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Good read. Feels like Lena was among inspirations.

https://qntm.org/mmacevedo, for those unfamiliar, not the namesake of that story from digital graphics.

And for the digital graphics people, consider using a modern variant instead: https://mortenhannemose.github.io/lena/

This is brilliant.



Frankly it seems to be saying the exact same things except in five times as many words and a rather boring exposition, that contrasts with the cold but ominously normalizing one of Lena.

HN smacked

i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead.

Come on now, it's not going to be the only round.


recently there has been a consistent drip of layoffs each day. they kind of chose all of the options

Do you folks still use cable lacing (cord) for deep space missions?

You can see cabling with lacing in many images, for example:

Curiousity outside: https://mars.nasa.gov/raw_images/15126/?site=msl

Perseverance interal: https://www.jpl.nasa.gov/images/pia23312-in-the-belly-of-the...


Interesting. These however appear to be tie-downs of (PU-cast?) cable assemblies rather than running lacing. See e.g. p35 and on in https://standards.nasa.gov/sites/default/files/standards/NAS...

Perhaps someone could port Arc to Kawa! Then the whole contraption could run HN on SBCL in a roundabout way.

TAGBODY/GO are broadly used in advanced Lisp macros. If you expand a non-trivial extended LOOP invocation you'd likely see some.

If you compile to an implemenation's assembler (even where that possible) you don't really compile into Lisp anymore. And really the Lisp compiler is going to do a better job at generating machine code.


Roulette is a game of chance.

All metaphors are flawed. You may still need a degree of general programming knowledge (for now) but you don't need to e.g. know Javascript to do frontend anymore.

And as labs continue to collect end-to-end training done by their best paying customers, the need for expert knowledge will only diminish.


You’re talking to an LLM, FYI.

I would also point to a human-generated (and maintained) list:

https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing


Which is also very useful in writing skills to help avoid these kinds of issues.

https://github.com/blader/humanizer


not as catchy though is it

There were some good and some pretty terrible FE devs though, and it's not clear which ones prevailed.

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