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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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EVgo taps Tesla Superchargers for mass charging expansion
EVgo has tapped Tesla Superchargers for its most recent efforts to expand its charging presence in the United States, a move that seems logical based on the effectiveness of the automaker’s own infrastructure.
EVgo opened its first Supercharger site in Illinois, a 12-stall station near downtown Chicago at 3145 South Ashland Avenue in the Riverside Square & River’s Edge center, right beside a grocery store. This marks the start of the company’s plan to deploy hundreds of Supercharger stalls across the United States, primarily at grocery-anchored Regency Centers properties where drivers can shop, eat, or run errands while they charge.
We’ve opened our first EVgo Supercharger location in Illinois, marking the start of our plan to add hundreds of Supercharger stalls across the U.S.
Designed for both NACS and CCS vehicles with Magic Dock technology, these new sites help make fast charging more accessible and convenient for all EV drivers. Learn more: https://t.co/V92t5FDryQ
— EVgo Fast Charging Network (@evgonetwork) November 5, 2026
The new location uses Tesla’s Magic Dock technology so both NACS and CCS vehicles can plug in natively without drivers needing to carry their own adapters. Peak power reaches 325 kW at this site, with pricing set between $0.25 and $0.35 per kWh depending on the hour—the same rate for Tesla and non-Tesla drivers.
The stalls also appear in Tesla’s in-car navigation and Trip Planner, making them easy for Tesla owners to find and route to. Illinois has seen EV registrations rise nearly 60 percent over the past two years, and EVgo’s broader network has experienced more than 700 percent growth in charging demand over three years, so the timing fits the market’s trajectory.
Choosing Tesla hardware through the Supercharger for Business program turns out to have been a smart, practical move.
Tesla’s V4 stalls and cabinets deliver high, reliable power with a proven track record of strong uptime, while Magic Dock delivers true dual-standard compatibility in one package. Because the sites show up in Tesla’s navigation tools, EVgo instantly gains visibility among millions of existing Tesla drivers, which should raise utilization and help the company double its addressable market as more vehicles adopt NACS. EVgo still owns the stations and sets pricing, yet benefits from Tesla’s established hardware, longer cables, and operational support.
The result is faster, lower-risk infrastructure expansion that serves every EV driver—Tesla or otherwise—with convenient, high-power charging at everyday retail locations. For drivers, that means fewer adapters, more predictable stops, and a denser network just as electric vehicles become everyday transportation.
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Tesla Giga Texas reportedly moves to 24/7 production
Tesla’s Austin Gigafactory is reportedly shifting to round-the-clock vehicle production through the end of 2026, according to longtime drone observer Joe Tegtmeyer.
In his November 2 update, Tegtmeyer, widely regarded as one of the most reliable independent sources on Giga Texas activity (we call him the Drone GOAT), stated that the plant has added a night shift, creating two 12-hour production shifts.
Tegtmeyer said in his video:
“Now, I do have some interesting news about that when it comes to the production schedule here at Giga Texas, and things are actually looking pretty good, especially when you think about what the demand is and the delivery numbers that they’re looking for and what they’re expecting. So, normally they have shifts Monday through Friday. It’s a day shift and it’s about 10 hours long or so, give or take. But now they’re on day and night shifts and they’re going to 12-hour days. So they’re going to be adding or they have another shift. They have 12 hours for both of them. In addition to that, the typical downtime that we’re going to be seeing around the holidays, specifically Thanksgiving and Christmas to the New Year time frame is actually changed. And we’re not going to see those big several day events where there is no production. At least that’s what the plan is right now. So, it’s really a great sign, I think, when we consider what they’ve done in the past and what production and the deliveries have been so far. So, maybe it’s shaping up to be a really strong quarter.”
Previously, General Assembly typically operated on a single roughly 10-hour day shift, Monday through Thursday or Friday. The new arrangement keeps General Assembly on its Monday-to-Thursday schedule while adding overnight capacity, and most other areas of the factory continue working the full week with some weekend activity.
Notably, the plant is also forgoing the multi-day shutdowns around Thanksgiving and the Christmas–New Year period that have occurred in prior years
Giga Texas currently builds the Model Y, the larger Model Y L, the Cybertruck, and the Cybercab robotaxi. Tesla has not confirmed the shift change or specified which lines will receive the extra output. Recent comments suggest Cybercab production has been constrained by the pace at which the Robotaxi fleet can absorb new vehicles, making the Model Y and Model Y L the more likely beneficiaries as the company works through order backlogs.
Tegtmeyer’s November 2 footage and commentary also highlighted broader site progress. Cortex 2 continues to expand, with additional compute coming online, a roughly 25 percent lengthening of the structure on the north end, and work on a third cooling plant.
The Boring Company tunnel site showed increased activity in the large launch pit, while the Advanced Technology Chip Fab (a SpaceX–Tesla joint R&D facility) continued steel superstructure and heavy truss installation, along with concrete pours.
The reported capacity increase arrives as Tesla aims for a strong fourth quarter following solid third-quarter results. While unconfirmed by the company, the information aligns with Tegtmeyer’s consistent track record of accurate on-site observations.
If Tesla makes the decision to sustain the all-day production plans, the dual 12-hour shifts would meaningfully raise weekly output potential at one of Tesla’s most important manufacturing hubs.
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Tesla opens new “Cybaer” Engineering Center in Berlin
Tesla opened its Berlin Engineering Center, uniting four sites and 30 labs near Giga Berlin.
Tesla has opened a new engineering hub in Berlin, putting the teams that design and test its European parts about 30 minutes from the factory that builds them.
The Berlin Tesla Engineering Center, or BTEC, opened Wednesday in the Köpenick district. Tesla Europe said on X that the project went from permit to operational in under a year and consolidates four engineering sites and 30 labs onto a single campus. It is the company’s third hub of this kind, after Fremont and Shanghai.
“We’re combining materials, powertrain, vehicle engineering & validation under one roof, enabling a short feedback loop between development & ramp,” Tesla Europe wrote.
Berlin Tesla Engineering Center opens today From permit to operational in under a year, it brings 4 engineering sites onto 1 campus w/ 30 different labs in Köpenick, 30 minutes from Giga Berlin With our 3rd hub of this kind after Fremont & Shanghai, we’re combining materials, powertrain, vehicle engineering & validation under one roof – enabling a short feedback loop between development & ramp — Tesla Europe, Middle East & Africa (@teslaeurope) November 4, 2026
Tesla converted the former production halls of a cable factory for the site. About 250 engineers and technicians are starting there, most of them relocated from existing Tesla facilities such as Tilburg in the Netherlands. Tesla has already applied for approval of a second phase that would take the headcount to roughly 500, and it put the total investment at €100 million.
The labs cover battery cells, motors, materials and complete vehicles, and a large hall is set aside for safety testing of components, including airbags. During the opening, staff demonstrated a pedestrian leg impact test on the front of a Tesla using a catapult rig, Tagesspiegel reported. The center’s logo is a cubist Berlin bear that employees call the “Cybaer.”
Tesla said its Berlin design and engineering teams already contributed to the Model Y, Semi and Roadster, and that the work continues at BTEC. The center will handle technical problem solving for Giga Berlin in Grünheide while also developing and validating parts for vehicles built in China and the United States.
“We came here to stay,” BTEC head Brückner told dpa. “We serve all of Europe via Gigafactory Berlin-Brandenburg.” He said a site close to the plant was a priority, and that the old industrial building allowed Tesla to move quickly.
That proximity matters more now that Giga Berlin is growing again. In June, Tesla said it would raise Model Y output at the plant to 7,500 vehicles per week and hire 1,000 more workers after a record first quarter of more than 61,000 units. The factory recently built 7,000 Model Ys in a single week for the first time. Tesla also more than doubled the planned 4680 cell capacity at the site to 18 GWh per year in May, and has talked about eventually taking Grünheide to one million vehicles annually.
Sales are giving Tesla reason to invest. KBA data released the same day showed Tesla’s German registrations nearly quadrupled year over year in October to 2,932 units, bringing the total for the first ten months of 2026 to 47,742.