeking a no-frills EV with solid range are then likely to see the new trim as a compelling alternative.
With the U.S. variant long established and the Model Y Standard already available in the Netherlands, the appearance of an entry-level Model 3 in the Dutch configurator seems like a logical next step.
News
Tesla Model Y is still China’s best-selling premium EV through October
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Tesla Model Y led China’s top-selling pure electric vehicles in the 200,000–300,000 RMB segment through October 2025, as per Yiche data compiled from China Passenger Car Association (CPCA) figures.
The premium-priced SUV outpaced rivals despite a competitive field, while the Model 3 also secured an impressive position.
The Model Y is still unrivaled
The Model Y’s dominance shines in Yiche’s October report, topping the chart for vehicles priced between 200,000 and 300,000 RMB. With 312,331 units retailed from January through October, the all-electric crossover was China’s best-selling EV in the 200,000–300,000 RMB segment.
The Xiaomi SU7 is a strong challenger at No. 2 with 234,521 units, followed by the Tesla Model 3, which achieved 146,379 retail sales through October. The Model Y’s potentially biggest rival, the Xiaomi YU7, is currently at No. 4 with 80,855 retail units sold.
Efficiency kings
The Model 3 and Model Y recently claimed the top two spots in Autohome’s latest real-world energy-consumption test, outperforming a broad field of Chinese-market EVs under identical 120 km/h cruising conditions with 375 kg payload and fixed 24 °C cabin temperature. The Model 3 achieved 20.8 kWh/100 km while the Model Y recorded 21.8 kWh/100 km, reaffirming Tesla’s efficiency lead.
The results drew immediate attention from Xiaomi CEO Lei Jun, who publicly recognized Tesla’s advantage while pledging continued refinement for his brand’s lineup.
-->“The Xiaomi SU7’s energy consumption performance is also very good; you can take a closer look. The fact that its test results are weaker than Tesla’s is partly due to objective reasons: the Xiaomi SU7 is a C-segment car, larger and with higher specifications, making it heavier and naturally increasing energy consumption. Of course, we will continue to learn from Tesla and further optimize its energy consumption performance!” Lei Jun wrote in a post on Weibo.
Tesla tinkering with Speed Profiles on FSD v14.2.1 has gone too far
Tesla’s most affordable car is coming to the Netherlands
