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.
Investor's Corner
Tesla gets bold Robotaxi prediction from Wall Street firm
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Tesla (NASDAQ: TSLA) received a bold Robotaxi prediction from Morgan Stanley, which anticipates a dramatic increase in the size of the company’s autonomous ride-hailing suite in the coming years.
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Percoco dug into the Robotaxi fleet and its expansion in the coming years in his latest note, released on Tuesday. The firm expects Tesla to increase the Robotaxi fleet size to 1,000 vehicles in 2026. However, that’s small-scale compared to what they expect from Tesla in a decade.
Tesla expands Robotaxi app access once again, this time on a global scale
By 2035, Morgan Stanley believes there will be one million Robotaxis on the road across multiple cities, a major jump and a considerable fleet size. We assume this means the fleet of vehicles Tesla will operate internally, and not including passenger-owned vehicles that could be added through software updates.
He also listed three specific catalysts that investors should pay attention to, as these will represent the company being on track to achieve its Robotaxi dreams:
- Opening Robotaxi to the public without a Safety Monitor. Timing is unclear, but it appears that Tesla is getting closer by the day.
- Improvement in safety metrics without the Safety Monitor. Tesla’s ability to improve its safety metrics as it scales miles driven without the Safety Monitor is imperative as it looks to scale in new states and cities in 2026.
- Cybercab start of production, targeted for April 2026. Tesla’s Cybercab is a purpose-built vehicle (no steering wheel or pedals, only two seats) that is expected to be produced through its state-of-the-art unboxed manufacturing process, offering further cost reductions and thus accelerating adoption over time.
Robotaxi stands to be one of Tesla’s most significant revenue contributors, especially as the company plans to continue expanding its ride-hailing service across the world in the coming years.
Its current deployment strategy is controlled and conservative to avoid any drastic and potentially program-ruining incidents.
So far, the program, which is active in Austin and the California Bay Area, has been widely successful.
News
Tesla Model Y L is gaining momentum in China’s premium segment
This suggests that the addition of the Model Y L to Tesla China’s lineup will not result in a case of cannibalization, but a possible case of “premiumization” instead.
Tesla’s domestic sales in China held steady in November with around 73,000 units delivered, but a closer look at the Model Y L’s numbers hints at an emerging shift towards pricier variants that could very well be boosting average selling prices and margins.
This suggests that the addition of the Model Y L to Tesla China’s lineup will not result in a case of cannibalization, but a possible case of “premiumization” instead.
Tesla China’s November domestic numbers
Data from the a Passenger Car Association (CPCA) indicated that Tesla China saw domestic deliveries of about 73,000 vehicles in November 2025. This number included 34,000 standard Model Y units, 26,000 Model 3 units, and 13,000 Model Y L units, as per industry watchers.
This means that the Model Y L accounted for roughly 27% of Tesla China’s total Model Y sales, despite the variant carrying a ~28% premium over the base RWD Model Y that is estimated to have dominated last year’s mix.
As per industry watcher @TSLAFanMtl, this suggests that Tesla China’s sales have moved towards more premium variants this year. Thus, direct year-over-year sales comparisons might miss the bigger picture. This is true even for the regular Model Y, as another premium trim, the Long Range RWD variant, was also added to the lineup this 2025.
November 2025 momentum
While Tesla China’s overall sales this year have seen challenges, the Model Y and Model 3 have remained strong sellers in the country. This is especially impressive as the Model Y and Model 3 are premium-priced vehicles, and they compete in the world’s most competitive electric vehicle market. Tesla China is also yet to roll out the latest capabilities of FSD in China, which means that its vehicles in the country could not tap into their latest capabilities yet.
Aggregated results from November suggest that the Tesla Model Y took the crown as China’s #1 best-selling SUV during the month, with roughly 34,000 deliveries. With the Model Y L, this number is even higher. The Tesla Model 3 also had a stellar month, seeing 25,700 deliveries during November 2025.
Cybertruck
Tesla Cybertruck earns IIHS Top Safety Pick+ award
To commemorate the accolade, the official Cybertruck account celebrated the milestone on X.
The Tesla Cybertruck has achieved the Insurance Institute for Highway Safety’s (IIHS) highest honor, earning a Top Safety Pick+ rating for 2025 models built after April 2025.
The full-size electric pickup truck’s safety rating is partly due to the vehicle’s strong performance in updated crash tests, superior front crash prevention, and effective headlights, among other factors. To commemorate the accolade, the official Cybertruck account celebrated the milestone on X.
Cybertruck’s IIHS rating
As per the IIHS, beginning with 2025 Cybertruck models built after April 2025, changes were made to the front underbody structure and footwell to improve occupant safety in driver-side and passenger-side small overlap front crashes. The moderate overlap front test earned a good rating, and the updated side impact test also received stellar marks.
The Cybertruck’s front crash prevention earned a good rating in pedestrian scenarios, with the standard Collision Avoidance Assist avoiding collisions in day and night tests across child, adult crossing, and parallel paths. Headlights with high-beam assist compensated for limitations, contributing to the top award.
Safest and most autonomous pickup
The Cybertruck is one of only two full-size pickups to receive the IIHS’ Top Safety Pick + rating. It is also the only one equipped with advanced self-driving features via Tesla’s Full Self-Driving (Supervised) system. Thanks to FSD, the Cybertruck can navigate inner city streets and highways on its own with minimal supervision, adding a layer of safety beyond passive crash protection.
Community reactions poured in, with users praising the vehicle’s safety rating amidst skepticism from critics. Tesla itself highlighted this by starting its X post with a short clip of a Cybertruck critic who predicted that the vehicle will likely not pass safety tests. The only question now is, of course, if the vehicle’s Top Safety Pick+ rating from the IIHS will help the Cybertruck improve its sales.
Tesla gets bold Robotaxi prediction from Wall Street firm
Tesla Model Y L is gaining momentum in China’s premium segment
