Nouveau : Le modèle Grok de xAI domine le classement d’OpenRouter, occupant la 1ʳᵉ place en nombre de jetons utilisés pour les catégories "Aujourd’hui, Cette semaine et Ce mois-ci."
TECHNOLOGY
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EU Commission launches multi-billion Scaleup Europe Fund
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Commission partners with private investors to set up multi-billion Scaleup Europe Fund https://
ec.europa.eu/commission/pre
sscorner/detail/en/ip_25_2529
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#digitaleu #scaleup #innovation #technology @DigitalEU @ArturHabant @elaniazito @mvollmer1 @mikeflache @Fabriziobustama @kalydeoo @AkwyZ @enilev @AnthonyRochand -
Recent ArXiv Papers Worth Following Daily
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"there's nothing interesting on arxiv these days!" – the words of an uncurious mind i have personally been blown away by the volume of interesting papers posted over the last few months, and eagerly following daily digests here are some papers i enjoyed the most: –
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Debugging Code Through Deep Contemplation and Analysis
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sometimes there is no way to debug besides staring at the code until you become enlightened
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5 Robotics Trends 2026 You Must Prepare Now
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The 5 Robotics Trends In 2026 You Must Get Ready For Now In 2026, #artificialintelligence is moving from software into the physical world through humanoid #robots, #autonomous vehicles, and collaborative machines, transforming workplaces and cities. From #robotaxis operating in
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What capabilities does AI still need to develop?
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What’s one thing you’d like AI to be able to do, but it can’t yet?
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Precision-RL: BF16 to FP16 Switch Boosts Convergence
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10. Precision-RL Reveals that simply switching from BF16 to FP16 precision virtually eliminates this mismatch – achieving faster convergence, higher stability, and superior performance across diverse models, frameworks, and algorithms.
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Kimi Linear: Hybrid Attention Architecture Reduces KV Cache 75%
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9. Kimi Linear Kimi Linear introduces a hybrid linear attention architecture combining Kimi Delta Attention (KDA) with periodic full attention layers at a 3:1 ratio, achieving superior performance over full attention while reducing KV cache by 75% and delivering 6× faster
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Yann LeCun’s 1998 Gradient-Based Deep Learning Paper Milestone
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#otd in 1998 Yann LeCun submitted a paper on “gradient-based” deep learning for document recognition. It took more than a decade before the world finally warmed to neural networks: https://
bit.ly/3EzX9FD First image v/Erik Tanner & WIRED -
Seven AI Opportunities to Transform the World Positively
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7 Great AI Hopes That Could Change The World Beyond caution and risk, there are powerful, positive possibilities for AI—from improving lives to enabling new forms of collaboration and creativity. Read more https://
bernardmarr.com/7-great-ai-hop
es-that-could-change-the-world/
… #AIforGood #FutureTech #PossibilityMindset