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.
(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.
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.
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.
Tesla just told us twice that the Model Y L is coming to the U.S., and two social media posts definitely just tipped the company’s hand, as if they wanted it to be any other way.
The two social media posts basically confirm that the slightly longer version of the Model Y will be heading to the United States soon, and many have speculated that the company could launch the vehicle as soon as this weekend.
The first post was directly from Tesla, and it showed an incredibly long Dachshund, with words above that said, “Looking forward to the long weekend.”
Looking forward to the long weekend pic.twitter.com/URzH6zOUdn
— Tesla (@Tesla) July 1, 2026
Anyone who knows Tesla knows the company loves to troll its fans and have fun, and this is a perfect example of that. While not a direct acknowledgement, Tesla is very involved on social media, especially CEO Elon Musk’s platform X, and the company is well aware of what is being discussed within the community.
With recent sightings of Model Y L test mules in California, peeks of the vehicle at Giga Texas, and a large call for the car to come to the U.S., Tesla is simply stoking conversation with this.
However, the company also made another move that was recognized on social media. Tesla has a large gallery that includes photos of its products so media and others can use them. This gallery applies to the U.S. market specifically, unless otherwise specified.
Tesla uploaded a Model Y L to the Gallery last night:
This looks like a Model Y L https://t.co/TpnBwrLmH9
— TESLARATI (@Teslarati) July 2, 2026
This seems to be another indication that the Model Y L is coming to the United States.
Musk said last year that the Model Y L could make its way to the United States late this year, but it was not something that was set in stone by Tesla. The company definitely needs to establish something in the SUV market that is larger than the Model Y, and the Model Y L might be the answer.
Even still, there are consumers out there who would love Tesla to develop something even larger, like a competitor to the Tahoe or Expedition. Tesla has not really given much of an indication that it will go in that direction.
Tesla is using the vehicles’ internal microphones to improve build quality, Vice President of Engineering Lars Moravy revealed recently.
It’s no secret that Tesla is always finding ways to make its manufacturing operations more efficient, accurate, and valuable. Constantly trying to make its cars better, the company has never placed any restrictions on what it will do to improve everything from panel gaps to paint.
As Teslas have been driving autonomously on the property of the Gigafactory Texas plant for a while now, Moravy revealed to Herbert Ong in a new interview that cars rolling off production lines now autonomously navigate themselves through a bumps, squeaks, and rattles (BSR) portion of the line. This helps to identify any loose or improperly installed internal parts.
The cabin’s microphones, which are used for a variety of things in ownership, simultaneously monitor any noises inside the vehicle while it rolls through the BSR portion of the production line. Moravy actually revealed that Tesla is trying to build “Full Self-Hearing,” an AI system that will detect minor imperfections so they can be corrected before delivery.
It’s no secret that build quality is something that Tesla struggled with as it scaled to a fully massive production operation that manufactures over 1.6 million vehicles per year. However, in recent years, especially, there have not been as many complaints. Tesla has truly improved upon its build quality and paint quality over the past several years, especially in the U.S.
Tesla’s ‘megacasts’ are key to massive build quality improvements
While those improvements have been evident, there are still some complaints; no automaker is perfect with this. But this step will now ensure that every single car that rolls off the production lines at Gigafactory Texas will be void of any creaks, squeaks, or squeals when it leaves the factory.
This measure is one of the most unique we’ve seen in terms of a strategy to avoid build quality issues, but it is not exclusive to Tesla.
Ford uses acoustic analysis AI to find abnormalities in seat motors, climate control units, and other components. Suppliers and OEMs will also use microphone arrays or particle velocity sensors in end-of-line stations.
The full interview with Lars Moravy is available below:
🚨 If you’re a Tesla investor, this is one interview you don’t want to skip. The full video posted below.
Jeff Lutz @thejefflutz and I sat down with Tesla VP of Engineering Lars Moravy, and it was packed with insights!
A few of the biggest takeaways:
• Cybercab is expected to… pic.twitter.com/fhYSr2dCqP
— Herbert Ong (@herbertong) July 1, 2026
Investor's Corner
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
Tesla (NASDAQ: TSLA) beat Wall Street expectations of 406,000 vehicles delivered in Q2 by reporting 480,126 deliveries for the three months ending in June.
Tesla reported it delivered 467,762 Model 3 and Model Y units, while 12,364 Model S, Model X, and Cybertrucks switched hands during the quarter. The Model S and Model X were officially sunset this past quarter and will no longer be part of the company’s Production & Delivery reports moving forward.
🚨 BREAKING: Tesla delivered 480,126 vehicles in Q2, ANNIHILATING Wall Street expectations of 406,000. Production was reported at 451,758.
Deliveries:
Model 3/Y: 467,762
Other Models: 12,364Production:
Model 3/Y: 442,936
Other Models: 8,822 https://t.co/TTHwQAsKt8 pic.twitter.com/7qI4Zj6FE5— TESLARATI (@Teslarati) July 2, 2026
The quarter is a pleasant surprise and a good rebound from Q1, when Tesla slightly missed the Wall Street consensus of 365,645 cars by reporting 358,023 deliveries for the first three motnhs of the year.
Energy storage deployments also provided some strength in Tesla’s delivery report, hitting 13.5 GWh for Q2. This is a particular division of Tesla’s business that has been overwhelmingly robust over the past few years, truly being a strong point of the company’s overall model.
For the year, Tesla analysts still predict deliveries to trend in the 1.69 million unit region, a modest 3 to 5 percent increase from the 1.64 million cars the company delivered last year. Tesla will likely return to more sequential and noticeable year-over-year growth as the Cybercab project starts to ramp up considerably in the next few years.
Tesla has some other potential catalysts to spur vehicle deliveries, too. Not only is it expecting Cybercab to truly start making a change in the next few years, but other vehicles could be entering the company’s lineup.
Tesla sends production Cybercab with no steering wheel, pedals to on-road testing
The slightly longer Model Y L has been a highly speculated release candidate in the U.S. It has already done incredibly well in China, and U.S. buyers have been wanting slightly more interior space than the Model Y. Now that the Model X is gone, it is more needed than ever.
Q2 highlights a pretty stable automotive division within Tesla, and no true concerns arise from these figures, especially considering it managed to beat expectations convincingly.
Tesla just told us twice that Model Y L is coming to the U.S.
Tesla is using vehicle microphones to improve build quality: here’s how
