Mr. Torvalds is truly a generous man, giving the current AI market an analysis of 10% usefulness is probably a decimal or two more than will end up panning out once the hype bubble pops.

But it’s not a “major browser.” It’s a niche fork that has valuable adjustments for power users, but would be unusable for your average non-technically inclined user. I use Librewolf myself and appreciate it, but it’s not something you can just drop on an older relative’s machine and expect to work fine. Firefox has plenty of issues out of the box with sneaking in ads and telemetry, but at the same time you still have to understand that it’s an important player in the market despite its flaws because it’s the only real mainstream competitor to an entirely Chromium-based ecosystem, and despite the issues it does have, it’s still lightyears ahead of Chrome.

You’re aware that LibreWolf is a Firefox fork, right? The quote is literally “major browser”, which obviously precludes fairly niche forks.

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.

The microtransactions are one issue among many. To be frank, putting microtransactions in a $70 USD title would still warrant negative reviews in and of itself, but the the game is also having catastrophic performance issues and crashing on PC for what seems to be the majority of players, to the point of many Youtube channels covering it that did not get press copies being all but unable to play at all.

It doesn’t matter if a game has a lot of good elements, if it has bad ones and people cite those bad elements in negative reviews it’s not review bombing, it’s consumers giving an honest review of a product.

LLM powered search is so great, if it can’t find the information you’re looking for it will just make up random bullshit for you! And all it costs is Microsoft looming over your shoulder to datamine and sell everything you ever do!

I’ve found a very simple expedient to avoid any such issues is just to not use things like ChatGPT in the first place. While they’re an interesting gadget, I have been extremely critical of the massive over-hyped pitches of how useful LLMs actually are in practice, and have regarded them with the same scrutiny and distrust as people trying to sell me expensive monkey pictures during the crypto boom. Just as I came out better of because I didn’t add NFTs to my financial assets during the crypto boom, I suspect that not integrating ChatGPT or its competitors into my workflow now will end up being a solid bet, given that the current landscape of LLM based tools is pretty much exclusively a corporate dominated minefield surrounded by countless dubious ethics points and doubts on what these tools are even ultimately good for.

My brother in Christ, building a bomb and doing terrorism is not a form of protected speech, and an overwrought search engine with a poorly attached ability to hold a conversation refusing to give you bomb making information is not censorship.

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.

“A bit misleading” is, I think, a bit of a misleading way to describe their marketing. It’s literally called Autopilot, and their marketing material has very aggressively pitched it as a ‘full self driving’ feature since the beginning, even without mentioning Musk’s own constant and ridiculous hyperbole when advertising it. It’s software that should never have been tested outside of vehicles run by company employees under controlled conditions, but Tesla chose to push it to the public as a paid feature and significantly downplay the fact that it is a poorly tested, unreliable beta, specifically to profit from the data generated by its widespread use, not to mention the price they charge for it as if it were a normal, ready to use consumer feature. Everything about their deployment of the system has been reckless, careless, and actively disdainful of their customers’ safety.

Not to defend diet coke (any kind of soda is not healthy for you, regardless), but I would generally assume that drinking 144oz (assuming 18x8oz cans/day) of any type of beverage that isn’t plain old water would tend to cause some level of serious health effects, given that’s more than your entire general recommended daily fluid intake from all sources. I feel like the general takeaway is that most food and drink is bad for you in excess, and companies constantly slapping “diet/low fat/low carb/etc.” labels on junk food products that are marginally healthier than their peers gives a false impression that you can have your cake and eat it too in terms of negative health effects from these foods/drinks.