The links and conversations circulating in these chats amount to an ongoing, personalized curation — a feed shaped not by tech companies but by people I trust.

"Trust is peer-to-peer, not platform-based"
"Contrary to the popular narrative, media literacy isn’t dead — it just looks different. Concepts like “source layering” or “context collapse” aren’t theoretical to us, they play out in real time. "

The author alternates between the Mastodon instance Fosstodon and micro.blog.

A modal is a small view in the window: this view makes the rest of the content inert.

Il n'y a aucun remplacement

Toute réduc­tion est bonne à prendre. Toute augmen­ta­tion bonne à chas­ser. L’une ne remplace pas l’autre.

Mais aussi, si on se foca­lise sur trop de choses inutiles ou insi­gni­fiantes, on n’aura rien en résul­tat.

On peut comparer les mesures de réduction de consommation de ressources selon leurs ordres de grandeur.

Les grandes lignes restent: l'alimentation; réduire l'empreinte du transport (motorisé et aviation); la consommation jetable et le renouvellement rapide; le chauffage et la climatisation.

"presence" is optional online, unless we actively act for it.

The digital world is the opposite. Space and time are optional. There we cannot be perceived unless we send information. Only when we send data, like messages, photos or our webcam video feed to the internet, others will be able to perceive traces of us.

One of the best applications of modern LLM-based AI is surfacing answers from the chaos of the internet. Its success can be partly attributed to our failure to build systems that organize information well in the first place.

Remember Semantic Web? The web was supposed to evolve into semantically structured, linked, machine-readable data that would enable amazing opportunities. That never happened.

The knowledge of the Internet were structured with rich semantic linking, then very primitive algorithms could parse them.

C’est la part des richesses appor­tée à chacun qu’il faut sauve­gar­der, pas le travail.

Le problème n’est pas que l’au­to­ma­ti­sa­tion retire du travail, ni même qu’on manque de richesses. Le problème c’est que l’au­to­ma­ti­sa­tion du travail modi­fie la répar­ti­tion des richesses (vers une plus grande concen­tra­tion).

Le problème n’est pas que l’au­to­ma­ti­sa­tion retire du travail, ni même qu’on manque de richesses. Le problème c’est que l’au­to­ma­ti­sa­tion du travail modi­fie la répar­ti­tion des richesses (vers une plus grande concen­tra­tion).

La société actuelle tend rester elle-même au lieu de s'adapter à cette automatisation des tâches qui libère du travail.

While copying the code, the right abstraction reveals itself.

If you start too early, you might end up with a bad abstraction that doesn’t fit the problem. You know it’s wrong because it feels clunky. Some typical symptoms include:

Removing a wrong abstraction is hard work.

Clean up afterwards :)

I totally agree.

1. When there is more than one text directionality
2. When the respective expression would be shorter than the non-logical equivalent.

The second point is healthy for every project.

En prenant pour exemple, https://www.smithsonianmag.com/smart-news/google-just-released-an-ai-tool-that-helps-historians-fill-in-missing-words-in-ancient-roman-inscriptions-180987046/

Le problème de présenter un nouvel outil sans faire aucune remise en contexte, c'est que cela donne l'impression d'un pas de géant dans le domaine impulsé par une entreprise qui n'a rien à voir avec ce domaine (Google) et qui débarquerait d'un coup avec une solution magique

On peut s'amuser à faire un peu de rétro-engineering sur la façon dont cet outil de Google fonctionne. En fait, il s'agit essentiellement d'une grosse base de données, que l'IA rend capable d'émettre des hypothèses plus rapidement.

Based on my interviews, it became clear that the students’ goal was less about reducing overall effort than it was about reducing the maximum cognitive strain required to produce prose.

[...] the Brain-only group suggests that writing without assistance most likely induced greater internally driven processing…their brains likely engaged in more internal brainstorming and semantic retrieval.

There is indeed some concerns cited by the MIT paper: reduce students' ability to retain and recall information; bypass the process of synthesizing information from memory, promote a form of metacognitive laziness and avoid the intellectual effort.

What bad patterns are encouraged by design in Rust?

• complicated types
• complicated macro
• premature optimizations with lifetimes among others

Strip away the branding and it’s embarrassingly simple. Agile is:

• Just enough structure to let teams deliver good software quickly
• A way to shorten feedback loops so you stop building the wrong thing
• A way to change direction without needing a three-month steering committee

When it works:

• Developers talking—constantly, and not just during standups
• Pair programming when it helps, not when the process says so
• Teams who own the product, including how it behaves in production
• Enough time to write proper tests and refactor without begging
• Everyone knowing what the goal is and why it matters
• A calm, steady pace—not a death march disguised as a “sprint”
• Monitoring and alerting built into the work, not bolted on later

But for now, just know this: if Agile feels exhausting, it’s not Agile. It’s cosplay.

(via https://lehollandaisvolant.net/?id=20250625054126)

C’est une leçon à retenir : innover pour innover, ça ne sert à rien. Tout retourner une façon de faire simplement pour laisser sa marque, c’est idiot et contreproductif une partie du temps (maintenant allez faire comprendre ça aux exécutifs qui se succèdent dans une entreprise et font précisément tous ça).