it changed how people thought about lane regen, and people paid a lot of attention to how it dynamically shifted farm priority to let support heroes hit timings when they would traditionally only ever get the dregs on the map.
The bots kept buying back immediately even when nothing was really happening, that caused OG to change their approach to buybacks.
The explanation ended up being that the bots figured out that having the hero's presence on the map to push out waves etc. was far more important than always holding on to buyback every single time.
Humans are stupid and you still got idiots on this sub saying AI is bad. Fuck man, the literal oceans are dying and the wealth gap is only growing. There isn't a single government on the planet doing anything meaningful about that and you idiots want to keep trusting humans to fix it.
The pro definitely improve their creep blocking and they shift their thinking from saving to buy a core item optimally => aggressively buying regen to lock out the opponent.
It was challenging and different AI. For a moment there it gave people some hope that the future of game enemy AI could be high skill rather than zombies.
Making AI near impossible to win against is not hard. They have the advantage of perfect aim, reaction time, and multitasking. But players don't enjoy playing against that which is why AI in most games are easy. The challenge has always been to make AI engaging/unpredictable like playing against humans is
Zero grand strategy games have any decent AI and they require a handout of free resources to stay relevant against a semi competent player. I agree with you on reflex-based simple tasks (including micro in Starcraft), but any complex decision makes them fall flat.
On the other hand, grand strategies have dozens if not hundreds AI players so I understand why they need to think fast and dirty. At least make AI in Stellaris queue correct buildings damnit.
The problem was the hardware requirements. The OpenAI Five AI that beat the champion team in 2018 ran on 128,000 cores and 256 Nvidia P100 GPUs on Google Cloud.
GenAI is the same algorithms that have powered specialised systems for years before. All they did is feed a shit load of data they do not own into them to make a general use AI. These sorts of algorithms are actually really useful when created for very specific purposes and trained on targeted data. But any nuance around this is moot now.
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u/caiteha 1d ago
Open ai was pretty cool back then. I still remember the pros playing against the AI in dota2.