Laurie frick friends artist explains v2

The future of data about

you and your friends

Laurie Frick

@lauriejoyfrick

Anticipating the future of data‌ and how we’ll consume it

Body grew faster than me‌. Trying to catch up with the future

Leave ourselves clues

Time had shifted into little bits

As an engineer if you want to understand something – you measure it

Data realization: Creeped out ďƒ resigned ďƒ irresistible

Mesmerized by data about friends

who you hang out with will be like diet and exercise‌

we’ll manipulate body chemistry via our friends

Signs of the Adjacent possible 99cents

digital Small

Libraries Jukebox

portable

in 1940 Studied 268 men – still going….

Relationships were everything – Didn’t even ask about friends until the 1970s ?!

cooperation for survival

Friends are the new family, in cities like Atlanta, Denver, Seattle, DC - 40% of people live alone

You basically have 150 friends

1500 name to face 500 acquaintances 150 casual friends 50 close friends 15 confidants 5 best friends

size of neocortex = How many friends

Friends + friends of friends ďƒ Undervalued?

Lose weight Stop smoking Survive illness

source of stress ½ are real friends

Social = Digital

YOU can be profiled

68 likes is all it takes

Epigenetics - You are more malleable than you think

nutrition Stress maternal care Social experience Exposure to toxins Hormones Age of father

Types of genes sensitive to social regulation Steve Cole from UCLA studied

141 lonely people – 5 years ďƒ Negative Immune response to Loneliness

What is it about friends?

We pick them Leave out grievances Demand less Often one dimensional

Easier for unsupervised learning?

Observe the steps that led up to a positive friendship and favor more of those?

Machine learning Will Simply watch Your response To

friends

Using voice analysis from mic on phone

Facebook is an ai - you are the trainer

With 2b monthly active users

Really big dataset

It will be like alphago for people How our friends affect us?

Watches your physical response to 150-ish friends + expert learning about relationships

the Adjacent possible

relationships

Sociology + Real data Friends = family Social = digital Phone as sensor

Network math to predict Biotech / chemistry of you Machine Learning

FRIEND Nutrition 3 minute pitch

Who you hang out with will be like diet and exercise

Manipulate body chemistry with friends

Software to disrupt the random way we make friends Using machine learning and smart sensors in your phone

Some friends are a vitamin, others a little toxic?

People want to connect  79% of US internet users on facebook*  50% of age 18-24 go to facebook when they wake up*  Over 100 messages a day*

…and Feel better Friends are the new family and help smoking, weight, health

The most powerful mechanism to influence how you feel – and it’s left to chance *Zephoria 2017, Pew 2016

An invisible Nudge - who to see, know, ignore Control group saw Huge improvement Stress & inflammation Behavioral change Visibility

Top messages

‘Cancels’ toxic

Meet in real-world

Amid conflicting options - we watch, learn and serve a nutritious mix Biz Model is reverse micro payments for product placement

14% 32%

Use Machine Learning – like AlphaGo for the game of Friends Don’t actually understand how you make friends, we watch your response to people

 150 casual friends  phone mic, analyze Msg metadata, sentiment and Social Media content  Algorithm sorts Latent variables and favors better friends

Artificial intelligence – social media platform extension + adjustable algorithm

Friend nutrition

a balanced meal of who to see, know, ignore

The future of data about

you and your friends

www.LaurieFrick.com @lauriejoyfrick