Connect with us

News

Elon Musk’s OpenAI bots crush veteran DOTA 2 players ahead of International tournament

Published

on

OpenAI’s team of AI-powered Dota 2 bots have reached yet another impressive milestone — it was able to beat the five veteran players in a 3-on-3 match, dominating two rounds before being defeated narrowly in the third match. The OpenAI Five are now headed to The International, a worldwide event later this month where the world’s best Dota 2 players will battle it out for the chance to be crowned 2018’s Dota 2 champions.

The OpenAI Five clashed with popular Dota 2 personalities such as Ben “Merlini” Wu, William “Blitz” Lee, Ioannis “Fogged” Lucas, David “MoonMeander” Tan, and Austin “Capitalist” Walsh. The bots completely overpowered Team Human in the first game, with the players unable to destroy any of the of the bots’ towers before the end of the match. The Dota 2 pros fought harder in the second round and managed to destroy one of the OpenAI Five’s towers, but they ultimately had to admit defeat to the bots.

Team Human did squeeze out a win in the third match, but not without some strings attached. The characters Open AI played were selected by Twitch users, giving Team Human a slight advantage. The team of bots calculated a 2.9% chance of winning before the start of the game based on its heroes’ lineup. The bots nevertheless fought a hard battle, at one point predicting a 17% win probability before succumbing to Team Human’s assault 35:47 into the game.

OpenAI’s initiatives with Dota 2 began in March last year. The first bot the nonprofit created started training with simple tasks and self-play. On August 7, 2017, the bot started an impressive winning streak after it defeated Blitz, a well-known player in the Dota 2 community. Later, the bot managed to win against two other high-ranking players. It continued with its winning streak defeating well-respected Dota 2 player Arteezy the day after. The Open AI bot went on to best other notable players including, SumaiL, and former world champion, Dendi.

This year’s team of bots involved a serious amount of hardware and training. The nonprofit research lab employed a scaled-up version of Proximal Policy Optimization running on 256 GPUs and 128,000 cores, a similar setup used in last year’s bot which dominated in 1-vs-1 Dota 2 matches. The OpenAI Five also played roughly 180 years worth of gameplay every day through reinforcement learning, which allowed the bots to develop advanced skills for the game.

OpenAI Five’s latest win against its most formidable adversaries yet ultimately demonstrates the immense progress the bots have made over the past few months. The bots were losing to amateur players in May, but by June, it had matured enough to beat casual gamers. Now, the bots have shown that they are good enough to defeat gamers that have been playing Dota 2 for years. Nevertheless, it is still up for question if OpenAI Five can beat the best players in the game at The International later this month.

Advertisement
-

Watch OpenAI Five dominate Team Human in the video below.

https://www.youtube.com/watch?v=a7_mnrxFmo0

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

Lifestyle

Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

Published

on

By

Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

Advertisement
-

On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

Continue Reading

News

Tesla says fixes on Full Self-Driving’s two biggest issues are on the way

Published

on

Tesla Full Self-Driving is set to receive improvements to address its two biggest issues, according to a company engineer.

Director of Engineering at Tesla AI, Phil Duan, revealed in a post on X that improvements to both pothole avoidance and navigation “are coming,’ something we have heard many times in the past. However, there are a few things that seem to hint that things might be different this time around.

Pothole avoidance, navigation, speed control, and left lane camping are some of the most prevalent and frequently mentioned shortcomings of the Full Self-Driving suite. These are a few of the biggest issues that have kept Tesla Full Self-Driving as a Supervised suite, meaning drivers must remain attentive during operation.

Pothole Avoidance

Pothole avoidance was first mentioned as an “Upcoming Improvement” with the Tesla Full Self-Driving v14.3 update back in early April of this year. It was listed alongside “Expand reasoning to all behaviors beyond destination handling.”

Advertisement
-

Tesla is fixing Full Self-Driving’s pothole problem

It’s been six months since we first saw pothole avoidance explicitly mentioned, and it has not moved beyond that and joined the main release notes yet.

Tesla has not shed any light on why pothole avoidance has been such an issue for it to solve, but it also has issues identifying large bumps much of the time, so its modeling of sudden changes in road conditions is likely pretty weak at this particular point. I’ve had more issues with large bumps than potholes, personally, but both are issues that need to be resolved.

Advertisement
-

It makes sense that things might be pretty close to being released to the public, as we are going on such an extensive period of time between it being mentioned and it actually being deployed.

Navigation

Navigation is likely the most painful part of using Full Self-Driving, as it routinely takes strange routes, has trouble with local rules (like Except Right Turn Stop Signs in Pennsylvania), and sometimes does not realize that maneuvers it is suggesting are against the law. Turning out of my neighborhood, you cannot turn left, yet my Model Y still suggests it roughly 70 percent of the time when I’m leaving.

However, Tesla might be close to a breakthrough on this. With the Summer Update, Tesla added “Preferred Routes” alongside “Automatic Navigation.”

Preferred Routes prioritized roads that the driver had actually taken before, instead of always defaulting to what the vehicle believes is the most efficient path. This has already solved many of my issues. Formerly, I would turn off the Online Routing setting, and that would eliminate most of my complaints with routing, but then you lose out later on the Live Traffic Visualization.

Tesla’s Navigation has improved tremendously thanks to the Preferred Routes release with the Summer Update, but it still could use some polishing, as it still suggests strange routes from time to time, and it also has a lot of issues getting out of a parking lot. I find that those truly confuse FSD sometimes.

Advertisement
-
Continue Reading

News

SpaceX’s midnight spy satellite launch quietly set a new record

Falcon Heavy launched its first NRO mission while SpaceX landed four boosters in one day.

Published

on

By

SpaceX's Falcon Heavy lifts off from Launch Complex 39A at NASA's Kennedy Space Center at 11:54 p.m. ET on October 1, 2026, carrying the classified NROL-97 mission for the National Reconnaissance Office. (Credit: SpaceX)
SpaceX's Falcon Heavy lifts off from Launch Complex 39A at NASA's Kennedy Space Center at 11:54 p.m. ET on October 1, 2026, carrying the classified NROL-97 mission for the National Reconnaissance Office. (Credit: SpaceX)

SpaceX closed out one of its busiest days ever with a midnight Falcon Heavy launch from Florida, and the rocket’s two side boosters came home to finish off a landing record the company had never set before.

Falcon Heavy lifted off from Launch Complex 39A at NASA’s Kennedy Space Center at 11:54 p.m. ET Thursday carrying NROL-97, a classified payload for the National Reconnaissance Office. It was the first time the NRO has flown on Falcon Heavy after 22 missions on Falcon 9, and the first NRO mission bought through the National Security Space Launch Phase 3 Lane 2 contract awarded in 2025, according to Spaceflight Now.

Roughly eight minutes after liftoff, side boosters B1104 and B1072 touched down at Landing Zones 1 and 2 at Cape Canaveral Space Force Station, setting off double sonic booms across Brevard County. B1104 was flying for the second time and B1072 for the fourth. Both last flew on August 30 on NASA’s Nancy Grace Roman Space Telescope, making NROL-97 the quickest turnaround between Falcon Heavy missions to date. The brand new center core, B1106, was expended in the Atlantic so the payload could reach its high energy orbit, and SpaceX’s mission page noted the fairing had previously flown on the NROL-95 mission in July.

The two landings capped a record for SpaceX. Earlier Thursday, Falcon 9 booster B1101 returned to Landing Zone 40 after sending the Crew-13 astronauts to the International Space Station, and another Falcon 9 launched the Transporter-18 rideshare with 130 payloads from Vandenberg Space Force Base in California. Spaceflight Now reported it was the first time SpaceX has landed four boosters in a single day, wrapping up the triple header Teslarati previewed on Wednesday.

Advertisement
-

The mission also brought Landing Zone 1 back for what may be its final landing. SpaceX first landed an orbital class booster there in December 2015, but its lease on the former Launch Complex 13 site ended in 2025 as the company moved Florida landings to new pads at its own launch complexes. With LZ-40 already holding the Crew-13 booster, SpaceX brought LZ-1 back into service for one more night. Launch tracker Next Spaceflight listed NROL-97 as the final expected landing at the site.

NROL-97 adds to a fast growing stack of national security work for SpaceX. The company has flown four Space Force missions from Vandenberg since mid August, several believed to carry Starshield satellites, pushing its Pentagon contract total for 2026 past $8 billion. Elon Musk was also named this week to help lead the Pentagon’s Project Meridian study on the future of warfare.

The Florida doubleheader stood out for another reason. The Space Coast saw only one launch in all of September as SpaceX shifts more of its East Coast infrastructure toward Starship, which reached orbit for the first time on Flight 14 just three days earlier.

Advertisement
-
Continue Reading