Tootfinder

Not often the new stack writes anything coherent these days.
https://thenewstack.io/put-a-fork-in-it-the-future-of-open-source-thats-done/

Free artificial intelligence technology released by Chinese tech companies appears to be more powerful and popular than that developed by American rivals
https://www.washingtonpost.com/technology/2025/10/13/china-us-open-source-ai/

Analysis | China leads the U.S. on this measure of technological influence
China’s open AI models are now more powerful and popular than those released by American rivals, a shift with implications for the future of technology.

Really nice interview:
https://github.blog/open-source/maintainers/building-beyond-the-browser-keeley-hammond-on-electron-open-source-and-the-future-of-maintainership/
I chose Ele…

Building beyond the browser: Keeley Hammond on Electron, open source, and the future of maintainership
Learn what it really takes to sustain one of the web’s most widely used frameworks on this episode of the GitHub Podcast.

Making Sense of Open-Source: Ideals, Reality, and What's on the Horizon
Hosted by the Sensemaking Scenius and featuring @erlend.sh, an online video gathering Dec 3rd
https://smokesignal.events/did:plc:ad5bwszsc5m5jpj2sfa6uzjk/3m62suufa7y2j

Thank you, Meta, for stepping up as a Gold Sponsor of SCaLE 23x! Your support drives the future of open source in our community. Excited to see everyone in Pasadena, CA from March 5-8, 2026! Discover more at: https://www.metacareers.com/areas-of-work/pe/

for whatever I do in the future as open source I'll use "woke" as name for the main branch
like seriously, if you run an open source project, consider inclusive branch names, including ones that make fun of fucking nazis

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…