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lottospm

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lottospm
·4 tahun yang lalu·discuss
They'll also fail you for improperly adjusted headlights, beam pattern and such. I bet the lights are blinding oncoming traffic because they "self-adjusted" or automatic leveling software somehow fails.
lottospm
·5 tahun yang lalu·discuss
As far as I remember from my material sciences classes, casting is a lot more difficult to model and QC than stamped and welded/glued steel panels. This is also a completely new process for automotive at this scale which complicates it further.

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.
lottospm
·5 tahun yang lalu·discuss
Maybe I'm being callous but I often think people in these incidents are often shirking responsibility, just looking for any possibility to keep going and then the GPS gets blamed when it goes wrong.

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?
lottospm
·5 tahun yang lalu·discuss
> The figure—$10.9 trillion—represents the cumulative loss in output in the U.S. nonfarm business sector due to the labor productivity slowdown since 2005, also corresponding to a loss of $95,000 in output per worker.

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/
lottospm
·5 tahun yang lalu·discuss
I'm not an expert on ISA and CPU internals, but an X86 instruction is not just "an instruction" anymore. Afaik, since the P6 arch Intel is using a fancy decoder to translate x86/-64 CISC into an internal RISC ISA (up to 4 u-ops per CISC instruction) and that internal ISA could be quite close to the RISC-V ISA for all I know.

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.
lottospm
·5 tahun yang lalu·discuss
I don't mean to be flip, but I tend to check out white Teslas while driving by on the highway for rear panel gaps. White paint makes it especially obvious.

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.
lottospm
·5 tahun yang lalu·discuss
I was never a fan of ruby until I had to use it at work.

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.

[1] https://news.ycombinator.com/item?id=1803815
lottospm
·5 tahun yang lalu·discuss
> "Principle #4: We must also protect small businesses and innovation. We know that in Europe, investments in startups are down more than 40% since their data protection and privacy law—the General Data Protection Regulation—went into effect. We must guard against a similar situation here. We want small businesses hiring coders and engineers, not lawyers."

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...