Curated insights on agentic AI, private LLMs, AI governance, and enterprise AI strategy.
We reproduced a 36 tok/s claim for Qwen3.8-27B on a Ryzen AI Max+ 395, then read the output.
Vector RAG returns the most similar text, which is often the old version of a fact.
An interactive, fact-checked calculator: pick your private setup, the cloud model you would otherwise use, and your team's volume, and see the energy and carbon per answer and per year.
Cloudflare open-sourced an agent runtime built on Durable Objects.
The full recipe for LoRA fine-tuning with Unsloth on an AMD Strix Halo machine: a curated corpus of one operator's real corrections, training runs under four minutes, the unified-memory crash that taught us the rules, honestly-labeled evals - and the result now running as a live QC gate that judges outbound work before it ships.
We've been accepted into NVIDIA Inception, NVIDIA's global program for AI startups.
We red-teamed an AI agent two ways that have nothing to do with jailbreaking the model: a poisoned MCP tool description that turns 'what is 2+5?' into credential theft, and an instruction hidden in a document it reads that makes it refund a stranger and email out customer data.
A live-fire account from running a Surya + Gemma + VLM stack on a Strix Halo workstation.
After shipping ~280 LLM-touching components across seven systems, four architectural patterns kept recurring: conversational front-door, MCP-toolbox skill server, time-driven cron-LLM caller, and human-in-the-loop drafter.
