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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 gathers Cybercab fleet in Gigafactory Texas
Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.
Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.
The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.
Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.
The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.
Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.
The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.
The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.
Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.
Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.
Elon Musk
Elon Musk’s xAI, creator of Grok and Grokipedia, celebrates its third birthday
xAI Memphis highlighted several of its milestones over the years in its celebratory post.
Elon Musk’s artificial intelligence startup xAI has marked its third anniversary. The update was shared in a post from the xAI Memphis account on social media platform X.
xAI Memphis highlighted several of its milestones over the years in its celebratory post.
As per xAI, it has built three massive data centers in the city, launched a coherent cluster of 330,000 GBs, created over 3,000 jobs, and paid over $30 million in taxes to local communities.
xAI’s Memphis operation has become a key part of the company’s infrastructure as the company works to train and deploy its Grok artificial intelligence models. Elon Musk has been quite optimistic about Grok’s potential, noting in the past that the large language model might have a shot at achieving artificial general intelligence (AGI).
xAI’s Memphis’ crown jewel is its Colossus supercomputer cluster. The project was announced in 2024 and has since become the home of one of the world’s largest AI compute facilities. The first phase of Colossus reached its initial 100,000 GPU operational milestone in just 122 days, or just about four months.
Industry figures such as Nvidia CEO Jensen Huang have praised the facility, noting that projects of similar scale typically take two to four years to complete.
xAI has cited Memphis’ central location, skilled workforce, and industrial infrastructure as key reasons for selecting the city as the home of its AI training operations. The company has also emphasized plans to expand the site further as it scales compute capacity for Grok and future AI models.
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Tesla Sweden’s Megapack Supercharger near Arlanda continues to aggravate IF Metall union
The charging site, located in Arlandastad outside Stockholm, appears to be operating despite ongoing union blockade measures tied to Tesla’s labor dispute in the country.
Tesla Sweden’s Megapack-powered Supercharger station near Arlanda Airport has continued to aggravate Swedish labor union IF Metall. The charging site, located in Arlandastad outside Stockholm, appears to be operating despite ongoing union blockade measures tied to Tesla’s labor dispute in the country.
Comments about the site were shared by IF Metall representatives in remarks to Swedish publication CarUp.
The Arlandastad location includes eight Tesla Superchargers powered by a Megapack battery system. Unlike traditional charging stations that rely on direct grid connections, the site uses a large battery installation to store electricity and power the chargers.
According to the Swedish publication, the setup allowed the station to come online despite sympathy measures from Sweden’s electricians’ union, which has attempted to prevent companies from cooperating with Tesla as part of the broader labor conflict.
IF Metall press manager Jesper Pettersson indicated that the union was not aware that the Superchargers had already been connected and activated.
“We do not know the details around this. But it is further proof of how Tesla systematically finds loopholes to circumvent the sympathy measures through active strikebreaking. Every time this happens it gives us reason to sharpen our conflict measures,” Pettersson said.
Union representatives also noted that the Megapack appears to be charged using electrical cables routed through nearby terrain, though the exact power source remains under review.
The Megapack-powered site has then prompted questions from Swedish labor unions about how electricity is being supplied to the system.
IF Metall has submitted a report to Sweden’s Energy Market Inspectorate asking the regulator to review whether the electricity supply arrangement complies with national regulations. The Megapack is reportedly charged using electricity from a local company, though the provider has not been publicly identified.
Peter Lydell, an ombudsman at IF Metall, previously stated that Swedish law limits electricity trading to companies with proper authorization.
“The legislation states that only companies that engage in electricity trading may supply electricity to other parties. You may not supply electricity without a permit, then you are engaging in illegal electricity trading. That is why we have reported this…
“This is about a company that helps Tesla circumvent the conflict measures that exist. It is clear that it is troublesome and it can also have consequences,” Lydell said.
IF Metall and Tesla Sweden’s conflict has been going on for over two years now.