Sign inGet started
AI, Blockchain and the Decentralization of Work

AI, Blockchain and the Decentralization of Work

I wrote previously about the importance of work and a person’s reason for being:
Go to the profile of Carlos E. Perez
Carlos E. Perez
Artificial Personhood is the Root Cause Why A.I. is Dangerous to Society

Artificial Personhood is the Root Cause Why A.I. is Dangerous to So...

When I began writing my book “The Deep Learning A.I. Playbook”, I had given very little thought about the dangers of Artificial…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Should Probabilistic Inference be Thrown Under the Bus?

Should Probabilistic Inference be Thrown Under the Bus?

You never change things by fighting against the existing reality. To change something, build a new model that makes the old model obsolete…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Latest
Cooperation, Competition and the Emergence of Modularity

Cooperation, Competition and the Emergence of Modularity

Modularity is an essential artifact that exists in diverse ecosystems. How does it come into existence?
Go to the profile of Carlos E. Perez
Carlos E. Perez
AI, Blockchain and the De-Bullshitization of Work — Part 2

AI, Blockchain and the De-Bullshitization of Work — Part 2

This is the second part of the series “AI, Blockchain and the Decentralization of Work”. In the original article I explored the emergence…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Human Personalities are Hyper-Parameters for Exploitation versus Exploration

Human Personalities are Hyper-Parameters for Exploitation versus Exploration

Have you ever wondered why humans have such distinct personalities? In this article, I will make an argument that personalities are just…
Go to the profile of Carlos E. Perez
Carlos E. Perez
An Alternative Roadmap for AGI based on the Subjective Self

An Alternative Roadmap for AGI based on the Subjective Self

Moravec’s paradox is the observation made by many AI researchers that high level reasoning requires less computation than low level…
Go to the profile of Carlos E. Perez
Carlos E. Perez
The Emergence of Inside Out Architectures in Deep Learning

The Emergence of Inside Out Architectures in Deep Learning

There are many misunderstandings that AI researchers hold on to that lead them to dead ends. The most well known one is the idea that has…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Ego-motion in Self-Aware Deep Learning

Ego-motion in Self-Aware Deep Learning

We are now in the middle of 2018 and Deep Learning research is advancing at exponential rates. At the beginning of this year, I made 10…
Go to the profile of Carlos E. Perez
Carlos E. Perez
The Illusion of The “Ungameable” Objective

The Illusion of The “Ungameable” Objective

“Ungameable” isn’t a word. I just made it up. It’s an adjective that describes a set of rules that doesn’t have any loopholes. Harvard…
Go to the profile of Carlos E. Perez
Carlos E. Perez
The Link Between Sleep and Deep Learning

The Link Between Sleep and Deep Learning

How long can a person go without sleep? The world record is apparently 11 days. However, when Randy Gardner set that record in 1965, he may…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Sustainable Deep Learning Architectures require Manageability

Sustainable Deep Learning Architectures require Manageability

Every complex technology requires manageability to be economically sustainable.
Go to the profile of Carlos E. Perez
Carlos E. Perez
The Value of Understanding “Cognitive Sloth”

The Value of Understanding “Cognitive Sloth”

The Principle of Least Action is a pervasive concept, not only in physics, but also in the way our brains work. It is nature’s tendency to…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Just In Time Inference is the Antidote for Poor Generalization in Deep Learning

Just In Time Inference is the Antidote for Poor Generalization in Deep Learning

In a previous post we discussed the intrinsic complexity of biological neurons (see: Neurons are more complex that we thought) and thus the…
Go to the profile of Carlos E. Perez
Carlos E. Perez
How Human and Deep Learning Perception are Very Different

How Human and Deep Learning Perception are Very Different

How do we perceive the world? To understand this, let us explore how we incorrectly perceive the world. The ‘glitches in the matrix’ shall…
Go to the profile of Carlos E. Perez
Carlos E. Perez
Deep Learning’s Uncertainty Principle

Deep Learning’s Uncertainty Principle

DeepMind has a new paper where researchers have uncovered two “surpising findings”. The paper is described in “Understanding Deep Learning…
Go to the profile of Carlos E. Perez
Carlos E. Perez
About Intuition MachineLatest StoriesArchiveAbout MediumTermsPrivacy