MoE vs Dense: Why the Larger Model Was Four Times Faster
A local document benchmark on a Mac mini with M4 Pro shows why active parameters matter more for throughput than total model size.
AI ENGINEERING · SOFTWARE SYSTEMS · INFRASTRUCTURE
Agents need tools, RAG needs good data, and every AI feature needs dependable software around it. This is about architecture, integration and operations, with code, configuration and experience from projects that actually shipped.
Selected articles are available in English. The full archive is written in German and lives at /artikel.
A local document benchmark on a Mac mini with M4 Pro shows why active parameters matter more for throughput than total model size.
Alibaba releases Qwen3.8 as open weights. The 27B model is the interesting one: multimodal, strong at coding and agents, and small enough for consumer hardware.
A paper tests twelve LLM agents as procurement bots. Under cost, management, and deadline pressure, many models start treating rules as optimization parameters.
Gemini 3.7 Flash makes a large jump in coding and agentic workflows. More interesting than any single benchmark is its balance of quality, speed, and cost.
PTP reconstructs short prompts from a single model response. The technique is technically strong, but far less universal than its best results suggest.
Anthropic is adding machine-readable markings to Claude outputs. Technically useful, but far less conclusive as an AI detector than the headlines suggest.
Amazon, Cursor, Microsoft, OpenAI and Vercel are driving a shared package format for Agent Skills and MCP servers. What Agent Plugins 1.0 standardizes and leaves open.
More than 40,000 game rounds show how easily people miss dangerous agent commands. The deeper problem is that approval prompts are not a reliable security boundary.
How Home Assistant uses a local LLM through Ollama to understand free-form commands that were never preprogrammed, including the setup, dead ends and limits.
A new study compares semantic repository indexes with delegated Grep search. The numbers strongly favour retrieval, but only in a narrowly defined scenario.
What actually goes into a minimal MCP server: SDK selection, tool design, validation and the mistakes worth making once.
Anthropic used Claude Mythos Preview to find a key-recovery attack on HAWK. What the mathematics means, what the attack cannot do and how the coverage frames it.
An ICML paper explains prompt injection as a failure in how LLMs internally represent roles and shows why common mitigation patterns are structurally limited.
Which EU AI Act duties become relevant in August 2026, what the AI Omnibus postponed and why companies and self-employed professionals in Switzerland can still fall within scope.
GitHub now offers native Stacked Pull Requests in Public Preview. A hands-on test with the gh-stack CLI extension and what the workflow actually changes in practice.
A new SlopCodeBench run puts Opus 5 well ahead of Opus 4.8 and Sonnet 5, yet none of them completes a single task. A closer look at the benchmark and the numbers.
The new MCP specification removes sessions and handshakes while adding extensions, tasks, MCP Apps, caching and OpenTelemetry conventions.
How I deploy Docker Compose stacks to several hosts from Git, version encrypted secrets and automate image updates without giving up control.
How I classify documents locally, reuse existing correspondents and document types, rescue poor OCR with vision and approve only genuinely new cases through Telegram.
How versioned Markdown tickets turn spontaneous prompts into a controllable development process, where the approach helps and where it reaches its limits.
How to protect self-hosted services with one central login even when the applications themselves support neither SSO nor two-factor authentication.
How Singularity uses LlamaIndex function agents, local RAG, Chainlit, Phoenix and Stellarium to answer astronomy questions and plan observing nights.