News
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.
News
Blue Origin announces Super-Heavy New Glenn 9×4 to Rival SpaceX Starship
The announcement followed the company’s successful NG-2 launch on November 13.
Blue Origin has revealed plans to develop New Glenn 9×4, a “super heavy” rocket designed to deliver 70 metric tons to low-Earth orbit and directly compete with SpaceX’s Starship.
The announcement followed the company’s successful NG-2 launch on November 13, which deployed NASA’s ESCAPADE (Escape and Plasma Acceleration Dynamics Explorers) Mars mission and landed the first stage.
Upgraded engines and reusability
As noted in a Universe Today report, Blue Origin will roll out upgraded BE-4 engines producing 640,000 lbf each, up from 550,000 lbf, starting with NG-3. This should boost the New Glenn rocket’s total first-stage thrust to 4.5 million pounds. Upper-stage BE-3U engines are expected to improve from 320,000 lbf to 400,000 lbf over the next few flights as well.
“These enhancements will immediately benefit customers already manifested on New Glenn to fly to destinations including low-Earth orbit, the Moon, and beyond. Additional vehicle upgrades include a reusable fairing to support increased flight rates, an updated lower-cost tank design, and a higher-performing and reusable thermal protection system to improve turnaround time,” Blue Origin noted.
New Glenn “Super Heavy” 9×4
The super-heavy New Glenn 9×4, with nine BE-4s on the booster, four BE-3Us on the upper stage, will feature an 8.7-meter payload fairing. Blue Origin expects New Glenn 9×4 to be capable of transporting 70 metric tons to LEO, 14 tons to GSO, and 20 tons to trans-lunar injection, as noted by the company in a blog post. This is very impressive, as New Glenn 9×4’s capacity exceeds Falcon Heavy, SpaceX’s largest rocket available to consumers today. Falcon Heavy is capable of carrying up to 64 metric tons to low Earth orbit in a fully expendable configuration.
That being said, SpaceX’s Starship’s capacity is extremely impressive. As per SpaceX, Starship is designed to be capable of carrying up to 100-150 metric tonnes to orbit in its fully reusable configuration. At its expendable configuration, Starship’s capacity enters unheard-of territory, with SpaceX stating that the vehicle could transport 250 metric tonnes of cargo.
News
Tesla FSD approved for testing in Nacka, Sweden, though municipality note reveals aggravating detail
Nacka, Sweden, a municipality just a few miles from Stockholm, has given its approval for FSD tests.
Tesla has secured approval for FSD testing in an urban environment in Sweden. As per recent reports from the Tesla community, Nacka, Sweden, a municipality just a few miles from Stockholm, has given its approval for FSD tests.
A look at the municipality’s note regarding FSD’s approval, however, reveals something quite aggravating.
FSD testing approval secured
As per Tesla watcher and longtime shareholder Alexander Kristensen, Nacka is governed by the Moderate Party. The shareholder also shared the municipality’s protocol notes regarding approval for FSD’s tests.
“It is good that Nacka can be a place for test-driving self-driving cars. This is future technology that can both facilitate mobility and make transportation cheaper and more environmentally friendly,” the note read.
The update was received positively by the Tesla community on social media, as it suggests that the electric vehicle maker is making some legitimate headway in releasing FSD into the region. Sweden has been particularly challenging as well, so securing approval in Nacka is a notable milestone for the company’s efforts.
Aggravating details
A look at the notes from Nacka shows that FSD’s proposed tests still met some opposition from some officials. But while some critics might typically point to safety issues as their reasons for rejecting FSD, those who opposed the system in Nacka openly cited Tesla’s conflict with trade union IF Metall in their arguments. Fortunately, Nacka officials ultimately decided in Tesla’s favor as the company’s issues with the country’s unions are a completely different matter.
“The left-wing opposition (S, Nackalistan, MP and V) voted no to this, referring to the fact that the applicant company Tesla is involved in a labor market conflict and does not want to sign a collective agreement. We believe that this is not an acceptable reason for the municipality to use its authority to interfere in a labor law conflict.
“Signing a collective agreement is not an obligation, and the company has not committed any crime. The municipality should contribute to technological development and progress, not work against the future,” the note read.
News
Tesla Model 3 and Model Y named top car buys in Norway
Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability.
Norway’s annual roundup of the best car purchases featured Tesla’s two main sellers this year, with the Model 3 and Model Y securing top positions in their respective segments.
Despite growing competition from European and Korean brands, both models stood out for their balance of price, performance, and everyday usability. The verdict comes as electric vehicle adoption remained above 95% of new vehicle sales in the country.
Tesla Model 3 strengthens its value position
Among compact EVs, the Tesla Model 3 maintained its position as the best overall buy thanks to its strong blend of performance, efficiency, and updated features. Reviewers noted that every trim offered compelling value, especially with the all-electric sedan’s improved cabin ergonomics and the return of the turn-signal stalk, which was one of the few previous complaints among drivers.
The Model 3’s mix of long-range capability, low operating costs, and responsive handling has continued to set the benchmark for compact EVs in Norway. While competitors from Hyundai, Volkswagen, and Peugeot have narrowed the gap, Tesla’s price-to-capability ratio has remained difficult to beat in this segment, Motor.no reported.
“The Model 3 clearly offers the best value for money in the compact class, no matter which version you choose. Now it also gets the turn signal lever back. This eliminates one of the few flaws in a driving environment that many believe is the best on the market,” the publication wrote.
Tesla Model Y claims its crown
The Tesla Model Y emerged as Norway’s top family-car purchase this year. The latest refresh introduced improvements in ride quality, styling, and interior materials, allowing the Model Y to deliver a more premium driving experience without a substantial price increase.
Reviewers praised its spacious cabin, strong safety profile, and practical range, all of which reinforced its appeal for families needing an all-purpose electric crossover. The Model Y remains especially notable given its continued popularity in Norway even as Tesla faces declining sales in other global markets.
“The Model Y is back as the winner in the family class. The upgrade in the new year was even more extensive than expected. It is a slightly more elegant and significantly more comfortable Model Y that solidifies its position as Norway’s best car purchase in the most important class,” the Norwegian motoring publication noted.
