Fair. I guess in my case I’m actually looking for boring titles because I see reducing my engagement as a whole to the platform a good thing even if it means I don’t watch some genuinely interesting / informative content. Basically I am less likely to fall into a rabbit hole of watching “just one more video” by some creator I enjoy when I should be doing something else.

I respectfully disagree. Any high quality creator is tangibly penalized by YouTube’s recommendation algorithm for not optimizing their titles and thumbnails. A rare few choose to take this penalty but I don’t blame the many quality creators who choose to take part in the game that YouTube has made for everyone.

Yes, the alternate titles may not be perfect, but I’d take any random person’s attempt at a title over the hyper optimized ones any day because I’d rather make an informed decision to watch something even if there is some degree of inaccuracy than to make a completely uninformed decision based on what an algorithm predicted would most likely get me to click and get hooked on a video irregardless of my own will and whether I am satisfied at the end of watching it.

Yeah I think it’s the fact that both are circular icons inside circular buttons of the same color in the same relative position. The reset icon itself is fine.

I installed Haiku on this Laptop from 1999 once since it was actually the only non-windows OS I could get to run for some reason. Video driver was bugged tho so the screen was visually offset by ~100 pixels which made it too hard to use. Otherwise though it ran at a bearable normal speed which is a huge feat for the something like 500MHz processor and 500MB/1GB of RAM (I forget the exact specs).

Sorry but has anyone in this thread actually tried running local LLMs on CPU? You can easily run a 7B model at varying levels of quantization (ie. 5 bit quantization) and get a generalized prompt-able LLM. Yeah, of course it’s going to take ~4GB of RAM (which is mem-mapped and paged into memory), but you can easily fine tune smaller more specific models (like the translation one mentioned above) and have surprising intelligence at a fraction of the resources.

Take, for example, phi-2 which performs as well as 13B param models but with 2.7B params. Yeah, that’s still going to take 1.5GB RAM which Firefox wouldn’t reasonably ship, but many lighter weight specialized tasks could easily use something like a fine tuned 0.3B model with quantization.

Yeah, but that doesn’t prevent the author from selling their extension to an untrusted buyer like in the case of Nano Adblocker.

While Linus went overboard (as he has a history of doing, and as has also caused negativity to the community), this post is still very well liked because it appears to be a strong example of someone calling out the BS that a lot of developers like to throw around. No one’s going to join in a circle celebrating Linus picking on some first time contributor who didn’t know any better, but that’s how it sounds like you’re interpreting the post.

To add some context, there’s a toxic superiority complex that many developers have where they jump to blame others for issues that actually relate to their code. You can see this anywhere from developers who immediately blame users without investigating to software developers within companies who are quick to pass off issues as not their team’s problem.

So, in this example Linus is actually calling one of these developers out, which is why the post is very well-received.