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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 FSD V14 gets tentative release date
The update will feature a 10X higher parameter count, among other improvements.

Tesla is not releasing Unsupervised FSD to regular customers yet, but the company seems to be preparing something special for its FSD users nonetheless.
This was, at least, according to Elon Musk in a recent post on X.
Tesla FSD V14
Tesla’s FSD program has been deemed by Elon Musk as one of the key factors that would determine the company’s long term success. Over the past months, however, Tesla has mostly been focusing on the rollout and ramp of its Robotaxi program in Austin and the Bay Area. Tesla’s Robotaxi service uses Unsupervised FSD, which is not yet released to customers.
However, in a post on X, Musk stated that Tesla is preparing its next big update for its consumer-grade FSD system—V14. Musk did not provide a lot of details about FSD V14’s capabilities, but the CEO did state that the update will feature a 10X higher parameter count, among other improvements.
“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,” Musk wrote in his post.
Tesla Unsupervised FSD Rollout
During the second quarter earnings call, Tesla executives were asked for a timeline on the rollout of Unsupervised FSD to consumer vehicles. In his reply, Musk stated that he believes Unsupervised FSD will be available for consumers in certain geographies. He did explain that Tesla will be extra careful with the system’s release.
“We are getting there. I think it will be available for unsupervised personal use by the end of this year in certain geographies. We are just being very careful about it. This is not something we should rush,” Musk said, adding that “I am confident that by this year, within a number of cities in the US, it will be available to end users.
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Elon Musk reaffirms Tesla Semi mass production in 2026
The Tesla Semi factory near Giga Nevada is expected to be capable of producing 50,000 units of the Class 8 all-electric truck per year.

Elon Musk has reaffirmed the Tesla Semi’s mass production date. He mentioned the update in a post on social media platform X during the weekend.
Tesla Semi Factory
The Tesla Semi was initially unveiled in late 2017, and its first deliveries were held in December 2022. Since then, Tesla has only been delivering the Semi to a handful of customers while it builds a dedicated factory for the Class 8 all-electric truck near its Giga Nevada facility.
Drone flyovers of the Tesla Semi factory over the past months have suggested that progress in the construction of the facility has been steady. More recent flyovers have even suggested that Tesla is now busy outfitting the facility with the necessary equipment for the mass production of the Semi.
Elon Musk’s Recent Comments
In a recent comment on X, Elon Musk reiterated the idea that the Semi was indeed expected to be mass produced in 2026. Musk shared his update as a response to a Tesla bull who recalled that Bill Gates did not believe that the Semi was feasible due to the limitations of battery technology. In his response, Musk posted a laughing emoji together with “Tesla Semi will be in volume production next year.”
The Tesla Semi factory near Giga Nevada is expected to be capable of producing 50,000 units of the Class 8 all-electric truck per year. While this number may not be attained by the facility right out of the gate, it would only be a matter of time before the factory manages to hit an optimal production rate.
In a video posted on social media earlier this year, Dan Priestley, who leads the Semi program at Tesla stated that the company is preparing for volume production over the coming quarters. With such a pace, the factory should be able to mass produce the Semi in 2026.
Elon Musk
Elon Musk confirms Tesla AI6 chip is Project Dojo’s successor
Tesla’s AI5 and AI6 chips are expected to be rolled out to the company’s consumer products.

Earlier this week, reports emerged stating that Tesla has stepped back from its Project Dojo initiative. While the reports were initially framed as a negative development for the electric vehicle maker’s autonomous driving efforts, CEO Elon Musk later noted on X that Tesla was indeed halting its Dojo initiative.
Elon Musk’s Confirmation
As per Musk, Tesla was shuttering Project Dojo because it does not make sense for the company to divide its resources and scale two different AI chip designs. Dojo, after all, is designed to train the company’s autonomous driving program, and thus, it would not be rolled out to Tesla’s consumer products.
In a series of posts on X, Musk stated that it would make sense to just use Tesla’s AI5/AI6 to train its FSD and Autopilot systems. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk said.
Tesla’s AI5 and AI6 chips are expected to be rolled out to the company’s consumer products, from Optimus to the Cybercab to the next-generation Roadster.
AI6 is Dojo’s Successor
What was particularly interesting about Musk’s comment was his mention of using AI5/AI6 chips for training. As per Musk, this strategy could be seen as “Dojo 3” in a way, since the performance of Tesla’s AI5 and AI6 chips is already notable. Musk’s comment about using AI6 chips for training caught the eye of many, including Apple and Rivian alumnus Phil Beisel, who noted that “AI6 is now Dojo.”
“Dojo is Tesla’s AI training supercomputer, built around a custom chip known as the D1. The D1 and AI5/AI6 share many core design elements, particularly the math operations used in neural networks (e.g., matrix multiplication) and highly parallel processing.
“Dojo had a unique feature: chips arranged in a 5×5 grid using a system-on-wafer design, with etched interconnects enabling high-speed data transfer. In a sense, Dojo will live on as the generalized AI6. Going forward, all efforts will focus on AI6,” the tech veteran wrote in a post on X.
Elon Musk confirmed the Apple alumnus’ musings, with the CEO responding with a “bullseye” emoji. Musk is evidently excited for Tesla’s AI6 chip, which is expected to produced by Samsung’s upcoming Texas fabrication facility. In a post on X, Musk stated that he would personally be walking Samsung’s line to accelerate the output of Tesla’s AI6 computers.
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