Microsoft is exploring a deal to acquire Inception, an AI lab that recently released Mercury 2, the world's first reasoning diffusion LLM, according to Reuters. Imagine diffusion Copilot
LLMS
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Hermes AI Agent Memory Architecture Explained
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the three-tier memory of Hermes agent. AI agents forgets everything when your session ends. Hermes doesn't. it has three memory layers, each at a different speed. ๐๐ถ๐ฒ๐ฟ ๐ญ: ๐๐๐ผ ๐๐ถ๐ป๐ ๐บ๐ฎ๐ฟ๐ธ๐ฑ๐ผ๐๐ป ๐ณ๐ถ๐น๐ฒ๐ MEMORY.md (2,200 chars) and USER.md (1,375 chars).
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The AI Orchestrator: Tomorrow’s Profession
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The job of the future: AI orchestrator. For every task, deciding between 15 models based on 4 variables: intelligence, cost per token, hallucination rate, and latency. Between Claude Opus at $15 per million tokens and the Chinese Qwen at $0.50, thereโs a 30x difference. Multiplied by…
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OpenSquilla Releases Cost-Efficient Open-Source AI Agent for Long-Running Tasks
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OpenSquilla released a new open-source AI agent designed for executing cost-efficient, long-running tasks. It offers 60-80% token savings and is available under the Apache-2.0 license! > ML classifier sends simple tasks to cheap models, complex ones to stronger models > 60-80%
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Automated codex review loop skill with architecture limitation
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Wrote a skill that runs codex /review in a loop until there's no booboos anymore. Caveat: It won't fix system architecture for ya, so you still need BRAIN as master model. https://
github.com/steipete/agent
-scripts/blob/main/skills/codex-review/SKILL.md
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AI models’ inherent planning and intent inference capabilities
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same, models are so good at planning and inferring intent that you donโt really need to add the extra step of planning!
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Optimized LLaMA.cpp Patch
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Patched LLaMA.cpp
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https://github.com/AtomicBot-ai/atomic-llama-cpp-turboquant
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GGUF models available on Hugging Face
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GGUF models on @huggingface โ https://
huggingface.co/AtomicChat/Qwe
n3.6-27B-UDT-MTP-GGUF
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Qwen 27B Speed Boost with TurboQuant
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๐จ LOCAL AI JUST GOT A SERIOUS SPEED BOOST
— Charly Wargnier (@DataChaz) 14 mai 2026
I just found a custom setup for Qwen 27B.
> Qwen 3.6 quantized with @GoogleDeepMind's TurboQuant
> from 21 to 34 tokens per second
> +40 % performance boost ๐คฏ
feels incredibly smooth on my Mac.
open-source code just dropped โ https://t.co/0zXA4uCXyzLOCAL AI JUST GOT A SERIOUS SPEED BOOST I just found a custom setup for Qwen 27B. > Qwen 3.6 quantized with @GoogleDeepMind
's TurboQuant
> from 21 to 34 tokens per second > +40 % performance boost feels incredibly smooth on my Mac. open-source code just dropped โ -
Anthropic releases full documentation on constitutional AI goals
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Full /goal documentation from Anthropic: