• Self-Scaffolding LLMs: How Ornith-1.0 Rewrites Its Own Harness Mid-Training

    A technical breakdown of DeepReinforce’s self-improving agentic coding models   There’s a quiet assumption baked into most RL post-training pipelines for coding agents: a human designs the harness, and the model just gets better at using it. The scaffold — memory management, error handling, tool orchestration, retry logic — stays fixed. The policy is the…


  • Introducing PersonaGraph: The Problem Every AI Power User Ignores

    moved to https://aitechpartner.com/introducing-personagraph-the-problem-every-ai-power-user-ignores/


  • RAG Evaluation Techniques — A Field Guide for Multi-Turn Voice Agents

    RAG Evaluation Techniques — A Field Guide for Multi-Turn Voice Agents   How to rigorously evaluate retrieval-augmented generation (RAG) in conversational voice agents — distinct from simple document Q&A interfaces. Written from real-world implementation experience with production voice systems.   All examples use the fictional company FleetPulse (fleet telematics provider) to illustrate concepts without referencing…


  • Loops: The Quiet Skill Behind Every AI System That Actually Scales

    Why the Future of AI Isn’t About Better Models—It’s About Better Loops   Every week a new AI model arrives. A larger context window. A better benchmark score. A more impressive demo.   The industry conversation usually follows the same pattern: Is GPT-5 better than Claude? Is Claude better than Gemini? Is Gemini better than…


  • Learn AI for Free: 10 Platforms From OpenAI, Google, Microsoft, NVIDIA & More

      A few years ago, learning Artificial Intelligence felt expensive.   People spent thousands of dollars on bootcamps, certifications, and online programs hoping to gain AI skills that could improve their careers.   Today, something remarkable has happened.   The companies building the world’s most advanced AI systems are teaching people for free.   Not…


  • Want to Learn AI Without Spending Thousands on Courses?

      Microsoft has made its entire AI for Beginners curriculum available for FREE on GitHub.   📚 12 Weeks | 24 Lessons | Hands-On Labs | Open Source   This isn’t a marketing tutorial or a collection of random videos. It’s a structured learning path created by Microsoft Cloud Advocates that covers the fundamentals of…