HackerTubewatch
Surprise me
Frame from Automaton 2000 Micro - Dodging Siege Tanks Plays via YouTube's privacy-enhanced embed

Automaton 2000 Micro - Dodging Siege Tanks

Automaton2000Micro
Demos
YouTube
Cited on HN 20 times, 2016–2026, never outright recommended score 0
Years with an HN recommendation, 2007–2026

Cited in StarCraft and AI threads as a vivid example of superhuman micro and of machine speed advantage over humans.

A StarCraft 2 custom-map demo where a bot controls 100 zerglings against 20 sieged tanks and dodges the splash damage, leaving 19 survivors. The code was written in Blizzard's World Editor.

“Zerglings vs Siege Tanks when controlled by AI with perfect micro.” (HN, 2017)

19 citations · 1 critical · Demos

20 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@Monory Mar 2016 Cites it
on HN thread DeepMind Challenges for StarCraft
Well, anyone who says that advantage in micromanagement is not a big thing should see "Automaton 2000" videos. Given that automaton is a map script and thus can have virtually unlimited APM, it beats people from a horribly disadvantageous positions (40 banelings vs 21 marine [1], or 100 zerglings vs 20 sieged tanks [2]). [1]: [link] [2]: [this video]
Bot with unlimited APM dodges siege tank fire.
@danielvf Sep 2016 Cites it
on HN thread Deep Reinforcement Learning to Play StarCraft
And as cool as that is, this is even more terrifying, as a hundred zergslings dodge seige tank cannons and destroy them. [this video] It's enough to make you scared for the future of humanity.
Zerglings dodging siege tanks via AI micro.
@nickpsecurity Nov 2016 Cites it
on HN thread Show HN: DeepRhyme (D-Prime) – Generating dope rhymes with machine learning
Read more
It's possible but it's a lot more context-driven than you think with a human involved. The bots do great against each other with their strategies and muscle-memory stuff. Throw a human in the mix, they start noticing patterns in how the units are managed, what strategies are likely, etc. They've exploited these in the competitions to hilarious effect. Here's the main site on prior work & results at the competitions: [link] Here's a few examples of how the muscle-memory approach, esp if focused on unit vs unit, can fail against humans. " In this example, Bakuryu (human) notices that Skynet's units will chase his zerglings if they are near, and proceeds to run around Skynet's base to distract Skynet long enough so that Bakuryu can make fying units to come attack Skynet's base. This type of behaviour is incredibly hard to detect in a bot, since it requires knowledge of the larger context of the game which may only have consequences 5 or more minutes in the future. " (2013) Note: At this point, they also sucked at building and expansion strategies which surprised me since I thought a basic planner would be able to do that. The constraints between rate of expansion, where to place stuff, what units to keep/build, and so on get really hard. The other thing they weren't good at was switching strategies mid-game based on what opponents are doing. " despite Djem5 (pro) making the bots look silly this year... they were able to defeat D-ranked, and even some C-ranked players. After the
Context on bot weaknesses against human players.
@ktRolster Aug 2017 Cites it
on HN thread DeepMind and Blizzard Open StarCraft II as an AI Research Environment
When Watson won at Jeopardy, one of its prime advantages was the faster reaction time at pushing the buzzer. The fairness of that has already been hashed out elsewhere, but..... We already know that computers can have superior micro and beat humans at Starcraft through that(1). Is DeepMind going to win by giving themselves a micro advantage that is beyond what reasonable humans can do? (1) [this video] as one example
Example of computers winning through micro.
@bbradley406 Oct 2017 Cites it
on HN thread Facebook Quietly Enters StarCraft War for AI Bots
>The units basically just dance at maximum range, magically dodge hits, etc. While it certainly isn't fair to play against, it does have a certain elegance[1]. There's also the problem that even if it's AI vs AI, the races and units are balanced around reaction times of humans. [1] [this video]
Units dance at max range and dodge hits.
@pythonaut_16 Dec 2017 Cites it
on HN thread Google's AlphaZero Beats Stockfish In 100-Game Match
For human vs AI there will have to be APM rate limits otherwise the AI can win with no real strategy[0]. For AI vs AI it could be interesting to see what strategies develop with two opponents with the ability to perfectly microcontrol their units. [0]Zerglings vs Siege Tanks when controlled by AI with perfect micro. [this video]
Perfect micro lets AI win without strategy.
@vkou Jul 2018 Cites it
on HN thread Riot Games Approach to Anti-Cheat
Yes, they start punching way above their weight against tanks, too. Even moreso if you throw in an auto-scatter script. [this video]
Microbots punch above their weight.
@kenning Aug 2018 Cites it
on HN thread OpenAI bots competing against Humans right now
Read more
dota 2 is not as extreme about this as, say, starcraft. in starcraft, most "strategies" are heavily scripted build orders that almost never deviate from a handful of openings (similar to opening moves in chess) and a large amount of winning comes from the ability to quickly give orders to your troops ("micro"). This is an example of a strategy that is not viable without superhuman reactions: [this video] if you directly attack 20 siege tanks with 100 zerglings you will only kill about two siege tanks, but an AI can kill all the siege tanks with some zerglings left over. There's some of this in dota, but there's a cap on the skill level for most playable characters that pros generally get "close enough" to, and beyond that the strategic depth comes from area control decisionmaking. Theres over 100 heroes and many of them have really weird abilities, like the possibility of creating a temporary wall (earthshaker) or the ability to teleport anywhere on the map every 20 seconds (furion). I could be wrong though, maybe the AI is winning games by playing heroes with long range and perfectly microing them to harass and prevent the other team from ever getting gold/xp.
Strategy only viable with superhuman reactions.
@dragontamer Aug 2018 Cites it
on HN thread OpenAI’s Dota 2 defeat is still a win for artificial intelligence
Read more
Frankly, superior reaction time and other mechanical skills in Dota2 (or Starcraft, or other games which are being tested) makes me think that a typical AI would beat a human. [this video] That's the "gloves come off" AI. Granted, its a problem solved by raw, mechanical button-pushes at a rate beyond what is possible on a keyboard/mouse, but it demonstrates the greatest skills an AI or computer has. Of course, no one wants to see an AI beat a human using known methodologies. They want to see an AI win at the abstract game of "a game of strategy". From this perspective, I think the poker AI results over the past year or two have been far more interesting. AIs figuring out the Nash Equalibrium and playing bluffing games around it. Sure, its a bit mechanical and mathematically inclined, but generalizing and solving the bluffing game is IMO far more useful.
Superhuman mechanical skill of AI.
@thaniri Sep 2018 Cites it
on HN thread Tencent's AI plays StarCraft II, and wins over 90 percent of the time
For anyone who actually plays SC2, or any real time game where human speed is a limitation, it should not be surprising that AI would crush human opponents. This video demonstrates why: [this video] AI has crushed humans in Go, the most complicated (widely played) board game. I'll be impressed again by AI when it beats us in physical sport.
Demonstrates AI crushing humans in real-time games.
@knicholes Jan 2019 Cites it
on HN thread DeepMind – StarCraft II Demonstration
It makes a huge difference. In this video, 20 tanks kill 100 zerglings and lose only two tanks. With super-human micro, the results are... quite different. [this video]
Tank-vs-zergling outcome changes with super-human micro.
@pjspycha Jul 2019 Cites it
on HN thread DeepMind’s StarCraft II agent will play anonymously on battle.net
Read more
It was also really unimpressive in my opinion, instead of being smarter and making broad decisions about tactics that are harnessed by some perfect unit composition knowledge, the AI won on a purely micro scale. There are videos from several microbots such as Automaton 2000: [this video] that showcase what super APM can do. The DeepMind AI that beat some pro players did it by having better micro while generally having worse strategies. The DeepMind matches showed how better micro can turn a generally weaker unit composition into the winning unit composition just as that Automaton 2000 video did. To me it seemed that the DeepMind team figured out that the only way to beat competent players was to do what all those microbots do and pump APM into godly levels. They decided to limit APM, however like you said, just average APM and have the bots explode APM when needed. The real funny match was when MaNa beat Deepmind by completely breaking the AI with generally simple drop strategies and made Deepmind look very much inept.
Showcases what super APM can do.

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

Keyboard shortcuts

/
Search
j k
Next / previous video
r
Surprise me
l
Like (video page)
w
Watch later (video page)
?
This help
Esc
Close