#algoapril — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #algoapril, aggregated by home.social.
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RE: https://cosocial.ca/@rhempel/116650230030112969
For two decades I've been making that same point (below), also specifically for computational/algorithmic art. It's also been a key topic in many of my past workshops. More than just being about performance, data structure literacy (at least awareness of options) can be a powerful tool/help for expressing and actualizing ideas in the first place, especially for interactive situations (where using the right or wrong or no data structure can be a make-or-break in some situations).
Yet, most of the the time, I felt these efforts to encourage more attention on improving algorithmic literacy in the design/art world have mostly received disinterest or even active pushback (e.g. the classic "to learn how to drive you don't need to know how a combustion engine works" argumentation) etc.
In one of my roles last year, I was responsible for optimizing the performance of several art pieces by well known, celebrated "algorithmic artists" to allow their pieces to run at least with an "alright" frame rate on the company's chosen Android hardware (Snapdragon 8 based). Oftentimes the given code was extremely naive, unoptimized spaghetti and I managed to achieve 2-8x performance boosts. This is not to brag, but to illustrate the wider problem! If one's supposed expertise & claim to fame is "algorithmic art", then one should also strive a little (more) to become proficient in said medium. Good knowledge of data structures and at least a passing interest in performance & hardware are key attention points towards achieving that (in my view)...
The RAM and GPU price explosions will likely "encourage" a little more awareness in the future (not just for arty stuff)... Then again, mass slop coding is a strong counter force/movement... 🤷♂️
Also previously:
https://mastodon.thi.ng/@toxi/116323268206171198
https://mastodon.thi.ng/@toxi/115791275814738584
https://mastodon.thi.ng/@toxi/115791712519666535#DataStructures #Performance #Optimization #AlgorithmicArt #AlgoApril
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RE: https://cosocial.ca/@rhempel/116650230030112969
For two decades I've been making that same point (below), also specifically for computational/algorithmic art. It's also been a key topic in many of my past workshops. More than just being about performance, data structure literacy (at least awareness of options) can be a powerful tool/help for expressing and actualizing ideas in the first place, especially for interactive situations (where using the right or wrong or no data structure can be a make-or-break in some situations).
Yet, most of the the time, I felt these efforts to encourage more attention on improving algorithmic literacy in the design/art world have mostly received disinterest or even active pushback (e.g. the classic "to learn how to drive you don't need to know how a combustion engine works" argumentation) etc.
In one of my roles last year, I was responsible for optimizing the performance of several art pieces by well known, celebrated "algorithmic artists" to allow their pieces to run at least with an "alright" frame rate on the company's chosen Android hardware (Snapdragon 8 based). Oftentimes the given code was extremely naive, unoptimized spaghetti and I managed to achieve 2-8x performance boosts. This is not to brag, but to illustrate the wider problem! If one's supposed expertise & claim to fame is "algorithmic art", then one should also strive a little (more) to become proficient in said medium. Good knowledge of data structures and at least a passing interest in performance & hardware are key attention points towards achieving that (in my view)...
The RAM and GPU price explosions will likely "encourage" a little more awareness in the future (not just for arty stuff)... Then again, mass slop coding is a strong counter force/movement... 🤷♂️
Also previously:
https://mastodon.thi.ng/@toxi/116323268206171198
https://mastodon.thi.ng/@toxi/115791275814738584
https://mastodon.thi.ng/@toxi/115791712519666535#DataStructures #Performance #Optimization #AlgorithmicArt #AlgoApril
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RE: https://cosocial.ca/@rhempel/116650230030112969
For two decades I've been making that same point (below), also specifically for computational/algorithmic art. It's also been a key topic in many of my past workshops. More than just being about performance, data structure literacy (at least awareness of options) can be a powerful tool/help for expressing and actualizing ideas in the first place, especially for interactive situations (where using the right or wrong or no data structure can be a make-or-break in some situations).
Yet, most of the the time, I felt these efforts to encourage more attention on improving algorithmic literacy in the design/art world have mostly received disinterest or even active pushback (e.g. the classic "to learn how to drive you don't need to know how a combustion engine works" argumentation) etc.
In one of my roles last year, I was responsible for optimizing the performance of several art pieces by well known, celebrated "algorithmic artists" to allow their pieces to run at least with an "alright" frame rate on the company's chosen Android hardware (Snapdragon 8 based). Oftentimes the given code was extremely naive, unoptimized spaghetti and I managed to achieve 2-8x performance boosts. This is not to brag, but to illustrate the wider problem! If one's supposed expertise & claim to fame is "algorithmic art", then one should also strive a little (more) to become proficient in said medium. Good knowledge of data structures and at least a passing interest in performance & hardware are key attention points towards achieving that (in my view)...
The RAM and GPU price explosions will likely "encourage" a little more awareness in the future (not just for arty stuff)... Then again, mass slop coding is a strong counter force/movement... 🤷♂️
Also previously:
https://mastodon.thi.ng/@toxi/116323268206171198
https://mastodon.thi.ng/@toxi/115791275814738584
https://mastodon.thi.ng/@toxi/115791712519666535#DataStructures #Performance #Optimization #AlgorithmicArt #AlgoApril
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RE: https://cosocial.ca/@rhempel/116650230030112969
For two decades I've been making that same point (below), also specifically for computational/algorithmic art. It's also been a key topic in many of my past workshops. More than just being about performance, data structure literacy (at least awareness of options) can be a powerful tool/help for expressing and actualizing ideas in the first place, especially for interactive situations (where using the right or wrong or no data structure can be a make-or-break in some situations).
Yet, most of the the time, I felt these efforts to encourage more attention on improving algorithmic literacy in the design/art world have mostly received disinterest or even active pushback (e.g. the classic "to learn how to drive you don't need to know how a combustion engine works" argumentation) etc.
In one of my roles last year, I was responsible for optimizing the performance of several art pieces by well known, celebrated "algorithmic artists" to allow their pieces to run at least with an "alright" frame rate on the company's chosen Android hardware (Snapdragon 8 based). Oftentimes the given code was extremely naive, unoptimized spaghetti and I managed to achieve 2-8x performance boosts. This is not to brag, but to illustrate the wider problem! If one's supposed expertise & claim to fame is "algorithmic art", then one should also strive a little (more) to become proficient in said medium. Good knowledge of data structures and at least a passing interest in performance & hardware are key attention points towards achieving that (in my view)...
The RAM and GPU price explosions will likely "encourage" a little more awareness in the future (not just for arty stuff)... Then again, mass slop coding is a strong counter force/movement... 🤷♂️
Also previously:
https://mastodon.thi.ng/@toxi/116323268206171198
https://mastodon.thi.ng/@toxi/115791275814738584
https://mastodon.thi.ng/@toxi/115791712519666535#DataStructures #Performance #Optimization #AlgorithmicArt #AlgoApril
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An experiment using the Chebyshev distance to determine inequalities/irregularities in Perlin noise.
source: https://github.com/nclslbrn/forsaken-ideas/blob/main/sketch/chebyshev-grid/index.js
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An experiment using the Chebyshev distance to determine inequalities/irregularities in Perlin noise.
source: https://github.com/nclslbrn/forsaken-ideas/blob/main/sketch/chebyshev-grid/index.js
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An experiment using the Chebyshev distance to determine inequalities/irregularities in Perlin noise.
source: https://github.com/nclslbrn/forsaken-ideas/blob/main/sketch/chebyshev-grid/index.js
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An experiment using the Chebyshev distance to determine inequalities/irregularities in Perlin noise.
source: https://github.com/nclslbrn/forsaken-ideas/blob/main/sketch/chebyshev-grid/index.js
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@toxi there are some interesting topics here, some that I've never tried, I think I'll try a few of them
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@toxi there are some interesting topics here, some that I've never tried, I think I'll try a few of them
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@toxi there are some interesting topics here, some that I've never tried, I think I'll try a few of them
-
@toxi there are some interesting topics here, some that I've never tried, I think I'll try a few of them
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It's probably a lost cause and also too short notice, but I'm still thinking about #AlgoApril, which I proposed back in 2022, but it's an incomplete list of prompts and sadly never took off...
https://github.com/algoapril/algoapril-2022
From the readme:
Learning about & applying algorithms and data structures for generative art/design, helping to introduce participants to a wider spectrum of techniques.
Unlike other initiatives like #genuary, #codevember, #nodevember etc., all of which are predominantly using visual/conceptual prompts, the focus of the #AlgoApril initiative is on algorithmic literacy, using technical, algorithmic prompts (of course, with some [visual] references and study materials) without further prescribing how these algorithms should be used. The only aim, goal and hope is for people to creatively engage with these techniques, breaking 'em, hacking 'em and finding interesting uses to create outcomes, which could be considered artistic. Algorithmic layering is encouraged at each turn!
In some sense, this more "bottom-up" approach to creation is maybe alien to some, but the lack of explicit aesthetic or conceptual/artistic goals has the potential to produce a much wider scope of outcomes (hopefully not only visual - audio, text and other outputs are highly encouraged!). There's also hope it could be more educational, helping people to engage with a larger repertoire of fundamental algorithmic tools and then apply & mix them in their own work/practice.
Many of the topics & algorithms selected here will have a more or less known visual representation and we encourage everyone to consciously reject these clichés and make honest attempts to find creative other solutions to visualize/sonify/represent them.
--
In any way, I'll be following the #AlgoApril hashtag and boosting relevant outcomes to help circulation. I'm currently on a few deadlines, so not sure how much I can contribute myself, but might post some of my own prior art related to the prompts...
#Algorithms #DataStructures #AlgorithmicArt #AlgoMusic #GenerativeArt #DataViz #CompSci #Education
-
It's probably a lost cause and also too short notice, but I'm still thinking about #AlgoApril, which I proposed back in 2022, but it's an incomplete list of prompts and sadly never took off...
https://github.com/algoapril/algoapril-2022
From the readme:
Learning about & applying algorithms and data structures for generative art/design, helping to introduce participants to a wider spectrum of techniques.
Unlike other initiatives like #genuary, #codevember, #nodevember etc., all of which are predominantly using visual/conceptual prompts, the focus of the #AlgoApril initiative is on algorithmic literacy, using technical, algorithmic prompts (of course, with some [visual] references and study materials) without further prescribing how these algorithms should be used. The only aim, goal and hope is for people to creatively engage with these techniques, breaking 'em, hacking 'em and finding interesting uses to create outcomes, which could be considered artistic. Algorithmic layering is encouraged at each turn!
In some sense, this more "bottom-up" approach to creation is maybe alien to some, but the lack of explicit aesthetic or conceptual/artistic goals has the potential to produce a much wider scope of outcomes (hopefully not only visual - audio, text and other outputs are highly encouraged!). There's also hope it could be more educational, helping people to engage with a larger repertoire of fundamental algorithmic tools and then apply & mix them in their own work/practice.
Many of the topics & algorithms selected here will have a more or less known visual representation and we encourage everyone to consciously reject these clichés and make honest attempts to find creative other solutions to visualize/sonify/represent them.
--
In any way, I'll be following the #AlgoApril hashtag and boosting relevant outcomes to help circulation. I'm currently on a few deadlines, so not sure how much I can contribute myself, but might post some of my own prior art related to the prompts...
#Algorithms #DataStructures #AlgorithmicArt #AlgoMusic #GenerativeArt #DataViz #CompSci #Education
-
It's probably a lost cause and also too short notice, but I'm still thinking about #AlgoApril, which I proposed back in 2022, but it's an incomplete list of prompts and sadly never took off...
https://github.com/algoapril/algoapril-2022
From the readme:
Learning about & applying algorithms and data structures for generative art/design, helping to introduce participants to a wider spectrum of techniques.
Unlike other initiatives like #genuary, #codevember, #nodevember etc., all of which are predominantly using visual/conceptual prompts, the focus of the #AlgoApril initiative is on algorithmic literacy, using technical, algorithmic prompts (of course, with some [visual] references and study materials) without further prescribing how these algorithms should be used. The only aim, goal and hope is for people to creatively engage with these techniques, breaking 'em, hacking 'em and finding interesting uses to create outcomes, which could be considered artistic. Algorithmic layering is encouraged at each turn!
In some sense, this more "bottom-up" approach to creation is maybe alien to some, but the lack of explicit aesthetic or conceptual/artistic goals has the potential to produce a much wider scope of outcomes (hopefully not only visual - audio, text and other outputs are highly encouraged!). There's also hope it could be more educational, helping people to engage with a larger repertoire of fundamental algorithmic tools and then apply & mix them in their own work/practice.
Many of the topics & algorithms selected here will have a more or less known visual representation and we encourage everyone to consciously reject these clichés and make honest attempts to find creative other solutions to visualize/sonify/represent them.
--
In any way, I'll be following the #AlgoApril hashtag and boosting relevant outcomes to help circulation. I'm currently on a few deadlines, so not sure how much I can contribute myself, but might post some of my own prior art related to the prompts...
#Algorithms #DataStructures #AlgorithmicArt #AlgoMusic #GenerativeArt #DataViz #CompSci #Education
-
It's probably a lost cause and also too short notice, but I'm still thinking about #AlgoApril, which I proposed back in 2022, but it's an incomplete list of prompts and sadly never took off...
https://github.com/algoapril/algoapril-2022
From the readme:
Learning about & applying algorithms and data structures for generative art/design, helping to introduce participants to a wider spectrum of techniques.
Unlike other initiatives like #genuary, #codevember, #nodevember etc., all of which are predominantly using visual/conceptual prompts, the focus of the #AlgoApril initiative is on algorithmic literacy, using technical, algorithmic prompts (of course, with some [visual] references and study materials) without further prescribing how these algorithms should be used. The only aim, goal and hope is for people to creatively engage with these techniques, breaking 'em, hacking 'em and finding interesting uses to create outcomes, which could be considered artistic. Algorithmic layering is encouraged at each turn!
In some sense, this more "bottom-up" approach to creation is maybe alien to some, but the lack of explicit aesthetic or conceptual/artistic goals has the potential to produce a much wider scope of outcomes (hopefully not only visual - audio, text and other outputs are highly encouraged!). There's also hope it could be more educational, helping people to engage with a larger repertoire of fundamental algorithmic tools and then apply & mix them in their own work/practice.
Many of the topics & algorithms selected here will have a more or less known visual representation and we encourage everyone to consciously reject these clichés and make honest attempts to find creative other solutions to visualize/sonify/represent them.
--
In any way, I'll be following the #AlgoApril hashtag and boosting relevant outcomes to help circulation. I'm currently on a few deadlines, so not sure how much I can contribute myself, but might post some of my own prior art related to the prompts...
#Algorithms #DataStructures #AlgorithmicArt #AlgoMusic #GenerativeArt #DataViz #CompSci #Education