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Musk’s OpenAI will train artificial intelligence through video game ‘Universe’

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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.

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.

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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 launches ‘Mad Max’ Full Self-Driving Speed Profile, its fastest yet

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Credit: Teslarati

Tesla launched its fastest Full Self-Driving Speed Profile with the v14.1.2 Software Update on Wednesday, as “Mad Max” mode has overtaken “Hurry” as the most spirited travel option on FSD.

On Wednesday evening, Tesla’s Head of AI, Ashok Elluswamy, teased that the v14.1.2 Software Update would be released to those drivers in the Early Access Program (EAP). He said it was a “much-awaited feature.”

Tesla just teased something crazy with the next Full Self-Driving update

Many people, myself included, believed it would be the introduction of “Banish,” which would be a perfect complement to the Actually Smart Summon (ASS) suite, as it would find a parking spot and park itself after dropping you off at the front door of your destination.

However, Elluswamy’s post on X finished with two emojis: one a race car, the other being smoke behind the car.

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On Wednesday night, we received the v14.1.2 software update to the new Model Y, which revealed that “Mad Max” mode was the new addition:

The release notes state that:

“Introduced new speed profile MAD MAX, which comes with higher speeds and more frequent lane changes than Hurry.”

It is pretty interesting that Tesla would introduce yet another speed profile that is even faster and more aggressive than “Hurry.” Personally, I’ve found Hurry to be realistic in terms of other drivers and their aggressiveness, speed of travel, and overall lane change behavior, especially on interstates.

Mad Max mode will be an interesting adjustment.

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Tesla CEO Elon Musk first talked about Mad Max mode back in 2018 in posts on X, first mentioning the feature with the Tesla Semi:

Musk then teased Mad Max mode in 2019 with an early Autopilot update, stating that it would be an ideal option for aggressive traffic seen in places like Los Angeles. There was formerly a mode of the same name back in the late 2010s:

Now that it’s here, we’ll be testing it very soon and giving you a good idea of what to expect when it releases to others in the coming weeks.

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Tesla just teased something crazy with the next Full Self-Driving update

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Credit: Tesla Europe & Middle East | X

Update 9:56 p.m. ET: We got it…

Tesla launches ‘Mad Max’ Full Self-Driving Speed Profile, its fastest yet

Tesla just teased something crazy with the next Full Self-Driving update, which will be released to Early Access Program (EAP) members today.

Tesla just recently released the v14 Full Self-Driving update, and it followed up just a few days later with v14.1.1.

The subsequent release helped refine a handful of things, especially an issue with stuttering at intersections and overall indecisiveness, but it was more of a smoothing over of the initial v14.1 Full Self-Driving release.

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However, on Wednesday evening, Tesla’s Head of AI, Ashok Elluswamy, said that the company would be releasing v14.1.2 to EAP members today, and that it would “debut a much-awaited feature.”

He followed that up with a racecar emoji and a smoke emoji, potentially hinting toward something speed-related. However, it could mean something totally different.

Some suggested it was potentially a new Speed Profile that could rank above the “Hurry” option, but that seems unnecessary. As far as other features that have been teased, one that definitely comes to mind is the “Banish” feature that was recently teased by CEO Elon Musk.

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Banish is essentially the finishing touch to Tesla’s Actually Smart Summon (ASS), which launched earlier this year.

While ASS will bring your car to your location using the Tesla app on your phone, Banish does just the opposite by dropping you off at the door of your destination and finding a parking spot on its own.

Elon Musk teases ‘Banish’ feature to pair perfectly with Summon

This was recently teased by Musk yet again, as he said earlier this month that Full Self-Driving would be capable of it very soon.

Based on what we’ve seen out of v14.1 and v14.1.1, there is some potential that Banish could be released and could be the feature that Elluswamy is hinting toward, although there is no direct evidence of that.

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Luckily, I was able to get into the EAP, so as the feature is released and the Release Notes are available, we’ll be able to report on exactly what feature is on the way.

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Tesla benefits from new incentive program that’s active after tax credit loss

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(Credit: Tesla)

Tesla benefits from an incentive program in Texas that has become active following the loss of the $7,500 EV tax credit, which was a significant advantage for EV drivers.

In Texas, the State Commission on Environmental Quality has a grant program for light-duty motor vehicles that are either purchased or leased by consumers.

Referred to as the Light-Duty Motor Vehicle Purchase or Lease Incentive Program (LDPLIP), the program opened on October 13 and provides grants for consumers who want to buy new energy vehicles.

Will Tesla thrive without the EV tax credit? Five reasons why they might

The program allows for grants of up to $2,500 for electric or hydrogen fuel cell vehicles.

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These are the eligibility criteria:

  • Individuals or entities who purchase or lease an eligible vehicle on or after September 1, 2025, and who apply for or acquire title and registration of the vehicle in Texas
  • Applicants must have taken possession of the vehicle before applying
  • Applicants must commit to operating and registering the vehicle in Texas for at least one year

Additionally, the car must:

  • Be included on the TCEQ Eligible Vehicle List
  • Be new and must not have been the subject of any prior retail sale or lease
  • Have a gross vehicle weight rating of 10,000 pounds or less

They are awarded on a first-come, first-served basis.

The good news is that Tesla’s entire vehicle lineup, as of October 7, qualifies. Here is what the LDPLIP’s list of qualifying vehicles shows for Tesla:

  • Tesla Cybertruck AWD
  • Tesla Cybertruck Beast
  • Tesla Model S AWD
  • Tesla Model S Plaid
  • Tesla Model X AWD
  • Tesla Model X Plaid
  • Tesla Model Y Long Range RWD
  • Tesla Model Y Long Range AWD
  • Tesla Model Y Performance
  • Tesla Model 3 Long Range RWD
  • Tesla Model 3 Long Range AWD
  • Tesla Model 3 Performance

This list was published during the day of October 7, which is coincidentally the same day Tesla launched its Tesla Model 3 ‘Standard’ and Tesla Model Y ‘Standard.’

We reached out to the program to confirm that these vehicles qualify for that grant, and we will update when we hear back.

With the loss of the Federal EV Tax Credit, local programs are still available to help with the cost of an EV. Although electric cars are affordable, there are benefits to choosing one, especially as these grant programs continue to become available.

The full list of vehicles that qualify for the grant is available here.

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