Diary Posts
-
A three-layer instruction set for use in ChatGPT Projects
Transparency label: human only Building on recent work around the three-layer model of AI context, I spent some time today working with ChatGPT to write a full three-Layer Instruction set for use in Anapoly’s ChatGPT Projects. If it works as hoped, strong governance is now the default. The AI will challenge weak logic, ask for
-
Using local-only AI in a micro-enterprise
Transparency label: AI-assisted I’ve added a briefing note in the Resources area that sets out an approach for a micro-enterprise to run AI entirely on local machines. This creates a system that is private, predictable, comparatively inexpensive, and easy to expand in small steps. The note explains how a three-layer model for controlling the behaviour
-
Make ChatGPT mark its own homework
Transparency label: human only This prompt results in a marked improvement in the quality of a document being drafted collaboratively with ChatGPT. Review the content of the canvas for completenes, correctness, consistency and the quality of its line of reasoning, and make improvements as necessary. Before outputting the improved version, repeat the review and make
-
Content and context are key
… to successful use of AI. This is a distinction that matters now because many teams only notice the problem once their AI systems start giving confident but contradictory answers. Transparency label: AI-assisted. AI was used to draft, edit, or refine content. Alec Fearon directed the process. With acknowledgment to Scott Abel and Michael Iantosca, whose
-
An AI-embedded business
Some thoughts about what it means to be an AI-embedded business. Also, small language models are coming into favour for focused tasks, as they are more accurate and more efficient. The approach is to combine them with large language models into hybrid AI systems. That seems to be the direction small businesses will be going
-
A more personalised way to learn with NotebookLM
I came across an interesting piece by AI Maker explaining how he uses NotebookLM to learn in a more personalised way. He suggests that learning improves dramatically when we control our sources, shape the content into formats that suit us, and then test ourselves deliberately. This approach fits neatly with our existing work and is
-
Testing a local AI
I am using Obsidian to build not a second brain, but a workspace for my brain: a space in which to think. The workspace is intended to become an ideas factory, designed as a knowledge network: a network of ideas at different stages of development. There is scope for AI technology to enhance my thinking
-
Mind Maps, Podcasts, and a Pocket Brain
Lately I’ve been testing a simple idea: can AI turn Obsidian into a genuinely useful second brain for me? The answer was a complicated but resounding “Yes”. My first step was to find an experienced Obsidian user whose ideas resonated with mine. This turned out to be a YouTuber whose channel has over fifteen videos
-
The art of goal-directed context management
with acknowledgement to Erling S. Andersen, whose book Goal Directed Project Management inspired me in 1988 Transparency label: human only How do we control an AI? To use an AI effectively, we have to configure it’s behaviour to suit the purpose of our work. We do this by giving it information in the form of