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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.

Dota

(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.

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

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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.

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.

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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.

“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.

Interim East Coast Editor for Teslarati, contributor for NextMobility. Share tips at mdolzer@teslarati.com

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Investor's Corner

SpaceX gets an absolutely crazy price target after rough IPO

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Credit: SpaceX

SpaceX (NASDAQ: SPCX) got an absolutely crazy price target rating from Raymond James after the company experienced a tough first few weeks following its Initial Public Offering (IPO).

Despite the tumultuous start, SpaceX has plenty of believers, and the company’s massively successful Starship launch last Friday, its 13th test flight of the massive rocket, went so smoothly that Raymond James analysts pushed its price target on the company to roughly 7 times its current trading level.

SpaceX Starship just nailed something it’s never done before

The firm officially put a “Strong Buy” rating and an $800 price target on the stock. It currently trades at around $113. Its all-time high is $225.64, reaching this trading level shortly after shares first went public.

Raymond James’ price target is tied to the firm’s confidence after Starship’s 13th test flight. Analysts at the firm said it was an incremental step that reduces engineering risks, citing the widely successful heat shield test that CEO Elon Musk recently detailed, the smooth deployment of Starlink V3 satellites, and a successful in-space engine relight.

SpaceX also managed to see Starship splash down safely in the Indian Ocean, while the Super Heavy Booster fell down to the Gulf of America with no incidents.

It is interesting to see these launches have such a tremendous impact on the stock and what investors think of it. After SpaceX initially delayed the Starship launch last week, shares fell tremendously. Most probably did not realize that the stand-down is a standard practice, especially if everything is not perfect.

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The mission was initially aborted due to an issue with Raptor engines. This was resolved, and Starship launched last Friday after another delay on Thursday, which was caused by weather.

Now that analysts have seen what SpaceX launches are capable of and how impressive the feat is, firms are adjusting their price targets accordingly, making it known that they have high expectations for the space exploration company.

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Elon Musk responds to Volvo’s latest LiDAR decision

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(Credit: Tesla)

Tesla CEO Elon Musk has responded to reports that Volvo is officially discontinuing the LiDAR sensor on two of its cars.

Volvo announced that it would officially scrap LiDAR systems on its EX90 and ES90 vehicles in various markets. In Norway, owners will get a €1,800 compensation for features that will never arrive due to this decision. There will be no option to remove the unit from vehicles, either.

The issue stems from Volvo’s supplier, Luminar, and its bankruptcy filing. Luminar will no longer be able to supply LiDAR units to Volvo for the EX90 and ES90, effectively axing any use the unit has on vehicles. Volvo will phase out the data collection processes via the LiDAR system, and it will not be utilized whatsoever.

Musk saw the story on X and responded, stating:

“I did try to warn them. Humans drive using neural nets and optical sensors. Same is true for robot cars.”

Musk has been publicly vocal about his disdain for LiDAR systems, once calling them “a fool’s errand,” as he has consistently kept the outlook that they are not needed for effective self-driving.

The typical example used as evidence for this by Musk is humans themselves: made with only eyes and memories, humans are capable of navigating a car by using what they can see and what they’ve personally experienced on the road.

Elon Musk argues lidar and radar make self driving cars more dangerous

“Same is true for robot cars,” Musk says, as Teslas have eight exterior cameras that help see everything surrounding the vehicle, and a neural network that analyzes behavior and tendencies with every mile driven.

Tesla is a vision-only self-driving company that ditched sensors and radar several years ago in favor of cameras. Behind this effort, the company has established a reputation for having one of the most robust self-driving platforms in the world.

Musk’s big bet with Tesla on its self-driving program’s strategy has widely paid off. Other companies continue to utilize things like LiDAR, radar, and sensors for effective self-driving, but Tesla has shown that there is more than one way to give consumers a strong and accurate driver assistance suite.

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The real question is: who will be the first company to take Musk’s advice and attempt a self-driving platform based on cameras only, or even license FSD for themselves?

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Tesla Summer Update begins rolling out: a look at the new features

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Credit: Tesla

Tesla has started to deploy the 2026 Summer Update to owners across its fleet, and among the biggest changes are improvements to Navigation, a new startup animation for the Model 3 and Model Y, Caraoke scoring, and new capabilities for Grok.

As the update has started making its way to some cars, we can now see a few of the features operating in real-time. We will show you what some of the new features look like in this article, along with some additional details on what changed.

Not all of the new features in the 2026 Summer Update have quite made an appearance, but some of them have, so we’ll show those here:

New Animation Screen for 3/Y

Tesla is rolling out a new startup animation for Tesla Model 3 and Model Y owners. This is present in Launch Edition and Performance Model 3 and Model Y, but other trim levels do not have anything like this.

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Owners can adjust the color associated with the startup animation to suit their preferences. It is a surprise that more automakers do not focus on this animation for their vehicles; it can be a great first impression piece and make the car immediately feel more luxurious.

Tesla has included this on more premium trims, but it is nice to see it on the Model 3 and Model Y.

Grok Improvements

Grok can now adjust more things in the car outside of the Navigation system. Now, drivers can adjust anything from climate to driving settings by simply speaking to the AI assistant in the car:

You don’t even have to push a button, either. Instead, you can just say “Hey, Grok,” if you have it enabled. That feature rolled out with the 2026 Spring Update just a few months back.

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This is a great feature, especially pertinent for the Robotaxi platform, as there will be no buttons inside the Cybercab when it eventually starts giving rides to the public. It also broadens Grok’s capabilities, which were relatively limited in terms of vehicle setting adjustments beforehand.

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