MarkTechPost (6 hours ago)
Nous Research released Arete-27B, an Apache 2.0 fine-tune of Qwen3.8-27B. On Nous’s 803-prompt eval, propaganda answers fell from 22% to 0.9% while Hermes Bench stayed flat at 65.60%.
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A config-verified comparison of how 10 open MoE models route tokens: total and active parameters, expert counts, top-k, shared experts, gating functions and load-balancing methods.
Moving AI from text to 3D space, world models simulate real-world physics to teach robots and autonomous cars how to navigate reality.
MPs, local authorities, lawyers, schools and more are receiving floods of grievances, requests and legal challenges, often complex to read and respond to “It started as a trickle in 2024 and now it’s an onslaught.”
Jobseekers are declining the offer of an interview with an AI system, with those who attend the interview declaring they would rather have avoided it.
MoE routing strategies decide which experts process each token. This guide explains 7 methods, from Mixtral’s top-2 softmax to DeepSeek-V4’s hash routing, with the models that use each one.
It’s been far more useful ever since
Explore a comprehensive coding guide for NVIDIA’s Dory 1.0 4B looped language model. Learn how to build the pinned llama.cpp branch, analyze loop-by-loop compute costs, test memory caching, and run paired evaluations.
Buoyant has released Kinference, an Apache 2.0 inference control plane for vLLM on Kubernetes. It adds declarative routing policies, KV-cache-aware load balancing and per-tenant metrics, and cut median TTFT 95% in Buoyant’s own benchmark.
Zyphra released ZYFA, open-source FP8 and BF16 prefill attention kernels for AMD Instinct MI355X. On real model activations, its FP8 kernels run 1.16-1.76x faster than AMD’s AITER, with 62-78% lower error at head dimension 128.
Thinking Machines Lab released Inkling 2 Small, a 594B-parameter MoE with 17B active parameters. It scores 31 on the Artificial Analysis Intelligence Index and runs on Tinker, with Apache 2.0 weights planned.
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