“These images are meant to unsettle,” Aidan Meller, the gallery owner behind the creation of Ai-Da, told The Guardian. “They are meant to raise questions about where we are going. What is our human role if so much can be replicated through technology?”
A “self-portrait” by humanoid robot Sophia, who “interpreted” a depiction of her own face, has sold at auction for over $688,000.
So what about physical space? The traditional view had been that space was something that could to a large extent just be described as a coherent mathematical object. But in our models of physics, space is actually made of an immense number of discrete elements whose pattern of interconnections evolves in a complex and computationally irreducible way. But it’s much like with the gas molecules. If an observer is going to form a coherent view of what’s going on, and if they have bounded computational capabilities, then this puts definite constraints on what behavior they will perceive. And it turns out that those constraints yield exactly relativity.
In other words, for the “atoms of space”, relativity is the result of the interplay between underlying computational irreducibility and the requirement that the observer has a coherent view of what’s going on.
— Read on writings.stephenwolfram.com/2021/03/what-is-consciousness-some-new-perspectives-from-our-physics-project/
EQ as a differentiator
Even as the world rapidly embraces more and more complex technologies like artificial intelligence (AI), it’s still the human connection that gets our attention. That makes emotional intelligence (EQ) more important than ever. In a world gone digital, it’s crucial to design products and lead people in the analog world, based on our humanity. Those who understand this will more effectively inspire and lead their staffs, please their customers, and spark more innovation.
Breakthrough for Healthcare, Agriculture, Energy: Artificial Intelligence Reveals Recipe for Building Artificial Proteins
— Read on scitechdaily.com/breakthrough-for-healthcare-agriculture-energy-artificial-intelligence-reveals-recipe-for-building-artificial-proteins/
The Eerie AI World of Deepfake Music – Slashdot
— Read on m.slashdot.org/story/378104
“How do we see the evolution of AI algorithms? I’m not sure how’s the best way to understand it, except what neural net seems to mostly do is take a massive amount of information from reality, primarily passive optical, and create a vector space, essentially compress a massive amount of photons into a vector space.”
He shared that earlier that very morning he was wondering, “Have you ever tried accessing the vector space in your mind? Like, we normally take reality just for granted in a kind of analog way. But you can actually access the vector space in your mind and understand what your mind is doing to take in all the world data.”
He explained that what we are actually doing is trying to remember the least amount of information possible. “So it’s taking a massive amount of information, filtering it down, and saying what is relevant. And then how do you create a vector space world that is a very tiny percentage of that original data. Based on that vector space representation, you make decisions.”
— Read on cleantechnica.com/2020/07/09/elon-musk-talks-tesla-ai-chip-autonomy-level-5-accessing-the-vector-space-in-your-mind-more/
While artificial intelligence systems continue to make huge strides forward, they’re still not particularly good at dealing with chaos or unpredictability. Now researchers think they have found a way to fix this, by teaching AI about physics.
— Read on www.sciencealert.com/teaching-artificial-intelligence-about-physics-helps-it-deal-with-chaos