Two major open-model releases arrived this week from very different directions. Both geographically and conceptually.

Kimi K3 is a 2.8-trillion-parameter Chinese model that jumped from #18 to #1 in the Frontend Code Arena, ahead of Claude Fable 5. WHAT?!

Inkling is the first major model from Mira Murati’s Thinking Machines Lab, and the company states directly that it is not the strongest model available. WHAT?!

Both strategies make sense once we examine what the companies are building.

In this episode, we explain K3’s 896-expert architecture, why Moonshot recommends at least 64 accelerators, how LoRA customization works, what community quantization changed for Inkling, and which organizations gain meaningful control from open weights.

Attention Span is here to explain the technical and business choices shaping AI.

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Links:

About LoRA https://www.turingpost.com/p/lora

Moonshot AI: The Chinese Unicorn Revolutionizing Long-Context AI https://www.turingpost.com/p/moonshotai

Thinking Machines Lab, “Inkling: Our open-weights model” https://thinkingmachines.ai/news/introducing-inkling/

Thinking Machines Lab, Inkling Model Card https://thinkingmachines.ai/model-card/inkling/

Thinking Machines Lab, Tinker https://thinkingmachines.ai/tinker/

Moonshot AI, “Kimi K3: Open Frontier Intelligence” https://www.kimi.com/blog/kimi-k3

Arena, Kimi K3 Frontend Code Arena result https://x.com/arena/status/2077824029126504525

Semianalysis about Kimi K3 https://x.com/SemiAnalysis_/status/2077966560447074689

Arena, Code Arena methodology https://arena.ai/blog/code-arena/

Artificial Analysis, Kimi K3 https://artificialanalysis.ai/models/kimi-k3

Artificial Analysis, Inkling https://artificialanalysis.ai/articles/thinking-machines-has-released-inkling-the-new-leading-u-s-open-weights-model

Unsloth, community Inkling quantizations https://unsloth.ai/docs/models/inkling

#AI #ArtificialIntelligence #OpenSourceAI #LLM #MachineLearning #GenerativeAI #KimiK3 #MiraMurati #AIModels #TechNews

Open Source AI Is Getting Too Big to Run

Turing Post

Open Source AI Is Getting Too Big to Run