lottospm
I am sure they hired the best engineers and tested as best as they can, but this seems so new that I expect there to be a lot of problems with the first year or two of production -- maybe a reason why this process is coming to North America last. And given how castings usually fail, I don't expect failures to happen immediately, but after 3-5 years or more.
But then again, I'd have said the same about using "laptop batteries" for electric cars.
Would we equally be able to blame a paper map or a road sign? Hmm, on the other hand, would we blindly trust the paper map/road sign or stop and think for a second before taking that sketchy turn off the main road?
Exactly that. This is characterized as a loss but productivity has actually grown every single year except 2011 (which had zero growth, so not a "loss" either).
Maybe 1998-2004 were just exceptional. My guess is that's when computers started to take over larger swaths of the most productive industries.
> above-average growth of the late 1990s and early 2000s
On top of that, the article (at least to me) reads like there was about a decade of above-average growth whereas it was really more like 6 years.
Edit: This reads a lot like this: https://xkcd.com/605/
Instruction decoding and memory ordering can be a bit of nightmare on CISC ISAs and fewer macro-instructions are not automatically a win. I guess we'll eventually see in benchmarks.
Even though Intel has had decades to refine their CPUs I'm quite excited to see where RISC-V is going.
I'd sy 80-90% are fine, but 1 in 10 or the gaps are so bad you can see the asymmetric gaps from 30+ ft away, most often Model Ys anecdotally. I even see what looks like added seals around sides of the rear hatch sometimes.
I think my main superficial turn-off was indeed the non-traditional loops and I was a fan of python whitespace indentation.
But on the whole ruby just feels very coherent and language features mesh very well together - it often feels like a true lisp with self-style object orientation done very well [1].
Python otoh feels like an imperative language with classical OOP added on and extended via magic methods.
See e.g. functional programming in python vs ruby with map, filter, reduce and so on and how blocks and procs in ruby interact with those vs lambdas in python.
I still use python often but have to say I tend to miss ruby when I do.
I can't find it, but I remember just seeing a headline on HN that European startup investments were at an all-time high. First relevant search hits were [1], [2], I did not fact-check those.
[1] https://news.crunchbase.com/news/european-vc-funding-h1-2021... [2] https://www.cnbc.com/2021/06/18/european-start-up-investment...