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# Nobody has had the incentive to abstract circular APIs at planetary level and open them
 
# Nobody has had the incentive to abstract circular APIs at planetary level and open them
 
# We can’t scale scoring to 36K categories alone
 
# We can’t scale scoring to 36K categories alone
 
+
==== Complicated data acquisition ====
==== 1. Product loose their barcodes after purchase (or never had one) ====
+
===== Product loose their barcodes after purchase (or never had one) =====
 
# We will allow guided search to find your product (or approximate it / create it)
 
# We will allow guided search to find your product (or approximate it / create it)
 
## TV >> Sony >> Flat
 
## TV >> Sony >> Flat
 
# We could imagine integration with popular object recognition frameworks
 
# We could imagine integration with popular object recognition frameworks
==== 1bis.Getting REALLY all objects online ====
+
===== Getting REALLY all objects online =====
 
* Getting REALLY all objects online (even without a barcode)
 
* Getting REALLY all objects online (even without a barcode)
 
** Creating a reusable open object graph
 
** Creating a reusable open object graph
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*** Allow association of this QRCode with a barcode, giving extra-benefits for the users
 
*** Allow association of this QRCode with a barcode, giving extra-benefits for the users
 
* Grow micro-communities around objects
 
* Grow micro-communities around objects
==== 2.Collaboratively mapping carbon emissions, starting with top categories ====
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===== Very slow lifecycle =====
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* Food is a "fast moving consumer goods" in the sense that it gets bought, used and discarded quickly, thus increasing the speed of data collection on Open Food Facts
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* You don't own 20 TVs in your lifetime, and so core contributors of Open Food Facts will see their impact limited.
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* Here's [https://docs.google.com/spreadsheets/d/1p_wGUQlyolvMbXLEQIpMkSiXRQmVM4loJNwVa4wWtoY/edit#gid=0 a spreadsheet analysing that]
 +
==== Collaboratively mapping carbon emissions of 46K categories, starting with top categories ====
 
* Carbon emissions assessments exist for many categories already
 
* Carbon emissions assessments exist for many categories already
 
* They are not mapped with public knowledge graphs and standard vocabularies, limiting their use
 
* They are not mapped with public knowledge graphs and standard vocabularies, limiting their use
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* Document unpublished LCA results made by companies & researchers on Wikidata
 
* Document unpublished LCA results made by companies & researchers on Wikidata
   −
==== 2.Scaling to 36K goods categories thanks to UN/GS1 Vocabs ====
+
==== Scaling to 36K goods categories thanks to UN/GS1 Vocabs ====
 
* Scaling to 36K goods categories thanks to UN/GS1 Vocabs
 
* Scaling to 36K goods categories thanks to UN/GS1 Vocabs
 
** Those describe anything from a rubber duck to surgery instruments
 
** Those describe anything from a rubber duck to surgery instruments
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** They provide a foundation for collaborative augmentation around circularity
 
** They provide a foundation for collaborative augmentation around circularity
   −
==== 4.We can’t scale scoring to 36K categories alone ====  
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==== Scoring: We can’t scale scoring to 36K categories alone ====  
 
* Turn product analysis and deciphering into partner platforms
 
* Turn product analysis and deciphering into partner platforms
 
** Creating a bespoke analysis and scoring system for each of 36K categories is a lot of work
 
** Creating a bespoke analysis and scoring system for each of 36K categories is a lot of work
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==== A new hope: Large Language Models ====
 
==== A new hope: Large Language Models ====
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* Ability to generate data models
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* [https://github.com/openfoodfacts/openfoodfacts-ai/issues/296 Use LLMs to create data models for Open Products Facts categories]
    
=== 3.Creating the missing open APIs for the Circular Economy ===  
 
=== 3.Creating the missing open APIs for the Circular Economy ===  

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