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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.
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Tesla to make app change for easier communication following Service
“Looking into it. After a service visit is complete, we close the in-app messaging option after 2 hours. We will change this to 24hours or more.”

Tesla will enhance the ability to communicate through the mobile app with Service after work has been done on your car.
One of the biggest weaknesses of Tesla’s automotive division has been Service, as Service Centers are not necessarily plentiful, and wait times, in some regions of the country, are over a month in duration.
Getting in touch with Service after a car has work done to it is also difficult. Calling showrooms in some regions has proven to be difficult to enable direct communication between the customer and the company.
If something is not resolved properly, Tesla keeps the in-app messaging option active for two hours after the service visit is complete.
However, that doesn’t resolve everything, as some issues may arise again more than two hours later. Then the issue of communication presents itself once again.
Tesla is going to extend that time frame to a day or more, according to Raj Jegannathan, Tesla’s AI/IT-Infra, Cybersecurity, IT Apps & Vehicle Service VP.
Looking into it. After a service visit is complete, we close the in-app messaging option after 2 hours. We will change this to 24hours or more.
— Raj Jegannathan (@r_jegaa) August 18, 2025
Tesla has made several changes over the past few years to attempt to improve its Service. Recently, for Collision repair, it started offering a $45-per-day loaner program with free FSD, free tolls, and free Supercharging.
It also recently started sharing local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.
Tesla creates clever solution to simplify and improve its Service
However, this is only available at a few showrooms and is currently a pilot program.
These improvements are aimed at resolving communication breakdown, which appears to be a problem that many owners experience.
Tesla is one of the few companies that also operates a fleet of Mobile Repair vehicles, which will perform service at your house or place of business. However, the size of it has gone down by 11 percent year over year.
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Tesla is overhauling its Full Self-Driving subscription for easier access
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.

Tesla is overhauling its Full Self-Driving subscription and how it markets it to customers after several owners and fans of the company complained about the accessibility of the monthly access to its driver assistance suite.
Tesla Full Self-Driving is the automaker’s semi-autonomous driving suite, which is widely regarded as the most robust and capable on the market today. Owners can purchase the suite outright for $8,000, or they can subscribe to the program for $99 per month, an option it enabled a few years ago.
However, it is not super easy to subscribe to the subscription model, nor is it even recognized on the company’s Online Design Studio. Without some research or prior knowledge, a consumer might not even know they could pay monthly to experience Full Self-Driving.
That is set to change, according to Tesla’s AI/IT Infrastructure, Cybersecurity, IT Apps, and Vehicle Service head Raj Jegannathan, who said the company is planning to change that.
Instead of having customers only have the option to pay outright for the suite, Tesla is now planning to offer the subscription model in its Online Design Studio, making it easier to activate that option:
Yes, will optimize the design to offer both full purchase, subscriptions(with free trial) on the configurator.
— Raj Jegannathan (@r_jegaa) August 24, 2025
It will be the second major change Tesla makes to how it sells Full Self-Driving to customers, the first being videos of real-life operation of FSD in the Design Studio. Previously, the site only showed animations of Full Self-Driving’s capabilities.
Tesla added the videos of FSD handling some tricky situations, as well as general operation of the suite, to the Design Studio in recent weeks.
Tesla makes big change to encourage Full Self-Driving purchases
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.
Many cannot justify paying for the suite outright, especially as it adds $8,000 to the cost of their car. After they experience its capabilities for themselves, they might.
Both moves appear to be an effort to increase the take rate of Full Self-Driving, particularly as autonomy takes center stage at Tesla.
With the rollout of Robotaxi and some teased capabilities of the upcoming v14 iteration of Full Self-Driving, Tesla is gearing up to continue advancing its self-driving technology.
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Tesla talks Semi ramp, Optimus, Robotaxi rollout, FSD with Wall Street firm

Tesla (NASDAQ: TSLA) recently talked about a variety of topics with Wall Street firm Piper Sandler, as the firm released a new note on Friday about their meeting with the company’s Investor Relations team.
According to the note from Piper Sandler, Tesla talked in detail about the Semi program, Optimus, and its potential valuation given its capabilities, the rollout of Robotaxi in Austin, and Full Self-Driving progress in the United States.
Tesla Semi Ramp
The Tesla Semi is set to enter mass production in 2026 at a dedicated factory near the company’s Gigafactory in Reno, Nevada.
The Semi has already been in pilot program testing, as Tesla has partnered with a few companies, like Frito-Lay and PepsiCo., to perform regional logistics. It has been met with excellent reviews from drivers, and it has helped give Tesla a good idea of what to expect when it makes its way to more companies in the coming years.
Piper Sandler said that it is evident Tesla is preparing for a “major ramp,” but it is keeping its expectations low:
“We’ve never expected much from this product, but we’d love to be proven wrong (Tesla is clearly prepping for a major ramp).”
Tesla Optimus and its value internally and externally
Optimus has been working in Tesla factories for some time, but its expectations as a product offering outside of the company internally have major implications.
Its role within Tesla factories, for now, is relatively low, but Optimus is still doing things to assist. By this time next year, Piper Sandler said Optimus should have bigger responsibilities:
“By this time in 2026, Optimus should be moving/staging parts within Tesla’s facilities.”
Outside of Tesla, Optimus could be a major beneficiary for companies as it could be a more affordable way to handle tedious tasks and manual labor. The firm believes that if Optimus can work 18-hour shifts, a cost of $100,000 per unit “would be justified.”
Tesla Robotaxi Expansion
The big focus of the firm with Robotaxi was Tesla’s expansion of the geofence in Austin this week. It was substantial, bringing the Robotaxi’s total service area to around 170 square miles, up from the roughly 90 square miles that rival Waymo is offering in the city.
Tesla Robotaxi geofence expansion enters Plaid Mode and includes a surprise
Tesla has doubled its geofence three times since its launch in late June, and it also revealed that its fleet of vehicles has expanded by 50 percent. It did not give a solid number of how many vehicles are operating in the fleet.
Tesla Full Self-Driving v14 launch
Tesla’s Full Self-Driving suite is set to have a fresh version, v14, rolled out in either September or October, and there are some pretty high expectations for it.
CEO Elon Musk said:
“The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less.”
There is also some expectation that v14 could be the public release of what Tesla is running in Austin for Robotaxi. The firm confirmed this in their note by stating it “should enable Tesla owners to use software that is on par with Robotaxis in Austin.”
The only real hold up would be regulator skepticism, but Tesla can alleviate this with strong data.
The firm maintained its ‘Overweight’ rating and the $400 price target it holds on the stock.
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