News
Elon Musk’s OpenAI to battle in Dota 2 World Championship video game tournament
OpenAI, a research lab co-founded by Elon Musk, has developed a new breed of AI agents that are capable of playing Dota 2, a complex strategy game, in 5-on-5 multiplayer matches. OpenAI’s new bots have so far been able to beat amateur and semi-professional teams. With this accomplished, the research lab is now looking to bring its bots to The International, a prolific Dota 2 tournament, this coming August.
The new bots go by the name of OpenAI Five, a reference to the number of neural networks working together in the team. To train the neural networks, the AI has been playing roughly 180 years worth of gameplay every day using reinforcement learning. This enables the AI to learn the intricacies of the game, considering that it is far more complicated than board games like Chess and Go. Dota 2, for example, involves hiding data from players, preventing the system from perceiving the entire playing field at a given time.
The hardware employed by the research lab to train OpenAI Five is impressive. The five neural networks train through a scaled-up version of Proximal Policy Optimization running on 256 GPUs and 128,000 CPU cores. The same setup was adopted in a much smaller scale last year when OpenAI rolled out an artificial intelligence system that proved capable of beating the best Dota 2 players in the world in 1-on-1 matches.
Currently, however, OpenAI Five can only play the game with several restrictions. For one, the AI system can only use five of the 115 heroes available in the game. Skills such as Invisibility, Summons, and the placement of wards are also disabled. The research lab, however, hopes that through time, the neural networks would be able to play the game without any restrictions at all.
As could be seen in a recent video shared by the research lab, OpenAI Five is actually being received well by the Dota 2 community. Professional Dota 2 player Blitz, for one, noted that the bots are adopting strategies that are incredibly effective. In a match against OpenAI Five, Blitz, together with four employees of the research lab, put up a fight before getting dominated by the articificial intelligence. In a statement after the game, Blitz sheepishly stated that the bots capitalized on every small error he made during the match.
“I think the team fight aspect of the bot(s) was excellent. It didn’t mess up. When it came to coordination, it was some of the best pure team fighting because it felt like I was getting hammered every single time I made a mistake. I feel like normal humans don’t do that,” the professional Dota 2 player said.
So what’s the secret behind OpenAI Five? In a statement to The Verge, OpenAI CTO Greg Brockman noted that unlike human players, the bots have “no ego” when they play the game. The teamwork aspect of the bots was also trained by allowing them to work individually at first, then encouraging them to work together.
“The bots are totally willing to sacrifice a lane or abandon a hero for the greater good. For fun, we had a human drop in to replace one of the bots. We hadn’t trained them to do anything special, but he said he just felt so well-supported. Anything he wanted, the bots got him,” Brockman said.
Ultimately, Brockman is encouraged by OpenAI Five’s development so far. The research, after all, is motivated by the idea that if AI systems can be trained to perform complex tasks such as learning a game as intricate as Dota 2, it could eventually be used to solve equally complex real-world challenges. Some examples of real-world applications could be designing and managing a city’s transport structure, or the logistics of a massive business.
“This an exciting milestone, and it’s really because it’s about transitioning to real-life applications. If you’ve got a simulation of a problem and you can run it large enough scale, there’s no barrier to what you can do with this,” he said.
News
Tesla takes a step towards removal of Robotaxi service’s safety drivers
Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers.
Tesla appears to be preparing for the eventual removal of its Robotaxi service’s safety drivers.
This was hinted at in a recent de-compile of the Robotaxi App’s version 25.11.5, which was shared on social media platform X.
In-cabin analytics
As per Tesla software tracker @Tesla_App_iOS, the latest update to the Robotaxi app featured several improvements. These include Live Screen Sharing, as well as a feature that would allow Tesla to access video and audio inside the vehicle.
According to the software tracker, a new prompt has been added to the Robotaxi App that requests user consent for enhanced in-cabin data sharing, which comprise Cabin Camera Analytics and Sound Detection Analytics. Once accepted, Tesla would be able to retrieve video and audio data from the Robotaxi’s cabin.
Video and audio sharing
A screenshot posted by the software tracker on X showed that Cabin Camera Analytics is used to improve the intelligence of features like request support. Tesla has not explained exactly how the feature will be implemented, though this might mean that the in-cabin camera may be used to view and analyze the status of passengers when remote agents are contacted.
Sound Detection Analytics is expected to be used to improve the intelligence of features like siren recognition. This suggests that Robotaxis will always be actively listening for emergency vehicle sirens to improve how the system responds to them. Tesla, however, also maintained that data collected by Robotaxis will be anonymous. In-cabin data will not be linked to users unless they are needed for a safety event or a support request.
Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers. With Tesla able to access video and audio feeds from Robotaxis, after all, users can get assistance even if they are alone in the driverless vehicle.
Investor's Corner
Mizuho keeps Tesla (TSLA) “Outperform” rating but lowers price target
As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected.
Mizuho analyst Vijay Rakesh lowered Tesla’s (NASDAQ:TSLA) price target to $475 from $485, citing potential 2026 EV subsidy cuts in the U.S. and China that could pressure deliveries. The firm maintained its Outperform rating for the electric vehicle maker, however.
As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected. The U.S. accounted for roughly 37% of Tesla’s third-quarter 2025 sales, while China represented about 34%, making both markets highly sensitive to policy shifts. Potential 50% cuts to Chinese subsidies and reduced U.S. incentives affected the firm’s outlook.
With those pressures factored in, the firm now expects Tesla to deliver 1.75 million vehicles in 2026 and 2 million in 2027, slightly below consensus estimates of 1.82 million and 2.15 million, respectively. The analyst was cautiously optimistic, as near-term pressure from subsidies is there, but the company’s long-term tech roadmap remains very compelling.
Despite the revised target, Mizuho remained optimistic on Tesla’s long-term technology roadmap. The firm highlighted three major growth drivers into 2027: the broader adoption of Full Self-Driving V14, the expansion of Tesla’s Robotaxi service, and the commercialization of Optimus, the company’s humanoid robot.
“We are lowering TSLA Ests/PT to $475 with Potential BEV headwinds in 2026E. We believe into 2026E, US (~37% of TSLA 3Q25 sales) EV subsidy cuts and China (34% of TSLA 3Q25 sales) potential 50% EV subsidy cuts could be a headwind to EV deliveries.
“We are now estimating TSLA deliveries for 2026/27E at 1.75M/2.00M (slightly below cons. 1.82M/2.15M). We see some LT drivers with FSD v14 adoption for autonomous, robotaxi launches, and humanoid robots into 2027 driving strength,” the analyst noted.
News
Tesla’s Elon Musk posts updated Robotaxi fleet ramp for Austin, TX
Musk posted his update on social media platform X.
Elon Musk says Tesla will “roughly double” its supervised Robotaxi fleet in Austin next month as riders report long wait times and limited availability across the pilot program in the Texas city. Musk posted his update on social media platform X.
The move comes as Waymo accelerates its U.S. expansion with its fully driverless freeway service, intensifying competition in autonomous mobility.
Tesla to increase Austin Robotaxi fleet size
Tesla’s Robotaxi service in Austin continues to operate under supervised conditions, requiring a safety monitor in the front seat even as the company seeks regulatory approval to begin testing without human oversight. The current fleet is estimated at about 30 vehicles, StockTwists noted, and Musk’s commitment to doubling that figure follows widespread rider complaints about limited access and “High Service Demand” notifications.
Influencers and early users of the Robotaxi service have observed repeated failures to secure a ride during peak times, highlighting a supply bottleneck in one of Tesla’s most visible autonomy pilots. The expansion aims to provide more consistent availability as the company scales and gathers more real-world driving data, an advantage analysts often cite as a differentiator versus rivals.
Broader rollout plans
Tesla’s Robotaxi service has so far only been rolled out to Austin and the Bay Area, though reports have indicated that the electric vehicle maker is putting in a lot of effort to expand the service to other cities across the United States. Waymo, the Robotaxi service’s biggest competitor, has ramped its service to areas like the San Francisco Bay Area, Los Angeles, and Phoenix.
Analysts continue to highlight Tesla’s long-term autonomy potential due to its global fleet size, vertically integrated design, and immense real-world data. ARK Invest has maintained that Tesla Robotaxis could represent up to 90% of the company’s enterprise value by 2029. BTIG analysts, on the other hand, added that upcoming Full Self-Driving upgrades will enhance reasoning, particularly parking decisions, while Tesla pushes toward expansions in Austin, the Bay Area, and potentially 8 to 10 metro regions by the end of 2025.
Tesla takes a step towards removal of Robotaxi service’s safety drivers
Mizuho keeps Tesla (TSLA) “Outperform” rating but lowers price target
