Arquivo para March, 2023
What’s beyond human
03
Mar
Certainly existing nature, the planets and the entire universe, when seen more by human
devices: interplanetary travel and the James Webb megatelescope, more complex and challenging human intelligence.
But there is something in man in the human beyond that is in his conscience and in his feelings and affections, there is a complex divine spark, says the poet that makes him look outside for what is inside.
Imagining that this could be in a machine is just one of the aspects of control and the will to human power, whose theme we developed last week, the transhuman creates a fiction and a human fantasy that man himself would create something to overcome it, the great fantasy of the development of the resources of the current Artificial Intelligence, everything that is there the man who put it.
It is the human desire to be your own creator and who knows how to reach an earthly divinity, but contrary to what you seek, technology does not only have the purpose of destroying and also of helping, it can, by daydream, impel extra-human forces of destruction.
We were created because man has not always existed on earth, and even the hypothesis that we come from other celestial bodies, the fantasy of aliens, which may even exist, will be created by something that has an infinite consciousness and greater than ours, had to there is a celestial and ontological creative principle, with logic of being (onto).
This mystical fantasy makes sense, because any self-respecting science, philosophy, or theology will speculate about human creation, and any eschatology will wonder about our destiny.
There is a moment in Jesus’ earthly life, the historical figure is indisputable, in which he reveals himself as divine to his disciples, who are so amazed that they want to build three tents and stay there, the event called “Mount Tabor” (Photo), where they were with Jesus only three disciples.
(Mt 17,1-3): “Jesus took with him Peter, James and John, his brother, and led them to a place apart, on a high mountain. And he was transfigured before them; his face shone like the sun and his clothes became white as light. Then Moses and Elijah appeared to him, talking with Jesus.”
The electronic narrative
02
Mar
The rapid evolution of Artificial Intelligence, after a serious crisis towards the end of the
millennium, brings a mystifying aspect to the scenario of scientific dissemination and sometimes even to scientific research itself, which sees it beyond the real possibilities or below what it is able.
That is why we pointed out in the previous post the real evolution and sophistication of Machine Learning algorithms and the growth of Deep Learning technology, this is the current rapid evolution, the evolution of electronic assistants (several of them are already on the market such as Siri and Alexa) is still limited and we commented in a post about the LaMBDA machine that it would have “sentient” capability.
Sentient is different from consciousness, because it is the ability of beings to perceive sensations and feelings through the senses, this would mean in the case of machines having something “subjective” (we have already spoken about the limitation of the term and its difference from the soul), although they are capable of of narratives.
This narrative, however complex it may be, is an electronic narrative, an algorithmic one, with the interaction of man and machine through “deep learning”, it is possible that it confuses and even surprises the human being with narratives and elaborations of speeches, however it will depend on always from the human narratives from which they are fed and create an electronic narrative.
I cite an example of the chatGPT that excites the mystifying discourse and creates an alarm in the technophobic discourse and creates speculations even about the transhuman limits of the machine.
A list of films considered extraordinary, exemplifies the limit of electronic storytelling, due to its human power, the list gave the following films: “Citizen Kane” (1941), “The Godfather” (1972), “Back to the Future ” (1985), “Casablanca” (1942), “2001: A Space Odyssey” (1968), “The Lord of the Rings: The Fellowship of the Ring” (2001), “The Shawshank Redemption” (1994), ” Psycho” (1960), “Star Wars: Episode V – The Empire Strikes Back” (1980) and “Pulp Fiction” (1994).
No mention of the Japanese Akira Kurosawa, the German Werner Herzog or the Italian Frederico Felini, just to name a few, about fiction would not leave out of the list Blade Runner – the hunter of androids, well connected to the technologies of “open AI” or the historic Metropolis (from 1927 by the Austrian Fritz Lang).
The electronic narrative has the limitation of what feeds it, which is the human narrative, even if it is made by the wisest human, it will have contextual and historical limitations.
The Machine Learning
01
Mar
Trend Even from the 21st century artificial intelligence 
was in a great crisis, could do a lot of logical reasoning, treat and rationalize equations, make inferences, but the volume of “human” data was small, the emergence of the Web and the adhesion of billions. of people enabled a new scenario: Big Data, a large amount of human data.
This large and complex data can be processed with large-scale accurate results, so that it can be processed by machine so that the machine “learns” trends, this (not by) machine learning is called “Machine Learning”.
With this it is possible to identify opportunities and avoid mistakes such as insisting on “logical” discourses but out of trend, it is not a question of going into fashion, but rather identifying it to correct it or propose other alternatives, and that is the opportunities Real.
Big data identifies data patterns, creates and analyzes the connections between them, and makes the execution of a given also smarter, whether or not it can rely on human supervision. In these two types, supervised and unsupervised, machine “learning” will always be essential, in supervised there is human interaction controlling the input and output of data and thus directly interfering with machine training, while in unsupervised algorithms use deep learning to handle and solve complex tasks without human intervention.
An important algorithm for semantic searches was made by a GitHut team: Hamel Husain. Ho-Hsiang Wu and Tiferet Gazit, and two Microsoft researchers: Miltiadis Allamanis and Marc Brockschmidt, who assess the state of evolution of semantic search algorithms and even make the code available through the GitHub site.
https://arxiv.org/pdf/1909.09436v1.pdf
