Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Lisp at the Frontier of Computation [video]

youtube.com

Post reply on HN
Print view View original

141–143 of 143 posts

Re: Lisp at the Frontier of Computation [video]

#141

Post by taeric »

kbp wrote: post #113
taeric wrote: post #112

Earlier quoted context omitted.

My reading comprehension on first waking up was terrible. I thought we were disagreeing, but I can see you were clearly adding to my statement, not contradicting it. :) Love that quote from McCarthy, btw. I have not seen that before. Is there more in the context of where that came from?

It's from this: http://www-formal.stanford.edu/jmc/history/lisp/lisp.html

I'd seen this link before, but clearly hadn't read it as well as I'd thought I'd done in the past. Likely I was too unfamiliar with the techs to really grok what I was reading at the time. Thanks for sharing!

Re: Lisp at the Frontier of Computation [video]

#142

Post by throwaway7645 »

reikonomusha wrote: post #130
throwaway7645 wrote: post #127

Earlier quoted context omitted.

Racket isn't near as fast as SBCL though. However, now that Chez Scheme is open source, Racket is in the process of leveraging that run time. Also I don't know, but would guess deployment is easier with SBCL as it can build a standalone executable (albeit it is very large due to saving the running image).

10-20 MB isn't large these days, especially when every iPhone app update is on the order of 60-200 MB.

I guess it's all based on perspective. Comparing to C, D, Nim...etc, it's huge. However, the mathematical model my company exports alone is 10-22 MB alone in just text or binary form (no code), so yeeeaaa I see what you're saying :)

Re: Lisp at the Frontier of Computation [video]

#143

Post by nerpderp83 »

exikyut wrote: post #68
nerpderp83 wrote: post #45

Earlier quoted context omitted.

Some please make an ML/Dsp powered magical audio fixer for system sound.

- https://pypi.python.org/pypi/pulsectl/17.1.3 - http://larsimmisch.github.io/pyalsaaudio/ - https://askubuntu.com/questions/129412/pulseaudio-and-python... - http://menno.io/posts/pulseaudio_monitoring/ - http://menno.io/posts/raspberry_pi_vu_meter/ You know exactly what features you'd want. This is my attempt at inspiration. :P

I was thinking something more like https://www.technologyreview.com/s/537101/deep-learning-mach...

or

https://arxiv.org/pdf/1703.08019.pdf

It would allow one to scrub unwanted audio sources from an audio stream.

Post reply on HN