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• • 1NEW Articles from Team or Enterprise organizations will get promoted to the main section.
Speech tech for a zero-dataset language: what actually consumed the time
servinosmanov
• Trained 210M text-to-image model from scratch on one GPU: what actually mattered
ivanmikhnenkov
• • 1Was sind KI-Agenten? So funktioniert Agentic AI
Agenten
• • 4The Score Is Not the Model
Omartificial-Intelligence-Space
• • 1So, let’s make our own dataset
tegridydev
• • 3Introducing Terminal-Bench-LILT: Multilingual Agentic Benchmark Grounded in Language, Region, and Culture
Lilt-org
• Your agent reads the README and that is the attack surface
relayshieldadmin
• Connectome speech models: why the scrambled-wiring control matters
oruk
• Making open-source AI weather forecasting models easy to run
hugging-science
• • 27🌀 L'autre type de mur matériel : quand ce n'est pas le GPU, c'est l'alimentation 🇫🇷
RDTvlokip
• • 1🌀 The other kind of hardware wall: when it's not the GPU, it's the PSU 🇫🇷
RDTvlokip
• • 1The Tool Layer Is the Real Power Behind AI Agents
prismberry-technologies
• Why RL environments work now (and could not in 2016)
sergiopaniego
• • 1ecossistema
Julianokimura
• Routing intent correctly: a case study in why "the agent can technically do it" isn't the same as "the agent should do it this way"
NatalieY
• A Real-World Dataset for Noise-Robust Speech AI: 100+ Timestamped Noise Types Across 58 Indian Languages
ARTPARK-IISc
• • 3Ever dreamed of parallel programming in a few clicks? Meet Tolquane
robtacconelli
• JiRack Ultra blew up the Hugging Face charts
CMSManhattan
• Almost Opus 4.6 Max quality with JiRack DeltaNet 27B — but it runs on your PC
CMSManhattan
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