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A man in Iowa discovered that birds chirping before sunrise helps plants breathe by opening up their stomata. He found that this frequency is also present in classical music. So, he played classical music to his cornfields, resulting in 15-foot tall corn. When he played the music to his squash plants, they produced 5 squash per leaf instead of 1. Even his black walnut tree grew twice as fast with this method called Sonic Bloom, which combines plant vitamins and special frequencies to open up stomata.

Speaker 0: Nature is vital to our existence, offering essential resources and a home for wildlife. From the air we breathe to the food we eat, our ecosystems are essential to life on Earth. But as we embrace modern conveniences, such as wireless technology, we're introducing massive amounts of electromagnetic radiation into our environment. How does this invisible toxin affect the natural world we depend on? Let's explore. Wireless radiation, also known as radio frequency or RF radiation, is emitted by devices like cell phones, Wi Fi routers, and cell towers. It's all around us, helping us stay connected and communicate seamlessly. Both humans and animals rely on the Earth's natural electromagnetic field. The rapid expansion of wireless network technologies, like five g and the Internet of Things network, introduce new foreign electromagnetic signals, disrupting nature's delicate balance. The increasing presence of wireless radiation in our environment raises concerns about its impact on wildlife. Birds, bees, and other creatures rely heavily on natural electromagnetic fields for navigation and communication. What happens when these fields are disrupted? Studies show that birds experience disorientation due to interference with their magnetic navigation systems. This can lead to migratory disruptions and other behavior changes. Bees, crucial pollinators in our ecosystem, are also affected. Research indicates that exposure to wireless radiation decreases the colony strength and egg laying rates of bees. And it's not just animals and insects, plants too are affected by wireless radiation. Studies show that wireless radiation exposure damages trees, shortens plant lifespans, and contributes to rapid species decline. The underwater Internet of Things network, also known as the smart ocean, is a growing network of underwater devices and technologies that collect and transmit data beneath the ocean's surface. The wireless signals emitted by the underwater IOT network are completely audible to marine life and will become an inescapable torture chamber for ocean habitants such as dolphins and other marine mammals that use sonar and sound waves to navigate, communicate, feed, and reproduce. Wireless networks have significantly increased the radio frequency or RF environment on Earth by at least 10 to the eighteenth times. Additionally, five g deployment and other new internet services will require tens of thousands of additional satellites to be launched into Earth's atmosphere, which has already been shown to produce bright lights in the night sky and may produce, as of yet unknown, environmental consequences. Wireless radiation is a part of our modern world, and its convenience is undeniable. However, understanding and mitigating its environmental impact is essential for the health of our planet. Together, we can ensure that our technological progress does not come at the cost of our natural world. CHD's electromagnetic radiation and wireless team is fighting back against involuntary radiation exposure from wireless tech and the privacy invasion that comes with it.

Analogies may be the key to how our brains turn information into thoughts. While psychologists once believed logic was the foundation of thinking, it's now recognized that humans aren't always rational. We rely on analogies to form sentences and build concepts, like motherhood. The concept of motherhood expands from recognizing our own mothers to understanding the relationship exists for other people, animals, and even abstract ideas like mother nature. Humans survive by being smarter, using analogies to connect past events to new situations. Analogies help us determine what's important and bridge the gap between the unknown and the known. Therefore, analogies could be the main course of consciousness.

Speaker 0: Pattern recognition and deduction HI. Human intelligence in AI. AI generated voice, DORIS, and subtitles. Ecosystem pattern set minerals are provided by figs. Deduction path. Collection of minerals and trace elements within figs. Deduced from pattern sets. Sodium Na, 11 is provided by figs. Magnesium Mg, 12 is provided by figs. Phosphorus P, 15 is provided by figs. Potassium K, 19 is provided by figs. Calcium California, 20 is provided by figs. Manganese Mn, 25 is provided by FIGs. Iron Fe, 26 is provided by FIGs. Nickel Ni, 28 is provided by FIGs. Copper Cu, 29 is provided by FIGs. Zinc Zn, 30 is provided by Figs. Strontium Sr, 38 is provided by Figs. Deduction source for pattern sets are provided by Figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does. As is being demonstrated with pattern sets in Connect Four, I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge. New pattern sets from existing knowledge. Existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlink, Internet and social media are very well suited to host. Share and collaborate inequality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force. And AI trying to do it the human way. To be continued, source tomiaorg. Please like, follow and share. Speaker 1: Pattern recognition and deduction HI, human intelligence in AI. AI generated voice Christ and subtitles, ecosystem pattern set feed on figs, deduction path, collection of orders, families, and species that feed on figs, Deduced from pattern sets, humans feed on figs, birds feed on figs, rodents feed on figs, insects feed on figs, bats feed on figs, primates feed on figs, civets feed on figs, elephants feed on figs, kangaroos feed on figs. I think the concept of pattern recognition deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in Connect Four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked Internet and social media are very well suited to host, share and collaborate in equality on common reusable pattern sets knowledge for people. In fact pattern recognition deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and AI trying to do it the human way To be continued, sourceto mea.org. Please like, follow, and share. Speaker 2: Pattern recognition and deduction HI, human intelligence in my I generated voice Ethan and subtitles. Ecosystem pattern set are provided by figs deduction path, collection of nutrients and phytochemicals within figs. Deduced from pattern sets, dietary fibers are provided by figs, Vitamins are provided by figs. Minerals are provided by figs. Antioxidants are provided by figs. Natural sugars are provided by figs. Phenolic acids are provided by figs. Flavonoids are provided by figs. Carotenoids are provided by figs. Organic acids are provided by figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked Internet and social media are very well suited to host, share, and collaborate inequality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force, and I trying to do it the human way. To be continued, source to umia.org. Please like, follow, and share. Speaker 3: Pattern recognition and deduction HI, human intelligence in AI. AI generated voice Jessica and subtitles. Ecosystem pattern set birds feed on figs. Deduction path, collection of bird families, genera and species that feed on figs. Deduced from pattern sets, starlings feed on figs, blackbirds feed on figs, song thrushes feed on figs, wood pigeons feed on figs, jays feed on figs, house sparrows feed on figs, greenfinches feed on figs, fig birds feed on figs, Tucans feed on figs. Hornbills feed on figs. Pigeons feed on figs. Bowerbirds feed on figs. Crows feed on figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in Connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types. And as such, the uncensored hyperlinked Internet and social media are very well suited to host, share and collaborate in a quality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and AI trying to do it the human way. To be continued. Source tumia.org. Please like, follow, and share. Speaker 0: Pattern recognition and deduction HI. Health benefits of a right amount of magnesium are discussed within ecosystem pattern set. Deduction path. Collection of health benefits of a right amount of magnesium. Deduced from pattern sets. Good muscle function is a health benefit of a right amount of magnesium. Bone strength is a health benefit of a right amount of magnesium. The heart function is a health benefit of a right amount of magnesium. Blood pressure regulation is a health benefit of a right amount of magnesium. Relaxation is a health benefit of a right amount of Stress reduction is a health benefit of a right amount of magnesium. Sleep quality is a health benefit of a right amount of magnesium. Blood sugar regulation is a health benefit of a right amount of Magnesium. Inflammation reduction is a health benefit of a right amount of magnesium. Digestion support is a health benefit of a right amount of magnesium. Mental well-being is a health benefit of a right amount of magnesium. Migraine reduction is a health benefit of a right amount of magnesium. I think the concept of pattern recognition and deduction, HI. Human intelligence will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does. As is being demonstrated with pattern sets in Connect Four, I also think pattern sets will be a dominant structure to represent, store and recognize knowledge and deduce new knowledge. New pattern sets from existing knowledge. Existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlink ad Internet and social media are very well suited to host. Share and collaborate inequality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force.

Bird chirps act as an alarm for plants, with frequencies waking them for photosynthesis—a phenomenon called sonic bloom. The idea of exposing plants to music led to experiments: in the 1960s, balsam plants exposed to classical music showed a growth rate 20% higher and 72% more biomass than controls. Ancient Indian classical music increased yield 25 to 60% over the national average, attributed to frequencies stimulating transportation of nutrients, proteins, and organelles in the cytoplasm. An Australian study noted plants don’t have ears but can sense sound via a body part that captures vibrations. They don’t react to all music; favorable genres include classical, jazz, meditation, singing bowls, violins, and symphonic orchestras, while metal, hard rock, hip hop, techno, or high pitched singing are not liked. You could also pop a radio on classical music to boost yield.

Kidney cells exhibit memory-like capabilities, demonstrated by the massed-space effect. This effect, known to improve human memory when information is spaced out, was observed in kidney cells exposed to simulated chemical signals. The cells retained information better when the signals were presented at intervals. This suggests kidney cells possess a form of cellular memory, enabling them to learn and adapt. This raises questions about the evolutionary origins of memory. It's possible that memory mechanisms initially evolved in single-celled organisms as an adaptation strategy. These ancient mechanisms may have then led to the development of more complex memory forms in animals with brains.

Plants exhibit intelligence by perceiving and reacting to their environment without eyes or brains. Research shows they can see light and colors, learn, remember, and communicate. Nature also reveals intelligence in animals like dolphins recognizing themselves in mirrors and slime molds solving mazes efficiently. Slime molds are studied for designing solutions to traffic and pipeline issues.

House plants can sense telepathic communication and have shown remarkable awareness. Studies indicate that if you place EEGs on plants and then send their caretaker away, the plants react positively when the caretaker is within 2 kilometers. This suggests that plants have a level of sentience and connection, even when isolated in a home. They seem to respond to the anticipation of their caretaker's return, highlighting their remarkable sensitivity and bond with humans.

Scientists at New York University discovered that nerve and kidney tissue cells can learn and form memories similarly to brain cells. When exposed to chemical signals, these cells activated a memory gene, enabling them to recognize information and form memories. The cells also responded to the mass intermittent effect, remembering information better when repeated at intervals.

In the future, technology evolves rapidly and we can create entire worlds instantly. We had to learn to control our minds to prevent negative forces from destroying us. We are from the future because plants harvest light in an impossible way. Photons of light should collide with other particles, but they don't. Instead, plants put photons into a quantum superposition, multiplying them into every possible path. When one path reaches the core without fail, it becomes the only possibility that ever existed. This is how photons reach the planet's core with incredible precision. We are from the future, and together we can bring light to the world.

Humans enter the world in a unique state, unlike other animals that are born preprogrammed for survival. This distinctiveness lies in our brain's plasticity, allowing us to absorb and learn from our environment. This adaptability has enabled us to thrive as a species, leading to remarkable achievements such as building cities, composing symphonies, and exploring space. Our capacity to learn from the past and innovate has set us apart, allowing us to dominate various aspects of life on Earth.

Pattern recognition and deduction HI, human intelligence in AI. AI-generated voice, subtitles. Ecosystem pattern set fed on figs; deduction path; minerals and nutrients within figs deduced from pattern sets, including sodium, magnesium, phosphorus, potassium, calcium, manganese, iron, nickel, copper, zinc, and strontium. Pattern sets are linked by deduction path, and the hyperlinked Internet and social media are well suited to host, share, and collaborate on common reusable pattern sets knowledge. Pattern recognition and deduction HI will be a central paradigm in AI because it does not depend on huge computing power and memory size as brute force AI does; pattern sets will be a dominant structure to represent, store, recognize knowledge, and deduce new knowledge from existing pattern sets. Humans and animals feed on figs. Connect Four demonstrations illustrate pattern sets. Magnesium benefits include muscle function, bone strength, heart function, blood pressure regulation, relaxation, sleep quality, and inflammation reduction.

Pattern Recognition and Deduction HI, Human Intelligence in AI. AI generated Voice Jessica and Subtitles. Ecosystem Patterns Set Birds Feed on Figs. Deduction Path Collection of bird families, genera and species that feed on figs. Deduced from pattern sets: Starlings feed on figs, Blackbirds feed on figs, Song thrushes feed on figs, Wood pigeons feed on figs, Jays feed on figs, House sparrows feed on figs. Green finches feed on figs. Fig birds feed on figs. Tucans feed on figs. Hornbills feed on figs. Pigeons feed on figs. Bowerbirds feed on figs. Crows feed on figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked internet and social media are very well suited to host, share and collaborate in a quality on common reusable pattern sets, knowledge for people. In fact pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and a I trying to do it the human way. To be continued. Source2mia.org Please like, follow and share.

Pattern recognition and deduction HI. Human intelligence in AI. AI generated voice, DORIS, and subtitles. Ecosystem pattern set minerals are provided by figs. Deduction path. Collection of minerals and trace elements within figs. Deduced from pattern sets. Sodium 11 is provided by figs. Magnesium 12 is provided by figs. Phosphorus 15 is provided by figs. Potassium 19 is provided by figs. Calcium 20 is provided by figs. Manganese 25 is provided by FIGs. Iron 26 is provided by FIGs. Nickel 28 is provided by FIGs. Copper 29 is provided by FIGs. Zinc 30 is provided by Figs. Strontium 38 is provided by Figs. Deduction source for pattern sets are provided by Figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does. As is being demonstrated with pattern sets in Connect Four, I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge. New pattern sets from existing knowledge. Existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlink Internet and social media are very well suited to host, share and collaborate inequality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force. And AI trying to do it the human way. To be continued, source tomia.org. Please like, follow and share. Speaker 1: Pattern recognition and deduction HI, human intelligence in AI. AI generated voice Christ and subtitles, ecosystem pattern set feed on figs, deduction path, collection of orders, families, and species that feed on figs, Deduced from pattern sets, humans feed on figs, birds feed on figs, rodents feed on figs, insects feed on figs, bats feed on figs, primates feed on figs, civets feed on figs, elephants feed on figs, kangaroos feed on figs. I think the concept of pattern recognition deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in Connect Four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked Internet and social media are very well suited to host, share and collaborate in equality on common reusable pattern sets knowledge for people. In fact pattern recognition deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and AI trying to do it the human way To be continued, source to mea.org. Please like, follow, and share. Speaker 2: Pattern recognition and deduction HI, human intelligence in my AI generated voice Ethan and subtitles. Ecosystem pattern set are provided by figs deduction path, collection of nutrients and phytochemicals within figs. Deduced from pattern sets, dietary fibers are provided by figs, Vitamins are provided by figs. Minerals are provided by figs. Antioxidants are provided by figs. Natural sugars are provided by figs. Phenolic acids are provided by figs. Flavonthriols are provided by figs. Carotenoids are provided by figs. Organic acids are provided by figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force I does as is being demonstrated with pattern sets in connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked Internet and social media are very well suited to host, share, and collaborate inequality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force, and I trying to do it the human way. To be continued, source to umia.org. Please like, follow, and share. Speaker 3: Pattern recognition and deduction HI, human intelligence in AI. AI generated voice Jessica and subtitles. Ecosystem pattern set birds feed on figs. Deduction path, collection of bird families, genera and species that feed on figs. Deduced from pattern sets, starlings feed on figs, blackbirds feed on figs, song thrushes feed on figs, wood pigeons feed on figs, jays feed on figs, house sparrows feed on figs, greenfinches feed on figs, fig birds feed on figs, Tucans feed on figs. Hornbills feed on figs. Pigeons feed on figs. Bowerbirds feed on figs. Crows feed on figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in Connect Four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types. And as such, the uncensored hyperlinked Internet and social media are very well suited to host, share and collaborate in a quality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and AI trying to do it the human way. To be continued. Source tumia.org. Please like, follow, and share.

Pattern recognition and deduction HI, human intelligence in my I generated voice Ethan and subtitles. Ecosystem pattern set are provided by figs deduction path, collection of nutrients and phytochemicals within figs. Deduced from pattern sets, dietary fibers are provided by figs, vitamins are provided by figs, minerals are provided by figs, antioxidants are provided by figs, natural sugars are provided by figs, Phenolic acids are provided by figs. Flavonthriols are provided by figs. Carotenoids are provided by figs. Organic acids are provided by figs. I think the concept of pattern recognition and deduction, HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force I does as is being demonstrated with pattern sets in Connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked Internet and social media are very well suited to host, share, and collaborate in equality on common reusable pattern sets knowledge for people. In fact, pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force. And I trying to do it the human way. To be continued, source to umea.org. Please like, follow, and share.