It depends on what type of fascism you mean. Like communism, it has gone through many iterations and definitions. Mussolini's original fascism was basically socialism without the global mindset (national socialism, if you will). It was all about national struggle and by that I mean nation, not people. Mussolini actually denounced Hitler's racial views and policies in the beginning. Hitler injected German imperialism into his view of fascism. Which is funny, since imperialism is the antithesis of nationalism, yet many nationalists idealize Hitler.
Then you have Franco's "fascism", which was primarily geared towards protecting the Spanish way of life against communism.
Fascism was also very much a reactive ideology, born mostly as a counter for communism. Which would explain the emphasis on geopolitical national struggle. In this respect, calling fascism evil is silly, since most actors on the geopolitical stage were/are evil.
No, it's enough for me to explain how it does not work.
Machine learning algorithms are just math. We train these models by feeding the algorithms a shit ton of example data and then backpropagate and whatever. The result is a bunch of weights, or numbers. So for someone to argue that LLMs are sentient is essentially the same as arguing that solving for x creates sentience.