Category: Artificial Intelligence
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Personal metalearning
Having 30+ years history in a knowledge domain, it’s a surprise if sudden level ups start appearing. Metalearning seems to have done that for my chess, after a longish warm up period of getting tuned in for the game. LLMs are an inspiring success story, and AI is sometimes giving feelings of “getting everything solved”.…
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GPT Philosopher II
There’s been some positive changes and challenges for me on my other projects since the last autumn, explaining the quietness here. Now things have progressed so that I was able to find time on my home programming desk. Large language model APIs are on the focus again. Earlier this year I was running some tests…
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Database and tools
I had been thinking about having a dedicated relational database server at home, and found an unused old PC that was laying around and fit for the purpose. Changing to Ubuntu and installing the chosen open source database was quite fast. Then there was setting up a secure connection between the server and my main…
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Underground data
Public transit offers some nice open data sets. I was searching for subway data, and found out that New York releases a large data batch of metro arrival times every morning. Not knowing much on the NYC metro, there was some research to be done, going through the metro map, route time tables, station locations…
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Next year
2023 was the year of AI for me. It proved useful in many programming tasks, for example 2d / 3d geometry, financial data, and mining for ideas. ChatGPT user experience is fairly nice, and towards the end of the year they added the much needed Python real-time compiling for responses. It didn’t quite get out…
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GPT Philosopher
Currently my favourite desktop app is Obsidian. It’s a software for personal knowledge management. Giving the light experience of a plain text editor, it has features like super easy hypertext functionality, knowlege graph, and PowerPoint type canvas. Few days ago I decided to try automating philosophical knowledge transfer from ChatGPT to Obsidian using Python. The…
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Yeah it’s that thing
The idea of prompt engineering is to verbalize the required application structure for the AI. Sometimes it feels that a faster way to solve problems is only reacting to the situation and producing a solution. Choosing to verbalize is often an attempt to make the structure explicit, maybe using some set of methods like computational…
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Data apps
I’ve been working on data apps recently. The idea is to pick a data source X, and create an app that captures the basic analytic functions that you want to run on it. What it means in practice is having a data model, data imports and exports, some automated analytics, reports, and a graphical user…
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What with ChatGPT?
There’s a distance between getting helped by an AI and actually getting something done. One thing that ChatGPT can do nicely is things that have been done often, but that are hard to find and remember. It’s indexing well lots of nuances in drawing charts, first steps of GUI, launching queries to database, wide range…
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Busy with AI
Looks like I’ve been spending tons of time with ChatGPT4, GitHub Copilot X, and related content. Intelligent or not, ChatGPT4 is a truly amazing digital source of information on many questions that are interesting to think about. Some code that you receive is broken and some is still better found at StackOverflow or such, but…