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Arquivo para a ‘IA’ Categoria

Conscience, truth and clearing

08 Jul

Consciousness can be classified in different ways, but it is far from the whole to which the entity belongs (identified as material reality in modernity) it forgets being, thus what in fact is consciousness remains hidden and is closer to the sentience to which it is refer to artificial intelligence and what could be called machinic consciousness.

The clearing that emerges from being, already posted here, is the one that is contained in the context of a whole, and from it emerges the being, and this criticism can be extended to all modernity, where there is a fragmentation and everything refers to the part, often even opposed to the whole to which the entity belongs, and from it emerges the question of being, as Heidegger intended.

This whole is also claimed by Edgar Morin, who is 101 years old today, and together with Lima de Freitas and Barsarab Nicolescu, writing in Arrábida’s “Letter of Transdisciplinarity” (1994) as “the contemporary rupture between an increasingly accumulation and an increasingly impoverished inner being leads to the rise of a new obscurantism, whose consequences on the individual and social plane are incalculable” (Arrábida, 1994).

This type of formal consciousness also takes a notion not only of knowledge, but also of culture and even religion, to a deviation away from the clearing of Being and subject to formal rules and precepts, of Law and knowledge in an apparently rigorous but inhumane logic. and that hides the Being.

In culture, it means limiting the conception to a particular type of culture, of a single worldview, which is valid, but which cannot be imposed on other worldviews, especially the original ones.

For Christians, the biblical passage that clarifies this false consciousness is that Jesus is questioned by a master of the Law, specialists in formal consciousness, asks the master what he needs to do to conquer the divine kingdom, and Jesus says in modern language respect the Other and admits the Divine Being par excellence, the one who is the All in a monotheistic worldview (God).

However, the parable of the Good Samaritan is told immediately afterwards and makes the formal conscience clear, the parable says that a man was robbed and mistreated by robbing and he stood by the wayside, a priest and a Levite passed by (a tribe from which religious came from that time) and turned away from the problem, a Samaritan passed by (who was a people without religion and who did not like the Jews) and offered help, put oil and wine on the wounds, put it on his animal and took him to a pension paying his stay. and if it lasted longer, I would pay on the way back.

Only the Samaritan had an attitude of true conscience towards man, so Jesus told those who asked how to conquer the divine kingdom “Go and do likewise” (Mt 10:37).

Heidegger e a clareira « Blog Marcos L. Mucheroni Filosofia, Noosfera e cibercultura (marcosmucheroni.pro.br)

 

 

Sentience, Consciousness and Robots

07 Jul

If we watch or remember a science fiction movie like HAL-900, the supercomputer from the 2001 film A Space Odyssey, in which the computer starts making decisions by itself, or the parody of “The Simpsons”, in one episode a voice comes to intelligent life and falls in love with Merge and wants to kill Homer, today we are already able to identify the limits of these daydreams.

We are still not able to pinpoint the limits of the AI ​​machine (the film in which an intelligent machine created to control the environment after the ice caps melt and encounter a human boy will David Swinton (artist Haley Joel Osmet) will have an unforgettable emotional experience with this machine, and Blade Runner, in my opinion the best fiction in this theme.

Blade Runner’s AI machine and sophisticated Androids are still far from being scientific realities that allow machines “awareness” or even “smart brains” (the LaMDA machine is just a program with data stored in a cloud), and they are works of art. science fiction, both aimed at a future beyond the second half of the 21st millennium.

Formal rules, however complex they are, are just sentient and even they are not AI, along the lines of the “sentient” in the film “ex-machina” the robot (in the above modified photo of the film) develops an “instinct”.

The problem of our civilization is to allow humanity to get there in social, environmental and moral security, so we must think of consciousness directed to these phenomena, since one can only speak of consciousness of “something” phenomenological, and the most urgent consciousness is the social peace.

Already at the limits of AI, which is moving towards advanced sentience, it is able to identify people by their facial features, cars by license plates and solve complex logical questions and advance to machine learning problems by identifying and classifying data in natural language that achieve learning. “from” deeper machine (deep learning).

To have a deeper awareness of reality beyond false advertisements, promises of earthly paradise that hide atrocities, look to social security, which includes all people in an accelerated pace of actions (the Fatigue Society) without pause for reflection.

Our most urgent and immediate problems are human: the empathic relationship and social peace.

 
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Controversy of the conscious machine and some daydreams

06 Jul

Before any controversy, it is important to understand that the issue of ethics is present in all serious AI (Artificial Intelligence) teams and since the conference in Sweden, several companies and research centers have signed an agreement not to develop lethal machines in AI.

Jean-Gabriel Ganascia has written an important book on the Myth of the Singularity, the point at which the machine would surpass human intelligence and he himself has an ethics section in his lab, as many teams have, including Google.

A recent controversy arose from an interview with Google engineer Blake Lemoine to the Washington Post and having defined the search giant’s AI machine LaMDA as having sentience, Google immediately dismissed it and through its spokesman Brian Gabriel reported that the Blake’s concerns were not “in line with our AI principles and informed him that the evidence does not support his claims”, but the controversy continued.

The first thing to clarify is that sentience has a big difference from consciousness, which means that “perceiving through the senses [in the case of sensing machines [or having impressions, as consciousness there are several definitions, but we are left with that of phenomenology which states that only whether one can speak of consciousness of something, so it depends on the phenomenon and on the intention.

Also for phenomenology, especially for the ontology of Heidegger, his direct descendant (Heidegger was a student of Husserl), Being is described as the abode of language, but one cannot forget that language for Heidegger has a poetic function, that is, in a broader sense than everyday life.

Returning to the sense of sensors, we now have an evolution of the IoT (Internet of Things), one can think of facial expressions, gestures and attitudes that can identify the sentience of a machine, but the awareness of something also means for Heidegger, to reveal the hidden, that which leads us to a clearing of the object or phenomenon, the verification of its ex-sistence, its Being.

Without appealing to philosophy, returning to everyday life, it is possible for a human behavior that emits and develops like a machine, a robotization of our actions, which is also very common in modernity, a “sameness”, poetic language, art and culture comes to the rescue.

As for the technical aspect, it is desirable to know more in depth, while the social aspect cannot fail to observe important technical aspects and their limits, of course, including ethical ones.

For those who want technical details, I recommend Melanie Mitchell’s interview with Zeeshan Aleem: Did a Google create a sentient program ?, there’s a lot of fantasy and fiction out there.

 

 

2020: IT predictions

21 Jan
It is famous and historical predictions in the 70s by the presidents of Digital Equipments and IBM that personal computers would not come true, but in the early 80s they were. 
The renowned Wired magazine said at that time that they would 
happen, but would be first adopted in companies and then in 
families, the reverse happened. T
he magazine's predictions for simultaneous translation were 
for 2015, they happened in 2017 but there are still complaints 
about its effectiveness, the bet on hydrogen cars was for 2010,
which is becoming reality are electric cars, slowly because of 
the market it is true, but also the technology of batteries and autonomy of the expensive ones still evolves. 
Five technologies may meanwhile change the market in 2020: 5G may definitely enter the market changing the business of smartphone operators , multiclouds as evolution of cloud storage will be an evolution of current clouds, AI in particular, Ma chine Learning will enter companies and businesses giving impetus to current IT.
And, finally, many possibilities of mobility can change, with the evolution of IoT.
 

Four IT buzzwords for 2020

20 Jan

Some words have already been used in an excessive and mistaken way, we can mention disruptive technologies seen as any that have an impact on the market, when the problem is the scale of production and consumption, the data lakes, used to store raw data that do not they mean they are or can be handled easily (there are specific environments and tools for this), and the third term that is not new is also DevOps, which is the rapid implementation of codes with facilities to remove and correct possible bugs (errors in the code ).

The four buzzwords that are expected to grow in 2020 and which represent a danger both in their use and in their implementation are BigData (yes it already existed in 2019 but its expansion is indicated as a large volume for 2020), AI ditto the previous one, Agile which means the rapid market change and corporate strategy, if misused will be a failure and ultimately and no less essential, and lastly, what has been called a “digital transformation”.

Let’s start with the last one, which includes the previous ones, including the 3 excluded from the analysis, digital transformation does not necessarily mean that “everything now changes with digital processes”, and of course it does not mean that nothing changes, depending on the area, the impact, the disruption (in the scale) it is clear that the impact can and should happen, but be careful with Agile.

Agile is the process of responding quickly to changes, but the answer does not mean being responsive in any situation, the vast majority deserve analysis such as transient market situations, seasonal processes, response to competition and in particular, changes in “fashion”.

AI can be a response to many businesses, but the term “intelligence” itself is questioned, in fact it is a bit of each previous process, including bigData, Agile and Data lakes, that is, there must be tools like Analytics and Machine Learning that assist the process.

Gartner detected an increase from 25% to 37% from 2018 to 2019 in the use of AI for business, but the effectiveness is not guaranteed, just as only the use of IT does not mean the modernization of the company.

 

Human intelligence beyond artificial intelligence.

15 Jul

Until very recently it was believed that a certain type of intelligence was preponderating to others, the famous IQ test, for example, determined the intelligence of a person in numbers, which fell a bit into disrepute, then came the phase of emotional intelligence , it exists because we are in time of stress.
With the advances of artificial intelligence, the advances of artificial intelligence and the point of singularity, at which point machines will go beyond Intelligence in man, but what is this intelligence, is little questioned, the specialists give answers ready, but …
Due to conjunctural, social and cultural factors, a type of intelligence is developed that is logic, memory capacity and great talent to deal with mathematics and logic in general, one can find solution of complex problems, say the neuroscientists that she is strongly attached to the right side of the brain.
The second type is motor intelligence, artists and athletes develop great talents with a body expression and notion of space, distance and depth very sharp, can perform complex, graceful and sharp movements, as the name says is related to motor ability.
People with good written and oral ability have a type of intelligence called linguistics, in addition to the expression has a degree of attention and sensitivity to meet the views of others, is visible its usefulness in today’s world.
People with great ability to imagine and draw both in 2D and 3D have a great talent for graphic art, it is space intelligence, just as linguistic intelligence has great sensitivity and creativity, but its universe is itself and the interaction with others is done precisely by his spatial vision.
Musical intelligence is one that makes us see through the “sounds”, are people with a great facility to listen to music or sounds in general and identify different patterns and musical notes.
Two types uncommon are intra and interpersonal intelligences, and statistics are the rarest among people and yet the closest to our “being,” intrapersonal intelligence has an enormous facility to understand what people think, feel and desire, while the intra has a strong component of “leadership” because they are people capable of causing great admiration in others, and with special active intelligence mobilize and get to take action and put others to accompany it.
Of course this is as schematic as other classifications, but it is precisely by the scheme that artificial intelligence is thought to be related to this, in fact human intelligence is quite complex while the artificial one is very schematic, even though it is a complex scheme.
The TED by Daniel Levitin has already surpassed 14 million views, and has an interesting point of view of a neuroscientist:

 

Wikipedia and Artificial Intelligence

24 Oct

Having already almost surpassed the point of singularity (see our post), the point that the machine would surpass human intelligence, the question now turns to consciousness and a well-considered point is the question of consciousness.
In this sense the main criticism is the perpetuation of prejudices, which would avoid what I call hermeneutics, but it is an incorrect view of the evolution of digital technology, for example, the use of Digital Ontologies and the ability to seek scientific studies outside of Wikipedia.
This is what recently announced an article in The Verge, and the most serious omission after researching scientists who are omitted from Wikipedia, was to note that 82% of written biographies are about men.
In a blog post, according to The Verge website, John Bohannon, director of science at Primer, explains the development of Quicksilver tool to read 500 million original documents, sift through the most cited numbers and then write a basic article about the work of these scientists not mentioned in Wikipedia.
Two examples of illustrious women found and written for AI are Teresa Woodruff, a scientist who designed mice ovaries using 3D printers, was cited by Time magazine in 2013 with one of the most influential people in the world scientist, and the other case is that of Jessica Wade, a physicist at Imperial College London, who wrote the new entry for Pineau.
Wade was one of the scientists who said “Wikipedia is incredibly tantalizing, and the underrepresentation of women in science is particularly bad,” and praised Quicksilver stating that with it you can quickly find large amounts of information very quickly.
Wikipedia will have to evolve with Machine Learning tool, this may happen in the coming years, the fact that there are specific tools for this does not invalidate Wikipedia, shows that it has weaknesses and should be corrected

 

The future and our life in 2100

10 Oct

We have written a few posts about Michio Kaku, about some of his speculations about physics, now we want to give him a jump in the future, different from what the technoprofetas do (the name given by Jean Gabriel Ganascia to the creators of technological myths), Kaku speculates using physics and being optimistic.

He writes: “In 2100 our destiny is to become like the gods we once worshiped and feared. But our tools will not be like magic wands and potions, but computer science, nanotechnology, artificial intelligence, biotechnology and, above all, quantum theory, which is the basis of earlier technologies. “(Kaku, 2011)

If positioning as a quantum physicist, the term is inappropriate but would say theoretical, he asks: “But where is all this leading technological change? Where is the final destination of this long journey in science and technology? “.

His answer is surprising. It responds in a sociological way: “the culmination of all these disorders is the formation of a planetary civilization, what physicists call Type I civilization,”

Not surprising to those who connect all Newtonian mechanics with the logic that lasts until our days to the right, economic ideas and theories of the state.

And he goes on: “Unless we succumb to the forces of chaos and madness, the transition to a planetary civilization is inevitable, the end product of the enormous, inexorable force of history and technology beyond any control.”

Futurists already anticipated the office without paper, but the bureaucratic chaos makes the paper still to be spent exorbitantly, the work at home is not yet reality, but it could be.

Also the online shopping cybershoppers, cyberstudents making classrooms obsolete, and many universities would close due to lack of interest from young people.

What we see is proliferating cyberclassrooms and universities still record record numbers of students, professors who successfully give lectures on philosophy, physics and technological gadgets, giant media puzzles try to manipulate people’s heads, but “the lights of Broadway shine still as intensely as before. ”

But technology continues to be fought as one of the “evils of our time,” and according to Kaku the point is: “Whenever there is conflict between modern technology and the desires of our primitive ancestors, these primitive desires gain more and more.” : “This is the cave man principle”.

Kaku tells a story similar to today, watched a movie that changed his life was the “Forbidden Planet,” based on Shakespeare’s play “The Storm” in the movie astronauts find an ancient civilization but millions of years our front.

The discovery of the Chauvet Cave in southern France, where we rediscover primitive man capable of an art and a subjectivity comparable to our time, is nothing more than the idea of ​​this Cave Man who subsists in us and insists on not going to the future.

The book does not end there, his belief in the future is strong and resilient, but one sentence of Schopenhauer translates well his vision: “Each one limit the world’s limits in his vision,” personally he would add but the limits are greater than our vision.

 

Kaku, M. (2011) Physics of the futuro: how science will shape human Destiny and our daily lives by the year 2100.

 

Deep Mind Advanced Project

20 Sep

Projects that attempted to simulate brain synapses, communication between neurons, were formerly called neural or neural networks, and had a large development and applications.
Gradually these projects were moving to studies of the mind and the code was being directed to Machine Learning that now using neural networks happened to be called deep learning, an advanced project is Google Brain.
Basically it is a system for the creation and training of neural networks that detect and decipher patterns and correlations in applied systems, although analogous, only imitate the way humans learn and reason about certain patterns.
Deep Learning is a branch of Machine Learning that operates a set of algorithms used to model data in a deep graph (complex networks) with several layers of processing, and that, unlike the training of neural networks, operate with both linear and non-linear patterns .
One platform that works with this concept is Tensor Flow, originated from an earlier project called DistBelief, is now an open source system, released by the Apache 2.0 team in November 2015, Google Brain uses this platform.
In May 2016, Google announced to this system the TPU (Tensor Processing Unit), a programmable artificial intelligence program accelerator with high transfer rate ability for low precision arithmetic (8 bts), which runs models and does not more training as neural networks did, a Deep Compute Engine stage begins.
The second step of this process in Google Compute Engine, the second generation of TPUs achieves up to 180 teraflops (10 ^ 12 floating point operations), and mounted in clusters of 64 TPUs, work up to 11.5 petaflops. 

 

Why did artificial intelligence emerge?

22 Aug

The long road covered by Artificial Intelligence includes the construction of languages such as Lisp, Prolog, Haskel, but environments like DialogFlow, Watson, and
At the end of the 20th century there was a major crisis in AI, but the emergence of researchers in the Semantic Web resumed study and gradually, subjects like IoT (Internet of Things), Natural Language and Machine Learning (there is no translation, but we could say learning by Machine) emerged.
The fact that scares some is linked to the concept of “intelligence” and “mind.”
This emergency has awakened the five largest technology companies in the world: Apple, Microsoft, Google, Amazon, and Facebook, which have started investing in smart people who can talk to humans.
Now 28% of consumers in the United States currently use some virtual assistant, these devices that integrate the AI technology of a voice assistant with a common home product has had great success, such as Alexa, Echo and Google Home, but the increase of sales to 39% annually were celebrated by companies.
In companies the concern for privacy, the operation is done using cloud storage, companies with sound assistants use different measures to protect the personal information of their consumers, but know that there are flaws in these defenses.
The audio sent to Google and Amazon is encrypted before being transmitted, leaving the data exchange supposedly safe, but the people database needs to be accessed in order for the machine to “develop” its learning ability.
Recently a researcher in the field of information security has demonstrated that it is possible to transform an Echo manufactured before 2017 into a perpetual recording instrument whose audio can be transmitted to a remote location without the user knowing.
To protect yourself from hackers, a good practice is to access your account and erase history of interactions with the services from time to time, but it remains to be seen if it has not been hacked in this period.
Apple’s Siri, instead of associating the recording with the user account, associates the collection of the interaction with you with a series of random numbers.
With or without security, this market has grown and companies are watching, it is irreversible.