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OpenAI reveals self-play information after successful Dota 2 test

Source: OpenAI

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OpenAI is revealing more information about its bot system after its win streak in the game Dota 2 last Friday, and it’s another step forward in the world of artificial intelligence.

The graph below was released this morning by OpenAI, which depicts the rate at which the bot improved in playing Dota 2.

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(Source: OpenAI)

“Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman, given sufficient compute,” OpenAI wrote in a post. “In the span of a month, our system went from barely matching a high-ranked player to beating the top pros and has continued to improve since then. Supervised deep learning systems can only be as good as their training datasets, but in self-play systems, the available data improves automatically as the agent gets better.”

OpenAI’s Dota 2 project started in March of this year, starting the bot off with simple tasks.

For background, Dota 2 is a free multiplayer battlefield game on Steam, a gaming streaming site. The game prides itself on not imposing limits on its players.

The bot went on an impressive winning streak starting on August 7, beating a notable Dota 2 player named Blitz. That same day, the bot beat two more high-ranking players. The following day, the bot beat Arteezy, another respected player in the game. All four of the players the bot defeated said that fellow player SumaiL could defeat the bot.

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SumaiL did not fare as well as his comrades thought he would.

Finally, the bot took on Dota 2’s former world champion, Dendi. The bot beat Dendi 2-0.

As for how the bot learned to play the came, OpenAI had the following explanation, “The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goals in messy, complicated situations involving real humans.”

Some of the skills that the bot picked up were the ability to predict where players will move, to improvise in response to new situations, and how to influence the other players.

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In between battles, OpenAI workers combined some “coaching” with self-play, which helped the bot continuously improve.

OpenAI is a non-profit AI research company, founded by Tesla CEO Elon Musk, that researches safe artificial intelligence.

The Musk company has previously trained bots to successfully compete a task after watching it on virtual reality just once, and developed bots that created their own language.

Musk’s involvement in AI should come as no surprise as he has reiterated time and time again how important, and potentially dangerous, AI can be.

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“I have exposure to the most cutting edge AI and I think people should be really concerned about it,” Musk has previously said. “I keep sounding the alarm bell, but until people see robots going down the street killing people, they don’t know how to react because it seems so theorial.”

Aside from OpenAI, Musk is also the CEO of Neuralink, a brain-computer interface company.

The developments of the bot in these varied complex scenarios is a fairly large step forward in discovering the power of artificial intelligence. With limited input form the OpenAI engineers, the bot went from a decent player to being essentially unstoppable. This holds a promising future for further AI developments, if they can be contained.

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Tesla plant manager tips off affordable model production

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Credit: @Gf4Tesla/X

A plant manager at a Tesla factory just tipped off the fact that the company will begin production of an affordable model in the coming weeks, all but confirming that a new car will be unveiled tomorrow.

Tesla has been teasing some kind of product unveiling for October 7 on its social media accounts. It has now dropped two separate indications that a new product is coming on its X account.

Fans have been anticipating two things: either the company’s planned affordable model, which has been codenamed “E41,” or the Roadster, a long-awaited vehicle that Tesla has kept under wraps for much longer than it would likely care to admit.

Tesla all but confirms that affordable Model Y is coming Tuesday

André Thierig, Tesla’s plant manager at the German production plant Gigafactory Berlin, tipped off what is likely coming tomorrow at the product unveiling as he revealed during an internal event today that a light version of the Model Y will begin series production and deliveries “in a few weeks.”

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Thierig’s revealing of plans was reported by Handelsblatt, a German media outlet.

The description of a “light version of the Model Y” aligns with what CEO Elon Musk said earlier this year, as well as what we have seen on public roads, both covered and uncovered.

Last week, we finally saw an uncovered version of what the affordable model likely is, as it was cruising around near Gigafactory Texas, just outside of Austin.

Tesla coding shows affordable model details, including potential price

Musk said earlier this year, candidly during an Earnings Call, that the affordable model Tesla planned to release was a Model Y.

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“It’s just a Model Y. Let the cat out of the bag there,” Musk said.

The images of what we assumed to be the affordable model lined up with Musk’s candid statement:

Tesla is expected to unveil its affordable model tomorrow during the planned event, which has been teased twice. Pricing and other details are still pending, but the company is expected to reveal this information tomorrow.

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Three things Tesla needs to improve with Full Self-Driving v14 release

These are the three things I’d like to see Tesla Full Self-Driving v14 improve.

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As Tesla plans to release Full Self-Driving version 14 this week after CEO Elon Musk detailed a short delay in its rollout, there are several things that continue to plague what are extremely well-done drives by the suite.

Tesla Full Self-Driving has truly revolutionized the way I travel, and I use it for the majority of my driving. However, it does a few things really poorly, and these issues are consistent across many drives, not just one.

Tesla Full Self-Driving impressions after three weeks of ownership

Musk has called FSD v14 “sentient” and hinted that it would demonstrate drastic improvements from v13. The current version is very good, and it commonly performs some of the more difficult driving tasks well. I have found that it does simple, yet crucial things, somewhat poorly.

These are the three things I’d like to see Tesla Full Self-Driving v14 improve.

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Navigation, Routing, and Logical Departure

My biggest complaint is how poorly the navigation system chooses its route of departure. I’ve noticed this specifically from where I Supercharge. The car routinely takes the most illogical route to leave the Supercharger, a path that would require an illegal U-turn to get on the correct route.

I managed to capture this yesterday when leaving the Supercharger to go on a lengthy ride using Full Self-Driving:

You’ll see I overrode the attempt to turn right out of the lot by pushing the turn signal to turn left instead. If you go right, you’ll go around the entire convenience store and end up approaching a traffic light with a “No U-Turn” sign. The car has tried to initiate a U-turn at this light before.

If you’re attempting to get on the highway, you simply have to leave the convenience store on a different route (the one I made the vehicle go in).

It then attempted to enter the right lane when the car needed to remain in the left lane to turn left and access the highway. I manually took over and then reactivated Full Self-Driving when it was in the correct lane.

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To achieve Unsupervised Full Self-Driving, such as navigating out of a parking lot and taking the logical route, while also avoiding illegal maneuvers, is incredibly crucial.

Too Much Time in the Left Lane on the Highway

It is illegal to cruise in the left lane on highways in all 50 U.S. states, although certain states enforce it more than others. Colorado, for example, has a law that makes it illegal to drive in the left lane on highways with a speed limit of 65 MPH or greater unless you are passing.

In Florida, it is generally prohibited to use the left lane unless you are passing a slower vehicle.

In Pennsylvania, where I live, cruising in the left lane is illegal on limited-access highways with two or more lanes. Left lanes are designed for passing, while right lanes are intended for cruising.

Full Self-Driving, especially on the “Hurry” drive mode, which drives most realistically, cruises in the left lane, making it in violation of these cruising laws. There are many instances when it has a drastic amount of space between cars in the right lane, and it simply chooses to stay in the left lane:

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The clip above is nearly 12 minutes in length without being sped up. In real-time, it had plenty of opportunities to get over and cruise in the left lane. It did not do this until the end of the video.

Tesla should implement a “Preferred Highway Cruising Lane” option for two and three-lane highways, allowing drivers to choose the lane that FSD cruises in.

It also tends to pass vehicles in the slow lane at a speed that is only a mile an hour or two higher than that other car.

This holds up traffic in the left lane; if it is going to overtake a vehicle in the right lane, it needs to do it faster and with more assertiveness. It should not take more than 5-10 seconds to pass a car. Anything longer is disrupting the flow of highway traffic.

Parking

Full Self-Driving does a great job of getting you to your destination, but parking automatically once you’re there has been a pain point.

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As I was arriving at my destination, it pulled in directly on top of the line separating two parking spots. It does this frequently when I arrive at my house as well.

Here’s what it looked like yesterday:

Parking is one of the easier tasks Full Self-Driving performs, and Autopark does extremely well when the driver manually chooses the spot. I use Autopark on an almost daily basis.

However, if I do not assist the vehicle in choosing a spot, its performance pulling into spaces is pretty lackluster.

With a lot of hype surrounding v14, Tesla has built up considerable anticipation among owners who want to see FSD perform the easy tasks well. As of now, I believe it does the harder things better than the easy things.

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Elon Musk teases previously unknown Tesla Optimus capability

Elon Musk revealed over the weekend that the humanoid robot should be able to utilize Tesla’s dataset for Full Self-Driving (FSD) to operate cars not manufactured by Tesla.

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Credit: @heydave7/X

Elon Musk revealed a new capability that Tesla Optimus should have, and it is one that will surely surprise many people, as it falls outside the CEO’s scope of his several companies.

Tesla Optimus is likely going to be the biggest product the company ever develops, and Musk has even predicted that it could make up about 80 percent of the company’s value in the coming years.

Teasing the potential to eliminate any trivial and monotonous tasks from human life, Optimus surely has its appeal.

However, Musk revealed over the weekend that the humanoid robot should be able to utilize Tesla’s dataset for Full Self-Driving (FSD) to operate cars not manufactured by Tesla:

FSD would essentially translate from operation in Tesla vehicles from a driverless perspective to Optimus, allowing FSD to basically be present in any vehicle ever made. Optimus could be similar to a personal chauffeur, as well as an assistant.

Optimus has significant hype behind it, as Tesla has been meticulously refining its capabilities. Along with Musk’s and other executives’ comments about its potential, it’s clear that there is genuine excitement internally.

This past weekend, the company continued to stoke hype behind Optimus by showing a new video of the humanoid robot learning Kung Fu and training with a teacher:

Tesla plans to launch its Gen 3 version of Optimus in the coming months, and although we saw a new-look robot just last month, thanks to a video from Salesforce CEO and Musk’s friend Marc Benioff, we have been told that this was not a look at the company’s new iteration.

Instead, Gen 3’s true design remains a mystery for the general public, but with the improvements between the first two iterations already displayed, we are sure the newest version will be something special.

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