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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.

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

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Elon Musk gives nod to SpaceX’s massive, previously impossible feat

It was the booster’s 30th flight, a scenario that seemed impossible before SpaceX became a dominant force in spaceflight. 

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Credit: SpaceX/X

Elon Musk gave a nod to one of SpaceX’s most underrated feats today. Following the successful launch of the Transporter-15 mission, SpaceX seamlessly landed another Falcon 9 booster on a droneship in the middle of the ocean. 

It was the booster’s 30th flight, a scenario that seemed impossible before SpaceX became a dominant force in spaceflight. 

Elon Musk celebrates a veteran Falcon 9 booster’s feat

SpaceX completed another major milestone for its Smallsat Rideshare program on Friday, successfully launching and deploying 140 spacecraft aboard a Falcon 9 from Vandenberg Space Force Base. The mission, known as Transporter-15, lifted off two days later than planned after a scrub attributed to a ground systems issue, according to SpaceFlight Now. SpaceX confirmed that all payloads designed to separate from the rocket were deployed as planned.

The Falcon 9 used for this flight was booster B1071, one of SpaceX’s most heavily flown rockets. With its 30th mission completed, it becomes the second booster in SpaceX’s fleet to reach that milestone. B1071’s manifest includes five National Reconnaissance Office missions, NASA’s SWOT satellite, and several previous rideshare deployments, among others. Elon Musk celebrated the milestone on X, writing “30 flights of the same rocket!” in his post. 

Skeptics once dismissed reusability as unfeasible

While rocket landings are routine for SpaceX today, that was not always the case. Industry veterans previously questioned whether reusable rockets could ever achieve meaningful cost savings or operational reliability, often citing the Space Shuttle’s partial reusability as evidence of failure. 

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In 2016, Orbital ATK’s Ben Goldberg argued during a panel that even if rockets could be reusable, they do not make a lot of sense. He took issue with Elon Musk’s claims at the time, Ars Technica reported, particularly when the SpaceX founder stated that fuel costs account for just a fraction of launch costs. 

Goldberg noted that at most, studies showed only a 30% cost reduction for low-Earth orbit missions by using a reusable rocket. “You’re not going to get 100-fold. These numbers aren’t going to change by an order of magnitude. They’re just not. That’s the state of where we are today,” he said. 

Former NASA official Dan Dumbacher, who oversaw the Space Launch System, expressed similar doubts in 2014, implying that if NASA couldn’t make full reusability viable, private firms like SpaceX faced steep odds.

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Tesla AI and Autopilot VP hints that Robovan will have RV conversions

Tesla’s vice president of AI and Autopilot software, Ashok Elluswamy, hinted at the linitiative in a reply to Y Combinator CEO Garry Tan.

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(Credit: Tesla)

It appears that Tesla is indeed considering an RV in its future pipeline, though the vehicle that would be converted for the purpose would be quite interesting. This is, at least, as per recent comments by a Tesla executive on social media platform X.

Robovan as an RV

Tesla’s vice president of AI and Autopilot software, Ashok Elluswamy, hinted at the linitiative in a reply to Y Combinator CEO Garry Tan, who called for a startup to build RVs with Full Self-Driving capabilities. In his reply, Elluswamy simply stated “On it,” while including a photo of Tesla’s autonomous 20-seat people mover. 

Tesla unveiled the Robovan in October 2024 at the “We, Robot” event. The vehicle lacks a steering wheel and features a low floor for spacious interiors. The vehicle, while eclipsed by the Cybercab in news headlines, still captured the imagination of many, as hinted at by X users posting AI-generated images of Robovan RV conversions with beds, kitchens and panoramic windows on social media platforms. One such render by Tesla enthusiast Mark Anthony reached over 300,000 views on X.

Elon Musk on the Robovan

Elon Musk addressed the Robovan’s low profile in October 2024, stating the van uses automatic load-leveling suspension that raises or lowers based on road conditions. The system maintains the futuristic look while handling uneven pavement, Musk wrote on X. The CEO also stated that the Robovan is designed to be very airy inside, which would be great for an RV.

“The view from the inside is one of extreme openness, with visibility in all directions, although it may appear otherwise from the outside. The unusually low ground clearance is achieved by having an automatic load-leveling suspension that raises or lowers, based on smooth or bumpy road conditions,” Musk stated. 

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Elluswamy’s response on X suggests that Tesla is considering a Robovan RV conversion, though it would be interesting to see how the company will make the vehicle capable of reaching campsites. The Robovan has a very low ground clearance, after all, and campsites tend to be in unpaved areas. 

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Tesla tinkering with Speed Profiles on FSD v14.2.1 has gone too far

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Credit: Tesla

Tesla recently released Full Self-Driving (FSD) v14.2.1, its latest version, but the tinkering with Speed Profiles has perhaps gone too far.

We try to keep it as real as possible with Full Self-Driving operation, and we are well aware that with the new versions, some things get better, but others get worse. It is all part of the process with FSD, and refinements are usually available within a week or so.

However, the latest v14.2.1 update has brought out some major complaints with Speed Profiles, at least on my end. It seems the adjustments have gone a tad too far, and there is a sizeable gap between Profiles that are next to one another.

The gap is so large that changing between them presents a bit of an unwelcome and drastic reduction in speed, which is perhaps a tad too fast for my liking. Additionally, Speed Profiles seem to have a set Speed Limit offset, which makes it less functional in live traffic situations.

Before I go any further, I’d like to remind everyone reading this that what I am about to write is purely my opinion; it is not right or wrong, or how everyone might feel. I am well aware that driving behaviors are widely subjective; what is acceptable to one might be unacceptable to another.

Speed Profiles are ‘Set’ to a Speed

From what I’ve experienced on v14.2.1, Tesla has chosen to go with somewhat of a preset max speed for each Speed Profile. With ‘Hurry,’ it appears to be 10 MPH over the speed limit, and it will not go even a single MPH faster than that. In a 55 MPH zone, it will only travel 65 MPH. Meanwhile, ‘Standard’ seems to be fixed at between 4-5 MPH over.

This is sort of a tough thing to have fixed, in my opinion. The speed at which the car travels should not be fixed; it should be more dependent on how traffic around it is traveling.

It almost seems as if the Speed Profile chosen should be more of a Behavior Profile. Standard should perform passes only to traffic that is slower than the traffic. If traffic is traveling at 75 MPH in a 65 MPH zone, the car should travel at 75 MPH. It should pass traffic that travels slower than this.

Hurry should be more willing to overtake cars, travel more than 10 MPH over the limit, and act as if someone is in a hurry to get somewhere, hence the name. Setting strict limits on how fast it will travel seems to be a real damper on its capabilities. It did much better in previous versions.

Some Speed Profiles are Too Distant from Others

This is specifically about Hurry and Mad Max, which are neighbors in the Speed Profiles menu. Hurry will only go 10 MPH over the limit, but Mad Max will travel similarly to traffic around it. I’ve seen some people say Mad Max is too slow, but I have not had that opinion when using it.

In a 55 MPH zone during Black Friday and Small Business Saturday, it is not unusual for traffic around me to travel in the low to mid-80s. Mad Max was very suitable for some traffic situations yesterday, especially as cars were traveling very fast. However, sometimes it required me to “gear down” into Hurry, especially as, at times, it would try to pass slower traffic in the right lane, a move I’m not super fond of.

We had some readers also mention this to us:

After switching from Mad Max to Hurry, there is a very abrupt drop in speed. It is not violent by any means, but it does shift your body forward, and it seems as if it is a tad drastic and could be refined further.

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