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  1. Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents

    · marktechpost.com · Asif Razzaq

    Reason Machines has open-sourced Aspen, a self-hosted Git server for AI agents. It follows OpenAI’s Pando design and sustained 567 pushes per second on one 8-core server in the company’s own test. The post Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents appeared first on…

  2. 0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP

    · marktechpost.com · Michal Sutter

    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. The post 0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and…

  3. Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding

    · marktechpost.com · Asif Razzaq

    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 first on MarkTechPost .

  4. Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared

    · marktechpost.com · Michal Sutter

    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 Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared appeared first on…

  5. MoE Routing Strategies Explained: Top-K, Expert-Choice, Sigmoid Gating and Dynamic Routing (2026 Guide)

    · marktechpost.com · Asif Razzaq

    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 Strategies Explained: Top-K, Expert-Choice, Sigmoid Gating and Dynamic Routing (2026…

  6. Nous Research Releases Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9%

    · marktechpost.com · Asif Razzaq

    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 Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9% appeared first on…

  7. How to Run NVIDIA Dory 4B with llama.cpp: Loop by Loop Guide

    · marktechpost.com · Sana Hassan

    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. The post How to Run NVIDIA Dory 4B with llama.cpp: Loop by Loop Guide appeared…

  8. Buoyant Releases Kinference: An Open Source Inference Control Plane for Kubernetes and vLLM

    · marktechpost.com · Michal Sutter

    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. The post Buoyant Releases Kinference: An Open Source…

  9. Zyphra ZYFA: FP8 FlashAttention for AMD MI355X, Up to 1.76x Faster

    · marktechpost.com · Michal Sutter

    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. The post Zyphra ZYFA: FP8 FlashAttention for AMD MI355X, Up to 1.76x…

  10. Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active

    · marktechpost.com · Asif Razzaq

    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 Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active appeared…

  11. Google Releases Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second

    · marktechpost.com · Asif Razzaq

    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 Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second appeared first on…

  12. Baidu Releases ERNIE 5.5 Flash Base: A 280B MoE Base Model With 14B Active Parameters

    · marktechpost.com · Michal Sutter

    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 280B MoE Base Model With 14B Active Parameters appeared first on MarkTechPost .

  13. Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster

    · marktechpost.com · Asif Razzaq

    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 model. The post Together AI Releases Together Compiler: Agents Make Inference Up to…

  14. OpenAI Launches GPT-Image-2.6 Flare and Sunburst: Adds GIFs, SVG Export and 6-Second API Generation

    · marktechpost.com · Asif Razzaq

    OpenAI released Images 2.6 and the GPT-Image-2.6 Flare and Sunburst API models. Flare generates images in as little as 6 seconds, and both add GIF output, SVG export, markup edits and a complexity parameter. The post OpenAI Launches GPT-Image-2.6 Flare and Sunburst: Adds GIFs, SVG Export and…

  15. Google AI Research Releases Agile Deliberation Framework for Gray-Area Image Classifiers

    · marktechpost.com · Asif Razzaq

    Google Research released Agile Deliberation, a human-in-the-loop framework that helps users define subjective visual concepts through borderline images. In 18 live sessions, it lifted Gemini-based classifier F1 by 10.5 points over zero-shot. The post Google AI Research Releases Agile Deliberation…

  16. webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500

    · marktechpost.com · Asif Razzaq

    webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It posts 98.2 on MATH-500 and 81.6 on LiveCodeBench, but trails similar-size models on knowledge benchmarks. The post webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500 appeared first on…

  17. Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1

    · marktechpost.com · Asif Razzaq

    Ricursive Intelligence released Ripple-65B Preview, a 65B dense open-weight LLM under Apache 2.0. It scores 80.5 on Terminal-Bench 2.1, ahead of US open models up to 15x its size. The post Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1…

  18. Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and Matting

    · marktechpost.com · Michal Sutter

    Tencent’s WeChat Vision team released WeVisOne-VL, an Apache 2.0 vision language model in 2B and 4B sizes. It handles detection, OCR, counting, segmentation and alpha matting in one model, with a 9.6M-parameter pixel decoder. The post Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and…

  19. Anthropic Releases FlashProve: Cryptographic Proofs That a Reply Came From Committed Weights

    · marktechpost.com · Asif Razzaq

    Anthropic released FlashProve, an Apache 2.0 zkSNARK prototype that proves a reply came from a committed model without revealing weights. It proves Llama 4 Maverick at 110 tokens/second on 1 H100, with 19 MB proofs. The post Anthropic Releases FlashProve: Cryptographic Proofs That a Reply Came From…

  20. NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash Throughput 42.5%

    · marktechpost.com · Asif Razzaq

    NVIDIA shows how 3 stacked optimizations speed up MoE inference on a single DGX Spark. On Ant Group inclusionAI's 124B Ling-3.0-flash, GSM8K decode throughput rose 42.5% with no detectable accuracy change. The post NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash…

In the directory since 25 Sept 2026 · last checked 9 Nov 2026 · RSS

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