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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.
Elon Musk
Elon Musk’s Boring Company studying potential Giga Nevada tunnel: report
The early-stage feasibility work was funded by a state-affiliated economic group as officials searched for alternatives to worsening traffic and accidents along Interstate 80.
Elon Musk’s tunneling startup, The Boring Company, has been studying a potential tunnel system connecting Reno to Tesla Gigafactory Nevada, as per documents obtained by Fortune. The early-stage feasibility work was funded by a state-affiliated economic group as officials searched for alternatives to worsening traffic and accidents along Interstate 80.
Potential Giga Nevada tunnel
Documents reviewed by Fortune showed that The Boring Company received $50,000 in October to produce conceptual designs and a feasibility report for a tunnel beneath a nine-mile stretch of highway leading to Gigafactory Nevada. The payment came from the Economic Development Authority of Western Nevada (EDAWN), a nonprofit that works with the state to attract and expand businesses.
The proposed tunnel was one of several transportation alternatives being explored to address rising congestion and accidents along Interstate 80, which serves the Tahoe-Reno Industrial Center. The massive industrial park houses major employers, including Tesla and Panasonic, both of which had been in contact with the Nevada Governor’s Office regarding potential transportation solutions.
Emails obtained through public records requests showed that Tesla and Panasonic have also supported a separate commuter rail study that would use existing freight rail alongside the Interstate. It remains unclear if The Boring Company’s feasibility report had been completed, and key details for the potential project, including tunnel length, cost, and if autonomous Teslas would be used, were not disclosed.
Relieving I-80 congestion
Traffic and accidents along I-80 have increased sharply as data centers and new businesses moved into the 107,000-acre industrial center. State transportation data showed that the number of vehicles traveling certain stretches of the highway during peak hours doubled between January and July 2025 alone. Roughly 22,000 employees commute daily to the industrial park, with nearly 8,000 working for Tesla and more than 4,000 for Panasonic at the Giga Nevada complex.
Bill Thomas, who runs the Regional Transportation Commission of Washoe County, shared his thoughts about safety concerns in the area. “At this point in time, there’s about (one accident) every other day,” he said. He also noted that he is supportive of any projects that could alleviate traffic and accidents on the Interstate.
“We’re not paying for it. I’m not involved in it. But I understand there are conversations exploring whether that could be done. If there’s a private solution that helps the problem and improves safety, as far as I’m concerned, more power to them,” Thomas stated.
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Tesla might have built redundancies for Cybercab charging
When Tesla unveiled the Cybercab in 2024, the company noted that the autonomous two-seater would utilize wireless charging.
A newly spotted panel on Tesla’s Cybercab prototype may point to a practical backup for the vehicle’s wireless charging system as it nears mass production.
Tesla watchers have speculated that the panel could house a physical NACS port, which would ensure that the autonomous two-seater could operate reliably even before the company’s wireless charging infrastructure is deployed.
Cybercab possible physical charge port
The discussion was sparked by a post on X by Tesla watcher Owen Sparks, who highlighted a rather interesting panel on the Cybercab’s rear. The panel, which seemed to be present in the prototype units that have been spotted across the United States recently, seemed large enough to house a physical charge port.
When Tesla unveiled the Cybercab in 2024, the company noted that the autonomous two-seater would utilize wireless charging. Since then, however, Tesla has remained largely quiet about the system’s rollout timeline. With the Cybercab expected to enter production in a few months, equipping the vehicle with a physical NACS port would allow it to charge at Superchargers nationwide without relying exclusively on still-undeployed wireless chargers.
Such an approach would not rule out wireless charging long-term. Instead, it would give Tesla flexibility, allowing the Cybercab to operate immediately at scale while wireless charging solutions are rolled out later. For a vehicle designed to operate continuously and autonomously, redundancy in charging options would be a practical move.
Growing Cybercab sightings
Recent sightings of the Cybercab prototype in Chicago point to the same design philosophy. Images shared on social media showed the vehicle coated in road grime, while its rear camera area appeared noticeably cleaner, with visible traces of water on the trunk.
The observation suggests that the Cybercab is equipped with a rear camera washer. As noted by Model Y owner and industry watcher Sawyer Merritt, this is a feature Tesla owners have requested for years, particularly in snowy or wet climates where dirt and slush can obscure cameras and degrade the performance of systems like FSD.
While only the rear camera washer was clearly visible, the sighting raises the possibility that Tesla may equip additional exterior cameras with similar cleaning systems. For a vehicle that operates without a human driver, after all, maintaining camera visibility in all conditions is essential. Ultimately, the charge-port speculation and camera-washer sightings suggest Tesla is approaching the Cybercab with practicality in mind.
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Tesla Model Y dominated China’s NEV sales in December 2025
As per sales data from China, the all-electric crossover finished first among the country’s best-selling EVs and plug-in hybrids.
The Tesla Model Y ranked as China’s top-selling new energy vehicle in December, leading an intensely competitive market packed with strong domestic brands.
As per sales data from China, the all-electric crossover finished first among the country’s best-selling EVs and plug-in hybrids. The Model 3 also placed within the country’s top ten vehicles.
Model Y leads China’s NEV rankings
The graphic, shared on X and sourced from Chinese auto industry data aggregator Yiche, listed the top 20 best-selling new energy vehicles in China for December. Tesla’s Model Y claimed the No. 1 position with roughly 65,874 units sold, finishing well ahead of a field dominated by domestic manufacturers such as BYD, SAIC-GM-Wuling, and Xiaomi.
The chart also showed strong performances from other high-volume models, including BYD’s Qin Plus, which sold 46,837 units during the month. Tesla’s Model 3 ranked eighth overall, with just under 28,000 units sold, placing it ahead of numerous locally produced competitors despite its rather premium price.
Tesla China’s strong December
Tesla China had a stellar December 2025. During the month, Tesla sold 97,171 vehicles wholesale in China, as per data from the China Passenger Car Association (CPCA). The result marked Tesla China’s second-highest monthly total on record, trailing only November 2022’s peak of 100,291 units.
December’s wholesale figure represented a 3.63% increase from the same month a year earlier and a 12.08% jump from November. Industry watchers have suggested that part of the surge was driven by Tesla pulling deliveries forward to allow customers to benefit from more favorable purchase tax policies before year-end.
Despite this, December’s results suggest that Tesla’s Model Y and Model 3 remain highly competitive offerings in China, which is extremely impressive considering the competition from domestic players and their still premium price.
Elon Musk’s Boring Company studying potential Giga Nevada tunnel: report
Tesla might have built redundancies for Cybercab charging
