Everyone says support but great support requires culture of excellence and customer obsession and that were the first things to go when those zirp-era scaleups went on hiring sprees
I know a few who are really feeling the pressure from customers now being able to vibe code part or their product and also their cloud bill is about to explode because hardware prices are through the roof
The context is AI made some knowledge work less cushy so now some folks are trying to point out random imaginary flaws (e.g TP or "water usage") when they're not busy trying to convince everyone AI doesn't work.
If it's http2 then Go's stdlib is pretty unoptimized to say the least. Huffman decoder is really cache unfriendly (pointer chasing) and I think allocation heavy too. Same probably goes for http1 and http3.
I dont think this comparison really works. Firefighter would be goalie or a defender and like you said in sports they are less appreciated/compensated for a simple reason - usually they don’t bring in views. There are exceptions ofc like Pippen or Seaman
They're basically not building anything, and what they are building will be borderline unusable because of the route they chose so the car will be faster, cleaner and more convenient. If you want fast you can take the plane. So unless the problem is "how do we siphon as much tax dollars as possible banana republic-style?" I really can't agree here.
I think you've missed the point - that wasn't the reason at all. In a way he was right too - we'll have fully autonomous buses and private vehicles capable of making the full trip down the I-5 long before they complete even the middle of nowhere section they currently have planned.
Pinning CAHSR jobs program as hyperloop's fault is pretty funny. Maybe he did intend to upset it but since both turned out to be massive boondoggles doesn't seem like it worked - they managed to delay it themselves just fine.
Like with any tech there are dumb ways of using it and there are smart ways. Treating it as a "slot machine giving you the right answer" is a dumb way - it may work for a bit, but it won't carry you very far because everyone else can also do this. No one is stopping anybody from digging deeper into problems than ever before using this technology - that's the smart way.
> Because you somehow need a giant training set which describes images in natural language, no?
That's definitely one way - they train a text encoder together with an image encoder on a labelled set of images. WL & 3b1b made a nice video on it: https://www.youtube.com/watch?v=iv-5mZ_9CPY