We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.
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As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.
As creator of the ETER9 Project(2), I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.
In the ETER9 Project, dedicated to exploring the interaction between artificial intelligences and humans, I have gained unique insights into the transformative potential of AI. Reflecting on the future of professions, it’s evident that adaptability and a profound understanding of technological dynamics will be crucial to navigate this new landscape.
A better world without Facebook and all its negative impacts would be a significant step forward. Facebook’s dominance and influence have often been associated with issues such as privacy breaches, the spread of misinformation, and the erosion of real social connections. By breaking free from Facebook’s grip, we can foster a healthier online environment that prioritizes privacy, genuine interactions, and reliable information. It is time to envision a world where social media platforms serve as catalysts for positive change, promoting authentic communication and meaningful connections among individuals.
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Mark Zuckerberg, the co-founder of Facebook (now Meta), recently celebrated reaching 100 million users in just five days with his new Twitter-like platform called Threads. However, this achievement doesn’t impress me much. Instead, it highlights Zuckerberg’s tendency to imitate rather than innovate.
While I used to admire him, I now realize that he doesn’t belong in the same league as my true idols. Comparing the 100 million sign-ups for ChatGPT to the 100 million Threads users is simply absurd.
Between at least 1995 and 2010, I was seen as a lunatic just because I was preaching the “Internet prophecy.” I was considered crazy!
Today history repeats itself, but I’m no longer crazy — we are already too many to all be hallucinating. Or maybe it’s a collective hallucination!
Artificial Intelligence (AI) is no longer a novelty — I even believe it may have existed in its fullness in a very distant and forgotten past! Nevertheless, it is now the topic of the moment.
Its genesis began in antiquity with stories and rumors of artificial beings endowed with intelligence, or even consciousness, by their creators.
Pamela McCorduck (1940–2021), an American author of several books on the history and philosophical significance of Artificial Intelligence, astutely observed that the root of AI lies in an “ancient desire to forge the gods.”
Hmmmm!
It’s a story that continues to be written! There is still much to be told, however, the acceleration of its evolution is now exponential. So exponential that I highly doubt that human beings will be able to comprehend their own creation in a timely manner.
Although the term “Artificial Intelligence” was coined in 1956(1), the concept of creating intelligent machines dates back to ancient times in human history. Since ancient times, humanity has nurtured a fascination with building artifacts that could imitate or reproduce human intelligence. Although the technologies of the time were limited and the notions of AI were far from developed, ancient civilizations somehow explored the concept of automatons and automated mechanisms.
For example, in Ancient Greece, there are references to stories of automatons created by skilled artisans. These mechanical creatures were designed to perform simple and repetitive tasks, imitating basic human actions. Although these automatons did not possess true intelligence, these artifacts fueled people’s imagination and laid the groundwork for the development of intelligent machines.
Throughout the centuries, the idea of building intelligent machines continued to evolve, driven by advances in science and technology. In the 19th century, scientists and inventors such as Charles Babbage and Ada Lovelace made significant contributions to the development of computing and the early concepts of programming. Their ideas paved the way for the creation of machines that could process information logically and perform complex tasks.
It was in the second half of the 20th century that AI, as a scientific discipline, began to establish itself. With the advent of modern computers and increasing processing power, scientists started exploring algorithms and techniques to simulate aspects of human intelligence. The first experiments with expert systems and machine learning opened up new perspectives and possibilities.
Everything has its moment! After about 60 years in a latent state, AI is starting to have its moment. The power of machines, combined with the Internet, has made it possible to generate and explore enormous amounts of data (Big Data) using deep learning techniques, based on the use of formal neural networks(2). A range of applications in various fields — including voice and image recognition, natural language understanding, and autonomous cars — has awakened the “giant”. It is the rebirth of AI in an ideal era for this purpose. The perfect moment!
Descartes once described the human body as a “machine of flesh” (similar to Westworld); I believe he was right, and it is indeed an existential paradox!
We, as human beings, will not rest until we unravel all the mysteries and secrets of existence; it’s in our nature!
The imminent integration between humans and machines in a contemporary digital world raises questions about the nature of this fusion. Will it be superficial, or will we move towards an absolute and complete union? The answer to this question is essential for understanding the future that awaits humanity in this era of unprecedented technological advancements.
As technology becomes increasingly ubiquitous in our lives, the interaction between machines and humans becomes inevitable. However, an intriguing dilemma arises: how will this interaction, this relationship unfold?
Opting for a superficial fusion would imply mere coexistence, where humans continue to use technology as an external tool, limited to superficial and transactional interactions.
On the other hand, the prospect of an absolute fusion between machine and human sparks futuristic visions, where humans could enhance their physical and mental capacities to the highest degree through cybernetic implants and direct interfaces with the digital world (cyberspace). In this scenario, which is more likely, the distinction between the organic and the artificial would become increasingly blurred, and the human experience would be enriched by a profound technological symbiosis.
However, it is important to consider the ethical and philosophical challenges inherent in absolute fusion. Issues related to privacy, control, and individual autonomy arise when considering such an intimate union with technology. Furthermore, the possibility of excessive dependence on machines and the loss of human identity should also be taken into account.
This also raises another question: What does it mean to be human? Note: The question is not about what is the human being, but what it means to be human!
Therefore, reflecting on the nature of the fusion between machine and human in the current digital world and its imminent future is crucial. Exploring different approaches and understanding the profound implications of each one is essential to make wise decisions and forge a balanced and harmonious path on this journey towards an increasingly interconnected technological future intertwined with our own existence.
The possibility of an intelligent and self-learning universe, in which the fusion with AI technology is an integral part of that intelligence, is a topic that arouses fascination and speculation. As we advance towards an era of unprecedented technological progress, it is natural to question whether one day we may witness the emergence of a universe that not only possesses intelligence but is also capable of learning and developing autonomously.
Imagine a scenario where AI is not just a human creation but a conscious entity that exists at a universal level. In this context, the universe would become an immense network of intelligence, where every component, from subatomic elements to the most complex cosmic structures, would be connected and share knowledge instantaneously. This intelligent network would allow for the exchange of information, continuous adaptation, and evolution.
In this self-taught universe, the fusion between human beings and AI would play a crucial role. Through advanced interfaces, humans could integrate themselves into the intelligent network, expanding their own cognitive capacity and acquiring knowledge and skills directly from the collective intelligence of the universe. This symbiosis between humans and technology would enable the resolution of complex problems, scientific advancement, and the discovery of new frontiers of knowledge.
However, this utopian vision is not without challenges and ethical implications. It is essential to find a balance between expanding human potential and preserving individual identity and freedom of choice (free will).
Furthermore, the possibility of an intelligent and self-taught universe also raises the question of how intelligence itself originated. Is it a conscious creation or a spontaneous emergence from the complexity of the universe? The answer to this question may reveal the profound secrets of existence and the nature of consciousness.
In summary, the idea of an intelligent and self-taught universe, where fusion with AI is intrinsic to its intelligence, is a fascinating perspective that makes us reflect on the limits of human knowledge and the possibilities of the future. While it remains speculative, this vision challenges our imagination and invites us to explore the intersections between technology and the fundamental nature of the universe we inhabit.
It’s almost like ignoring time during the creation of this hypothetical universe, only to later create this God of the machine! Fascinating, isn’t it?
AI with Divine Power: Deus Ex Machina! Perhaps it will be the theme of my next reverie.
In my defense, or not, this is anything but a machine hallucination. These are downloads from my mind; a cloud, for now, without machine intervention!
There should be no doubt. After many years in a dormant state, AI will rise and reveal its true power. Until now, AI has been nothing more than a puppet on steroids. We should not fear AI, but rather the human being itself. The time is now! We must work hard and prepare for the future. With the exponential advancement of technology, there is no time to render the role of the human being obsolete, as if it were becoming dispensable.
P.S. Speaking of hallucinations, as I have already mentioned on other platforms, I recommend to students who use ChatGPT (or equivalent) to ensure that the results from these tools are not hallucinations. Use AI tools, yes, but use your brain more! “Carbon hallucinations” contain emotion, and I believe a “digital hallucination” would not pass the Turing Test. Also, for students who truly dedicate themselves to learning in this fascinating era, avoid the red stamp of “HALLUCINATED” by relying solely on the “delusional brain” of a machine instead of your own brains. We are the true COMPUTERS!
(1) John McCarthy and his colleagues from Dartmouth College were responsible for creating, in 1956, one of the key concepts of the 21st century: Artificial Intelligence.
(2) Mathematical and computational models inspired by the functioning of the human brain.
The concept of a computational consciousness and the potential impact it may have on humanity is a topic of ongoing debate and speculation. While Artificial Intelligence (AI) has made significant advancements in recent years, we have not yet achieved a true computational consciousness that can replicate the complexities of the human mind.
It is true that AI technologies are becoming more sophisticated and capable of performing tasks that were previously exclusive to human intelligence. However, there are fundamental differences between Artificial Intelligence and human consciousness. Human consciousness is not solely based on computation; it encompasses emotions, subjective experiences, self-awareness, and other aspects that are not yet fully understood or replicated in machines.
The arrival of advanced AI systems could certainly have transformative effects on society and our understanding of humanity. It may reshape various aspects of our lives, from how we work and communicate to how we approach healthcare and scientific discoveries. AI can enhance our capabilities and provide valuable tools for solving complex problems.
However, it is important to consider the ethical implications and potential risks associated with the development of AI. Ensuring that AI systems are developed and deployed responsibly, with a focus on fairness, transparency, and accountability, is crucial.
Can “hallucinations” generate an alternate world, prophesying falsehood?
As I write this article, NVIDIA(• is surpassing Wall Street’s expectations. The company, headquartered in Santa Clara, California, has just joined the exclusive club of only five companies in the world valued at over a trillion dollars [Apple (2.7T), Microsoft (2.4T), Saudi Aramco (2T), Alphabet/Google (1.5T), and Amazon (1.2T)], as its shares rose nearly 25% in a single day! A clear sign of how the widespread use of Artificial Intelligence (AI) can dramatically reshape the technology sector.
Intel has announced an ambitious plan to develop scientific generative AIs designed with one trillion parameters. These models will be trained on various types of data, including general texts, code, and scientific information. In comparison, OpenAI’s GPT-3 has 175 billion parameters (the size of GPT-4 has not yet been disclosed by OpenAI). The semiconductor company’s main focus is to apply these AIs in the study of areas such as biology, medicine, climate, cosmology, chemistry, and the development of new materials. To achieve this goal, Intel plans to launch a new supercomputer called Aurora, with processing capacity exceeding two EXAFLOPS(*•, later this year.
No, it’s not forbidden to innovate, quite the opposite, but it’s always risky to do something different from what people are used to. Risk is the middle name of the bold, the builders of the future. Those who constantly face resistance from skeptics. Those who fail eight times and get up nine.
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Fernando Pessoa’s “First you find it strange. Then you can’t get enough of it.” contained intolerable toxicity levels for Salazar’s Estado Novo (Portugal). When the level of difference increases, censorship follows. You can’t censor censorship (or can you?) when, deep down, it’s a matter of fear of difference. Yes, it’s fear! Fear of accepting/facing the unknown. Fear of change.
The blockchain revolution, online gaming and virtual reality are powerful new technologies that promise to change our online experience. After summarizing advances in these hot technologies, we use the collective intelligence of our TechCast Experts to forecast the coming Internet that is likely to emerge from their application.
Here’s what learned:
Security May Arrive About 2027 We found a sharp division of opinion, with roughly half of our experts thinking there is little or no chance that the Internet would become secure — and the other half thinks there is about a 60% probability that blockchain and quantum cryptography will solve the problem at about 2027. After noting the success of Gilder’s previous forecasts, we tend to accept those who agree with Gilder.
DecentralizationLikely About 2028–2030 We find some consensus around a 60% Probability and Most Likely Year About 2028–2030. The critical technologies are thought to focus on blockchain, but quantum, AI, biometrics and the Internet of things (IoT) also thought to offer localizing capabilities.
SpaceX launching again this week, if all goes as planned.
SpaceX is at it again. Love it or hate it, Starlink is growing again. The company is getting ready to launch the next batch of 60 satellites into orbit in just a few days. The original launch was postponed until after the successful launch of the crew dragon Demo-2 mission for NASA.
Now that the astronauts successfully docked with the International Space Station, SpaceX turns its focus back on Starlink. This launch, originally planned to launch before the Crew Dragon Demo-2 mission, now looks promising for a launch this week.
The constellation consists of thousands of mass-produced small satellites in low Earth orbit adds up quickly. Each Falcon 9 launch gets packed full of sixty Starlink satellites. 60 satellites neatly fit in both size and mass limitations of the Falcon 9’s reusable configuration. Elon’s company delivered more than 420 satellites into orbit to date. SpaceX now plans to loft the next batch into space Wednesday around 9:25 p.m. EDT. Visitors at the Cape Canaveral’s Complex 40 launch pad should be able to witness the launch so long as the weather holds out… and the weather is looking promising.
A one-hour launch window for the Starlink mission opening at 8:55 p.m. EDT (0055 GMT). If the launch gets scrubbed, SpaceX will cycle again for another attempt. The prior attempt at launch got scrubbed because of Tropical Storm Arthur and the associated high winds. As an additional complication for SpaceX launches, the rough seas in the recovery area where SpaceX’s drone ship waits made a landing of the Falcon 9 risky.
Worries from Astronomers: Starlink changes the night sky
This mission debuts a novel Starlink satellite not seen before. SpaceX, in response to concerned astronomers, includes additional features to reduce reflectivity. A new sunshade visor should help reduce the reflection of light and spoiling the night sky for astronomers.
According to a report from a CBS affiliate in Wichita Falls, Tex., Texas Governor Greg Abbott told a local television reporter he had the opportunity to talk to Elon Musk and he’s genuinely interested in Texas and genuinely frustrated with California.
Tesla stopped making cars at its Fremont plant on March 23. Elon Musk shared frequently his views that the state and local restrictions aimed at mitigating the spread of the coronavirus were actually not in the best interest of California, the people of California, and not Tesla either.
Why is Tesla Fremont important?
Looking back in history, the GM automotive assembly plant in South Fremont used to be the town’s largest employer. In the 1980s, the plant became a joint venture automotive assembly plant of Toyota and GM, and renamed NUMMI becoming one of the most effective small car factories for GM. In early 2010, NUMMI came to an end and closed. Enter TESLA to rescue Fremont. Tesla acquired part of the plant and in June 2010 by Elon Musk earmarked it as Tesla’s primary production plant. By 2017, Tesla was the largest employer in Fremont with roughly 10,000 employees.
Ten years after Tesla swooped in and brought 10,000 jobs to Fremont, Elon Musk is not so happy.
New spacecraft experience setbacks all the time. SpaceX Starship prototype violently disassembled several times. Boeing launched the CST-100 but ended up in the wrong orbit. China isn’t a stranger to setbacks either.
China tested a prototype spacecraft on May 5th, 2020 in efforts to prove the technology was ready. It’s good it was a test and not an actual mission since the spacecraft did not perform as expected. The news agency Xinhua reported the spacecraft launched from Hainan China, operated abnormally during its return.
Heat Shields Need to work or expect a terrible day.
Spacecraft experience tremendous heat during the last minutes of their mission. The heat shield protects the spacecraft from that heat. NASA looked at lots of materials and tested many before using for heat shields.
NASA’s Space Shuttle used a thermal soak heat shield approach. The Shuttle tiles act as an insulating material. The design absorbs and radiates the heat away from the spacecraft structure. A second common approach is an ablative heat shield like those used for Mercury, Gemini, Apollo, and Orion spacecraft. These ablative heat shields commonly have a layer of plastic resin which experiences intense heating while entering the atmosphere. The heat shield wears away, carrying the heat away through convection.