News
Musk’s OpenAI will train artificial intelligence through video game ‘Universe’
Elon Musk’s OpenAI will introduce Universe, a virtual training ground aimed at teaching AI to play video games, use apps and even interact with websites. OpenAI, the artificial intelligence research company backed by the Tesla founder and billionaire entrepreneur, defines Universe in a blog post as “a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other applications.”
Put simply, Universe will provide a gym that allows AI agents to go beyond their specialized knowledge of an individual environment to something approaching common sense. “Any task a human can complete with a computer.” Using a VNC (Virtual Network Computing) remote desktop, it allows the AI to control the game or app using a virtual keyboard and mouse, and to see its output by analyzing the pixels displayed on the screen. It’s essentially an interface to the company’s Gym toolkit for developing reinforcement algorithms, a type of machine learning system.
“Our goal is to develop a single AI agent that can flexibly apply its past experience on Universe environments to quickly master unfamiliar, difficult environments, which would be a major step towards general intelligence,” OpenAI says. As an example, it points to success of Google’s DeepMind AlphaGo initiative, which defeated the world champion human Go player earlier this year. While that success was impressive, when faced with a different challenge, the agent would have to go back to square one and learn the new environment through millions of trial and error steps.
OpenAI hopes to expand the Reward Learning (RL) lessons learned in one environment so that an AI agent can build upon past experience to succeed in unfamiliar environments.
We're releasing Universe, a platform for measuring and training AI agents: https://t.co/bx7OjMDaJK
— OpenAI (@OpenAI) December 5, 2016
-->
OpenAI says in its blog post, “Systems with general problem solving ability — something akin to human common sense, allowing an agent to rapidly solve a new hard task — remain out of reach. One apparent challenge is that our agents don’t carry their experience along with them to new tasks. In a standard training regime, we initialize agents from scratch and let them twitch randomly through tens of millions of trials as they learn to repeat actions that happen to lead to rewarding outcomes. If we are to make progress towards generally intelligent agents, we must allow them to experience a wide repertoire of tasks so they can develop world knowledge and problem solving strategies that can be efficiently reused in a new task.”
Prior to Universe, the largest RL resource consisted of 55 Atari games — the Atari Learning Environment, says The Register. But Universe will begin with the largest library of games and resources ever assembled. “Out of the box, Universe comprises thousands of games (e.g. Flash games, slither.io, Starcraft), browser-based tasks (e.g. form filling), and applications (e.g. fold.it),” the OpenAI blog claims. Gaming companies that are cooperating with OpenAI include Flash, Microsoft – OpenAI announced a strategic partnership with the Redmond-based software giant – EA, Valve, Nvidia, Zachtronics, Wolfram, and others.
Universe is about more than gaming. It’s main focus is on training AI agents to complete common online tasks with speed and accuracy. “Today, our agents are mostly learning to interact with common user interface elements like buttons, lists and sliders, but in the future they could complete complex tasks, such as looking up things they don’t know on the internet, managing your email or calendar, completing Khan Academy lessons, or working on Amazon Mechanical Turk and CrowdFlower tasks.”
The OpenAI blog post introducing Universe gives a long and detailed accounting of how Universe was created and what it hopes to accomplish. At the end, it provides a number of ways that companies and individuals can contribute to the process. It’s fascinating reading for anyone interested in what the future of computing is likely to be.
-->There is also a darker side to artificial intelligence, which Elon Musk refers to as “summoning the Devil.” As The Register suggests, “While making software smarter may appeal to researchers, society as a whole appears to be increasingly unnerved by the prospect. Beyond the speculative fears about malevolent AI and more realistic concerns about the automation of military weaponry, companies and individuals already have trouble dealing with automated forms of interaction.”
One area of concern is that AI agents may one day be able to reactivate themselves after being shut down by human controllers. What was once the stuff of science fiction such as Minority Report and I, Robot could one day become all too real.
OpenAI Universe has been open-sourced on Github for those that may be interested in testing their own video game bot. We’ve included a video below showing OpenAI in action.
-->
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
