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bmallred
staystrong.run
 (2y ago)

Pinellas County - Long run: 10.70 miles, 00:11:36 average pace, 02:04:13 duration
had a lot going against me today (all self inflicted). got about 4h30m of sleep with too much to drink late in the evening. no hangover or anything, but probably didn’t help my rest nor hydration. also it was supposedly 80F with a feels like of 93F when i started and 89F with feels like of 111F when i finished. the legs felt heavy and didn’t have the energy to up the cadence and sustain it. it was definitely nice to get out but just one of those days.
#running

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abucci
anthony.buc.ci
 (2y ago)
↳ In-reply-to » I used to be a big fan of a service called cocalc, which you could also self host. It was kind of an integrated math, data science, research, writing, and teaching platform.

@prologic@twtxt.net It was super useful if you needed to do the sorts of things it did. I’m pretty sad.

At its core was Sage, a computational mathematics system, and their own version of Jupyter notebooks. So, you could do all kinds of different math stuff in a notebook environment and share that with people. But on top of that, there was a chat system, a collaborative editing system, a course management system (so if you were teaching a class using it you could keep track of students, assignments, grades, that sort of thing), and a bunch of other stuff I never used. It all ran in a linux container with python/conda as a base, so you could also drop to a terminal, install stuff in the container, and run X11 applications in the same environment. I never taught a class with it but I used to use it semi-regularly to experiment with ideas.

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abucci
anthony.buc.ci
 (2y ago)

I used to be a big fan of a service called cocalc, which you could also self host. It was kind of an integrated math, data science, research, writing, and teaching platform.

I hadn’t run it in awhile, and when I checked in with it today I found their web site brags that cocalc is now “extensively integrated with ChatGPT”.

Which means I can’t use it anymore, and frankly anyone doing anything serious shouldn’t use it either. Very disappointing.

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xuu
txt.sour.is
 (2y ago)
↳ In-reply-to » Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.

There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.

https://youtube.com/watch?v=Dt_UNg7Mchg&feature=share9

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abucci
anthony.buc.ci
 (2y ago)
↳ In-reply-to » A GTK 4 application showing an empty window uses about 160 MB of RAM:

@movq@www.uninformativ.de If I understand it correctly, gtk4 renders using OpenGL. That means some of that RAM that appears to be allocated is actually some trick of the OpenGL driver so that it can map address in RAM space to the GPU’s VRAM (depends a lot on your setup though).

What happens if you run it with GSK_RENDERER=cairo set?

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movq
www.uninformativ.de
 (2y ago)

A GTK 4 application showing an empty window uses about 160 MB of RAM:

$ wget https://movq.de/v/138ab3e622/win.c
$ cc -Wall -Wextra -o win win.c $(pkg-config --cflags --libs gtk4)
$ ./win

It also takes several seconds to start on my machine because it is compiling shaders and initializing DRI (it’s faster on the second run, unless you happen to lose ~/.cache/mesa_shader_cache/). This might be a hint as to why it’s using so much memory: There’s obviously much more going on behind the scenes these days, not just a little bit of internal housekeeping and then creating a window.

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