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

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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.

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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.

Watch OpenAI Five dominate Team Human in the video below.

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

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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.

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Tesla reveals huge Cybercab detail in new guide for First Responders

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Credit: Tesla

Tesla revealed a major new Cybercab detail in a guide it released for First Responders, showing new territory in its beliefs and intentions for the ride-hailing-focused vehicle that entered production in April.

The First Responders Guide is released to give fire departments, paramedics, and other emergency personnel the proper guidance on what to do in the event of an accident, entrapment, or other situation that would require immediate attention.

On one of the pages of the First Responders Guide, Tesla revealed a stark detail about the Cybercab, which could help personnel enter the vehicle more easily in case of an emergency.

Tesla Cybercab has one important piece that AI4 cars might need for FSD

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It shows Tesla has no intention of releasing any Cybercab units that were initially proposed for ride-hailing services for the general public with any manual controls, meaning a steering wheel or pedals:

“A Cybercab equipped with steering wheel, brake pedal, and an acceleration pedal is typically an engineering or test vehicle, and operates at SAE Level 2 autonomy. Cybercab is not typically equipped with a steering wheel or acceleration and brake pedals.”

This is a major development for those who continue to believe Tesla planned to release the Cybercab with any sort of manual controls so that passengers could take over if needed. However, when Tesla started manufacturing production versions of the Cybercab in Giga Texas earlier this year, they were spotted without a steering wheel or pedals.

It essentially confirms the company has no intentions of bringing manual controls to the car’s production versions. Some have argued that the likelihood of Tesla having something

There still are some Cybercab units out there with a steering wheel and pedals, and as Tesla said, these cars are engineering or test vehicles, which have Safety Monitors on board to help the car out of a precarious situation or emergency.

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Tesla Full Self-Driving v14 ‘Lite’ Release Notes: new capabilities and features

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(Credit: Megan Gale/Twitter)

Tesla released the Full Self-Driving v14 ‘Lite’ suite to owners of Hardware 3 or AI3 vehicles today, adding several new features to the vehicles that were once believed to be capable of unsupervised self-driving.

Now, Tesla has released this modified suite to older Tesla vehicles, adding plenty of new features and capabilities.

Here are the full release notes for the suite:

  • Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
  • Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
  • Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
  • Introduced parking, unparking, and reversing capabilities.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, or at the Curbside.
  • Speed Profiles are now available at all times, to further customize driving style preference.

These improvements, according to Tesla’s Head of AI, Ashok Elluswamy, help distill the driving behavior from AI4’s v14 series into both the camera and compute configurations of AI3.

Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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He added:

“It includes destination options and speed profiles on city roads, but more importantly significantly improved safety. We hope you’ll enjoy it, once the build ships wide.”

Tesla will continue to roll out the v14 Lite suite more widely in the coming weeks, the company said.

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Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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tesla model 3 model y
Credit: Tesla Inc.

Tesla has finally released its Full Self-Driving v14 ‘Lite’ suite for older cars that equip the Hardware 3 or AI 3 chip, which have not been able to handle the newest versions of the company’s driver assistance software.

Tesla officially started releasing the v14 Lite suite to owners in the Early Access Program last night. The company’s Head of AI, Ashok Elluswamy, said that the rollout will continue over the next few weeks. The build distills the driving behavior from AI4’s v14 series into both the camera and compute configurations of an AI3 car.

It also includes a variety of new features that were available to AI4 cars running v14, including:

  • Start Self-Driving from Park
  • Arrival and Parking Options
  • Speed Profiles

The release is highly anticipated because those owners with AI3 vehicles were early adopters into the FSD platform and were promised that their cars would be capable of achieving Full Self-Driving.

However, Tesla CEO Elon Musk admitted during the company’s recent Q1 Earnings Call that these vehicles would not be capable of achieving unsupervised Full Self-Driving, which is what Tesla had originally said.

Owners were not pleased with this answer, or the idea that their commitment to buying the suite outright for thousands of dollars would not yield the ability to drive without operating the car. Tesla gave some solutions for this, including a discount on a new car, or an upgrade to an AI4 or AI5 self-driving computer and new, upgraded cameras.

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Tesla owners do not seem pleased with these options, as they require giving the company more money.

Nevertheless, it is important to note that Tesla came through for owners here by releasing v14 Lite before the end of Q2, something it had promised owners during the previous Earnings Call. Tesla has had trouble keeping up with timelines, but this is a big achievement for the team.

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