While it’s true that EVs can be built with fewer moving parts in the drive system itself, and that companies could absolutely produce longer lasting vehicles if they focused on longevity, there are still a lot of parts of a vehicle that simply will not last beyond a certain point. The moving parts of an EV still cover everything in the suspension, wheels/brakes/steering, and a number of other components that are very costly to replace, not to mention the underlying frame/unibody of the vehicle itself being vulnerable to wear over time depending on the conditions it’s driven in. “The few moving parts that wear out” still covers a huge swath of a vehicle, even if you take the engine and transmission out of the equation.

Well-built EVs with a focus on longevity and repairability could extend the lifespan of the average people mover by a great deal, but at the end of the day cars will by nature eventually reach a point where the cost to repair some major core component becomes too great to justify, outside of rare or collectable cases.

This is something I think a lot of people don’t get about all the current ML hype. Even if you disregard all the other huge ethics issues surrounding sourcing training data, what does anybody think is going to happen if you take the modern web, a huge sea of extremist social media posts, SEO optimized scams and malware, and just general data toxic waste, and then train a model on it without rigorously pushing it away from being deranged? There’s a reason all the current AI chatbots have had countless hours of human moderation adjustment to make them remotely acceptable to deploy publicly, and even then there are plenty of infamous examples of them running off the rails and saying deranged things.

Talking about an “uncensored” LLM basically just comes down to saying you’d like the unfiltered experience of a robot that will casually regurgitate all the worst parts of the internet at you, so unless you’re actively trying to produce a model to do illegal or unethical things I don’t quite see the point of contention or what “censorship” could actually mean in this context.

Even if Edge was marginally better than Chrome (it’s not), allowing monopolistic practices simply for the sake of slightly evening out a corporate race to the bottom is not a good standard. The actual solution is a browser like Firefox that actually has some remote respect and business interest in user privacy, and to aggressively litigate both Microsoft and Google for the use of their dominant service platforms to cross-promote their other products to captive audiences.

The unintended part was people noticing and it making it into the news cycle, everything else was very clearly exhaustively planned and intended.

Getting out of the Google frying pan and into the Microsoft fire is in no way better. Both options are exploitative anti-user monopolies, and both Chrome and Edge are the same browser engine under different corporate skins that aggressively violate your privacy in numerous ways for their own gain.

The fact that Microsoft’s constantly more aggressive use of their OS platform to artificially push their search and cloud platforms hasn’t triggered multiple huge antitrust cases is a pretty dire indicator of how little regulators are willing or able to safeguard the public from monopolistic behavior by large tech companies.

They are not being “honest”, they are representing flawed and problematic data patterns integrated into their models, because the capabilities they actually posses are dramatically less than companies and the general public seem to be happy to assume. LLMs aren’t magically going to become pop culture evil robots that want to kill us all, but what they have already become is tools for unethical corporate exploitation and the enablement of more advanced scams and disinformation campaigns.