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>much of the feedback (here and elsewhere) is about the fundamental challenge of assessing human vs. machine in an RTS It's amazing that most people here don't

>much of the feedback (here and elsewhere) is about the fundamental challenge of assessing human vs. machine in an RTS It's amazing that most people here don't understand that AI performance in any one computer game relative to humans is largely irrelevant. A system that can play many games at a mediocre level, but does it without any hand-holding, clever APIs or architecture adaptation is infinitely more impressive than a system that can beat everyone in a specific game with all those things applied. Remember, most humans are completely mediocre at Chess, Go or StarCraft.

emerongi 7y ago
Most of the approaches used are re-usable, which is a big part of why we can develop new AIs for games faster than ever. You can take the algorithm(s) that was used in one game and use it in another. Yes, a human is still needed to decide which approach to use, but we are slowly approaching a world where building an AI becomes easier and faster. It will become absolutely irrelevant that a single AI can not play all games, because whenever a new game comes out, someone will be able to build a superhuman AI on it within a week/month. The brains of an AI are also transferrable. Built a superhuman AI? Send it to a friend! Compare it to a human, who would need to spend enormous amounts of time to transfer their game-brain to someone else. If you want, you can bundle all those AIs into one and pretend it can play any game. "It's amazing that most people here don't understand that human performance in all computer games relative to AIs is largely irrelevant"
- YeGoblynQueenne 7y ago
  >> The brains of an AI are also transferrable. Built a superhuman AI? Send it to a friend! So far I haven't seen Google sending their AIs to a friend.
  - eru 7y ago
    They are putting ML inference on the Pixel phones.
  - simonh 7y ago
    With transfer learning, you can download some of the worlds most advanced pre-trained NLP models and adapt them to a specific data set. https://www.analyticsvidhya.com/blog/2019/03/pretrained-models-get-started-nlp/ https://www.analyticsvidhya.com/blog/2019/03/pretrained-mode...
  - 0x008 7y ago
    What do you mean? Basically all Neural-network models (from Google and others) are freely available. And to top that you can also get pre-trained weights for the models for free. https://www.tensorflow.org/hub/ https://www.tensorflow.org/hub/ https://github.com/tensorflow/models https://github.com/tensorflow/models
    - YeGoblynQueenne 7y ago
      I mean the Alpha* family- AlphaGo, AlphaStar etc. I don't think they're sharing their analytics models either, or their DMT models, etc. "All" neural network models is a stretch. Some researchers, including some that work in the industry, do releast their models. The majority don't.

emerongi 7y ago

Most of the approaches used are re-usable, which is a big part of why we can develop new AIs for games faster than ever. You can take the algorithm(s) that was used in one game and use it in another. Yes, a human is still needed to decide which approach to use, but we are slowly approaching a world where building an AI becomes easier and faster. It will become absolutely irrelevant that a single AI can not play all games, because whenever a new game comes out, someone will be able to build a superhuman AI on it within a week/month. The brains of an AI are also transferrable. Built a superhuman AI? Send it to a friend! Compare it to a human, who would need to spend enormous amounts of time to transfer their game-brain to someone else. If you want, you can bundle all those AIs into one and pretend it can play any game. "It's amazing that most people here don't understand that human performance in all computer games relative to AIs is largely irrelevant"

YeGoblynQueenne 7y ago
>> The brains of an AI are also transferrable. Built a superhuman AI? Send it to a friend! So far I haven't seen Google sending their AIs to a friend.
- eru 7y ago
  They are putting ML inference on the Pixel phones.
- simonh 7y ago
  With transfer learning, you can download some of the worlds most advanced pre-trained NLP models and adapt them to a specific data set. https://www.analyticsvidhya.com/blog/2019/03/pretrained-models-get-started-nlp/ https://www.analyticsvidhya.com/blog/2019/03/pretrained-mode...
- 0x008 7y ago
  What do you mean? Basically all Neural-network models (from Google and others) are freely available. And to top that you can also get pre-trained weights for the models for free. https://www.tensorflow.org/hub/ https://www.tensorflow.org/hub/ https://github.com/tensorflow/models https://github.com/tensorflow/models
  - YeGoblynQueenne 7y ago
    I mean the Alpha* family- AlphaGo, AlphaStar etc. I don't think they're sharing their analytics models either, or their DMT models, etc. "All" neural network models is a stretch. Some researchers, including some that work in the industry, do releast their models. The majority don't.