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Aikido Security Releases Altar-1: An Open-Weight Security Model Pruned From GLM-5.3 to 328 GB
Aikido Security's Altar-1 compresses GLM-5.3 from 1.51 TB to 328 GB, runs on 4x H200 for on-prem pentesting.
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Fish Audio Releases Live 3, a Full-Duplex Voice Model That Reacts in 186 ms
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Meta FAIR Releases e-means: An Algorithm Beating k-means in 10x Fewer Epochs
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Zyphra Releases ZONOS3-Mini: Open-Source TTS With 100M Active Parameters
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Anthropic Launches Claude Fable 5.2 and Mythos 5.2: Same Model, Different Safeguards
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Meta Releases Muse Ember, a 1M-Context Model for High-Volume Agent Work
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Google Unveils TPU 8i Max and TPU 8tx: A Dual-Chip TPU and a Confidential TPU
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Baidu’s ERNIE Evolve Automated Research System Beats NanoChat and NanoGPT Records
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Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents
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0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP
0sec Labs has open-sourced 0, an AI security harness for code review, pentesting, reverse engineering and fixes. It runs locally through a browser console, a headless CLI and an MCP server, with your own model provider…
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Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding
Google's Elephant-Goldfish Model plugin makes coding agents draft specs, then runs 5 zero-context review stages before any code. The post Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding appeared…
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Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared
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. The post Which Routing Does Each MoE…
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MoE Routing Strategies Explained: Top-K, Expert-Choice, Sigmoid Gating and Dynamic Routing (2026 Guide)
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. The post MoE Routing…
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Nous Research Releases Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9%
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%. The post Nous Research Releases…
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How to Run NVIDIA Dory 4B with llama.cpp: Loop by Loop Guide
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…
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Buoyant Releases Kinference: An Open Source Inference Control Plane for Kubernetes and vLLM
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…
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Zyphra ZYFA: FP8 FlashAttention for AMD MI355X, Up to 1.76x Faster
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…
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Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active
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. The post…
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Google Releases Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second
Google released Gemini Omni 1.2 Flash, a video generation and editing model with native 15-second clips, multi-turn conversational editing and a 30% price cut to $0.07 per second of 720p video. The post Google Releases…
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Baidu Releases ERNIE 5.5 Flash Base: A 280B MoE Base Model With 14B Active Parameters
Baidu has released ERNIE 5.5 Flash Base, a 280B sparse MoE base model with 14B active parameters, trained on 33.5T tokens and published before any mid- or post-training. The post Baidu Releases ERNIE 5.5 Flash Base: A…
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Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster
Together AI released Together Compiler, an agent-driven loop that keeps re-optimizing the inference forward pass as traffic shifts. It beat the best InferenceX configurations by up to 2.6x TPS in under 24 hours per…
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