@PieterOmtzigt Ah, je volgt de actualiteit toch wel. Waarom heb ik je nog niet gehoord over dee slachtingen in Israël?
Ik heb op je gesteld vanwege de integriteit en intelligente die ik je toedichtte. Maar nu voel ik me weer heel alleen.
AI x Robotics is progressing incredibly fast.
Significant advancements this week from Stanford/USC, Google DeepMind, Meta, Stability AI, Science Robotics, and more.
Here's everything you need to know:
In 2009, Stanford business professor Tina Seelig split her class into groups and issued a challenge:
Each group had $5 and 2 hours to make the highest return on the initial money.
At the end, they'd give a short presentation on their strategy.
The results were fascinating...
Most of the groups followed a basic approach:
• Use the $5 to buy a few items.
• Barter or resell those items.
• Repeat
• Sell final items for (hopefully) more than $5.
These groups made a modest return on their initial $5.
A few groups ignored the $5.
They thought up ways to make the most money in the 2 hours of allotted time:
• Made and sold reservations at hot restaurants.
• Refilled bike tires on campus for $1 each.
These groups made a better return on their initial $5.
The winning group took an entirely different approach.
They had three core realizations:
1. The $5 was nothing more than a distraction.
2. The 2 hours of time was not enough to make an attractive, outsized return with a mini-business (like selling restaurant reservations or filling bike tires).
3. The most valuable "asset" was actually the presentation time in front of a class of Stanford students.
Realizing the value of this hidden asset, they offered the presentation time to companies looking to recruit Stanford students.
They struck a deal to sell the time slot for $650, netting a monstrous return on the $5 of initial capital.
The losing groups thought in linear, logical terms and achieved a linear, logical outcome.
The winning group thought differently.
So, what can we learn from this story?
There are two types of problems:
1. Low-Stakes: Lower potential, linear rewards. Decisions are easily reversible.
2. High-Stakes: Higher potential, asymmetric rewards. Decisions are not easily reversible.
With low-stakes problems, given the reward potential is low and the decisions are easily reversible, we can use shortcuts and heuristics to choose our path. We can take a logical, linear approach.
With high-stakes problems, the high, asymmetric reward potential means we need to think differently. We want to take a creative, non-linear approach.
Three steps to start thinking differently:
Step 1: Avoid the Distraction
There will always be an "obvious" solution that is simple, clear, and entirely wrong.
In the challenge, the $5 was nothing more than a distraction. It was a trap.
To find the best path, you have to avoid the distraction.
Step 2: Ask Foundational Questions
Ask and answer questions that expose and vet underlying assumptions and logic.
• What's the real problem you are trying to solve?
• What's your hypothesis? Why?
• What are your core assumptions? Why?
• What evidence do you have?
• What are your core options?
• What alternatives exist?
This takes time, but it's an essential exercise when facing a problem with the potential for non-linear rewards.
Step 3: Select the High Leverage Approach
Slow down and evaluate the options on the table.
Select the path most likely to generate the asymmetric, attractive risk-adjusted returns.
If the story teaches us one thing, it's this:
Creative, non-linear, asymmetric thinking generates creative, non-linear, asymmetric outcomes.
If you enjoyed this or learned something, follow me @SahilBloom for more in future.
@martinvars I am sorry to hear that, @martinvars
It is not easy to change your mind, your hopes and beliefs. I needed to think and feel this through.
Switching to the other side of any divide, does not change a lot, I think. Building bridges will.
@Greenwheels jullie website weigert dienst en ook de app faalt hier vanuit Canada. Op mijn mail krijg ik een verwijzing naar de website...
Kunnen jullie dat fixen a.u.b?
Ik wil een auto reserveren
Zo bizar dit. Een gedetailleerd verslag van het politieke gekonkel, maar geen millimeter aandacht voor het werkelijke achterliggende maatschappelijke probleem: Hoe gaan wij als Nederlanders om met onze vluchtende medemens?
Hoe Rut…https://t.co/85LJYyZAbs https://t.co/pLpvASymny
De beschaving van een maatschappij toont zich in haar zorg voor de zwakkeren.
Nederland is wat dat betreft schrikbarend aan het afglijden.
#Liberaal https://t.co/fPwgfbEVJ5
Hm, ja misschien. Het is allemaal een kwestie van labeling en woordkeuze.
Liefdadigheid is duidelijk taboe binnen het systeem. Denk aan die moeder die haar kind boodschappen schonk en die vervolgens daarvoor bestraft werd.
Dus als Michelle van Tongerloo…https://t.co/kuAv6V6Q4c
Het verhaal achter het falen van onze huidige cultuur wordt steeds helderder.
Het is tijd om onze collectieve vergissing achter ons te laten.
Dan hebben we mogelijk nog een kleine kans om het goed te krijgen hier.
ping Kees Klomp https://t.co/faJXfxnO4h