Discover more from Bestiario substack
Artificial chats, photogenic poems & more
BD #3 - Mar '23
Random picks 🎲
The age of average: Why it all looks the same by @alexjmurrell
Five charts that changed the world: Data visualization 101
100 years of robots taking our jobs: Find out which machines were about to take all the jobs the last century.
What can’t large language models do? Yoav Goldberg explains.
Tool shed ⚒️
Text to Plot: Thousands of apps generated in a week using GPT4, one of them, OpenAxis helps getting data and generating a plot.
Sunny side of the street: Spring is here and you need to know where does the sun shine by @shadowmap
https://app.shadowmap.org/ (better with laptop)
Memory lane 📽️
Cameron’s world: is a web-collage of text and images excavated from the buried neighbourhoods of archived GeoCities pages. We’ll talk about GeoCities another time.
Ego corner 🪞
We got a brand new website! Go play with our new ball!
Word pool 🤽
Luddite: One opposed to industrialisation, automation, computerisation, or new technologies in general. The origin is a secret orgnisation who formed a radical faction which destroyed textile machinery during the 19th century. [w]
Large language model (LLM): LLMs are usually very large deep-neural-networks (hundreds of billions of parameters), which are trained by going through billions of pages of material in a particular language, while attempting to execute a specific task such as predicting the next sentence. As a result, they are sensitive to contextual relationships between the elements of that language (words, phrases, etc). They can be used to recognize, summarize, translate, predict and generate text. [w]
Find the canvas of all discoveries in our kinopio. Thank you all for reading!