Local AI: why, what, howWhy A year ago, I was convinced that running AI locally on consumer hardware would never be useful or cost-effective. The gap between frontier models and local models was too wide, and closing it was Sep 26 · 4 min readsymbols.hashnode.dev
Picoclaw: A mighty ultra-light agentPicoclaw was inspired by the nanobot project — a small agent with functionality similar to the popular OpenClaw project. Picoclaw is an agent harness: it orchestrates an LLM within an infinite loop, aMar 21 · 6 min readsymbols.hashnode.dev
Asynchronous Agentic Programming with JulesWhile I no longer program as a full time job, I do work on personal projects and applications. I had been using the canvas features in ChatGPT and Gemini, which are great for organizing a single application, but there was still a manual copy/paste st...Nov 13, 2025 · 3 min readsymbols.hashnode.dev
Jagged Frontiers converge: OpenAI and Yucaipa RidgeProfessor Ethan Mollick coined the phrase “Jagged Frontier” in 2023 to describe the lines between what an LLM can do and what it can’t. To quote his report: “There is no instruction manual. On some tasks AI is immensely powerful, and on others it fai...Jun 14, 2025 · 3 min readsymbols.hashnode.dev
OverThink: Improved LLM Reasoning with Self-Para-ConsistencyI discovered this idea on the Cognitive Revolution podcast. I created a web app based on this Association for Computational Linguistics research paper by Wenqing Chen, et al., 2024. The core idea was to generate paraphrases of the original prompt, th...Jun 8, 2025 · 8 min readsymbols.hashnode.dev