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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 Giga Berlin makes big move amid strong sales and demand
“We currently have very good sales figures and have therefore revised our production plans for the third and fourth quarters upwards.”

Tesla is making a big move at its factory in Germany, known as Giga Berlin, as managers at the plant have indicated the company plans to increase its production rate for the remainder of the year.
Giga Berlin is responsible for manufacturing Model Y vehicles for several markets worldwide, including those outside of Europe. It was opened in March 2022, and it recently built its 500,000th Model Y in March and its 100,000th new Model Y just three weeks ago.
Due to some encouraging sales figures in the markets it provides vehicles for, Tesla said it is planning to increase production at the factory for the remainder of the year.
Andrè Thierig, plant manager at Giga Berlin, said to German news outlet DPA on Sunday that market data has encouraged a move to be made regarding the production at the factory:
“We currently have very good sales figures and have therefore revised our production plans for the third and fourth quarters upwards.”
It is interesting to see this kind of narrative from Thierig, especially as data has shown Tesla has struggled in various markets, including Germany, this year.
Sales drops have been reported, but other markets are holding strong, especially those in Northern Europe, such as Norway, where the Model Y saw a nearly 39 percent increase in sales in August compared to the same month the previous year.
Gigafactory Berlin supplies vehicles for other markets, such as Canada, Australia, and New Zealand, which are strategically important to avoid tariffs. It also builds cars for the Middle East.
Thierig reiterated this point during the interview with DPA:
“We supply well over 30 markets and definitely see a positive trend there.”
Elon Musk
Tesla analyst says Musk stock buy should send this signal to investors
“With Musk’s (Tesla stock) purchase, combined with the upward momentum for delivery expectations and robotaxi rollout, we are becoming more bullish.”

Tesla CEO Elon Musk purchased roughly $1 billion in Tesla shares on Friday, and analysts are now breaking down the move as the stock is headed upward.
One of them is William Blair analyst Jed Dorsheimer, who said in a new note to investors on Monday that Musk’s move should send a signal of confidence to stock buyers, especially considering the company’s numerous catalysts that currently exist.
Elon Musk just bought $1 billion in Tesla stock, his biggest purchase ever
Dorsheimer said in the note:
“With Musk’s (Tesla stock) purchase, combined with the upward momentum for delivery expectations and robotaxi rollout, we are becoming more bullish. This purchase is Musk’s first buy since 2020. To us, this sends a strong signal of confidence in the most important part of Tesla’s future business, robotaxi.”
Musk putting an additional $1 billion back into the company in the form of more stock ownership is obviously a huge vote of confidence.
He knows more than anyone about the progress Tesla has made and is making on the Robotaxi platform, as well as the company’s ongoing efforts to solve vehicle autonomy. If he’s buying stock, it is more than likely a good sign.
Tesla has continued to expand its Robotaxi platform in a number of ways. The project has gotten bigger in terms of service area, vehicle fleet, and testing population. Tesla has also recently received a permit to test in Nevada, unlocking the potential to expand into a brand-new state for the company.
In the note, Dorsheimer also touched on Musk’s recent pay package, revealing that William Blair recently met with Tesla’s Board of Directors, who gave the firm some more color on the situation:
“We recently participated in a meeting with Tesla’s board of directors to discuss the details of Musk’s performance package. The board is confident of its position in the Delaware case and anticipates a verdict by end of year. It does not expect a similar situation to occur under new Texas jurisdiction. Musk has the board’s full support, and we expect he’ll get more than enough shareholder support for this to pass with flying colors.”
Tesla stock is up over 6 percent so far today, trading at $421.50 at the time of publication.
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Morgan Stanley’s Adam Jonas dubs Tesla FSD a “game changer” after marathon drive
Jonas reported that FSD handled more than 99% of the miles.

Morgan Stanley’s analyst Adam Jonas shared a notable endorsement of Tesla’s Full Self-Driving (FSD) software after completing a 1,400-mile round trip from New York to Michigan in his Model Y.
Jonas reported that FSD handled more than 99% of the miles, calling the system “a game changer” for long-distance driving.
Hands-free experience
Jonas drove his 2021 Tesla Model Y equipped with Hardware 3 and FSD Supervised v12.6.4, and he used the system nearly the entire trip. “Having your hands off the wheel and feet off the pedals for nearly 12 hours of driving is a real game changer that is hard to appreciate without experiencing it for yourself,” he noted.
He explained that outside of two heavy downpours, one on the Pennsylvania Turnpike and another in suburban Detroit, plus some light maneuvering in fast food parking lots, FSD handled the drive without any human intervention. “FSD made no mistakes or close calls that I recall. The system handles highways very safely and confidently. I cannot imagine buying another EV without FSD.”
Broader implications
Jonas added that he has used FSD consistently over the past 18 months, and the $8,000 he paid for the feature feels like a bargain considering the value. He also praised Tesla’s Supercharging network, which supported his trip without issue.
Jonas has been one of Wall Street’s most closely followed voices on Tesla, and his comments add weight to the ongoing debate about the role of autonomy in the company’s future. His current price target for Tesla stock stands at $410. During Morgan Stanley’s 13th Annual Laguna Conference, he echoed similar experiences with Tesla’s software, emphasizing that FSD “probably drove well over 99% of the miles” on his recent trips.
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