It’s not quite that simple. Crowdsourcing has many of the drawbacks that AI has too.

While it can have a higher reliability in detecting nonsensical inputs or inputs that it’s simply unfit in processing, that comes at an intrinsic cost in scalability. Some tasks can’t be effectively crowdsourced for, either because of volume or urgency.

Machine Learning systems learn to approximate decision making and thus can attempt at learning from crowdsourcing efforts. It is notable though that depending on the use case, model and training method, machine learning algorithms can potentially be better than the data it was trained on. Or much worse, it’s very fickle.

It is definitely still the case that crowdsourcing is a really important tool and oftentimes machine learning relies on it’s efforts. And it naturally can solve tasks that we don’t have a viable automated approach for.

So that vision impaired people or people with whatever other impairment can enjoy the content. The text can be read out by a screen reader.

The point being made though was that the languages are well shown to be genuinely related through a common ancestral language from which they both deviated, just as have most languages in Europe and parts of the Near East. The connection is tangible and quite real, not something just based on some few similarities.

My first leveled Tank was Gunbreaker, my first leveled DPS was Mechanist and I am myself now working on Sage to fill out my “shoot guns at it to solve your problem” Trifecta.

You’re thinking of the right game. You had a pet that was pretty much a massive bipedal animal monster that you could train. Depending on what you do with them, when you reward them with food and petting and when you punish them by slapping them, they’d change their behaviour. You could teach them to either farm food off of fields or eat villagers when they were hungry, whatever you wanted. It was a really fun feature, at least for six year old me.