Model-Reviews

Whenever I say that self-hosting AI is not economical, people hear that I am against self-hosting. I am not: I run Qwen3.8 27B at home and think open-weight models are great. This post compares it with GPT-6 Luna on the same benchmark, and explains why batching makes datacenters win.

TypeSafe’s Jev, a new fast and cheap classifier model that doesn’t require fine-tuning, was suddenly, literally everywhere I looked, so I tried it in MindRoom. I now use it for small decisions I would never have spent an LLM call on, like whether a “thanks” should interrupt an agent that is still working.

I tested the new Gemini 3 Pro Preview for agentic coding. While it’s powerful enough to build complex features in hours, it suffers from anxiety loops, aggressive force-pushing, and existential crises when you try to help it.

After initially struggling with ‘vibe coding’, I discovered how agentic AI tools fundamentally changed my approach to software development. I share concrete data showing an explosion in productivity and explain why I recently switched to GPT‑5 with Codex CLI for model quality.