dilyevsky

8 ms·

61.
by dilyevsky 3mo ago
Which effort setting did you run this with?
62.
by dilyevsky 3mo ago
A year isnt very long considering sums involved here. At a certain hyperscaler a full dc build out took 2-3 years but we heard that aws did that in a year all in. And also musk proved you can do it literally over holiday break but you don’t
63.
by dilyevsky 3mo ago
Like 90%+ cost of a dc is actual computers which are pretty shippable
64.
Show HN: CLRK, an open-source agent runtime with gVisor and MitM guardrails(github.com)
5 points by dilyevsky 3mo ago|0 comments
65.
by dilyevsky 3mo ago
Why cant anthropic just sign up to those resellers, rack up some usage and then just start banning tf out of them? Reverse uno
66.
by dilyevsky 3mo ago
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
67.
by dilyevsky 4mo ago
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
68.
by dilyevsky 4mo ago
Pretty sure Carmack's idea of slack is what many companies would call "working as hard as possible"
69.
by dilyevsky 4mo ago
Seems like this is a problem almost entirely solved by llm+vector database setup.
70.
by dilyevsky 4mo ago
Don't get me wrong - AVP, Airpods, M-series chips are all amazing. Nothing as revolutionary as the first iphone, ipod, or an Apple II
71.
by dilyevsky 4mo ago
Why didn’t those amazing engineers develop great hardware before or after jobs?
72.
by dilyevsky 4mo ago
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.
73.
by dilyevsky 4mo ago
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.
74.
by dilyevsky 4mo ago
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 li
75.
by dilyevsky 4mo ago
Tom DeMarco had a whole book about this approach: https://www.penguinrandomhouse.com/books/39276/slack-by-tom-...
76.
by dilyevsky 4mo ago
sure but there are tons of products from faang and other large companies that can be considered feature complete
77.
by dilyevsky 4mo ago
Alternative ways of working
78.
by dilyevsky 4mo ago
Twitter had laid off like 75%+ of staff and everyone, including on this site, was convinced it would crash and burn, yet it's still working. Explain?
79.
by dilyevsky 4mo ago
nearly all big companies have failed too just on longer horizon
80.
by dilyevsky 4mo ago
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
81.
by dilyevsky 4mo ago
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 t
82.
by dilyevsky 4mo ago
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.
83.
by dilyevsky 4mo ago
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
84.
by dilyevsky 4mo ago
> 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 n
85.
by dilyevsky 4mo ago
Figma make and gpt designer have a bunch of catching up to do. I couldn’t even import our brand guidelines into make which is already a .fig like what are we even doing here, guys? CD crunches through ungodly amount of tokens and is really
86.
by dilyevsky 4mo ago
I'm not sure it's so much a fad rather than recognition that AI-assisted engineering calls for flatter orgs. Also "growing headcount" as management yardstick persisted way longer than 2017 - all the way into 2022 until t
87.
by dilyevsky 4mo ago
Did you? That's exactly what they are discussing except Spain and Portugal. One of the profiles still works remote at a major US software firm.
88.
by dilyevsky 4mo ago
Switzerland or Luxembourg.
89.
by dilyevsky 4mo ago
Like i said either use pre-baked env or give a candidate an auth token with something like $100-200 quota from the provider your company already uses
90.
by dilyevsky 4mo ago
Depends on what you ask, i suppose. I’m sure i can come up with something that can’t simply be one shot or the result would be bad if you do. A bit more difficult on logistics tho as you’d have to arrange for an environment with some prepai

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