#opensourcefunding — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #opensourcefunding, aggregated by home.social.
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🎉 Behold the grandiose spectacle of the "World's First Open Source Endowment!" Because, clearly, a whopping $693K from 61 donors will revolutionize the world of open source funding one penny at a time. 🙄 Let's all line up to donate to this "truly sustainable" fund that promises to solve everything but likely ends up funding more FAQs than actual projects. 🤑
https://endowment.dev/ #OpenSourceFunding #SustainableProjects #TechNews #CommunitySupport #HackerNews #ngated -
🎉 Behold the grandiose spectacle of the "World's First Open Source Endowment!" Because, clearly, a whopping $693K from 61 donors will revolutionize the world of open source funding one penny at a time. 🙄 Let's all line up to donate to this "truly sustainable" fund that promises to solve everything but likely ends up funding more FAQs than actual projects. 🤑
https://endowment.dev/ #OpenSourceFunding #SustainableProjects #TechNews #CommunitySupport #HackerNews #ngated -
🎉 Behold the grandiose spectacle of the "World's First Open Source Endowment!" Because, clearly, a whopping $693K from 61 donors will revolutionize the world of open source funding one penny at a time. 🙄 Let's all line up to donate to this "truly sustainable" fund that promises to solve everything but likely ends up funding more FAQs than actual projects. 🤑
https://endowment.dev/ #OpenSourceFunding #SustainableProjects #TechNews #CommunitySupport #HackerNews #ngated -
🎉 Behold the grandiose spectacle of the "World's First Open Source Endowment!" Because, clearly, a whopping $693K from 61 donors will revolutionize the world of open source funding one penny at a time. 🙄 Let's all line up to donate to this "truly sustainable" fund that promises to solve everything but likely ends up funding more FAQs than actual projects. 🤑
https://endowment.dev/ #OpenSourceFunding #SustainableProjects #TechNews #CommunitySupport #HackerNews #ngated -
Neuer Artikel im Blog:
TYPO3-Ideen für Q2/2025: Wähle mit und gestalte die Zukunft
https://wwagner.net/blog/a/typo3-ideen-fuer-q2-2025-waehle-mit-und-gestalte-die-zukunft
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Neuer Artikel im Blog:
TYPO3-Ideen für Q2/2025: Wähle mit und gestalte die Zukunft
https://wwagner.net/blog/a/typo3-ideen-fuer-q2-2025-waehle-mit-und-gestalte-die-zukunft
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Neuer Artikel im Blog:
TYPO3-Ideen für Q2/2025: Wähle mit und gestalte die Zukunft
https://wwagner.net/blog/a/typo3-ideen-fuer-q2-2025-waehle-mit-und-gestalte-die-zukunft
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Neuer Artikel im Blog:
TYPO3-Ideen für Q2/2025: Wähle mit und gestalte die Zukunft
https://wwagner.net/blog/a/typo3-ideen-fuer-q2-2025-waehle-mit-und-gestalte-die-zukunft
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Neuer Artikel im Blog:
TYPO3-Ideen für Q2/2025: Wähle mit und gestalte die Zukunft
https://wwagner.net/blog/a/typo3-ideen-fuer-q2-2025-waehle-mit-und-gestalte-die-zukunft
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One small step for open-source but a giant leap for mankind.
#opensource #opensourcefunding
https://www.jpl.nasa.gov/home/news/nasa-funds-open-source-software-underpinning-scientific-innovation/ -
One small step for open-source but a giant leap for mankind.
#opensource #opensourcefunding
https://www.jpl.nasa.gov/home/news/nasa-funds-open-source-software-underpinning-scientific-innovation/ -
One small step for open-source but a giant leap for mankind.
#opensource #opensourcefunding
https://www.jpl.nasa.gov/home/news/nasa-funds-open-source-software-underpinning-scientific-innovation/ -
One small step for open-source but a giant leap for mankind.
#opensource #opensourcefunding
https://www.jpl.nasa.gov/home/news/nasa-funds-open-source-software-underpinning-scientific-innovation/ -
One small step for open-source but a giant leap for mankind.
#opensource #opensourcefunding
https://www.jpl.nasa.gov/home/news/nasa-funds-open-source-software-underpinning-scientific-innovation/ -
Just checked how many connected NR instances there are combined for my Alexa and Google Home nodes.
If I can convince 1% of them to chip in $1 a month then the costs are covered.
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Just checked how many connected NR instances there are combined for my Alexa and Google Home nodes.
If I can convince 1% of them to chip in $1 a month then the costs are covered.
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Just checked how many connected NR instances there are combined for my Alexa and Google Home nodes.
If I can convince 1% of them to chip in $1 a month then the costs are covered.
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Just checked how many connected NR instances there are combined for my Alexa and Google Home nodes.
If I can convince 1% of them to chip in $1 a month then the costs are covered.
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Just checked how many connected NR instances there are combined for my Alexa and Google Home nodes.
If I can convince 1% of them to chip in $1 a month then the costs are covered.
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Published a first draft of Collective Funds Guidelines: https://github.com/collective-funds/guidelines
First user will be Mocha and its inspired by prior art of awesome fellow @openjsf projects @eslint and WebdriverIO 🙏
Thanks to (in no special order) @JoshuaKGoldberg, @mcollina, @west, @ulisesgascon, @uzlopak, @bcomnes for review, feedback and suggestions that helped shape this 🙏
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Published a first draft of Collective Funds Guidelines: https://github.com/collective-funds/guidelines
First user will be Mocha and its inspired by prior art of awesome fellow @openjsf projects @eslint and WebdriverIO 🙏
Thanks to (in no special order) @JoshuaKGoldberg, @mcollina, @west, @ulisesgascon, @uzlopak, @bcomnes for review, feedback and suggestions that helped shape this 🙏
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Published a first draft of Collective Funds Guidelines: https://github.com/collective-funds/guidelines
First user will be Mocha and its inspired by prior art of awesome fellow @openjsf projects @eslint and WebdriverIO 🙏
Thanks to (in no special order) @JoshuaKGoldberg, @mcollina, @west, @ulisesgascon, @uzlopak, @bcomnes for review, feedback and suggestions that helped shape this 🙏
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Published a first draft of Collective Funds Guidelines: https://github.com/collective-funds/guidelines
First user will be Mocha and its inspired by prior art of awesome fellow @openjsf projects @eslint and WebdriverIO 🙏
Thanks to (in no special order) @JoshuaKGoldberg, @mcollina, @west, @ulisesgascon, @uzlopak, @bcomnes for review, feedback and suggestions that helped shape this 🙏
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Published a first draft of Collective Funds Guidelines: https://github.com/collective-funds/guidelines
First user will be Mocha and its inspired by prior art of awesome fellow @openjsf projects @eslint and WebdriverIO 🙏
Thanks to (in no special order) @JoshuaKGoldberg, @mcollina, @west, @ulisesgascon, @uzlopak, @bcomnes for review, feedback and suggestions that helped shape this 🙏
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"Wait. You mean we can exploit the workers we pay AND the ones we don't pay? Oh hell yeah!"
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"Wait. You mean we can exploit the workers we pay AND the ones we don't pay? Oh hell yeah!"
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"Wait. You mean we can exploit the workers we pay AND the ones we don't pay? Oh hell yeah!"
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"Wait. You mean we can exploit the workers we pay AND the ones we don't pay? Oh hell yeah!"
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"Wait. You mean we can exploit the workers we pay AND the ones we don't pay? Oh hell yeah!"
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So I guess my question is (sorry this is so rambly, nuance is hard!!)… how would you as an ethical open source project with diverse interests and a community of users with strong feelings around “AI” approach this?
I almost feel like we need to distinguish the current generative AI hype from ML-powered features when it comes to public communication—but *also* lean into “AI” when looking at funding. And that distinction is… hard.
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So I guess my question is (sorry this is so rambly, nuance is hard!!)… how would you as an ethical open source project with diverse interests and a community of users with strong feelings around “AI” approach this?
I almost feel like we need to distinguish the current generative AI hype from ML-powered features when it comes to public communication—but *also* lean into “AI” when looking at funding. And that distinction is… hard.
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So I guess my question is (sorry this is so rambly, nuance is hard!!)… how would you as an ethical open source project with diverse interests and a community of users with strong feelings around “AI” approach this?
I almost feel like we need to distinguish the current generative AI hype from ML-powered features when it comes to public communication—but *also* lean into “AI” when looking at funding. And that distinction is… hard.
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So I guess my question is (sorry this is so rambly, nuance is hard!!)… how would you as an ethical open source project with diverse interests and a community of users with strong feelings around “AI” approach this?
I almost feel like we need to distinguish the current generative AI hype from ML-powered features when it comes to public communication—but *also* lean into “AI” when looking at funding. And that distinction is… hard.
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So I guess my question is (sorry this is so rambly, nuance is hard!!)… how would you as an ethical open source project with diverse interests and a community of users with strong feelings around “AI” approach this?
I almost feel like we need to distinguish the current generative AI hype from ML-powered features when it comes to public communication—but *also* lean into “AI” when looking at funding. And that distinction is… hard.
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Like it or not—and I absolutely *hate* it—“AI” is where the hype is now. I don’t want to play into it. I think “generative AI” is extraordinarily overblown, problematic, and burning an immeasurable amount of resources. So let’s not do _that_.
But if you could secure a grant to “integrate helpful, privacy-respecting AI features” into GNOME… wouldn’t you? To be clear, this would include the features I mentioned earlier—not generative AI.
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Like it or not—and I absolutely *hate* it—“AI” is where the hype is now. I don’t want to play into it. I think “generative AI” is extraordinarily overblown, problematic, and burning an immeasurable amount of resources. So let’s not do _that_.
But if you could secure a grant to “integrate helpful, privacy-respecting AI features” into GNOME… wouldn’t you? To be clear, this would include the features I mentioned earlier—not generative AI.
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Like it or not—and I absolutely *hate* it—“AI” is where the hype is now. I don’t want to play into it. I think “generative AI” is extraordinarily overblown, problematic, and burning an immeasurable amount of resources. So let’s not do _that_.
But if you could secure a grant to “integrate helpful, privacy-respecting AI features” into GNOME… wouldn’t you? To be clear, this would include the features I mentioned earlier—not generative AI.
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Like it or not—and I absolutely *hate* it—“AI” is where the hype is now. I don’t want to play into it. I think “generative AI” is extraordinarily overblown, problematic, and burning an immeasurable amount of resources. So let’s not do _that_.
But if you could secure a grant to “integrate helpful, privacy-respecting AI features” into GNOME… wouldn’t you? To be clear, this would include the features I mentioned earlier—not generative AI.
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Like it or not—and I absolutely *hate* it—“AI” is where the hype is now. I don’t want to play into it. I think “generative AI” is extraordinarily overblown, problematic, and burning an immeasurable amount of resources. So let’s not do _that_.
But if you could secure a grant to “integrate helpful, privacy-respecting AI features” into GNOME… wouldn’t you? To be clear, this would include the features I mentioned earlier—not generative AI.
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So… how does that attract funding so that we can invest in the platform as a whole, making _everything_ (not just these hypothetical ML-powered improvements) better—funding that could be put towards continuing to improve accessibility, developer APIs, research and user testing, and features that our users care about?
Well, you kind of have to pitch it as AI. 😬️ Let me explain.
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So… how does that attract funding so that we can invest in the platform as a whole, making _everything_ (not just these hypothetical ML-powered improvements) better—funding that could be put towards continuing to improve accessibility, developer APIs, research and user testing, and features that our users care about?
Well, you kind of have to pitch it as AI. 😬️ Let me explain.
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So… how does that attract funding so that we can invest in the platform as a whole, making _everything_ (not just these hypothetical ML-powered improvements) better—funding that could be put towards continuing to improve accessibility, developer APIs, research and user testing, and features that our users care about?
Well, you kind of have to pitch it as AI. 😬️ Let me explain.
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So… how does that attract funding so that we can invest in the platform as a whole, making _everything_ (not just these hypothetical ML-powered improvements) better—funding that could be put towards continuing to improve accessibility, developer APIs, research and user testing, and features that our users care about?
Well, you kind of have to pitch it as AI. 😬️ Let me explain.
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So… how does that attract funding so that we can invest in the platform as a whole, making _everything_ (not just these hypothetical ML-powered improvements) better—funding that could be put towards continuing to improve accessibility, developer APIs, research and user testing, and features that our users care about?
Well, you kind of have to pitch it as AI. 😬️ Let me explain.
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For example: object recognition in the Image Viewer app to remove backgrounds; algorithmically improved camera quality in video calls; autocorrect! These are all areas that use ML algorithms on other platforms, and I don’t think that’s bad; you take a bunch of data, train an algorithm, then ship that in the OS/GNOME/etc. to be genuinely helpful.
First, we can get on board with *that*, right? Personally, I don’t consider that “AI,” even.
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For example: object recognition in the Image Viewer app to remove backgrounds; algorithmically improved camera quality in video calls; autocorrect! These are all areas that use ML algorithms on other platforms, and I don’t think that’s bad; you take a bunch of data, train an algorithm, then ship that in the OS/GNOME/etc. to be genuinely helpful.
First, we can get on board with *that*, right? Personally, I don’t consider that “AI,” even.
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For example: object recognition in the Image Viewer app to remove backgrounds; algorithmically improved camera quality in video calls; autocorrect! These are all areas that use ML algorithms on other platforms, and I don’t think that’s bad; you take a bunch of data, train an algorithm, then ship that in the OS/GNOME/etc. to be genuinely helpful.
First, we can get on board with *that*, right? Personally, I don’t consider that “AI,” even.
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For example: object recognition in the Image Viewer app to remove backgrounds; algorithmically improved camera quality in video calls; autocorrect! These are all areas that use ML algorithms on other platforms, and I don’t think that’s bad; you take a bunch of data, train an algorithm, then ship that in the OS/GNOME/etc. to be genuinely helpful.
First, we can get on board with *that*, right? Personally, I don’t consider that “AI,” even.
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For example: object recognition in the Image Viewer app to remove backgrounds; algorithmically improved camera quality in video calls; autocorrect! These are all areas that use ML algorithms on other platforms, and I don’t think that’s bad; you take a bunch of data, train an algorithm, then ship that in the OS/GNOME/etc. to be genuinely helpful.
First, we can get on board with *that*, right? Personally, I don’t consider that “AI,” even.
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My gut reaction—and judging by the room, the reaction of others—was “hell naw.” But then the person clarified, and I understood what they were actually saying. And I think it *mostly* jives with my thoughts around “AI.”
The suggestion, as best I can describe it, was that there are a lot of opportunities for genuinely useful, responsible, offline, machine-learning-powered improvements to a platform like GNOME.