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 matthewstrom.com
Breaking looms || Matthew Ström, designer-leader
| | logicmag.io
Origin Stories: Plantations, Computers, and Industrial Control
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| | The proto-Taylorist methods of worker control Charles Babbage encoded into his calculating engines have origins in plantation management.
| | css-irl.info
CSS { In Real Life } | Finding Meaning in Our Work
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| | A blog about CSS, front-end development, the web, and beyond.
| | electricarchaeology.ca
Smash the Looms | Electric Archaeology
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| | In which I explain why I'm spending all this time exploring how LLMs might be usefully ensnared for dignified ends. I'm a digital archaeologist. One of the implications of that phrase is that I am interested in artefacts whose existence is primarily digital: the application of electricity to pathways etched in silicon in certain social,...
| | jalammar.github.io
How GPT3 Works - Visualizations and Animations - Jay Alammar - Visualizing machine learning one concept at a time.
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| Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The tech world is abuzz with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet completely reliable for most businesses to put in front of their customers, these models are showing sparks of cleverness that are sure to accelerate the march of automation and the possibilities of intelligent computer systems. Let's remove the aura of mystery around GPT3 and learn how it's trained and how it works. A trained language model generates text. We can optionally pass it some text as input, which influences its output. The output is generat...