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QUEBEC.AI launches Sovereign AI: AI‑First sovereignty = capability under control. Data, infrastructure, agents, proof, governance. Quebec enters AI‑First sovereignty: build, govern, secure, benefit. http://
quebecartificialintelligence.com/sovereign-ai #AIFirst #QuebecAI
SYSTEMS
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QUEBEC.AI launches Sovereign AI: Capability under control, building, governing, securing, benefiting.
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EvoMap Turns Successful Agent Workflows into Reusable Experiences
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AI agents have short-term memory problems. They solve something once, then waste context relearning the same path again. EvoMap turns successful agent workflows into reusable experiences.
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Multi-agent AI: the quiet second shift towards parallel intelligence
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The second shift is happening quietly, but it’s massive. Multi-agent AI. Instead of one system doing everything: → One agent plans your trip
→ One compares destinations
→ One finds activities Parallel intelligence. This is how AI starts to feel less like a tool and more -
OpenAI: New Memory Architecture with Automatic “Dreaming” for Context Synthesis
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OpenAI’s new memory architecture moves beyond “saved notes” to an automatic dreaming layer that quietly synthesizes context across many chats. It optimizes for 3 things that actually matter in real work: Carrying forward useful context over time Following your preferences and
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ChatGPT Dreams: Your AI Teammate Evolves with Your Past Conversations
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ChatGPT doesn’t just “remember” you anymore — it dreams about your past conversations to build a living, evolving profile of your preferences, projects, and constraints. This new dreaming-based memory makes ChatGPT feel less like a chatbot and more like a true AI teammate.
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Local models on phone using borrowed MacBook compute for free
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This is the FUTURE.
— Shubham Saboo (@Saboo_Shubham_) 5 juin 2026
Local models running on your phone with borrowed compute from your MacBook.
100% free and works with all Open Source models. pic.twitter.com/bhtzdlbQezThis is the FUTURE. Local models running on your phone with borrowed compute from your MacBook. 100% free and works with all Open Source models.
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NEMOTRON 3 ULTRA: Open Source Frontier Intelligence Handbook with 1M Context
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NEMOTRON 3 ULTRA IS HERE
MoE – 550B, 55B Active – Base and Instruct in BF16
– NVFP4 Instruct (350GB)
– 1M Context Window
– Supports MTP Spec Decoding This release IS NOT just about the Weights
It's an Opensource Frontier Intelligence Handbook – Training Data (Pre & Post)
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Cosmos 3: NVIDIA’s open world foundation model for physical AI
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Physical AI needs to understand the world before it can act in it.
— NVIDIA (@nvidia) 4 juin 2026
Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI.
It understands and generates across text, image, video, sound and action – thanks to a new breakthrough… https://t.co/K5RyHTY7gWPhysical AI needs to understand the world before it can act in it. Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI. It understands and generates across text, image, video, sound and action – thanks to a new breakthrough
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Gary Marcus: Claude code builds tools, creating a neurosymbolic system.
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the system as whole uses symbols (eg in the tools); claude code builds those tools in that’s exactly what it means to be a neurosymbolic system, to use symbols tools in addition to neural networks.
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NVIDIA Nemotron 3 Ultra solves AI agent fatigue and cost issues
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AI agents don't just get expensive.
They get tired.
As workflows become longer, agents suffer from goal drift, context overload, and rising token costs.
NVIDIA's Nemotron 3 Ultra aims to fix that: Hybrid Mamba + Transformer 1M-token context 5x throughput 30% lower