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.
News
Tesla breaks Norway’s all-time annual sales record with one month to spare
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Tesla shattered Norway’s decade-old annual sales record this month, overtaking Volkswagen’s long-standing milestone with over one month still left in the year. Backed by surging demand ahead of Norway’s upcoming VAT changes, Tesla has already registered 26,666 vehicles year-to-date, surpassing Volkswagen’s 2016 record of 26,572 units.
With November alone delivering 4,260 new registrations month-to-date, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Model Y drives historic surge in Norway
Tesla’s impressive momentum has been led overwhelmingly by the Model Y, which accounted for 21,517 of Norway’s registrations this year, as noted in a CarUp report, citing data from Elbil Statistik. The Model 3 followed with 5,087 units, while the Model S and Model X contributed 30 and 19 vehicles, respectively. Even the parallel-imported Cybertruck made the charts with 13 registrations.
Demand intensified sharply through autumn as Norwegian buyers rushed to secure deliveries before the country’s VAT changes take effect in January. The new regulation is expected to add roughly NOK 50,000 to the price of a Model Y, prompting a wave of early purchases that helped lift Tesla beyond the previous all-time record well before year-end.
With December still ahead, Tesla is positioned to extend its historic lead further. Needless to say, it appears that Norway will prove to be one of Tesla’s strongest markets in Europe.
FSD could be a notable demand driver in 2026
What’s especially interesting about Tesla’s feat in Norway is that the company’s biggest selling point today, Full Self-Driving (Supervised), is not yet available there. Tesla, however, recently noted in a post on X that the Dutch regulator RDW has reportedly committed to issuing a Netherlands national approval for FSD (Supervised) in February 2026.
The RDW posted a response to Tesla’s post, clarifying the February 2026 target but stating that FSD’s approval is not assured yet. “The RDW has drawn up a schedule with Tesla in which Tesla is expected to be able to demonstrate that FSD Supervised meets the requirements in February 2026. RDW and Tesla know what efforts need to be made to make a decision on this in February. Whether the schedule will be met remains to be seen in the coming period,” the RDW wrote in a post on its official wesbite.
If FSD (Supervised) does get approved next year, Tesla’s vehicles could gain a notable advantage over competitors, as they would be the only vehicles on the market capable of driving themselves on both inner-city streets and highways with practically no driver input.
Tesla Full Self-Driving v14.2 rolled out late last week to Early Access Program (EAP) members, but its best feature is not what you think.
While Tesla has done a great job of refining the performance of the Full Self-Driving suite with the latest update, there are some other interesting additions, including one that many owners have requested for some time.
Upon the release of v14.2, many owners recognized the Blue Dot next to the Autopilot tab in Vehicle Settings, notifying them of a new feature. What was included as a new feature in the new update was a Full Self-Driving stats feature, which now will show you how many miles you’ve traveled in total, and how many of those miles were driven using FSD:
🚨 The coolest non-driving change of Tesla Full Self-Driving v14.2 pic.twitter.com/HOJcFaV2Ny
— TESLARATI (@Teslarati) November 21, 2025
The feature seems to be more of a bragging rights thing than anything, but it will also give drivers a good idea of how many miles they are using Full Self-Driving for. Those who use telematics-based insurance services will also be able to run experiments of their own, and could determine whether their premiums are impacted by the use of Full Self-Driving, and whether it is more advantageous to use over manual driving.
Tesla rolled out numerous other improvements with Tesla Full Self-Driving v14.2, most notably, the company seems to have resolved previous complaints about brake stabbing and hesitation. This was a major complaint in v14.1, but Tesla has seemed to resolve it with this newest branch of the FSD suite.
There were also improvements in overall operation, and it was notably smoother than past versions. Speed Profiles are seemingly refined as well, as they seem much more fixed on how fast they will travel and how aggressive they will be with things like passing cars on freeways and lane changes.
In future updates, Tesla plans to add Parking Spot selection, along with overall operational improvements. However, CEO Elon Musk recently said that the next branch, Full Self-Driving v14.3, will be where the “final piece of the puzzle is placed.” Tesla believes it is close to solving autonomy, so v14.3 could be a major jump forward, but it remains to be seen.
Tesla has adjusted the functionality of a crucial climate feature as Winter weather has started to arrive throughout some parts of the United States. The new feature was highly requested by owners.
Tesla has a Cabin Overheat Protection feature that helps keep the temperature regulated if it reaches a certain threshold. Inversely, it can be used in cold weather as well, which will automatically warm the cabin if it sinks to a temperature that is too low for the owner’s comfort.
This is a great way to keep the cabin either warmed up just enough or cooled down just enough so that it never gets too hot or too cold. Extreme temperatures could damage certain parts of the vehicle or damage personal belongings that are kept inside the car.
Overheat protection is a great thing to have in hot climates like Arizona or Texas, especially with the Premium trims of the Model 3 and Model Y, which feature a glass roof.
Many owners appreciate the feature, but they argue that using it at home will utilize too much energy, especially during extreme temperatures. For a while, many Tesla fans have requested an option to disable this feature when the car is parked at home, which the company recently added, according to Not a Tesla App.
The feature is part of Software Version 2025.44.3, and the release notes state:
“You can now choose Exclude Home when Cabin Overheat Protection or No A/C is enabled.”
Tesla has been great at listening to what owners want with new features, and this is one that will reserve some charge and prevent unnecessary utilization of available power, especially as the car is parked at home. If owners want to condition the cabin or get the car ready for operation with a comfortable interior, they can utilize the Tesla app to adjust the climate.
Tesla breaks Norway’s all-time annual sales record with one month to spare
Tesla Full Self-Driving v14.2’s best new feature is not what you think
