Core services teams had backup communication systems in place prior to that though. IIRC it was a private IRC on separate infra specifically for that type of scenario.
Creality software is awful, you get no firmware updates for a year and then you get 4 on same day, like do they even test before release? Slicer is also buggy and default settings seem to be max everything, so its loud and fast and has print quality issues.
When I was building the prusa kit, I kept thinking that this is how you should make a product, the machine feels well thought out and documentation is great. Of course prusa is 3x the cost of ender.
My bambu was FAR cheaper than a comparable prusa, and I took it out of the box, put filament in it, and it started producing effectively perfect prints immediately.
Wikipedia is a product of the free internet. It is a product of a world that many politicians still don't understand. But those politicians still make laws that do not make sense, because they believe that something has to be done against those information crimes. And they also do it to score brownie points with their conservative voting base.
The internet has it's problems, no doubt about that. But what these laws do is to throw the baby out with the bath water. Actually, the water probably stays in, because it's not like those laws solve anything.
Many of us think that they understand a free internet very well, specifically the threats it places on their uses (and abuses) of power, and that the laws are quite well designed to curtail that. The UK currently, without identity verification, arrests 30 people per day for things they say online.
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Compare the hype for commercial SaaS models to say Deepseek. I think there is an insane amount of astroturfing.
Formulaic, unspecific in results while making extraordinary claims, and always of a specific upbeat tenor.
1) we need to do various forms of regulation to entrench US closed source market leaders, which happens to increase his company’s value
2) the best way towards improvement in models is not efficiency but continuing to burn ever increasing piles of money, which happens to increase his company’s value
Your example actually makes his point almost exactly. The 7 day thru hike is akin to when hiring a data engineering team and investing super heavily makes sense, the day hike is when you’re chatting with users and figuring out the domain. The “wrong” tools are less consequential at the start and when the stakes are lower.