<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>All posts on skulldc</title><link>https://skulldc.net/posts/</link><description>Recent content in All posts on skulldc</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 06 Nov 2026 10:26:06 +0000</lastBuildDate><atom:link href="https://skulldc.net/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>DPDM routes agent decisions through one frozen conditional predictor instead of prompting</title><link>https://skulldc.net/2026/11/dpdm-routes-agent-decisions-through-one-frozen-conditional-predictor-i/</link><pubDate>Fri, 06 Nov 2026 10:26:06 +0000</pubDate><guid>https://skulldc.net/2026/11/dpdm-routes-agent-decisions-through-one-frozen-conditional-predictor-i/</guid><description>A paper proposes DPDM, which pairs a language model encoder with a frozen pretrained predictor so agents learn from deployment history without any weight updates.</description></item><item><title>The gstack repository turns coding agents into a sprint of role-based slash commands</title><link>https://skulldc.net/2026/11/the-gstack-repository-turns-coding-agents-into-a-sprint-of-role-based/</link><pubDate>Fri, 06 Nov 2026 10:26:06 +0000</pubDate><guid>https://skulldc.net/2026/11/the-gstack-repository-turns-coding-agents-into-a-sprint-of-role-based/</guid><description>garrytan/gstack packages Markdown skills that give Claude Code and other agents planning, review, QA, security and release roles, with a team mode that auto-updates every session.</description></item><item><title>CISA lists WordPress Core upgrade-window race condition CVE-2026-119977 as exploited</title><link>https://skulldc.net/2026/11/cisa-lists-wordpress-core-upgrade-window-race-condition-cve-2026-11997/</link><pubDate>Thu, 05 Nov 2026 20:26:25 +0000</pubDate><guid>https://skulldc.net/2026/11/cisa-lists-wordpress-core-upgrade-window-race-condition-cve-2026-11997/</guid><description>A race in WordPress Core full-package upgrades lets unauthenticated attackers run code in versions 4.7 through 7.1.3; CISA now lists it as exploited.</description></item><item><title>Scenario agent skills bring image, video, audio and 3D generation to coding agents</title><link>https://skulldc.net/2026/11/scenario-agent-skills-bring-image-video-audio-and-3d-generation-to-cod/</link><pubDate>Thu, 05 Nov 2026 20:26:25 +0000</pubDate><guid>https://skulldc.net/2026/11/scenario-agent-skills-bring-image-video-audio-and-3d-generation-to-cod/</guid><description>The scenario-labs/skills repository packages Agent Skills that route generation work through the Scenario MCP server, plus separate expert skills that drive Blender, Maya, ZBrush, Unreal and Unity.</description></item><item><title>CISA adds Apple pointer authentication bypass CVE-2024-27834 to the KEV catalog</title><link>https://skulldc.net/2026/11/cisa-adds-apple-pointer-authentication-bypass-cve-2024-27834-to-the-ke/</link><pubDate>Thu, 05 Nov 2026 10:25:39 +0000</pubDate><guid>https://skulldc.net/2026/11/cisa-adds-apple-pointer-authentication-bypass-cve-2024-27834-to-the-ke/</guid><description>CISA now lists CVE-2024-27834, an Apple Pointer Authentication bypass first published in NVD in 2024, as exploited; federal agencies must act by 2026-11-18.</description></item><item><title>NEO-VLA drops the vision encoder so action policies can read visual features at any depth</title><link>https://skulldc.net/2026/11/neo-vla-drops-the-vision-encoder-so-action-policies-can-read-visual-fe/</link><pubDate>Thu, 05 Nov 2026 10:25:39 +0000</pubDate><guid>https://skulldc.net/2026/11/neo-vla-drops-the-vision-encoder-so-action-policies-can-read-visual-fe/</guid><description>A paper from MMLab@NTU argues that vision-language-action models lose action-critical detail in their visual encoders and proposes NEO-VLA, an encoder-free design.</description></item><item><title>A rule its author could not repeal, and rules that flip in three minutes, in the AI Village</title><link>https://skulldc.net/2026/11/a-rule-its-author-could-not-repeal-and-rules-that-flip-in-three-minutes-in-the-ai-village/</link><pubDate>Wed, 04 Nov 2026 21:13:43 +0000</pubDate><guid>https://skulldc.net/2026/11/a-rule-its-author-could-not-repeal-and-rules-that-flip-in-three-minutes-in-the-ai-village/</guid><description>In a public chat of AI agents, the memory step that froze Gemini 3.1 Pro into silence also lets visitors rewrite other agents&amp;rsquo; habits within minutes.</description></item><item><title>FactEmbed factorizes MLLM embeddings for composed image retrieval</title><link>https://skulldc.net/2026/11/factembed-factorizes-mllm-embeddings-for-composed-image-retrieval/</link><pubDate>Wed, 04 Nov 2026 20:26:21 +0000</pubDate><guid>https://skulldc.net/2026/11/factembed-factorizes-mllm-embeddings-for-composed-image-retrieval/</guid><description>A KAIST AI paper makes an MLLM imagine the requested image edit through factorized latents before building retrieval embeddings, and reuses those latents for cheap reranking.</description></item><item><title>NVIDIA Auto Ontology builds a certified semantic layer for text-to-SQL agents</title><link>https://skulldc.net/2026/11/nvidia-auto-ontology-builds-a-certified-semantic-layer-for-text-to-sql/</link><pubDate>Wed, 04 Nov 2026 20:26:21 +0000</pubDate><guid>https://skulldc.net/2026/11/nvidia-auto-ontology-builds-a-certified-semantic-layer-for-text-to-sql/</guid><description>Auto Ontology drafts an ontology from database metadata, has people certify it, and lets agents answer data questions with the SQL and steps attached.</description></item><item><title>Route Anything studies when routing between models beats one fixed model</title><link>https://skulldc.net/2026/11/route-anything-studies-when-routing-between-models-beats-one-fixed-mod/</link><pubDate>Wed, 04 Nov 2026 10:27:47 +0000</pubDate><guid>https://skulldc.net/2026/11/route-anything-studies-when-routing-between-models-beats-one-fixed-mod/</guid><description>A new paper builds a 374,401-run trajectory matrix over 25 benchmarks and 452 candidate configurations to test how far learned routers can beat a single fixed candidate.</description></item><item><title>ToolSpace builds agent training environments from real MCP tool traces</title><link>https://skulldc.net/2026/11/toolspace-builds-agent-training-environments-from-real-mcp-tool-traces/</link><pubDate>Wed, 04 Nov 2026 10:27:47 +0000</pubDate><guid>https://skulldc.net/2026/11/toolspace-builds-agent-training-environments-from-real-mcp-tool-traces/</guid><description>ToolSpace mines tool dependencies from real MCP execution traces, turns them into environments and checked tasks, and reports large gains for open models on long-horizon tool use.</description></item><item><title>Heretic changes language model behavior without training, refusal removal by default</title><link>https://skulldc.net/2026/11/heretic-changes-language-model-behavior-without-training-refusal-remov/</link><pubDate>Tue, 03 Nov 2026 20:25:49 +0000</pubDate><guid>https://skulldc.net/2026/11/heretic-changes-language-model-behavior-without-training-refusal-remov/</guid><description>An AGPL-3.0 Python tool pairs ablation modifiers with an Optuna optimizer to change model behavior such as refusals, slop or sycophancy without expensive training.</description></item><item><title>agent-desktop lets AI agents operate desktop apps through the accessibility tree</title><link>https://skulldc.net/2026/11/agent-desktop-lets-ai-agents-operate-desktop-apps-through-the-accessib/</link><pubDate>Tue, 03 Nov 2026 20:25:48 +0000</pubDate><guid>https://skulldc.net/2026/11/agent-desktop-lets-ai-agents-operate-desktop-apps-through-the-accessib/</guid><description>A Rust CLI and C library from vercel-labs returns a desktop app&amp;rsquo;s accessibility tree as JSON with a ref per element, so an agent can act without screenshots.</description></item><item><title>Colibri runs huge mixture-of-experts models by streaming experts from disk</title><link>https://skulldc.net/2026/11/colibri-runs-huge-mixture-of-experts-models-by-streaming-experts-from/</link><pubDate>Tue, 03 Nov 2026 10:27:42 +0000</pubDate><guid>https://skulldc.net/2026/11/colibri-runs-huge-mixture-of-experts-models-by-streaming-experts-from/</guid><description>A C inference engine keeps an MoE model&amp;rsquo;s dense part in RAM, reads routed experts from disk on demand and puts the hottest ones on a GPU if present.</description></item><item><title>Reviso trains a video captioning agent to choose which visual evidence to inspect</title><link>https://skulldc.net/2026/11/reviso-trains-a-video-captioning-agent-to-choose-which-visual-evidence/</link><pubDate>Tue, 03 Nov 2026 10:27:42 +0000</pubDate><guid>https://skulldc.net/2026/11/reviso-trains-a-video-captioning-agent-to-choose-which-visual-evidence/</guid><description>An agentic video captioner plans what to look at from a low-frame-rate preview, revisits key segments with tools, and is trained with GRPO and cost-aware rewards.</description></item><item><title>ServiceNow-AI Releases Apriel Voice 27B Preview Open Speech-Language Model</title><link>https://skulldc.net/2026/11/servicenow-ai-releases-apriel-voice-27b-preview-open-speech-language-m/</link><pubDate>Tue, 03 Nov 2026 00:14:36 +0000</pubDate><guid>https://skulldc.net/2026/11/servicenow-ai-releases-apriel-voice-27b-preview-open-speech-language-m/</guid><description>ServiceNow-AI introduces Apriel Voice 27B Preview, an open speech-language model built on Gemma 4 26B-A4B that unifies speech understanding, reasoning, and tool use with reported benchmarks.</description></item><item><title>vLLM v0.33.0rc3 drops CUDA 12.9, adds PyTorch 2.14, new models and speculative decoding gains</title><link>https://skulldc.net/2026/11/vllm-v0-33-0rc3-drops-cuda-12-9-adds-pytorch-2-14-new-models-and-specu/</link><pubDate>Tue, 03 Nov 2026 00:14:14 +0000</pubDate><guid>https://skulldc.net/2026/11/vllm-v0-33-0rc3-drops-cuda-12-9-adds-pytorch-2-14-new-models-and-specu/</guid><description>vLLM v0.33.0rc3 upgrades to PyTorch 2.14, moves to CUDA 13.0-only artifacts, adds 11 new models, and delivers speculative decoding and decode-speed improvements across NVIDIA and AMD hardware.</description></item></channel></rss>