– Les cartes : Leaflet
– L'API de cartographie : Google Earth Engine (c'est trop sous-coté, je vous jure, essayez si vous ne connaissez pas)
– Modèle fine-tuné : YOLOv8s
– Labellisation : custom tools en Node.js
– BDD : SQLite structuré, des dossiers sur mon ordi en non structuré
TOOLS
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YOLOv8s Fine-Tuning Workflow with Geospatial Data Pipeline
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AI image/video tools tighten filters during risky project
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Six months ago you could generate almost anything with AI image and video tools.
— God of Prompt (@godofprompt) 21 mai 2026
That window is closing fast.
A creator recently stress-tested Nano Banana Pro, Kling, and Seedance 2.0 on this RISKY video project.
Midway through production, Seedance 2.0 tightened its filters so… pic.twitter.com/09Tazae4eTSix months ago you could generate almost anything with AI image and video tools. That window is closing fast. A creator recently stress-tested Nano Banana Pro, Kling, and Seedance 2.0 on this RISKY video project. Midway through production, Seedance 2.0 tightened its filters so
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India Launches AIKosh Open AI Platform for Researchers and Startups
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AIKosh is India’s open AI platform designed to make datasets, models, tools, and compute resources more accessible for researchers, startups, developers, institutions, and public sector innovation. Built under the IndiaAI Mission, AIKosh brings together AI resources in one place
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Google I/O: Gemini Updates and AI-Powered Search Redesign
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Si vous l'avez raté, Google vient de faire sa plus grosse conférence IA de l'année : GOOGLE I/O Gemini 3.5, Gemini Omni, Gemini Spark. Antigravity 2.0 pour les développeurs. Des lunettes AR avec Samsung.
ET surtout, une refonte complète de Google Search. (gros changements pour -
Aphrodite with Exl3 supports TP, thank me later
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Aphrodite w/ Exl3 supports TP btw Thank me later 😉
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Making Local AI effortless eliminates subscription and API limit fears
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I am gonna make Local AI so easy people are gonna wonder why they were so worried about subscriptions and API limits
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Codex Cli Makes Local AI Effortless: Hardware, Model & Performance Optimization
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Local AI Is Now Easy With This Give Codex Cli the article below & tell it: – Infer the right Inference Engine from your hardware + article below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model See? SO EASY -
A Build-First Roadmap for Learning AI
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Most people are missing this about learning AI in 2026: You don’t need another 40-hour course. You need a build-first roadmap. The new AI learning stack looks like this: Learn prompting by solving real problems Use AI tools daily, not passively Build
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Free online bible for running LLMs locally on any hardware
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DROP EVERYTHING The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
– Long-context / MoE / routing
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