C'est pas les librairies qu'il fallait sauver, mais les auteurs. Maintenant il y a l'IA…
GENERATIVE AI
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Open Models Close Gap to Frontier in Eight Months
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From under 28% to above 50% in eight months on Terminal-Bench is a pace that's easy to miss when everyone's focused on frontier model releases. Open models closing the gap this fast changes the economics for a lot of production use cases.
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OpenSage: The First Self-Designing Agent Development Kit
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1/ Introducing OpenSage: the first AI-centric Agent Development Kit (ADK). Today's agents are designed by humans — fixed topologies, handcrafted tools, rigid memory. It's time for agents to design themselves. [Translated from EN to English]
→ View original post on X — @berkeley_ai, 2026-03-23 15:27 UTC
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Lakebridge AI Speeds Warehouse Migration with SQL Conversion
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We're making warehouse migrations faster and more predictable with Lakebridge’s latest AI-powered updates.
— Databricks (@databricks) 23 mars 2026
See what’s new:
➡️ Synapse support in the assessment profiling tool
➡️ AI-powered SQL conversion
➡️ A guided desktop app that brings assessment, code conversion, and… pic.twitter.com/5bOyTpiYe9We're making warehouse migrations faster and more predictable with Lakebridge’s latest AI-powered updates. See what’s new: Synapse support in the assessment profiling tool AI-powered SQL conversion A guided desktop app that brings assessment, code conversion, and
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AI Voice Agent Calls 3000 Irish Pubs Over St. Patrick’s Weekend
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AGI has been achieved in Ireland. Artificial Guinness Intelligence. Engineer Matt Cortland built an AI voice agent named Rachel, gave her a Northern Irish accent, and pointed her at every pub in the country. Over St. Paddy's weekend, she rang 3,000+ of them to ask one
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Claude Code adoption surpasses GPT-5 despite model capability
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The lack of a visible GPT-5 codex bump in the commit data while Claude Code keeps climbing is interesting. Suggests adoption might be more about workflow integration than raw model capability at this point.
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MM-Zero: Building Multimodal AI Systems From Scratch
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MM-Zero: Learning Multimodal Intelligence From Scratch
— Satya Mallick (@LearnOpenCV) 23 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.… pic.twitter.com/VvyLNn86BeMM-Zero: Learning Multimodal Intelligence From Scratch In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.
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The Evolution of AI: From Cloud to Embedded Physical Systems
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Right now AI = centralized cloud. Text in, text out.
Massive models.
Huge data centers. But that’s the first chapter. We’re moving toward: → Multimodal AI
→ AI agents
→ Physical AI embedded in devices That changes everything. Because now AI depends on real-time data, not -
Building AI Enterprise: 70+ Channels, Labs, Services
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2026: – being an individual creator – separately running 70+ channels @ 1Bn+ views a month
– running Aeos Labs (enterprise AI services) – running YAAS (enterprise content services)
– 100+ enterprise clients across everything incl. Coca Cola, Cleartrip, Zoho, etc etc. – making -
LuxTTS: Voice Cloning Model Achieves 150x Realtime Speed
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Clone any voice with just 3 seconds of audio! LuxTTS is a voice cloning model that hits 150x realtime speed while generating 48kHz audio. Most TTS models are stuck at 24kHz. LuxTTS generates at 48kHz, which means clearer, higher-quality speech output. Here's what makes it