The best intentions can be corrupted when money gets in the way.
OpenAI was founded in 2015 as a non-profit company whose primary concern was to ensure that artificial general intelligence (AGI) would be created safely and would benefit all humanity evenly.
“As a non-profit, our aim is to build value for everyone rather than shareholders.” Is it though?
In 2019, OpenAI became a for-profit company called OpenAI LP, controlled by a parent company called OpenAI Inc. The result was a “capped-profit” structure that would limit the return of investment at 100-fold the original sum. If you invested $10 million…
3 years ago the words Artificial Intelligence evoked powerful sensations in me. Entering that world felt like taking a step into the mysteries and secrets of the future. I was mind-blown by the promises of intelligent machines, capable of solving tasks forever reserved to us. I was deep-diving into the amazement of the mind through the familiar passages of technology.
I had just finished my bachelor’s in aerospace engineering and wanted to leap towards AI. It was late 2017 when I met the great Geoffrey Hinton and Andrew Ng. …
OpenAI was born to tackle the challenge of achieving artificial general intelligence (AGI) — an AI capable of doing anything a human can do.
Such a technology would change the world as we know it. It could benefit us all if used adequately but could become the most devastating weapon in the wrong hands. That’s why OpenAI took over this quest. To ensure it’d benefit everyone evenly: “Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole.”
However, the magnitude of this problem makes it arguably the single biggest scientific…
This article is the first part of a 4-part series:
1. The Promise of Fully Self-Driving Cars
2. Training Data. How Does a Car Learn?
3. Project Dojo. Tesla’s Supercomputer
4. Beyond Cars. Tesla’s Humanoid Robot
A few weeks ago Tesla hosted one of the most important AI events of 2021; the Tesla AI day (you can watch here the entire thing).
The leading researchers and engineers of the company presented the latest developments in hardware, software, AI, robotics, computing, and self-driving cars. …
What if I told you that a biological neuron is better represented by a whole artificial neural network than by a single artificial neuron?
Deep learning, with the help of large training datasets and huge computing resources, saw a wave of success like no other in the early 2010s. Soon, artificial intelligence, machine learning, and deep learning were the center of a technological revolution. And together with them was another concept: Artificial neural networks (ANNs).
What most people don’t know is that neither of those concepts is remotely new. AI was born as a field of research in 1956. ML…
Artificial intelligence is everywhere. But if I asked you: “What is it exactly?” could you answer confidently?
Four years ago I thought I could answer that same question. I was about to start studying machine learning and deep learning with the hopes of finding a job. I was naive enough to think what I was seeing from the outside was what I’d encounter on the inside.
But looks are deceiving. And artificial intelligence, surrounded by hype and flooding in funding is the best example today. …
AI is already an advanced technology, but it could evolve until it becomes a new species. We’d call it machina sapiens.
In the 40s and 50s, scientists grew an interest in computers and the brain. The cognitive sciences and computer science were promising newborn fields that opened interesting research possibilities: Cybernetics, artificial neural networks, neuroscience, artificial intelligence… Slightly different fields coming from the same place but heading to very distinct futures.
Some scientists opted for the cognitive sciences, with humans at the core of their investigations. …
Until now, if we wanted to communicate with a computer, we had to learn its language. We had to adapt to it. From now on, computers will adapt to us.
OpenAI has done it again. In July last year, they released GPT-3, the first of its kind. This AI system showed a mastery of language like no other before. Mimicking Shakespeare’s poetic genius, writing a rap song about Harry Potter in the style of Lil Wayne, or writing productivity articles are just a few of GPT-3’s capabilities.
GPT-3 was, at the time, the largest neural network ever created. It became…
An AI could have written this article and you’d have no way to know it.
But first things first. What are my credentials to be talking about this?
I worked for 3 years at an AI startup where I was heavily involved in a project to build a real-time sign language translator. I’m familiarized with natural language processing and generation systems (NLP and NLG) — AI that can read and write, among other things.
Also, I’ve been writing on this platform about AI’s relationship with written language and covering the news from OpenAI’s GPT-3 — whose astonishing performance went around…
The field of AI could have many names. Artificial intelligence is probably the less accurate of all.
When the founding fathers of AI met in 1956 to find a name for the field, the objective they had in mind was creating a machine with human-like intelligence, behavior, and even sentience. An artificial general intelligence (AGI). However, at that time neither hardware, software, nor data science were mature enough to achieve that goal. They were naive into thinking AGI was easily attainable.
Nowadays, the promises of AI and the dreams and desires of its founders are largely forgotten. We’re creating effective…