Ron's Brain Dump

shortcuts

ron (ron@undisclosed.example.com) — 2026-06-29T15:49:21+00:00

Note, these are Vectric Aspire v11 key-mappings; not sure if they apply to older or newer versions. Quick Keys Various values can be typed in while dragging out shapes. In most cases, the left mouse button must be pressed in order to input a value (i.e.dragging to create a circle, dragging a vector to move it, or dragging one of the rotating/scaling points around a vector to rotate/scale it).

aspire - created

ron (ron@undisclosed.example.com) — 2026-06-29T15:25:22+00:00

* Aspire Keyboard Shortcuts

cnc

ron (ron@undisclosed.example.com) — 2026-06-29T15:24:41+00:00

collecting together bits of learning (mostly via trial and error) regarding using the CNC and Vectric Aspire (v11) software. * Rotary (4th Axis) Jobs * CNC G-Codes * Vectric Aspire Notes

dropspindles

ron (ron@undisclosed.example.com) — 2026-06-28T20:09:49+00:00

* balancing * hook alignment * how to choose weight * Golding RingSpindles * Amazing Spindle Type Reference Drop spindles come in (at least) 2 basic types: * supported (pointed end above whorl, typically held in a bowl and spun as a bottom-whorl spindle) * suspended (hooked end above whorl) * top-whorl (whorl near hook) *

llm

ron (ron@undisclosed.example.com) — 2026-05-07T00:29:51+00:00

copied from Build a Large Language Model (From Scratch) by Sebastian Raschka (ISBN 9781633437166) 1 Understanding large language models This chapter covers * High-level explanations of the fundamental concepts behind large language models (LLMs) * Insights into the transformer architecture from which LLMs are derived

ai

ron (ron@undisclosed.example.com) — 2026-05-07T00:15:49+00:00

collecting findings and thoughts (FWIW) on modern (as of 2026) AI. not exactly my field but how can one not be curious about it (especially if they have a 30 year background in software without AI)? * transformers * llm

transformers

ron (ron@undisclosed.example.com) — 2026-05-06T17:02:27+00:00

Mechanistic Interpretability in Transformers Circuits, neurons, feature superposition & reverse-engineering model behaviour from Billion Hopes AI Introduction Modern AI systems – especially transformer-based models – can generate human-like text, solve complex problems, and even reason across domains. Yet, despite their impressive capabilities, they often behave like “black boxes.” We can see what goes in and what comes out, but we don’t fully understand how they arrive at their answers.…

software

ron (ron@undisclosed.example.com) — 2026-05-06T16:58:12+00:00

Software Advice, Info, Ideas, maybe even a Mistake or two (gotta start somewhere) Me on GitHub * Java * Linux * OpenAPI * PHP * Docker * OpenSearch * CSS * YAML * Git * Witcher * SEHistory * AI

sehistory - created

ron (ron@undisclosed.example.com) — 2026-04-15T15:46:53+00:00

This is an outline generated by Copilot; as an outline it seems quite thorough; obviously there are lots of bits to add but basically i was interested in the History of Software Engineering from the first SDE (Ada Lovelace) to today (which seems almost entirely AI-centric).

hook-alignment

ron (ron@undisclosed.example.com) — 2026-03-12T22:51:31+00:00

[hook shapes]

golding - created

ron (ron@undisclosed.example.com) — 2026-02-28T23:45:56+00:00

choosing-weight - created

ron (ron@undisclosed.example.com) — 2026-02-28T23:45:34+00:00