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#mudcon — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mudcon, aggregated by home.social.

  1. 📣 MediaWiki users: your input is needed
    ➡️ Take the survey now:
    survey.knowledge.wiki/index.ph

    It focuses on usage outside the Wikimedia Foundation. Results will be presented at the in November:
    kmeducationhub.de/mediawiki-us

    Feel free to share 👍

  2. 📣 MediaWiki users: your input is needed
    ➡️ Take the survey now:
    survey.knowledge.wiki/index.ph

    It focuses on #MediaWiki usage outside the Wikimedia Foundation. Results will be presented at the #MUDCon in November:
    kmeducationhub.de/mediawiki-us

    Feel free to share 👍

  3. @wikidata Happy Birthday, little sister 😍🎂 Tom Arrow of @wikimediaDE has acutally brought us a cake to celebrate at the #MUDCon2025 #MUDCon #SMWCon #Wikidata

  4. @wikidata Happy Birthday, little sister 😍🎂 Tom Arrow of @wikimediaDE has acutally brought us a cake to celebrate at the #MUDCon2025 #MUDCon #SMWCon #Wikidata

  5. @wikidata Happy Birthday, little sister 😍🎂 Tom Arrow of @wikimediaDE has acutally brought us a cake to celebrate at the #MUDCon2025 #MUDCon #SMWCon #Wikidata

  6. @wikidata Happy Birthday, little sister 😍🎂 Tom Arrow of @wikimediaDE has acutally brought us a cake to celebrate at the #MUDCon2025 #MUDCon #SMWCon #Wikidata

  7. @wikidata Happy Birthday, little sister 😍🎂 Tom Arrow of @wikimediaDE has acutally brought us a cake to celebrate at the #MUDCon2025 #MUDCon #SMWCon #Wikidata

  8. At the 4th MediaWiki users & developers conference #MUDCon #SMWCon

  9. At the 4th MediaWiki users & developers conference #MUDCon #SMWCon

  10. At the 4th MediaWiki users & developers conference #MUDCon #SMWCon

  11. At the 4th MediaWiki users & developers conference #MUDCon #SMWCon

  12. At the 4th MediaWiki users & developers conference #MUDCon #SMWCon

  13. Remarkable statement from @SaharVahdati in her #MUDCon opening keynote. She reports from her team's work of developing multimodal models capable of solving simple puzzles, #HumanIQ respectively #NIMI (nature inspired machine intelligence, github.com/NIMI-research/Hybri)
    It's stats show that humans are still much better than current models. Sahar asks: and now imagine we would ask those models to solve the climate crisis?!
    See also mitpress.mit.edu/9780262049955
    Also, Sahar heavily refers to Kahneman's book.

  14. Remarkable statement from @SaharVahdati in her #MUDCon opening keynote. She reports from her team's work of developing multimodal models capable of solving simple puzzles, #HumanIQ respectively #NIMI (nature inspired machine intelligence, github.com/NIMI-research/Hybri)
    It's stats show that humans are still much better than current models. Sahar asks: and now imagine we would ask those models to solve the climate crisis?!
    See also mitpress.mit.edu/9780262049955
    Also, Sahar heavily refers to Kahneman's book.

  15. Remarkable statement from @SaharVahdati in her #MUDCon opening keynote. She reports from her team's work of developing multimodal models capable of solving simple puzzles, #HumanIQ respectively #NIMI (nature inspired machine intelligence, github.com/NIMI-research/Hybri)
    It's stats show that humans are still much better than current models. Sahar asks: and now imagine we would ask those models to solve the climate crisis?!
    See also mitpress.mit.edu/9780262049955
    Also, Sahar heavily refers to Kahneman's book.

  16. Remarkable statement from @SaharVahdati in her #MUDCon opening keynote. She reports from her team's work of developing multimodal models capable of solving simple puzzles, #HumanIQ respectively #NIMI (nature inspired machine intelligence, github.com/NIMI-research/Hybri)
    It's stats show that humans are still much better than current models. Sahar asks: and now imagine we would ask those models to solve the climate crisis?!
    See also mitpress.mit.edu/9780262049955
    Also, Sahar heavily refers to Kahneman's book.

  17. Remarkable statement from @SaharVahdati in her #MUDCon opening keynote. She reports from her team's work of developing multimodal models capable of solving simple puzzles, #HumanIQ respectively #NIMI (nature inspired machine intelligence, github.com/NIMI-research/Hybri)
    It's stats show that humans are still much better than current models. Sahar asks: and now imagine we would ask those models to solve the climate crisis?!
    See also mitpress.mit.edu/9780262049955
    Also, Sahar heavily refers to Kahneman's book.