Algorithmic Kitchen: Difference between revisions
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=== Cooking algorithms, clouds and databases – a how-to === | === Cooking algorithms, clouds and databases – a how-to === | ||
Latest revision as of 14:02, 13 December 2017
| Algorithmic Kitchen | |
|---|---|
| Name | Algorithmic Kitchen |
| Location | De Punt, Frans de Wollantstraat 84, 1018 SC Amsterdam |
| Date | 2015/07/30 |
| Time | 10:00-18:00 |
| PeopleOrganisations | Luis Rodil-Fernández |
| Type | HDSA2015 |
| Web | Yes |
| Yes | |
Cooking algorithms, clouds and databases – a how-to
In the Algorithmic Kitchen of Luis Rodil-Fernández we learned how algorithms are constructed, made our own algorithms and let it crunch its logic on a large database of fine cuisine. Together we cooked the tastiest outcomes.
See our scrapes here: pantry.algorithmickitchen.org:8000/
Recipe for understanding big data
Serves: 20 people
Prep time: 8 hours
For the context sauce:
- 3 million bots on Twitter
- 1L of personal information bubble, crushed
- several fortunes made and unmade over lines of code
- 1 tsp of "software will eat the world"
- 200 gr of black box opacity, as opaque as possible
- 1 very large piece of influence
- 1 very very large cloud
For the cake of understanding:
- 1L thousand recipes
- 2220 ingredients
- 1 database
- 1 API or programming interface
- 2 sleeves, rolled up
- a pinch of salt
- a crack of pepper
Preparation:
Mix all ingredients for the context sauce in a large bowl and let them sit for a while. You will know they are ready when you start seeing ads following you everywhere you go.
On a separate tray, prepare your personal data and let it simmer on an online pressure cooker for about a year, until multiple digital personalities ferment and have a life of their own.
Serve warm and in good company. Goes well with bubbles or nutty liqueurs.
