Former League pro Eugene \u201cPobelter\u201d Park expressed enthusiasm, offering to help Musk\u2019s team and noting the unique comparison to past AI-versus-human breakthroughs, such as OpenAI\u2019s Dota 2 bots. AI researcher Oriol Vinyals, who previously reached Grandmaster rank in StarCraft, suggested testing Grok in RTS gameplay as well.\u00a0<\/p>\n
Musk welcomed the idea, even responding positively to Vinyals\u2019 comment that it would be nice to see Optimus operate the mouse and keyboard.<\/p>\n
Advertisement Let\u2019s see if @Grok<\/a> 5 can beat the best human team @LeagueOfLegends<\/a> in 2026 with these important constraints:<\/p>\n 1. Can only look at the monitor with a camera, seeing no more than what a person with 20\/20 vision would see. <\/p>\n 2. Reaction latency and click rate no faster than human.\u2026\u2014 Elon Musk (@elonmusk) November 25, 2025<\/a><\/p>\n would love to help and offer insight as a former league pro, I thought AI vs dota2 was really interesting and always wanted to see it vs League @xAI<\/a>\u2014 Eugene Park (@Pobelter) November 25, 2025<\/a><\/p>\n Pros debate Grok\u2019s chances, T1 and Riot show interest<\/p>\n Reactions weren\u2019t universally optimistic. Former professional mid-laner Joedat \u201cVoyboy\u201d Esfahani argued that even with Grok\u2019s rapid learning capabilities, League of Legends requires deep synergy, game-state interpretation, and team coordination that may be difficult for AI to master at top competitive levels. Yiliang \u201cDoublelift\u201d Peng was similarly skeptical, publicly stating he doubted Grok could beat T1, or even himself, and jokingly promised to shave his head if Grok managed to win.<\/p>\n T1, however, embraced the proposal, responding with a GIF of Faker and the message \u201cWe are ready,\u201d signaling their willingness to participate. Riot Games itself also reacted, with co-founder Marc Merrill replying to Musk with \u201clet\u2019s discuss.\u201d Needless to say, it appears that Riot Games in onboard with the idea.<\/p>\n Though no match has been confirmed, interest from players, teams, and Riot suggests the concept could materialize into a landmark AI-versus-human matchup, potentially becoming one of the most viewed League of Legends events in history. The fact that Grok 5<\/a> will be constrained to human limits would definitely add an interesting dimension to the matchup, as it could truly demonstrate how human-like the large language model could be like in real-time scenarios.<\/p>\n Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux.\u00a0<\/p>\n As per Tesla China in a post on its official Weibo account, the company\u2019s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.<\/p>\n Tesla China\u2019s subtle, but huge announcement<\/p>\n In its Weibo post, Tesla China announced that the company\u2019s Autopilot system has accumulated 10 billion kilometers of\u00a0driving experience<\/a>. \u201cIn this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world\u2019s most experienced and seasoned driver.\u201d\u00a0<\/p>\n Advertisement Tesla AI\u2019s handle on Weibo also highlighted a key advantage of the company\u2019s self-driving system. \u201cIt will never drive under the influence of alcohol, be distracted, or be fatigued,\u201d the team wrote. \u201cWe believe that advancements in Autopilot technology will save more lives.\u201d<\/p>\n Tesla China did not clarify exactly what it meant by \u201cAutopilot\u201d in its Weibo post, though the company\u2019s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.<\/p>\n Advertisement<\/p>\n \u2013><\/p>\n Elon Musk\u2019s 10-billion-km estimate, way back in 2016<\/p>\n When Elon Musk published\u00a0Master Plan Part Deux<\/a>, he outlined his vision for the company\u2019s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time.\u00a0<\/p>\n \u201cEven once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,\u201d Musk wrote.\u00a0<\/p>\n Advertisement It\u2019s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure\u00a0FSD approval in Europe<\/a>\u00a0sometime next year as well.\u00a0<\/p>\n
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Credit: Tesla China\/Weibo<\/p>\n
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