These visual thoughts are often created as a result of a conversation, and are available for use under a Creative Commons licence, so please remember to attribute!
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Artificial Intelligence…

artificial intelligence

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So I’ve been meeting with Kin Lane recently (aka API Evangelist) trying to get a deeper hold on all things API (or Application Programming Interface for what it’s worth). As an ex-programmer, I’m interested to understand the evolution of how APIs are being used. A number of insights emerged from our conversation, including this aligned view of artificial intelligence albeit from contrasting positions…

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POSSEE

POSSEE & DoOO

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POSSEE by @bryanMMathers is licenced under CC-BY-ND

Doug Belshaw was the first to enlighten me on this self publishing principle, and encourage me to set up my own site, and publish out from there. Every drawing should have it’s own canonical link he’d say. Unambiguous words, and I’m glad I listened. This rang true again when working with Jim Groom and Reclaim Hosting on the articulation of a Domain of One’s Own, in a learning context. But the immediate feedback of social media can make one (me) a touch lazy. Reading Kin Lane’s post on the Personal API, I’m reminded of just how important this principle is to those who would publish…

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A personal API

API: And this time its personal

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So in the middle of reading Jim Groom’s post on The LMS is dead, and getting my head around next generational digital wonderment, I found myself jumping into Kin Lane’s post on the Personal API. As a programmer, I’m aware of what an API is and how it works, that it becomes a fundamental part of loosely coupled, highly cohesive system design, but I’d never thought of a personal API stack with me as it’s puppet master. Or it as my data shield…

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Machine Learning

Machine learning

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I often listen to podcasts when I’m drawing something. However, recently I tuned into Audrey Watters and Kin Lane‘s Contrafabulists podcast – and as their conversation progressed, I found my mind wandering from what I was supposed to be drawing and thinking about an image of the conversation, which explored what Machine Learning is and of course, what it’s not… The podcast itself is very accessible, and definitely worth a listen.

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