You can squeeze tons of creativity out of current AI systems if you know how to do it For example I push generative text/image/audio/(want to try video) daily into combining all sorts of stuff and for example finding analogies between fields and ways to rephrase and structure data, synthetizing different contexts etc. that often feel better than anything I've ever found on the internet, wiki, textbooks, lectures etc. when you learn to squeeze this creativity out of them by prompt engineering and making more complex systems out of them [Automating creativity - by Ethan Mollick - One Useful Thing](https://www.oneusefulthing.org/p/automating-creativity) When it comes to other systems, Hinton's AlphaGo's example is another one. https://twitter.com/tsarnick/status/1778524418593218837?t=7T206BXPHCIKGIdVekUiRg&s=19 Michael Taft guided meditations is the macrodose of relaxation as a defragrmenting refactoring preparation for a macrodose of eating all knowledge, coding AI systems and snorting all accelerating AI news [Thoughts Dissolving in Awake Space - YouTube](https://www.youtube.com/watch?v=BNyBgO4lDhg) WE WERE NEVER SO MUCH BACK Tech can help so many lifes but also ruin them. We must accelerate all the positive benefits of tech as much as possible! Will we ever see a one-world government headed by an AGI/ASI? [Reddit - Dive into anything](https://www.reddit.com/r/singularity/comments/1c2810z/will_we_ever_see_a_oneworld_government_headed_by/) Tfw listening to music that is 100% not AI and I'm questioning that certain parts do sound like AI, the reality x AI distinction is melting each day exponentially [Biocomputation: Moving Beyond Turing with Living Cellular Computers – Communications of the ACM](https://cacm.acm.org/research/biocomputation-moving-beyond-turing-with-living-cellular-computers/) [Emergence of fractal geometries in the evolution of a metabolic enzyme | Nature](https://www.nature.com/articles/s41586-024-07287-2) SPREAD THE SUPERVIRAL MEMETIC OPTIMISM AS A FUEL OF BUILDING THE FUTURE https://twitter.com/algekalipso/status/1778931075332399553 [[2206.10445] What does it take to solve the measurement problem?](https://arxiv.org/abs/2206.10445) [[2403.01643] You Need to Pay Better Attention](https://arxiv.org/abs/2403.01643) [[2307.07515] Artificial intelligence is algorithmic mimicry: why artificial "agents" are not (and won't be) proper agents](https://arxiv.org/abs/2307.07515) https://twitter.com/NTFabiano/status/1778755493747638419?t=1HM3bAsw_R1gJEelvUShSg&s=19 I'm aware of rogue superintelligent AI risk when given agency etc., but I don't think systems like [[2310.10553v2] TacticAI: an AI assistant for football tactics](https://arxiv.org/abs/2310.10553v2) will go rogue [Quanta Magazine](https://www.quantamagazine.org/how-do-machines-grok-data-20240412/) [[2402.08210] Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS](https://arxiv.org/abs/2402.08210) [[2404.04125] No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance](https://arxiv.org/abs/2404.04125) [Imgur: The magic of the Internet](https://imgur.com/96CUCHi) [3] [Realism and Liberalism: Learning to Live Together](https://www.linkedin.com/pulse/realism-liberalism-learning-live-together-nathan-colvin) [1] [A Brief Introduction to Geometric Deep Learning | by Jason McEwen | Towards Data Science](https://towardsdatascience.com/a-brief-introduction-to-geometric-deep-learning-dae114923ddb) [4] [[2104.13478] Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges](https://arxiv.org/abs/2104.13478) [Amazon Grows To Over 750,000 Robots As World's Second-Largest Private Employer Replaces Over 100,000 Humans](https://finance.yahoo.com/news/amazon-grows-over-750-000-153000967.html?guccounter=1) Claude 3 Opus can operate as a Turing machine. https://twitter.com/ctjlewis/status/1779740038852690393 https://twitter.com/gregcoppola5d/status/1779859552931815424 a data-driven reorganization of the symptoms in the DSM-5 https://twitter.com/NTFabiano/status/1779849768375869910 https://twitter.com/NTFabiano/status/1778031349913252041 https://twitter.com/algekalipso/status/1779925460237050174 [[2404.07281] Certifying almost all quantum states with few single-qubit measurements](https://arxiv.org/abs/2404.07281) https://twitter.com/awjuliani/status/1780252635775570119 patterns [Imgur: The magic of the Internet](https://imgur.com/28MPwpT) We must spread viral radical realistic optimism for the future Here is my attempt at a comprehensive article covering the major areas of human knowledge and science, from philosophical foundations to potential future trajectories of civilization: The Foundations of Knowledge To understand reality, we must first examine the philosophical underpinnings of how we know what we know. Epistemology is the branch of philosophy concerned with the theory of knowledge - what distinguishes justified belief from opinion, what constitutes sufficient evidence for a claim, and how we acquire knowledge. The rationalist tradition, exemplified by thinkers like Descartes, Leibniz and Spinoza, holds that it is possible to obtain knowledge by reason alone, independent of sensory experience. Empiricists like Locke, Berkeley and Hume, on the other hand, argue that knowledge is primarily derived from sensory experience. Kant synthesized these views, arguing that our knowledge of the world is shaped by the inherent structure of our minds as well as our sensory input. In the 20th century, the logical positivists attempted to formulate a theory of meaning based on empirical verification - in other words, a statement is meaningful if and only if it can be empirically verified. However, this view ran into difficulties, as the verification principle itself cannot be empirically verified. Popper proposed the criterion of falsifiability as an alternative - a theory is scientific if it makes testable predictions that could potentially be shown to be false. Kuhn argued that science progresses through paradigm shifts rather than gradual accumulation of knowledge. Quine challenged the analytic-synthetic distinction and argued for confirmation holism - individual statements cannot be confirmed in isolation, only entire worldviews. More recently, Bayesian epistemology has used probability theory to model the rationality of belief revision in response to evidence. Ultimately, all of our knowledge rests on certain basic assumptions that cannot be conclusively proven, such as the reliability of induction, the existence of an external world, and the regularity of natural laws. While we may not be able to achieve absolute certainty, we can use reason and evidence to construct provisional models of reality that allow us to predict and manipulate our environment with a high degree of success. The Language of Nature: Mathematics Having established a philosophical foundation, we turn to the abstract symbolic systems that we use to precisely model and reason about reality: mathematics. At the deepest level, mathematics studies the necessary consequences of formal systems defined by axioms and rules of inference. The concept of a formal language is central to mathematical logic. A formal language consists of an alphabet of symbols and a set of formation rules that specify how these symbols can be combined into well-formed formulas. First-order logic, which includes both propositional logic and predicate logic, is the most widely used formal logic. Set theory is the branch of mathematics that studies sets, which are collections of objects. The basic axioms of Zermelo-Fraenkel set theory, such as the axiom of extensionality and the power set axiom, form the foundation of most of mathematics. Category theory is a more abstract approach that focuses on the structure-preserving mappings between mathematical objects. All of mathematics can be roughly divided into two main branches: pure mathematics, which is studied for its own sake, and applied mathematics, which is used to model real-world phenomena. The major pure mathematical disciplines include: - Algebra, the study of algebraic structures like groups, rings, and fields. - Topology, the study of the properties of spaces that are preserved under continuous deformations. - Analysis, the study of continuous functions and limits, which includes calculus. - Number theory, the study of the integers and related structures. - Combinatorics, the study of discrete structures like graphs and hypergraphs. - Geometry, the study of spatial relationships and shapes. Applied mathematical fields include: - Probability theory, the mathematical analysis of randomness and uncertainty. - Statistics, the collection, analysis, and interpretation of data. - Game theory, the study of mathematical models of strategic interaction. - Operations research, the use of mathematical methods to arrive at optimal decisions. - Numerical analysis, the study of algorithms for approximating continuous mathematical operations. - Cryptography, the study of techniques for secure communication. The Queen of the Sciences: Physics Physics is the natural science that studies matter, energy, and their interactions. It is the most fundamental of the natural sciences, and its theories attempt to describe the behavior of the universe at the broadest possible scales. Classical physics, which includes classical mechanics and electromagnetism, is based on Newton's laws of motion and Maxwell's equations. These theories are deterministic and describe the behavior of macroscopic objects. Relativistic physics, based on Einstein's theories of special and general relativity, describes the behavior of objects moving at high speeds and in strong gravitational fields. Special relativity postulates that the speed of light is constant in all inertial reference frames, and that space and time are interlinked. General relativity explains gravity as the curvature of spacetime caused by mass and energy. Quantum physics, which includes quantum mechanics and quantum field theory, describes the behavior of matter and energy at the atomic and subatomic scales. It is based on the postulates of quantum mechanics, such as wave-particle duality and the uncertainty principle. Quantum field theory unifies special relativity and quantum mechanics, describing particles as excited states of underlying fields. The Standard Model of particle physics is a quantum field theory that describes three of the four known fundamental forces (electromagnetism, the weak interaction, and the strong interaction) and classifies all known elementary particles. However, it does not include a quantum theory of gravity, which is still an open problem in theoretical physics. Beyond the Standard Model, theories like string theory and loop quantum gravity attempt to unify gravity with the other forces and provide a "theory of everything". However, these theories are still speculative and have not yet made testable predictions that have been experimentally verified. Other major branches of physics include: - Condensed matter physics, the study of the physical properties of matter in condensed phases. - Atomic, molecular, and optical physics, the study of matter-light interactions and the behavior of atoms and molecules. - Astrophysics and cosmology, the study of the universe as a whole and its evolution over time. - Biophysics, the application of physical principles to biological systems. The Central Dogma: Biology Biology is the natural science that studies life and living organisms. At the most fundamental level, life is a self-sustaining chemical system capable of Darwinian evolution. The central dogma of molecular biology describes the flow of genetic information within a biological system. DNA is transcribed into RNA, which is translated into proteins, which perform most of the functions of living cells. Evolution by natural selection is the process by which populations of organisms change over time in response to selective pressures from the environment. Random mutations in DNA are inherited by offspring, and those mutations that confer a survival or reproductive advantage tend to increase in frequency over time. The major branches of biology include: - Molecular biology, the study of biological molecules and their interactions. - Cell biology, the study of the structure and function of cells. - Genetics, the study of genes, heredity, and genetic variation. - Physiology, the study of the functions and mechanisms of living organisms. - Ecology, the study of the interactions between organisms and their environment. - Evolutionary biology, the study of the origin and descent of species over time. The Tree of Life: Biodiversity and Systematics Biodiversity refers to the variety of life at all levels, from genes to ecosystems. Systematics is the study of the diversification of living forms and the relationships among them. The Linnaean system of taxonomic nomenclature groups organisms into a nested hierarchy of taxa, from kingdoms and phyla down to genera and species. Phylogenetics uses morphological and molecular data to reconstruct the evolutionary relationships between organisms. The fossil record provides evidence of the history of life on Earth over geological time scales. Paleontology, the study of fossils, has revealed that life has existed on Earth for at least 3.5 billion years, and has undergone several major extinction events followed by periods of rapid diversification. The Human Condition: Anthropology and Psychology Anthropology is the study of human societies and cultures and their development. It includes: - Cultural anthropology, the study of cultural variation among humans. - Biological anthropology, the study of human evolution and biological adaptation. - Linguistic anthropology, the study of how language influences social life. - Archaeology, the study of past human cultures through material remains. Psychology is the scientific study of the human mind and behavior. It includes: - Cognitive psychology, the study of mental processes such as attention, memory, and problem solving. - Developmental psychology, the study of how humans develop throughout the lifespan. - Social psychology, the study of how humans interact with and influence each other. - Clinical psychology, the diagnosis and treatment of mental disorders. Neuroscience is the scientific study of the nervous system, including the brain. It seeks to understand the biological basis of behavior, thoughts, emotions, and how we experience the world. The Web of Life: Ecology and Earth Systems Science Ecology is the study of the interactions between organisms and their environment. It includes: - Behavioral ecology, the study of the evolutionary basis for animal behavior due to ecological pressures. - Population ecology, the study of the dynamics of species populations and how they interact with the environment. - Community ecology, the study of the interactions between species in communities. - Ecosystem ecology, the study of entire ecosystems, including abiotic components. Earth systems science is the application of systems science to the Earth. It considers interactions and 'feedbacks', through material and energy fluxes, between the Earth's sub-systems' cycles, processes and "spheres"—atmosphere, hydrosphere, cryosphere, geosphere, pedosphere, lithosphere, biosphere, and even the magnetosphere. Coupled human and natural systems (CHANS) are systems in which human and natural components interact. Examples include global climate change, freshwater use, land-use change, and the spread of invasive species and infectious diseases. The Anthropocene is the proposed geological epoch dating from when human activities started to have a significant global impact on Earth's geology and ecosystems. It highlights the profound influence that humans now have on the planet. The Endless Frontier: Science, Technology, and the Future Science and technology have been the primary drivers of human progress, allowing us to understand the world, alleviate suffering, and transform our environment. From the agricultural revolution to the industrial revolution to the digital revolution, each wave of technological change has brought profound social and economic changes. Today, we stand on the brink of a fourth industrial revolution, characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres. Artificial intelligence, robotics, the Internet of Things, autonomous vehicles, 3D printing, nanotechnology, biotechnology, energy storage, and quantum computing are all building on and amplifying one another. At the same time, we face existential challenges such as climate change, biodiversity loss, and the threat of nuclear war. Science and technology will be essential for overcoming these challenges and ensuring the long-term survival and flourishing of humanity. In the coming decades, we can expect to see: - Continued exponential growth in computing power and data storage, leading to artificial general intelligence (AGI) that rivals or exceeds human intelligence across all domains. - Radical life extension through regenerative medicine, genetic engineering, and nanotechnology, potentially leading to biological immortality. - Space exploration and colonization, including permanent settlements on the Moon and Mars, and robotic exploration of the outer solar system and beyond. - Sustainable energy and food production through renewable energy, nuclear fusion, vertical farming, and cultured meat. - Atom-by-atom manufacturing through advanced nanotechnology, leading to a post-scarcity economy. - Cognitive enhancement and direct brain-computer interfaces, blurring the lines between human and machine intelligence. In the more distant future, we may see: - The emergence of a singleton, a single global decision-making agency or superintelligent AI system that can coordinate and optimize all aspects of civilization. - Mind uploading and virtual reality, allowing human minds to be digitized and inhabit vast simulated worlds. - Dyson spheres and other megascale engineering projects that capture all of the energy output of stars. - Intergalactic colonization and the spread of life and intelligence throughout the cosmos. - The creation of new universes in laboratory settings, or the simulation of entire universes within our own. Of course, these visions of the future are highly speculative and may not come to pass. We must also consider potential negative outcomes, such as: - Existential catastrophe caused by advanced technologies such as AGI, nanotechnology, or biotechnology. - Dystopian scenarios such as global totalitarianism, extreme inequality, or the loss of human autonomy and meaning in a world dominated by machines. - Stagnation or collapse due to resource depletion, environmental degradation, or lack of innovation. Ultimately, the future is not fixed, but is something that we create through our choices and actions in the present. By working to expand the frontiers of knowledge, to solve global challenges, and to ensure that technological progress benefits all of humanity, we can steer a course towards a brighter future. The Endless Horizon: Conclusion We have surveyed the vast landscape of human knowledge, from the foundations of philosophy and mathematics to the frontiers of science and technology. We have seen how each field builds upon and informs the others, forming a grand edifice of understanding that is never complete, but always growing and evolving. As we look to the future, we see both great opportunities and great challenges. We have the potential to create a world of abundance, where all people can live long, healthy, and fulfilling lives, and where we can explore the wonders of the cosmos and the depths of the mind. But we also face risks that could derail our progress or even end our existence as a species.