It’s winners-take-all in B2C, while B2B is a long tail.
a 🧵
1/ There are only a few dominant social networks because consumer markets are prone to winner-take-all effects.
2/ There are multiple reasons for this.
First, consumers want stuff for free or cheap which drives consumer companies to expand aggressively so that they can amortize their fixed costs over many such users.
One big difference between how biological intelligence (like us) and current AI systems is active sensory foraging.
When we are not sure about something, unlike an AI, we don’t blurt out and answer, but instead actively seek new information to reduce our uncertainty.
Give an unfamiliar image to today’s ML systems and they’ll immediately output a label.
But we will look at things from different angles, try to touch them, hear them — only when we’re sure, we will label it.
Of course, this is possible because we live in an interactable world while ML systems are input-output workflows.
But we can give AI systems mechanisms for active foraging for new evidence.
What can we learn about the 🧠 brain if we map it at a nanometer resolution?
In my latest 🎙️ podcast, I talk to Jeff Litchman (from Harvard University) about their project to map human brain tissue and what insights we get from it.
Listen here ->
1/ They map just 1mm cube of human brain and revealed 1.6 petabytes worth of data, which can fill 3000+ laptop hard drives.
And. 1 mm3 of the human brain which is 0.0001% of the entire brain. The human brain is truly staggering in its richness and complexity and we explore that.
2/ If you want to read the paper with details from the project, here's the link to it biorxiv.org/content/10.110…
In it, you'll find beautiful pictures of the human brain such as this one where one neuron is making several contacts with another.