a list for 'against comparison'

a list for ‘against comparison’

The title is something I read on twitter in a long since deleted tweet, my memory faded about its original context - crucially I did write down and it somehow stuck - something I resist putting a datapoint on - a contradiction to an action - an artistic expression there to be studied.
It’s now the name of my journal, which is intended to be read by an informed audience interested in data, the music industry, ai and whatever it is we calling blockchains.
I publish here on
in the hope you might sign-in and create a free account, as I earn credit when you do so - it is better than Notion and I’d appreciate the GPU compute I can spend it on.
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Sync Tech Ideas for Film & TV

A tool that helps studios recycle music from the cutting from floor. It has no front end, meaning you have to message it via Teams, Slack, Google Chat - making it cheap to build.

A music-copyright aware data-schema for CD/CI environments that outputs data into actionable CRM tasks and dependancies.

As a serial sync-tech failure, here I provide advice some people thinking about starting on for themselves.

As a Music Supervisor, I measured AI Music tagging reducing my clearances by 40%. Could a Google Sheet plugin bridge help implement this gap?

A former business partner reiterated to me that once you choose a frame work, your stuck with that stack forever. Can ChatBot’s help circumvent this or at least delay building one until you have customers?

AI Products

I’ve been interested in AI since 2018, principally as consequence of researching ‘blockchain’ technology. In a lot of ways I don’t consider blockchain a ‘human’ technology, more it is a tool for Artificial Intelligence to create automations.
My prediction is that won’t be until 2029 that we’ll be talking about the killer dApp that is getting 100,000 installs per day, all powered by this new wallet app from company that we’ve never heard of.
Until them, my ‘academic’ area of AI research is focused on ‘translator’ use cases for document summarisation and inference- ie how these system make predictions and ‘fill gaps’ - particularly with regards to legals in media production.

claim Infranodus gives you an overview into any discourse, revealing the blind spots and enhancing your perspective. Here, I show you how with some music metadata

Coda has an ‘AI Block’ that can classify and summaries values you place in it. Read how I used it to prepare for a job interview. Did I get the job...? No! But you can discover how I used the AI block to manage a GPT context window using a database and what insights into the company I was able to gain from it.

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