OS runtime unifying GA4, PostHog, + Stripe into a local db Discussion | Link

Anthropic's popularity with business users is growing so well that the latest beef with the government might actually boost it, data from Ramp suggests.

NAACP lawsuit says xAI uses gas turbines without permits for Grok data center.

Partner tells Ars that HPE should be giving out more free VM Essentials licenses.

In the coming weeks, Apple will move anonymously generated emails addresses to a different domain.

Powerful computer built into lightweight see-through glasses Discussion | Link

The funny-sounding name offers new insights into galaxy formation.

Introduction Dans le cadre de mon apprentissage des pratiques DevOps modernes, j’ai conçu et implémenté un pipeline CI/CD (Continuous Integration / Continuous Deployment) capable de déployer automatiquement une application web frontend sur deux environnements de production distincts : Vercel et GitHub Pages . Cette mission constitue une application concrète des concepts fondamentaux du DevOps, notamment l’automatisation des processus, la réduction des interventions manuelles et la mise en place d’une chaîne de livraison logicielle fiable et reproductible. Tableau comparatif des plateformes Dans ce projet, le déploiement sur les deux plateformes n’est pas un doublon mais une démarche pédagogique et technique délibérée permettant de tester la flexibilité de l'orchestrateur. Voici comment elles se comparent : Critère GitHub Pages Vercel Hébergement Statique uniquement Statique + SSR + Serverless Domaine gratuit username.github.io projet.vercel.app CI/CD intégré Via GitHub Actions Natif + GitHub Actions Performance Bonne Excellente (Edge Network) Previews PR Non Oui (automatique) Gratuit Oui (illimité) Oui (avec limites) Cas d’usage Portfolios, docs Apps React/Next.js, SaaS ⚠️ Le problème du double déploiement : Laisser Vercel en mode automatique génère un conflit critique avec GitHub Actions. Pour éviter que deux builds s'exécutent en parallèle, j'ai désactivé le déploiement natif de Vercel en ajoutant un fichier vercel.json à la racine contenant "git": { "deploymentEnabled": false } . Le pipeline complet — deploy.yml Voici le code source du fichier de configuration de l'orchestrateur GitHub Actions ( .github/workflows/deploy.yml ). Ce script gère séquentiellement l'installation, le build et la publication vers nos deux cibles : name : CI/CD -- Deploy to Vercel & GitHub Pages # Declenchement : uniquement sur push vers main on : push : branches : - main jobs : build-and-deploy : runs-on : ubuntu-latest permissions : contents : write steps : # Etape 1 : Recuperer le code

Transferring genes across species doesn't just happen in microbes.

There is a comparison that the artificial intelligence industry had kept out of the public conversation until now. Satya Nadella brought it up this Sunday in a post on X that garnered over a thousand responses in just a few hours. The metaphor he used is "industrial offshoring" . Just as the first wave of globalization hollowed out industrial economies, wiping out factory jobs and decades of competitive advantage with consequences we still feel today, artificial intelligence threatens to do the same to corporate knowledge. The Silent Drain of Expertise The mechanism Nadella describes is concrete. If an organization hands over its workflows, its domain knowledge, and the accumulated judgment of its teams to external AI models, those models absorb it. What was once a unique advantage, now could become a generic capability available to everyone. There are no layoffs or plant closures. The hollowing out happens silently, in every usage cycle, in every operation the model records and leverages. Where there was once exclusive know-how, there is now a standard resource. "You can outsource a task, or even a job. But you can never outsource the learning." Microsoft CEO Warns That AI Winners Could Hollow 'Entire Industries' - Business Insider AI models are hoovering up corporate knowledge, and that's leaving one big loser, says Satya Nadella. businessinsider.com The Invisible Asset / The Identity This warning is not directed at employees but at executives. The risk Nadella identifies is not the loss of an individual position, but the erosion of the organisation's collective intellectual property, its processes, and the judgment a team spends years building. To name this, he introduces a term that was not in the business management vocabulary until now: "Token Capital" . This represents the layer of agentic capability that a firm builds and owns when it connects its real workflows with the AI models it uses. It is not software or a database. It is a system that learns with eve