Mistral Medium 3.5 is interesting less for the benchmarks and more for the positioning. Look at who they're comparing against: Kimi, Qwen, GLM, Claude (Sonnet). Not GPT, not Gemini. And i dont mean that in a negative way! With Aleph Alpha being acquired by Cohere last week,
INNOVATION
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KAME: Real-Time Speech-to-Speech AI With Deep Thinking
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We’re excited to introduce KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI, accepted at #ICASSP2026! 🐢
— Sakana AI (@SakanaAILabs) 29 avril 2026
Blog https://t.co/eyU3yECBK8
Paper https://t.co/PVYPIcHyyM
Can a speech AI think deeply without pausing to process?
In real… pic.twitter.com/Ut0ypkjJWxWe’re excited to introduce KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI, accepted at #ICASSP2026! Blog https://
pub.sakana.ai/kame/
Paper https://
arxiv.org/abs/2510.02327 Can a speech AI think deeply without pausing to process? In real -
Removing SOC Blockers to Maximize Engineering Team Performance
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Christina and co on a legendary run. (Don't SOC-block your engineers)
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AI-Generated Workflow Structures and Intelligent Branching Logic
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Yeah, Mothership generated the structure from a prompt. For branching, it picks the right block (router for classification, condition for if/else, parallel for fan-out) and wires them up. I usually tweak the routes and prompts after, but the skeleton holds up surprisingly well.
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Audio-Omni: Unified Framework for Audio Understanding, Generation, Editing
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What if your AI could not only understand sound but also generate and edit it, all in one model? Researchers from HKUST, Tencent, and Peking University introduce Audio-Omni. It’s the first end-to-end framework that unifies audio understanding, generation, and editing across
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Hermes AI Agent: From Concept to Functional AI Agent
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Hermes AI Agent isn't an overnight success. It's the gap between a concept and something that ACTUALLY WORKS. An Agent with skills that grows with you.
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Dev Channel Upgraded: Significant Improvements Released
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Uh switch to dev channel, we made it so much better.
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9 Steps to Build Functional AI Agents from Scratch
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How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
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The 8-Layer Architecture of Agentic AI Explained
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The 8-Layer Architecture of #AgenticAI
by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
Deep Agents: Optimizing Performance Across Model Families
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great deep dive into how we get deepagents to work well with different families of models