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,
LLMS
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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 -
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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Mistral Vide now in Le Chat, new Work Mode preview
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Users can now use Mistral Vide directly in Le Chat!
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 avril 2026
Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools. https://t.co/XQn3Uo9TPr pic.twitter.com/Kin0tKjhFuUsers can now use Mistral Vide directly in Le Chat! Besides that, Le Chat got a new Work Mode in Preview: an agent that can handle complex tasks across connected tools.
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Deep Agents Launches Per-Model Harness Profiles Feature
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Until today, Deep Agents shipped with a single set of prompts, tools, and middleware aimed to work well across all Large Language Models. With the launch of harness profiles, you can now control these parameters on a per-model basis.
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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
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Claude AI and CAD Professionals Job Displacement Debate
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me watching self-proclaimed CAD experts in my thread arguing that Claude won’t replace them https://t.co/sB55rT4rNY pic.twitter.com/zpB6GI9tEy
— Charly Wargnier (@DataChaz) 29 avril 2026me watching self-proclaimed CAD experts in my thread arguing that Claude won’t replace them
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SenseTime Releases SenseNova-U1 Unified Multimodal Architecture
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HUGE OPEN-SOURCE DROP @SenseTime_AI just released SenseNova-U1! If you work with multimodal AI, you need to see this. they’ve completely killed the Visual Encoder (VE) and VAE to create a truly unified architecture (NEO-Unify). The TL;DR: → Unmatched Infographics: One of