#aaaaaa — Public Fediverse posts

https://www.kpopnsfw.com/188947/aaaaaa-harry-potta-nideru-sana-potta-arigatoooo/ aaaaaa harry potta nideru sana potta arigatoooo #aaaaaa #arigatoooo #Harry #nideru #potta #sana #Twice #TWICEMemes

@golemwire

Experimenting with GWBASIC here, and it seems that you can't set the background to color 15/0xf (bright white), at least not in GWBASIC itself.

So I guess I'm supposed to use color 7 (#AAAAAA), but that's kinda dingy, I dunno. :P

I want my contrast, man!!!! 😆

@golemwire

Experimenting with GWBASIC here, and it seems that you can't set the background to color 15/0xf (bright white), at least not in GWBASIC itself.

So I guess I'm supposed to use color 7 (#AAAAAA), but that's kinda dingy, I dunno. :P

I want my contrast, man!!!! 😆

@golemwire

Experimenting with GWBASIC here, and it seems that you can't set the background to color 15/0xf (bright white), at least not in GWBASIC itself.

So I guess I'm supposed to use color 7 (#AAAAAA), but that's kinda dingy, I dunno. :P

I want my contrast, man!!!! 😆

@golemwire

Experimenting with GWBASIC here, and it seems that you can't set the background to color 15/0xf (bright white), at least not in GWBASIC itself.

So I guess I'm supposed to use color 7 (#AAAAAA), but that's kinda dingy, I dunno. :P

I want my contrast, man!!!! 😆

@golemwire

Experimenting with GWBASIC here, and it seems that you can't set the background to color 15/0xf (bright white), at least not in GWBASIC itself.

So I guess I'm supposed to use color 7 (#AAAAAA), but that's kinda dingy, I dunno. :P

I want my contrast, man!!!! 😆

I set my Ghostty split view divider color to

split-divider-color = "#AAAAAA"

and although it may be considered ugly, I actually like the contrast and simplicity somewhat

I set my Ghostty split view divider color to

split-divider-color = "#AAAAAA"

and although it may be considered ugly, I actually like the contrast and simplicity somewhat

I set my Ghostty split view divider color to

split-divider-color = "#AAAAAA"

and although it may be considered ugly, I actually like the contrast and simplicity somewhat

I set my Ghostty split view divider color to

split-divider-color = "#AAAAAA"

and although it may be considered ugly, I actually like the contrast and simplicity somewhat

I set my Ghostty split view divider color to

split-divider-color = "#AAAAAA"

and although it may be considered ugly, I actually like the contrast and simplicity somewhat

doesn't look like i can really edit those posts and… i guess that's fine even though the ryan akagi post that's popping off has context from an old twitter bot that isn't showing up. and there's no alt text or tags.

'Hvězda jasná' si ohřála nějakou šmakuládu ze smradlavého sýru, vajec, cibule a česneku. Zasmradila celou výrobnu i kancelář. Proč já? Proč já?! 🥴
#aaaaaa

'Hvězda jasná' si ohřála nějakou šmakuládu ze smradlavého sýru, vajec, cibule a česneku. Zasmradila celou výrobnu i kancelář. Proč já? Proč já?! 🥴
#aaaaaa

'Hvězda jasná' si ohřála nějakou šmakuládu ze smradlavého sýru, vajec, cibule a česneku. Zasmradila celou výrobnu i kancelář. Proč já? Proč já?! 🥴
#aaaaaa

'Hvězda jasná' si ohřála nějakou šmakuládu ze smradlavého sýru, vajec, cibule a česneku. Zasmradila celou výrobnu i kancelář. Proč já? Proč já?! 🥴
#aaaaaa

I think this is a crime against humanity. I wonder if I can get a refund for the apartment?

#ocd #misalignment #aaaaaa

I think this is a crime against humanity. I wonder if I can get a refund for the apartment?

#ocd #misalignment #aaaaaa

I think this is a crime against humanity. I wonder if I can get a refund for the apartment?

#ocd #misalignment #aaaaaa

I think this is a crime against humanity. I wonder if I can get a refund for the apartment?

#ocd #misalignment #aaaaaa

I think this is a crime against humanity. I wonder if I can get a refund for the apartment?

#ocd #misalignment #aaaaaa

Test quote of said post

#aaaaaa!

#KolorZaOknem

#aaaaaa!

#KolorZaOknem

#aaaaaa!

#KolorZaOknem

#aaaaaa!

#KolorZaOknem

#aaaaaa!

#KolorZaOknem

Maybe house plants will be the hobby that fulfils me

https://nebula.tv/videos/notesbyniba-7-essential-tips-for-beginner-houseplant-gardeners

#chronicIllness #spoonie #AuHD #AudHD #nature #home #ND #neurodivergent #aaaaaa

Maybe house plants will be the hobby that fulfils me

https://nebula.tv/videos/notesbyniba-7-essential-tips-for-beginner-houseplant-gardeners

#chronicIllness #spoonie #AuHD #AudHD #nature #home #ND #neurodivergent #aaaaaa

Maybe house plants will be the hobby that fulfils me

https://nebula.tv/videos/notesbyniba-7-essential-tips-for-beginner-houseplant-gardeners

#chronicIllness #spoonie #AuHD #AudHD #nature #home #ND #neurodivergent #aaaaaa

Maybe house plants will be the hobby that fulfils me

https://nebula.tv/videos/notesbyniba-7-essential-tips-for-beginner-houseplant-gardeners

#chronicIllness #spoonie #AuHD #AudHD #nature #home #ND #neurodivergent #aaaaaa

Maybe house plants will be the hobby that fulfils me

https://nebula.tv/videos/notesbyniba-7-essential-tips-for-beginner-houseplant-gardeners

#chronicIllness #spoonie #AuHD #AudHD #nature #home #ND #neurodivergent #aaaaaa

Nowever should be a word!!

#linguistics #language #english #words #conlang #aaaaaa #nerds #makeItHappen

Nowever should be a word!!

#linguistics #language #english #words #conlang #aaaaaa #nerds #makeItHappen

Nowever should be a word!!

#linguistics #language #english #words #conlang #aaaaaa #nerds #makeItHappen

Nowever should be a word!!

#linguistics #language #english #words #conlang #aaaaaa #nerds #makeItHappen

Just found out I have to read an entire textbook by next week. Fucking online clsases
#CompSci #uni #college #struggling #help #please #aaaaaa

Just found out I have to read an entire textbook by next week. Fucking online clsases
#CompSci #uni #college #struggling #help #please #aaaaaa

This page lists talks, workshops, videos, and podcasts.

Table of Contents

Toggle

• Lectures
• Videos
• Workshops
• Podcast

Lectures

You can find all my major talks and keynotes on the Open Science Framework.

Videos

You can find videos — both keynotes about my work as well as educational materials — on my YouTube channel. Small selection:

• 2023 › Keynote “Using network models and theories to understand, predict, and treat mental health problems”, Small is Beautiful conference (45 minutes, Youtube).
• 2022 › Talk “WARN-D: developing a personalized early warning system for depression”, Stanford Center for Precision Mental Health and Wellness (45 minutes, Youtube).
• 2021 › Keynote “Mental health: studying systems instead of syndromes”, Transdiagnostic Approaches to Mental Health conference (45 minutes, YouTube).
• 2021 › Talk “Mental health: studying systems instead of syndromes”, Trinity College Dublin (45 minutes, YouTube).
• 2020 › Talk “Measurement matters: challenges to assessing mental health problems pose a substantial barrier to clinical progress”, Future of Mental Health symposium (25 minutes, YouTube).
• 2020 › Talk “Lack of theory building and testing impedes progress in the factor and network literature” (45 minutes, YouTube).
• 2019 › Talk “Depression is a problematic phenotype: Studying symptoms over syndromes”, NIHR Maudsley Biomedical Research Centre / King’s College London (35 minutes, YouTube)

Workshops

I had the privilege to teach quite a few workshops in the last years. For an overview, see my CV. All materials are online on my OSF page, including workshops on Network Analysis, Questionable Measurement Practices (with Jessica Flake), and Improving Psychological Science by Formalizing Psychological Theories (with Don Robinaugh).

Podcast

• 2023 › 50 minute interview “Can Artificial Intelligence & Machine Learning Predict Depression?” on Dan Shipper’s AI podcast “Chain of thought” (see here for a written summary)
• 2023 › 20 minute interview on APS podcast “Under the Cortex” about my paper “Studying mental health problems as systems, not syndromes” published in the APS journal Current Directions in Psychological Science (PDF)
• 2021 › Interview on theory building, being a generalist, and pragmatism on Benjamin Kuper-Smith’s podcast
• 2021 › Short interview on the APS podcast “Under the Cortex” after winning the Janet Taylor Spence award for transformative early career contributions

https://eiko-fried.com/talks-videos/

#AAAAAA

This page lists talks, workshops, videos, and podcasts.

Table of Contents

Toggle

• Lectures
• Videos
• Workshops
• Podcast

Lectures

You can find all my major talks and keynotes on the Open Science Framework.

Videos

You can find videos — both keynotes about my work as well as educational materials — on my YouTube channel. Small selection:

• 2023 › Keynote “Using network models and theories to understand, predict, and treat mental health problems”, Small is Beautiful conference (45 minutes, Youtube).
• 2022 › Talk “WARN-D: developing a personalized early warning system for depression”, Stanford Center for Precision Mental Health and Wellness (45 minutes, Youtube).
• 2021 › Keynote “Mental health: studying systems instead of syndromes”, Transdiagnostic Approaches to Mental Health conference (45 minutes, YouTube).
• 2021 › Talk “Mental health: studying systems instead of syndromes”, Trinity College Dublin (45 minutes, YouTube).
• 2020 › Talk “Measurement matters: challenges to assessing mental health problems pose a substantial barrier to clinical progress”, Future of Mental Health symposium (25 minutes, YouTube).
• 2020 › Talk “Lack of theory building and testing impedes progress in the factor and network literature” (45 minutes, YouTube).
• 2019 › Talk “Depression is a problematic phenotype: Studying symptoms over syndromes”, NIHR Maudsley Biomedical Research Centre / King’s College London (35 minutes, YouTube)

Workshops

I had the privilege to teach quite a few workshops in the last years. For an overview, see my CV. All materials are online on my OSF page, including workshops on Network Analysis, Questionable Measurement Practices (with Jessica Flake), and Improving Psychological Science by Formalizing Psychological Theories (with Don Robinaugh).

Podcast

• 2023 › 50 minute interview “Can Artificial Intelligence & Machine Learning Predict Depression?” on Dan Shipper’s AI podcast “Chain of thought” (see here for a written summary)
• 2023 › 20 minute interview on APS podcast “Under the Cortex” about my paper “Studying mental health problems as systems, not syndromes” published in the APS journal Current Directions in Psychological Science (PDF)
• 2021 › Interview on theory building, being a generalist, and pragmatism on Benjamin Kuper-Smith’s podcast
• 2021 › Short interview on the APS podcast “Under the Cortex” after winning the Janet Taylor Spence award for transformative early career contributions

https://eiko-fried.com/talks-videos/

#AAAAAA

This page lists talks, workshops, videos, and podcasts.

Table of Contents

Toggle

• Lectures
• Videos
• Podcast
• Workshops

Lectures

You can find all my major talks and keynotes on the Open Science Framework.

Videos

You can find videos — both keynotes about my work as well as educational materials — on my YouTube channel. Small selection:

• 2023 › Keynote “Using network models and theories to understand, predict, and treat mental health problems”, Small is Beautiful conference (45 minutes, Youtube).
• 2022 › Talk “WARN-D: developing a personalized early warning system for depression”, Stanford Center for Precision Mental Health and Wellness (45 minutes, Youtube).
• 2021 › Keynote “Mental health: studying systems instead of syndromes”, Transdiagnostic Approaches to Mental Health conference (45 minutes, YouTube).
• 2021 › Talk “Mental health: studying systems instead of syndromes”, Trinity College Dublin (45 minutes, YouTube).
• 2020 › Talk “Measurement matters: challenges to assessing mental health problems pose a substantial barrier to clinical progress”, Future of Mental Health symposium (25 minutes, YouTube).
• 2020 › Talk “Lack of theory building and testing impedes progress in the factor and network literature” (45 minutes, YouTube).
• 2019 › Talk “Depression is a problematic phenotype: Studying symptoms over syndromes”, NIHR Maudsley Biomedical Research Centre / King’s College London (35 minutes, YouTube)

Podcast

• 2023 › 50 minute interview “Can Artificial Intelligence & Machine Learning Predict Depression?” on Dan Shipper’s AI podcast “Chain of thought” (see here for a written summary)
• 2023 › 20 minute interview on APS podcast “Under the Cortex” about my paper “Studying mental health problems as systems, not syndromes” published in the APS journal Current Directions in Psychological Science (PDF)
• 2021 › Interview on theory building, being a generalist, and pragmatism on Benjamin Kuper-Smith’s podcast
• 2021 › Short interview on the APS podcast “Under the Cortex” after winning the Janet Taylor Spence award for transformative early career contributions

Workshops

I had the privilege to teach quite a few workshops in the last years. For an overview, see my CV. All materials are online on my OSF page, including workshops on Network Analysis, Questionable Measurement Practices (with Jessica Flake), and Improving Psychological Science by Formalizing Psychological Theories (with Don Robinaugh).

https://eiko-fried.com/talks-videos/

#AAAAAA

This page lists talks, workshops, videos, and podcasts.

Table of Contents

Toggle

• Lectures
• Videos
• Workshops
• Podcast

Lectures

You can find all my major talks and keynotes on the Open Science Framework.

Videos

You can find videos — both keynotes about my work as well as educational materials — on my YouTube channel. Small selection:

• 2023 › Keynote “Using network models and theories to understand, predict, and treat mental health problems”, Small is Beautiful conference (45 minutes, Youtube).
• 2022 › Talk “WARN-D: developing a personalized early warning system for depression”, Stanford Center for Precision Mental Health and Wellness (45 minutes, Youtube).
• 2021 › Keynote “Mental health: studying systems instead of syndromes”, Transdiagnostic Approaches to Mental Health conference (45 minutes, YouTube).
• 2021 › Talk “Mental health: studying systems instead of syndromes”, Trinity College Dublin (45 minutes, YouTube).
• 2020 › Talk “Measurement matters: challenges to assessing mental health problems pose a substantial barrier to clinical progress”, Future of Mental Health symposium (25 minutes, YouTube).
• 2020 › Talk “Lack of theory building and testing impedes progress in the factor and network literature” (45 minutes, YouTube).
• 2019 › Talk “Depression is a problematic phenotype: Studying symptoms over syndromes”, NIHR Maudsley Biomedical Research Centre / King’s College London (35 minutes, YouTube)

Workshops

I had the privilege to teach quite a few workshops in the last years. For an overview, see my CV. All materials are online on my OSF page, including workshops on Network Analysis, Questionable Measurement Practices (with Jessica Flake), and Improving Psychological Science by Formalizing Psychological Theories (with Don Robinaugh).

Podcast

• 2023 › 50 minute interview “Can Artificial Intelligence & Machine Learning Predict Depression?” on Dan Shipper’s AI podcast “Chain of thought” (see here for a written summary)
• 2023 › 20 minute interview on APS podcast “Under the Cortex” about my paper “Studying mental health problems as systems, not syndromes” published in the APS journal Current Directions in Psychological Science (PDF)
• 2021 › Interview on theory building, being a generalist, and pragmatism on Benjamin Kuper-Smith’s podcast
• 2021 › Short interview on the APS podcast “Under the Cortex” after winning the Janet Taylor Spence award for transformative early career contributions

https://eiko-fried.com/talks-videos/

#AAAAAA

Figured out how to color text black or white depending on background lightness without breaking the components down to HSL in #css

Edit: this is now a blog post! https://miunau.com/posts/dynamic-text-contrast-in-css/

Quick and dirty filter stacking

Assuming --bgColor contains your background color:

    span {
        color: var(--bgColor);
        filter: invert(1) grayscale(1) brightness(1.3) contrast(9000);
        mix-blend-mode: luminosity;
        opacity: 0.95;
    }

This will turn to black around #AAAAAA. adjust brightness lower if you want it to turn to black earlier. play around with contrast as well, using low and high values.

After playing around with this (thanks @mia), we noticed there's some fringes happening at certain color values right when it is about to switch from black to white, so this might work best with colors that you get to control to some degree.

Less fringing with SVG filters

But! Here is a version that has no fringing:

Add this somewhere in your markup- it can be anywhere as long as the id bwFilter can be referenced.

<svg xmlns="http://www.w3.org/2000/svg" version="1.1" height="0">
    <defs>
        <filter id="bwFilter" color-interpolation-filters="sRGB">
            <!-- Convert to grayscale based on luminance -->
            <feColorMatrix type="matrix"
                values="0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0 0 0 1 0"/>
            <!-- Expand edges slightly to clean up any fringing -->
            <feMorphology operator="dilate" radius="2"/>
            <!-- Apply the threshold to determine if the color should be black or white -->
            <feComponentTransfer>
                <feFuncR type="linear" slope="-255" intercept="128"/>
                <feFuncG type="linear" slope="-255" intercept="128"/>
                <feFuncB type="linear" slope="-255" intercept="128"/>
            </feComponentTransfer>
            <!-- Composite step to clean up the result -->
            <feComposite operator="in" in2="SourceGraphic"/>
        </filter>
    </defs>
</svg>

Then just reference it in your css:

span {
    color: var(--bgColor);
    filter: url(#bwFilter);
}

tada! no fringing!

svg version here: https://codepen.io/miunau/pen/oNVaJoN?editors=1100

Figured out how to color text black or white depending on background lightness without breaking the components down to HSL in #css

Edit: this is now a blog post! https://miunau.com/posts/dynamic-text-contrast-in-css/

Quick and dirty filter stacking

Assuming --bgColor contains your background color:

    span {
        color: var(--bgColor);
        filter: invert(1) grayscale(1) brightness(1.3) contrast(9000);
        mix-blend-mode: luminosity;
        opacity: 0.95;
    }

This will turn to black around #AAAAAA. adjust brightness lower if you want it to turn to black earlier. play around with contrast as well, using low and high values.

After playing around with this (thanks @mia), we noticed there's some fringes happening at certain color values right when it is about to switch from black to white, so this might work best with colors that you get to control to some degree.

Less fringing with SVG filters

But! Here is a version that has no fringing:

Add this somewhere in your markup- it can be anywhere as long as the id bwFilter can be referenced.

<svg xmlns="http://www.w3.org/2000/svg" version="1.1" height="0">
    <defs>
        <filter id="bwFilter" color-interpolation-filters="sRGB">
            <!-- Convert to grayscale based on luminance -->
            <feColorMatrix type="matrix"
                values="0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0 0 0 1 0"/>
            <!-- Expand edges slightly to clean up any fringing -->
            <feMorphology operator="dilate" radius="2"/>
            <!-- Apply the threshold to determine if the color should be black or white -->
            <feComponentTransfer>
                <feFuncR type="linear" slope="-255" intercept="128"/>
                <feFuncG type="linear" slope="-255" intercept="128"/>
                <feFuncB type="linear" slope="-255" intercept="128"/>
            </feComponentTransfer>
            <!-- Composite step to clean up the result -->
            <feComposite operator="in" in2="SourceGraphic"/>
        </filter>
    </defs>
</svg>

Then just reference it in your css:

span {
    color: var(--bgColor);
    filter: url(#bwFilter);
}

tada! no fringing!

svg version here: https://codepen.io/miunau/pen/oNVaJoN?editors=1100

Figured out how to color text black or white depending on background lightness without breaking the components down to HSL in #css

Edit: this is now a blog post! https://miunau.com/posts/dynamic-text-contrast-in-css/

Quick and dirty filter stacking

Assuming --bgColor contains your background color:

    span {
        color: var(--bgColor);
        filter: invert(1) grayscale(1) brightness(1.3) contrast(9000);
        mix-blend-mode: luminosity;
        opacity: 0.95;
    }

This will turn to black around #AAAAAA. adjust brightness lower if you want it to turn to black earlier. play around with contrast as well, using low and high values.

After playing around with this (thanks @mia), we noticed there's some fringes happening at certain color values right when it is about to switch from black to white, so this might work best with colors that you get to control to some degree.

Less fringing with SVG filters

But! Here is a version that has no fringing:

Add this somewhere in your markup- it can be anywhere as long as the id bwFilter can be referenced.

<svg xmlns="http://www.w3.org/2000/svg" version="1.1" height="0">
    <defs>
        <filter id="bwFilter" color-interpolation-filters="sRGB">
            <!-- Convert to grayscale based on luminance -->
            <feColorMatrix type="matrix"
                values="0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0.2126 0.7152 0.0722 0 0
                        0 0 0 1 0"/>
            <!-- Expand edges slightly to clean up any fringing -->
            <feMorphology operator="dilate" radius="2"/>
            <!-- Apply the threshold to determine if the color should be black or white -->
            <feComponentTransfer>
                <feFuncR type="linear" slope="-255" intercept="128"/>
                <feFuncG type="linear" slope="-255" intercept="128"/>
                <feFuncB type="linear" slope="-255" intercept="128"/>
            </feComponentTransfer>
            <!-- Composite step to clean up the result -->
            <feComposite operator="in" in2="SourceGraphic"/>
        </filter>
    </defs>
</svg>

Then just reference it in your css:

span {
    color: var(--bgColor);
    filter: url(#bwFilter);
}

tada! no fringing!

svg version here: https://codepen.io/miunau/pen/oNVaJoN?editors=1100