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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 seeks engineer to make its iOS Robotaxi app feel “magical”
It appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.
Tesla is hiring an iOS Engineer for its Robotaxi app team, with the job posting emphasizing the creation of polished experiences that make the service not just functional, but “magical.”
Needless to say, it appears that Tesla is hard at work in ensuring that users of its Robotaxi service are provided with the best user experience possible.
Robotaxi App features
As observed by Tesla community members, Tesla has gone live with a job listing for an iOS Engineer for its Robotaxi App. The job listing mentions the development of a “core mobile experience that enables customers to summon, track, and interact with a driverless vehicle. From requesting a ride to enabling frictionless entry, from trip planning to real-time vehicle status and media control.”
Interestingly enough, the job listing also mentioned the creation of polished experiences that make the Robotaxi more than just functional. “You will take full ownership of features—from architecture design to robust implementation—delivering delightful and polished experiences that make Robotaxi not just functional, but magical,” Tesla noted in its job listing.
Apple’s “magical” marketing
Tesla’s use of the word “magical” when referring to the Robotaxi app mirrors the marketing used by Apple for some of its key products. Apple typically uses the word when referring to products or solutions that transform complex technology into something that feels effortless, simple, and natural to daily life. Products such as the AirPods’ seamless pairing with the iPhone and FaceID’s complex yet simple-to-use security system have received Apple’s “magical” branding.
With this in mind, Tesla seems intent on developing a Robotaxi app that is sophisticated, but still very easy to use. Tesla already has extensive experience in this area, with the Tesla App consistently being hailed by users as one of the best in its segment. If Tesla succeeds in making the Robotaxi app worthy of its “magical” branding, then it wouldn’t be a surprise if the service sees rapid adoption even among mainstream consumers.
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Tesla is coming to Estonia and Latvia in latest European expansion: report
Tesla seems to be accelerating its regional expansion following its recent launch in Lithuania.
Recent reports have indicated that Tesla has taken a step toward entering the Baltic states by registering new subsidiaries in Latvia and Estonia.
Filings suggest that Tesla is accelerating its regional expansion following its recent launch in Lithuania, with service centers likely coming before full sales operations.
Official entities in Latvia and Estonia
Tesla has established two new legal entities, Tesla Latvia SIA and Tesla Estonia OÜ, both owned by Tesla International B.V., as noted in an EV Wire report. Corporate records show the Estonian entity was formed on December 16, 2025, while the Latvian subsidiary was registered earlier, on November 7.
Both entities list senior Tesla executives on their boards, including regional and finance leadership responsible for new market expansion across Europe. Importantly, the entities are registered under “repair and maintenance of motor vehicles,” rather than strictly vehicle sales. This suggests that Tesla service centers will likely be launched in both countries.
The move mirrors Tesla’s recent Baltic rollout strategy. When Tesla entered Lithuania, it first established a local entity, followed by a pop-up store within weeks and a permanent service center a few months later. It would then not be surprising if Tesla follows a similar strategy in Estonia and Latvia, and service and retail operations arrive in the first half of 2026.
Tesla’s European push
Tesla saw a drop in sales in Europe in 2025, though the company is currently attempting to push more sales in the region by introducing its most affordable vehicles yet, the Model 3 Standard and the Model Y Standard. Both vehicles effectively lower the price of entry into the Tesla ecosystem, which may make them attractive to consumers.
Tesla is also hard at work in its efforts to get FSD approved for the region. In the fourth quarter of 2025, Tesla rolled out an FSD ride-along program in several European countries, allowing consumers to experience the capabilities of FSD firsthand. In early December, reports emerged indicating that the FSD ride-along program would be extended in several European territories until the end of March 2026.
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
Tesla seeks engineer to make its iOS Robotaxi app feel “magical”
Tesla is coming to Estonia and Latvia in latest European expansion: report
