I strongly suggest anyone doubtful of the reasoning behind these concerns or asking questions like "well why don't we just do x to solve this?" go check out Robert Miles' YouTube channel[1].
It's quite an approachable intro, often entertaining, doesn't take a long time to get through all the core videos, and very thoroughly answers all the "why not just do x" questions if you go through the whole set.
He also does a good job of introducing a lot of the terms used in the field if you then want to go look up papers and get more into the details.
One important point he makes is that when you're making a risk assessment you have to both consider the probability of something going wrong and the scope of the potential consequences. When the potential consequences are an existential threat you don't need a high probability to take them seriously.
I also happen to think that if you watch all the material he makes a compelling argument that the odds of something going wrong are fairly high unless we start approaching AI research (and particularly safety and ethical concerns) drastically differently than we are now.
Godot isn't quite as robust or mature as Unity yet, but it is open source and it has had the benefit of learning from Unity's mistakes when designing its own workflows.
I think most Unity developers find the switch incredibly easy because most of the principles and many of the idioms are the same (and Godot is also more intuitive and has better documentation imo).
Godot 4 looks like it should remove most of the last few pain points too.
I'd say Godot is the superior prototyping/game jam tool, the superior 2d game engine, superior for building UI, and you don't have to deal with any licensing bullshit. It's also like 300 mb as a base install compared to Unity's 7 gb clusterfuck of spandrels.
I'd say the only situation where I'd recommend Unity over Godot is if you already have a ton of Unity experience and want to build something quickly without learning new stuff, or if there is something critical in the asset store you can't find in Godot's (definitely less content and tutorials because of the smaller userbase)
It's quite an approachable intro, often entertaining, doesn't take a long time to get through all the core videos, and very thoroughly answers all the "why not just do x" questions if you go through the whole set.
He also does a good job of introducing a lot of the terms used in the field if you then want to go look up papers and get more into the details.
One important point he makes is that when you're making a risk assessment you have to both consider the probability of something going wrong and the scope of the potential consequences. When the potential consequences are an existential threat you don't need a high probability to take them seriously.
I also happen to think that if you watch all the material he makes a compelling argument that the odds of something going wrong are fairly high unless we start approaching AI research (and particularly safety and ethical concerns) drastically differently than we are now.
[1] https://m.youtube.com/watch?v=pYXy-A4siMw