How I AI
MurmurCast publishes AI-generated summaries of How I AI’s Podcast episodes — 5 summarized so far, covering Local AI hardware setup and comparison, Unified memory vs VRAM trade-offs, Agent-based infrastructure (OpenClaw, Hermes), Tailscale networking for distributed systems, 24/7 autonomous workflows and ambient AI, Software factory with automated build and review loops. Each summary distills the key insights, topics, and takeaways so you can decide what’s worth your time before pressing play.
This solo builder runs 24/7 local AI on his own hardware | Alex Finn
Alex Finn, a solo builder, discusses his setup of multiple local AI machines (Mac Studios, DGX Spark, RTX 5090) running 24/7 to power autonomous workflows for software development, security scanning, and market research. He explains why local models unlock unlimited AI usage compared to cloud APIs, and demonstrates his 'software factory' with automated build and review loops using Claude Code.
GPT-5.6 Sol vs. Claude Fable: Why OpenAI’s new model crushes my benchmark
A creator conducts a detailed benchmark comparing OpenAI's new GPT-5.6 models (Sol, Terra, Luna) against Claude Fable across real-world tasks like PRD writing, prototyping, and coding. GPT-5.6 Sol emerges as the superior choice for practical product development, offering better design uniqueness, clearer communication, and more effective collaboration despite Fable's theoretical intelligence.
What a harness is and how to build one with Claude Agent SDK
A harness is custom code built around an AI agent to make it more effective for specific workflows. The speaker demonstrates building a Sentry bug-fixing harness using Claude Agent SDK, explaining how structured constraints, opinionated tooling, and custom prompts enable AI agents to solve complex tasks more reliably than general-purpose coding tools.
How I run autonomous coding agents from my phone with OpenAI Symphony + Linear | Alessio Fanelli (Kernel Labs)
Alessio Fanelli demonstrates how to run autonomous coding agents from a phone using OpenAI's Symphony framework integrated with Linear, showing practical applications from Pokemon card arbitrage to small business automation. He emphasizes moving from agent prompting to agent management through cloud-based orchestration and shares how AI enables efficient scaling of traditionally manual, inefficient business processes.
Sonnet 5 review: I ran 64 generations to find out if it's worth it
The creator develops the 'How I AI Bench,' a custom evaluation framework combining human vibe checks with LLM judging to assess AI models on practical tasks like PRD writing, prototyping, and agentic coding. Testing five frontier models including Claude Sonnet 5, the results reveal significant disagreements between automated scoring and human preference, with Sonnet 4.6 and Gemini 3 Pro ranking highest despite Sonnet 5 being the newest release.