Es ist erstaunlich, wie schnell die Zeit vergeht – seit der Veröffentlichung der neuesten DINI-Thesen sind fast anderthalb Jahre vergangen. Vieles hat sich seitdem verändert und weiterentwickelt. In diesem Blogbeitrag werfen wir einen Blick zurück, aber noch wichtiger, wir schauen nach vorne. Wir initiieren eine Beitragsreihe, die sich mit den verschiedenen thematischen Thesen-Bereichen auseinandersetzen wird.

Mauricio Marchionni Urzay DR © Obra de bajorrelieve en telgopor (70 x 50 cm) Mendoza, Argentina. Junio de 2022 Redes del artista Instagram Esta es una reproducción digital, con fines de divulgación, de una obra original, todos los derechos de autor y reproducción están reservados por el artista.

One of the great privileges of astronomy is that there’s always something new and surprising to discover. It’s a big universe. There’s a lot in it. In appreciation of this simple joy, I thought I’d share a nifty discovery made by the Rubin Observatory*. This is a big ground-based telescope with an absolutely mammoth camera that is conducting a decade-long survey to unprecedented depth. It basically images the sky over and over again every night.

Since helping with the OxCaml tutorial last year at ICFP, I've been chomping at the bit to use it for real in our research infrastructure for planetary computing to manage the petabytes of TESSERA embeddings we've been generating. The reason for my eagerness is that OxCaml has a number of language extensions that give giant leaps in performance for systems-oriented programs, while retaining the familiar OCaml functional style of programming.

AI search tools aren't "agreeing" with users—they are retrieval systems. Confusing the two is a category error that obscures the real risks.

A preprint reporting results from an experiment conducted by Anthropic on the impact of AI assistance on coding skills is making the rounds. The Anthropic website writes: “participants in the AI group finished about two minutes faster, although the difference was not statistically significant.

Research from scientists at Anthropic suggests productivity gains come at the cost of skill development.

The work of Reda Sadki offers a provocative, often counter-intuitive critique of how we learn, lead, and solve complex problems. Here are five surprising insights from his body of work.

Reda Sadki’s writing explores how systems of learning matter when tackling complex challenges across global health, humanitarian aid, and education. Over twelve years of articles on his blog, he has built a cohesive argument for why our current systems of learning are broken and how we might fix them.

The Public Knowledge Project is pleased to announce the appointment of Teresa Lee as its new Managing Director, effective February 2nd, 2026. Teresa will guide PKP into its next chapter while continuing the solid foundation established by the community, partners, and team members who make PKP’s work possible.

A guest post by Karen Sarkisyan