Notes from The Singularity

Tag: AI

Non-Computable You

What You Do That Artificial Intelligence #AI Never Will by Mind Matters podcast host Robert J. Marks is now available in audiobook form. Listen now to an excerpt from the second chapter as read by Larry Nobles. Will machines someday replace attorneys, physicians, computer programmers, and world leaders?… Read more...

Most #DataScience and #AI arrives to conclusions that people already know, but faster.

The real challenge is in finding things we really don’t know.

Even more: finding things we don’t know that we don’t know.

AI for Large vs Small Organizations

Large organizations with huge data sets may work their way into teaching machines to find patterns. Eg Google guessing your restaurant menu out of the first dish. Nowadays, this is one of the many unfair advantages the big players have over the smaller ones.

If you are small, don´t assume that Big Data or Deep Learning are the best option for you.… Read more...

AI and the Selfish Gene

Epigenetics theories of Larmarck applied to AI and predictive behaviour in humans. Evolution does not serve individuals, but genes propagation (Dawkins ‘selfish genes’).

Use personal data as DNA that is transfered from individual to individual in a world where individuals are just the ‘interfaces’ for genes to learn and spread across the world.… Read more...

Very Human AI

Sometimes humans workers are the artificial intelligence. Behind FB content moderating AI are thousands of content moderators. Behind Alexa is a global team of transcribers, and behind Google Duplex are (sometimes) very human callers mimicking the AI that mimics humans.
Artificial intelligence doesn’t run on magic pixie dust.… Read more...

Strong and Weak Artificial Intelligence

AI (Artificial intelligence) is a subfield of computer science, that was created in the 1960s. It was (is) concerned with solving tasks that are easy for humans, but hard for computers. The term comes from the massive computers of the 50s (prof McArthy).

Narrow AI or Weak AI is doing specific tasks better than humans.… Read more...

La Inteligencia Artificial no es una Amenaza

Algunos proclaman que estamos a punto de crear inteligencia artificial que permitirá que las máquinas se hagan cargo de todo. Otros están aterrorizados con la posibilidad de que los humanos queden obsoletos.

Pero el término ‘inteligencia artificial’ (IA) debería ser abandonado. Cuando se cree realmente IA no tendrá nada de artificial.… Read more...

AI Hype

Experts and media claim that we are about to create Artificial Intelligence (AI) that will allow machines to start thinking like people, and take care of everything. Thats complete nonsense, and its part of a greater scam that includes the climate change oax.

First of all, current AI models and research assume that you can recreate consciousness using equations and logical procedures.… Read more...

No Thinking Machines

Current AI models and research assume that you can recreate consciousness using equations and logical procedures. But they are basically systems of equations and feedback. They work well when they are trained, but only under very strict boundary conditions.

So-called Artificial General Intelligence (the one supposed to imitate a human brain) is probably decades away, if it ever happens.… Read more...

Mientras existan algoritmos centralizados decidiendo qué puedes y qué no puedes leer en Internet lo que lees estará sesgado, tu opinión será censurada, y las elecciones estarán manipuladas. Hacen falta plataformas menos mediáticas y más sociales.

 

 

AI Challenges: large vs small organizations

Large organizations with huge data sets may work their way into teaching machines to find patterns. E.g. Google guessing your restaurant menu out of the first dish. Nowadays, this is one of the many unfair advantages the big players have over the smaller ones.

If you are small, don’t assume that Big Data or Deep Learning are the best option for you.… Read more...

The Fundamental Problem of AI is Data

The problem with AI today isnt that we dont know how to implement it. The problem is that (for the most part) we don’t have the domain specific data to train it. Which is what the advantage of companies like Google and Facebook is.

The tech isnt the advantage. The data is. The tech is available to anyone who knows high school level Python and can rent out cloud servers, but only the big guys have the data.… Read more...

AI Planning: Contextualized Logic

Planning is a long-standing sub-area of Artificial Intelligence (AI). Planning is the task of finding a procedural course of action for a declaratively described system to reach its goals while optimizing overall performance measures.

Planning AI works well in system with predefined symbols: driving, legal contracts, etc.… Read more...