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#mathlib — Public Fediverse posts

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

  1. @yoginho Perhaps not exactly the kind of "controlled labels" you are looking for, but here are some recent developments I've seen:

    * the developer/maintainer of #syncthing is using the label "ai-slop" when rejecting certain PRs: github.com/syncthing/syncthing

    * #mathlib uses the less emotionally charged label "LLM-generated": github.com/leanprover-communit

    * Here's an attempt at a more subtle spectrum of labels: visidata.org/blog/2026/ai/#sel

    * Lots of git commit messages ending in "Co-Authored-By: Claude ..." that's a pretty clear label and many coders now appear to be very happy to self-label with that.

    * IMO the #podman AI policy is very sensible: github.com/containers/podman/b
    The key terms (kind of labels) are not about whether an LLM was used but about readability, simplicity, conciseness, communication, understanding, and responsibility.

  2. @yoginho Perhaps not exactly the kind of "controlled labels" you are looking for, but here are some recent developments I've seen:

    * the developer/maintainer of #syncthing is using the label "ai-slop" when rejecting certain PRs: github.com/syncthing/syncthing

    * #mathlib uses the less emotionally charged label "LLM-generated": github.com/leanprover-communit

    * Here's an attempt at a more subtle spectrum of labels: visidata.org/blog/2026/ai/#sel

    * Lots of git commit messages ending in "Co-Authored-By: Claude ..." that's a pretty clear label and many coders now appear to be very happy to self-label with that.

    * IMO the #podman AI policy is very sensible: github.com/containers/podman/b
    The key terms (kind of labels) are not about whether an LLM was used but about readability, simplicity, conciseness, communication, understanding, and responsibility.

  3. @yoginho Perhaps not exactly the kind of "controlled labels" you are looking for, but here are some recent developments I've seen:

    * the developer/maintainer of #syncthing is using the label "ai-slop" when rejecting certain PRs: github.com/syncthing/syncthing

    * #mathlib uses the less emotionally charged label "LLM-generated": github.com/leanprover-communit

    * Here's an attempt at a more subtle spectrum of labels: visidata.org/blog/2026/ai/#sel

    * Lots of git commit messages ending in "Co-Authored-By: Claude ..." that's a pretty clear label and many coders now appear to be very happy to self-label with that.

    * IMO the #podman AI policy is very sensible: github.com/containers/podman/b
    The key terms (kind of labels) are not about whether an LLM was used but about readability, simplicity, conciseness, communication, understanding, and responsibility.

  4. @yoginho Perhaps not exactly the kind of "controlled labels" you are looking for, but here are some recent developments I've seen:

    * the developer/maintainer of #syncthing is using the label "ai-slop" when rejecting certain PRs: github.com/syncthing/syncthing

    * #mathlib uses the less emotionally charged label "LLM-generated": github.com/leanprover-communit

    * Here's an attempt at a more subtle spectrum of labels: visidata.org/blog/2026/ai/#sel

    * Lots of git commit messages ending in "Co-Authored-By: Claude ..." that's a pretty clear label and many coders now appear to be very happy to self-label with that.

    * IMO the #podman AI policy is very sensible: github.com/containers/podman/b
    The key terms (kind of labels) are not about whether an LLM was used but about readability, simplicity, conciseness, communication, understanding, and responsibility.

  5. @yoginho Perhaps not exactly the kind of "controlled labels" you are looking for, but here are some recent developments I've seen:

    * the developer/maintainer of #syncthing is using the label "ai-slop" when rejecting certain PRs: github.com/syncthing/syncthing

    * #mathlib uses the less emotionally charged label "LLM-generated": github.com/leanprover-communit

    * Here's an attempt at a more subtle spectrum of labels: visidata.org/blog/2026/ai/#sel

    * Lots of git commit messages ending in "Co-Authored-By: Claude ..." that's a pretty clear label and many coders now appear to be very happy to self-label with that.

    * IMO the #podman AI policy is very sensible: github.com/containers/podman/b
    The key terms (kind of labels) are not about whether an LLM was used but about readability, simplicity, conciseness, communication, understanding, and responsibility.

  6. So, just double-checking how #Lean4 and #Mathlib work:

    * Lean takes 3GiB of RAM and a minute to open Mathlib
    * Lean requires about 10min to build itself in CI, only verifying required theorems
    * Verifying all of Mathlib is measured in hours
    * Lean's kernel is untrustworthy due to junk theorems

    And yet I'm a clown for using #Metamath? At some point we ought to reconsider the type-theory fetish.

  7. So, just double-checking how #Lean4 and #Mathlib work:

    * Lean takes 3GiB of RAM and a minute to open Mathlib
    * Lean requires about 10min to build itself in CI, only verifying required theorems
    * Verifying all of Mathlib is measured in hours
    * Lean's kernel is untrustworthy due to junk theorems

    And yet I'm a clown for using #Metamath? At some point we ought to reconsider the type-theory fetish.

  8. So, just double-checking how #Lean4 and #Mathlib work:

    * Lean takes 3GiB of RAM and a minute to open Mathlib
    * Lean requires about 10min to build itself in CI, only verifying required theorems
    * Verifying all of Mathlib is measured in hours
    * Lean's kernel is untrustworthy due to junk theorems

    And yet I'm a clown for using #Metamath? At some point we ought to reconsider the type-theory fetish.

  9. So, just double-checking how #Lean4 and #Mathlib work:

    * Lean takes 3GiB of RAM and a minute to open Mathlib
    * Lean requires about 10min to build itself in CI, only verifying required theorems
    * Verifying all of Mathlib is measured in hours
    * Lean's kernel is untrustworthy due to junk theorems

    And yet I'm a clown for using #Metamath? At some point we ought to reconsider the type-theory fetish.

  10. The next bi-monthly #Mathlib community meeting is tomorrow Friday, 13th at 3pm UTC. Join to hear about ongoing #LeanLang formalization projects and connect with other contributors!

    ➡️ See all upcoming community events on our website: lean-lang.org/community/#events

  11. The next bi-monthly #Mathlib community meeting is tomorrow Friday, 13th at 3pm UTC. Join to hear about ongoing #LeanLang formalization projects and connect with other contributors!

    ➡️ See all upcoming community events on our website: lean-lang.org/community/#events

  12. The next bi-monthly #Mathlib community meeting is tomorrow Friday, 13th at 3pm UTC. Join to hear about ongoing #LeanLang formalization projects and connect with other contributors!

    ➡️ See all upcoming community events on our website: lean-lang.org/community/#events

  13. The next bi-monthly #Mathlib community meeting is tomorrow Friday, 13th at 3pm UTC. Join to hear about ongoing #LeanLang formalization projects and connect with other contributors!

    ➡️ See all upcoming community events on our website: lean-lang.org/community/#events

  14. The next bi-monthly #Mathlib community meeting is tomorrow Friday, 13th at 3pm UTC. Join to hear about ongoing #LeanLang formalization projects and connect with other contributors!

    ➡️ See all upcoming community events on our website: lean-lang.org/community/#events

  15. "Mathlib has reached 2 million lines of code as of October 28. Thanks to everyone that contributed to Mathlib during the roughly 8 years of Mathlib's existence!"

    leanprover.zulipchat.com/#narr

    #leanprover #mathlib

  16. "Mathlib has reached 2 million lines of code as of October 28. Thanks to everyone that contributed to Mathlib during the roughly 8 years of Mathlib's existence!"

    leanprover.zulipchat.com/#narr

    #leanprover #mathlib

  17. "Mathlib has reached 2 million lines of code as of October 28. Thanks to everyone that contributed to Mathlib during the roughly 8 years of Mathlib's existence!"

    leanprover.zulipchat.com/#narr

    #leanprover #mathlib

  18. "Mathlib has reached 2 million lines of code as of October 28. Thanks to everyone that contributed to Mathlib during the roughly 8 years of Mathlib's existence!"

    leanprover.zulipchat.com/#narr

    #leanprover #mathlib

  19. "Mathlib has reached 2 million lines of code as of October 28. Thanks to everyone that contributed to Mathlib during the roughly 8 years of Mathlib's existence!"

    leanprover.zulipchat.com/#narr

    #leanprover #mathlib

  20. Growing Mathlib: Maintenance of a large scale mathematical library. ~ Anne Baanen, Matthew Robert Ballard, Johan Commelin, Bryan Gin-ge Chen, Michael Rothgang, Damiano Testa. arxiv.org/abs/2508.21593 #ITP #LeanProver #Mathlib #Math

  21. Growing Mathlib: Maintenance of a large scale mathematical library. ~ Anne Baanen, Matthew Robert Ballard, Johan Commelin, Bryan Gin-ge Chen, Michael Rothgang, Damiano Testa. arxiv.org/abs/2508.21593 #ITP #LeanProver #Mathlib #Math

  22. Growing Mathlib: Maintenance of a large scale mathematical library. ~ Anne Baanen, Matthew Robert Ballard, Johan Commelin, Bryan Gin-ge Chen, Michael Rothgang, Damiano Testa. arxiv.org/abs/2508.21593 #ITP #LeanProver #Mathlib #Math

  23. Growing Mathlib: Maintenance of a large scale mathematical library. ~ Anne Baanen, Matthew Robert Ballard, Johan Commelin, Bryan Gin-ge Chen, Michael Rothgang, Damiano Testa. arxiv.org/abs/2508.21593 #ITP #LeanProver #Mathlib #Math

  24. Growing Mathlib: Maintenance of a large scale mathematical library. ~ Anne Baanen, Matthew Robert Ballard, Johan Commelin, Bryan Gin-ge Chen, Michael Rothgang, Damiano Testa. arxiv.org/abs/2508.21593 #ITP #LeanProver #Mathlib #Math

  25. Yapay zeka, büyük veri setlerini analiz etmekten karmaşık simülasyonlar oluşturmaya kadar, hesaplamalı matematiğin ağır işlerini üstlenerek büyük bir güç haline geldi. Şu an itibarıyla, YZ genellikle kendisine verilen ispatları adım adım doğrulayabiliyor; ancak nihai kararı ve en yaratıcı kanıt yöntemlerinin keşfini hâlâ insan zekasına bırakıyor.
    Peki ya bu denge değişirse?
    #YapayZeka #Matematik #AlphaProof #Lean #mathlib #DeepMind #YaşamOyunu
    youtu.be/ZERkY5kExjI
    monologblg.com/matematik-sadec