I think Teslas shouldn’t speak for all EVs.

the company has demonstrated a very high tolerance for risk. In execution, but also they don’t seem to care about reputational risk. Other manufacturers with a larger business at stake, I would expect to handle recalls, safety in a different manner (one of the reasons they are lagging in the EV space)

So… EVs have significantly less fires than combustion engines

But EVs fires are more severe

Tesla is a mess.

EV chemistry is getting better and safer over time.

Combustion engines are largely at their limit.

https://firerover.com/resources/how-often-do-ev-batteries-catch-fire/#%3A~%3Atext=Here's+what+current+studies+say%2Cper+100%2C000+for+gasoline+cars

ICE vehicles have far more fires. EVs are more intense, but significantly less frequent

Got it. My understanding is tiktok is on another level but have never used it.

It would surprise me if no one was doing content rotation strategies for specific user segments. similarity is a signal so is dissimilarity.

then, there will be spots that the algorithms fall apart.

But, I see what you are saying and yeah I’ve experienced similar, and agreed, even something simple like ‘popular’ has issues when driven by a score, as it can just maximize broad emotional response.

“This made me angry”, does better than “this made me satisfied in life”

On lemmy do you mean? It doesn’t have personalized recommendation algorithms as far as I know or any content similarity algorithms. I think it’s just a simple popularity by newness algorithm.

To clarify, I meant corporate social media companies will target engagement, and they will use personalized algos (not necessarily down to a user, could be group of similar users).

So for example if a user looks at some niche wood working content for example, they may mix in popular content that drives emotional response or is entertaining if that keeps people on the platform longer.

That’s what I’m saying, it’s not about content similarity necessarily, it’s about showing whatever drives engagement / time on platform.

When you have a lot of user data, and a lot of content meta data, you can do that very well. To the point where you can trigger addictive behaviors. That’s the issue with tiktok - but also other social media companies to lesser degrees

A social media’s algorithm would optimize for engagement not content similarity.