Cogito ergo sum. I think; therefore I am (René Descartes, French philosopher)

Chinese researchers used quantum computers to break the RSA encryption. That thing means that the base algorithm has lost its trustworthiness. So to deny hackers' actions we should rethink our internet and its encryption quite soon, or we will be in trouble.  Quantum computers and AI are tools that can break any code. That made using binary systems. When we think about principles. That the China has in the quantum race, we must ask how long they have cracked those protection algorithms. Quantum computers are tools that can bring the arms race into the new spheres.  And that sphere is the cyber attack that can take down at least communication and positioning systems. The quantum computer can also hack things like GPS encryption. And that makes it possible to create effective spoofing attacks. Against global positioning systems. That kind of attack might have unexpected consequences. And it can cause danger to both, civil and military operations.  That means we should protect data mo

The AI or LLM is a tool that can generate code very fast. There are no errors in that code, and that makes it possible to create complicated code with very high speed and accuracy. The generative pre-trained transformer, GPT is the tool that can make it possible to create complicated code by giving orders to the language model. But can those tools be used for hacking?  Development of the hacking and malware tools should be denied. So that means hackers cannot make the code using GPT by ordering it to create spy- or other malware.  The hackers can benefit codes and other types of data, that the GPT collects for them. However, the hackers must have the right skills to customize that code. This kind of AI is safe. Or it should be safe. We know that by using command series is possible for high-level coders to cheat the AI to create malware. And that is one thing that should keep us alerted. The AI is the tool that can turn traditional coding into history.  The estrade is left for the top-l

"A biological model based on slime mold has provided astronomers with new insights into the structure and evolution of the universe. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, Slime Mold Algorithms Unlock Secrets of Vast Cosmic Structures) Biomimetics is the emulation of nature. The drone swarms can emulate slime molds and starling swarms. Another thing is that computer viruses are things that emulate natural viruses.  Biomimetics is not necessarily a physical thing. Also, virtual systems can emulate living nature. Things like the slime mold algorithm that uses slime mold as a model of the universe's structures emulates nature in the virtual model. The slime mold algorithm can also be used in things like drone swarms. Those systems can use slime mold algorithms to create drone swarms that behave like slime mold. Another way is to create an algorithm that makes drone swarms behave like starling swarms.  The networked systems make it possible that the dron

"This is an artist’s concept looking down into the core of the giant elliptical galaxy M87. A supermassive black hole ejects a 3,000-light-year-long jet of plasma, traveling at nearly the speed of light. In the foreground, to the right is a binary star system. The system is far from the black hole, but in the vicinity of the jet. In the system an aging, swelled-up, normal star spills hydrogen onto a burned-out white dwarf companion star. "(ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explosions) "As the hydrogen accumulates on the surface of the dwarf, it reaches a tipping point where it explodes like a hydrogen bomb. Novae frequently pop-off throughout the giant galaxy of 1 trillion stars, but those near the jet seem to explode more frequently. So far, it’s anybody’s guess why black hole jets enhance the rate of nova eruptions. Credit: NASA, ESA, Joseph Olmsted (STScI)" (ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explos

The problem that slows the development of the large language models, LLM is this. The next-generation system should also have a deep knowledge of what the words mean. When we use the conventional AI or LLM the system selects the keywords, and then it connects data from the different internet pages into the new entirety.  Deep-learning AI is harder to program, and then we must understand, that even if the AI has a long list of determinators in databases, that are connected with the words we must realize that the AI doesn't still think. It might have many determinators but the problem is that. This thing is only an enhanced version of the LLM. Even if every single word of the language is connected with thousands of words of explanation, the AI will not understand those words. It just connects those things and creates one new layer to the AI.  (Above) The neural- and KAN network structures. From above those layers would look like normal 2D networks. (Below). The image below is a more

"This image of galaxy GS-NDG-9422, captured by the James Webb Space Telescope’s NIRCam (Near-Infrared Camera) instrument, is presented with compass arrows, scale bar, and color key for reference."(ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe) "This image shows near-infrared wavelengths of light that have been translated into visible-light colors. The color key shows which filters were used when collecting the light. The color of each filter name is the visible light color used to represent the infrared light that passes through that filter. Credit: NASA, ESA, CSA, STScI, Alex Cameron (Oxford)"(ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe) The problem with models of how the first star is born is this. The firstborn stars require a gravity center or the quantum dot that can collect material from around them. The gravity centers are things that collect material