Personally, I’m happy to pay an extra 4.3 percent for my fast food burger if it means the person making it for me can afford to feed their own family. If you aren’t willing to fork over an extra 17 cents for a Big Mac, you’re a fundamentally different person than I am.
Kayla Chadwick
Category: on the Web
all things Web !
The 25 Companies That Have Grown the Most During the COVID-19 Pandemic
Earlier today a friend sent me this link, showing an infographic with the Companies which have grown the most during this – awful – last year.
As obvious technology and e-commerce have leade the group, whith the big 3 Companies merging those ‘quality’ have simply dominated the market.
about success, and parents
Success often is viewed as a singular achievement when, in reality, it is a cumulative result of many sacrifices.
Om Malik
Simulating Democracy
Jill Lepore’s new book looks into the origins of our diet of misinformation, conspiracy theories, and clickbait.
The New York Review
Elizabeth Gilbert on Learning in Public
Thanks Luca for sharing this!
Positioning and not-enoughing
It seems like there are too many scientists and not enough honest marketers, makers and storytellers on the side of fixing the climate crisis. Scientists are awesome at collecting and analyzing data, but data alone doesn’t help tell a story worth telling.
Paul Jarvis
Facts and figures don’t change minds, compelling stories do.
Daily, we see appalling news about wildfires, floods, and most importantly, how we’ll all have to settle for “less” if we are to keep a habitable planet. Yes, that news is important, but it’s also hard to not get stressed to the point of exhaustion from its constant stream.
When Food meets AI: the Smart Recipe Project
My friend Paolo Genta recentley shared this initiative by the publisher Condè Nast Italia and the software house Res realizing the work behind the Smart Recipe project and a list of six in-depth articles.
When Food meets AI: the Smart Recipe Project is composed by these six posts:
- Part 1: Cleaning and manipulating food data
- Part 1: A smart method for tagging your dataset!
- Part 2: NER for all tastes: extracting information from cooking recipes
- Part 2: Neither fish nor fowl? Classify it with the Smart Ingredient Classifier
- Part 3: FoodGraph: a graph database to connect recipes and food data
- Part 3. FoodGraph: Loading data and Querying the graph with SPARQL
Have a good read!
How I organize my day | Roam Research
Inspiring. A lot.
But I doubt I’ll ever get somewhere near to that.
