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Wikidata dépassait déjà 1,5 milliard de triplets sémantiques à la mi-2024 (sujet, prédicat, objet)
Un élément sur Wikidata est accepté s'il remplit au moins un de ces trois critères:
- il possède un lien valide vers une page d'un projet wikimedia.
- il désigne une entité clairement identifiable, matérielle ou conceptuelle, qui peut être ecrite à l'aide de sources sérieuses et publiquement accessible.
- il répond à un besoin structurel
Créer des éléments est sujet à débat. Compléter est en revanche plus accessible.
Wikidata est sans doute l'un des projets les plus sous-estimés de la galaxie Wikimedia. Invisible pour le grand public, il est pourtant devenu une couche d'infrastructure essentielle : il structure la connaissance, alimente les moteurs de recherche et nourrit les modèles de langage. Pour quiconque travaille la visibilité de ses contenus à l'ère de l'IA, comprendre Wikidata n'est plus une curiosité d'érudit, c'est un sujet de fond.
Note: In SQLite rowid tables are implemented as B+-Trees where all content is stored in the leaves of the tree, whereas WITHOUT ROWID tables are implemented using ordinary B-Trees with content stored on both leaves and intermediate nodes.
UUIDs take 5 to 16x times slower to insert. UUID without row id in SQLite are only 2 to 3 times slower.
Not random insertion is also useful to write in a database efficiently.
The source code is now available at https://github.com/ARCEP-dev/Mon-Reseau-Mobile-v2
« Mon réseau mobile » permet de comparer les performances des opérateurs mobiles en matière de couverture (services : "Appels et SMS" et "Internet mobile") et de qualité de service dans son lieu de vie comme dans les transports, en France métropolitaine et en Outre-mer.
L'article relate la gestion des bots d'IA: ils sont devenus un enfer depuis quelques temps.
Un site web ne se résume pas à des fichiers statiques : beaucoup de pages HTML sont générées dynamiquement par des CMS ou frameworks comme WordPress, Symfony ou Python. Chaque visite peut donc consommer du CPU, de la RAM, des accès base de données et de la bande passante. Quand des visites massives ou illégitimes arrivent, elles peuvent ralentir les sites des clients hébergés.
Jusqu’en 2023, les principaux robots étaient surtout des crawlers classiques comme Googlebot ou Bingbot. Certains bots mal réglés, comme Ahrefsbot, pouvaient poser problème, mais ils étaient généralement identifiables et blocables. Certains crawlaient très mal, visitant des milliers de sous-pages inutiles ou coûteuses, contournant les caches et saturant CPU/RAM.
Au début, la défense consistait à bloquer les bots via leur User-Agent, c’est-à-dire le nom qu’ils déclarent lorsqu’ils visitent un site.
Ensuite, certains bots ont commencé à se cacher derrière de faux User-Agent, en se faisant passer pour de vieux navigateurs ou appareils obsolètes. La stratégie de blocage consiste à interdire certaines plages IP de prestataires clairement identifiés et à bloquer certains navigateurs improbables ou représentant quasiment 0 % du trafic réel.
Cela demande du temps d’ingénieur, consomme des ressources serveur, de la bande passante, use les machines, et augmente donc les coûts continuellement.
Dernièrement en 2025, les bots ont commencé à avoir des IPs résidentielles et des User-Agent crédibles. Octopuce cite le cas d'un crawler sauvage utilisant 1,3 million d’adresses IP distinctes en deux semaines, dont 950 000 n’ont fait qu’une seule requête. Ces nouveaux crawls utiliseraient des téléphones Android via des applications douteuses permettant de monétiser la bande passante des utilisateurs. Cette méthode est illégitime et sûrement illégale.
Octopuce conclut sur l'utilisation d'Anubis comme parade partielle, mais aucune solution n'existe actuellement. Ce coût de l'IA n'est pas prise en compte dans le bilan environnemental réel des services d’IA.
En 2014, un bulletin météo imaginaire avait été crée pour 2050. À un degré près, nous arrivons déjà à ce bulletin météo en juin 2026.
He's getting the F out of here
The idea is to die young as late as possible
une erreur de communication
Distributing Rust crates via git URLs instead of crates.io
Une alternative à SNCF Connect qui accepte deux cartes de réductions (celle TGV pour une grande ligne avec une régionale TER sur un même voyage par exemple).
A way to create demo from UI components: create video in the browser directly, so the recordings can be changed, replayed or its speed can be updated.
The reason I will never go back: it is code, so it is repeatable. A stat is wrong? Change a number and rerun. A beat feels rushed? Nudge one timestamp. Want the same demo for four different products? Loop over four pages and render them all while you make coffee. There is no take to redo and no quality lost to another export.
It seems what the UI does can be a browser extension.
Animations should be OK for each frame
First of all, this essay is researched and argued. There are many sources accross the texts.
Landgon Winner wrote an essay
- the technology is designed to have certain political effects
- the technology is inherently political
Technologies and machines tend to profeit. For example, the mechanical tomato harvester by UC Davis in the 1950s.
Once the technology arrives and becomes entrenched, the conversation gets reframed as one of technological inevitabilism vs. anachronism, and dissent is discouraged. [...] The adaptation of social life to technical requiremetns pop up spontaneously.
Liberal democracy is sustainable as long as "the balance of power of democracy is premised on the average person having leverage through creating economic value. If that's not present, I think things become kind of scary."
In practice, certain people in a capitalist liberal democracy tend to get increasingly rich. Absent countermeasures, the wealthy gain control of the political apparatus, thwarting liberal-democratic norms.
The synthesis might be: as more wealth becomes concentrated in the hands of fewer citizens, liberal democracy weakens, because whichever citizens are losing economic relevance will also lose political relevance.
The AI story is a fallacy: the sci-fi discourse is optimized for cinematic impact instead of real daily life changes.
Moreover the paperclip maximizer experiment of Nick Bostrom shows AI has unintended side-effects.
The West was won by AI because we balance water supply between the population and AI. Water is a biological necessity; AI is not.
Another point is laber replacement. Every CEO is outdoing the next in predicting that AI will replace human labor, which will lead to waves of unemployment.
Capital markets are laready pricing as if AI companies will have the perfect scenarios.
Software programmers, highly paid writers and lawyers are all work with high costs that can be automated.
Zitron has characterized the AI market so far as a blinkered conversation between AI executives and trad executives, all of whom “have little idea what work looks like”.
Many CEOs and billionaires argued AI will create an abundance of goods and services. Really?
The persistent lack of detail signals that these billionaires have no idea how, exactly, AI will accomplish this.
Even if the labor comes down to 0$, resources, enegery and raw materials have a cost. Another contradiction is "Big AI’s promises of world-historical goodies for consumers and world-historical profits for shareholders may be incompatible".
To improve public acceptance, AI has so far emphasized their fun consumer-facing porducts: generating an image or writing a story. In the goodies economy, as citizens lose independence as economic actors, they will also lose independence as political actors. They will be captured by industry.
Tangible assets are the opposite—bricks, mortar, inventory, and so forth. According to the WIPO, since 1995 global investment in intangible assets has steadily increased, and since 2009 has exceeded that of tangible assets. By wide margin, the US leads investment in intangible assets.
If you think about it, it's crazy. It's even more crazy to see the productivity growth compared to the hourly compensation growth: https://www.epi.org/publication/charting-wage-stagnation/#:~:text=Figure%202
“Technology always makes certain jobs obsolete; new ones will arise.” AI’s predicted labor replacement is unprecedented in three ways: the diversity of tasks replaced; its outsize effect on highly educated workers; and the backdrop of 50 years of wage stagnation.
If an AI can replace the output of a company, then every company with an AI can do so.
Currently certain legal-AI startups license LLMs from Big AI and repackage them for Big Law at high prices. These startups claim to add other special sauce. OK, sure. Where’s the economic equilibrium? If legal-AI startups prove that money can be made selling AI to Big Law—won’t Big AI just sell to Big Law directly, and cut out the startups?
By the process described above: Big AI essentially uses its tech customers as an R&D facility.
As AI makes it harder for workers to capture value from their labor, they will increasingly have to rely on goodies from Big AI, privatizing what were once functions of government. If Big AI subsumes the functions of workers and government, both will tend to realign politically around Big AI’s interests. [...] AI-centered capitalism risks an extinction of democratic possibility
Well, a way to get a usable file explorer in windows. It's crazy Microsoft doesn't improve the file explorer and let some projects take over their own software.