When AI agents have the ability to create and promote their own cryptos, will humans still control monetary systems? It’s a question we should be thinking about, says Zoltan Istvan, a leading transhumanist thinker.
Category: robotics/AI – Page 208
Less Than 1 Centimeter: Engineers Create World’s Smallest Wireless Flying Robot
The bumblebee-inspired robot is less than a centimeter wide and can hover, change direction, and hit small targets. Like a bumblebee moving from flower to flower, a new insect-inspired flying robot developed by engineers at the University of California, Berkeley, can hover, change direction, and
“Particle Robots” Form Large Groups to Complete Tasks
Researchers have developed computationally simple robots, called particles, that cluster and form a single “particle robot” that completes tasks.
Nanobots: Tiny Tech, Infinite Possibilities! #science
Nanobots aren’t just microscopic machines—they could come in countless shapes and sizes, each designed for a unique purpose. From medical nanobots that repair cells to swarming micro-robots that build structures at the atomic level, the future of nanotechnology is limitless. Could these tiny machines revolutionize medicine, industry, and even space exploration? #Nanotech #Nanobots #FutureTech #Science #Innovation …
Joscha Bach vs. Jeremy Nixon: Is Consciousness Required for AGI?
0:00 Milling2:25 Joscha Bach: Opening Remarks23:14 Jeremy Nixon: Introduction to AGI House25:43 Jeremy Nixon: Engineering Consciousness1:07:50 Reactions to J…
Henry Shevlin — AI and the future of consciousness science
Recent rapid progress in artificial intelligence has prompted renewed interest in the possibility of consciousness in artificial systems. This talk argues that this question forces us to confront troubling methodological challenges for consciousness science. The surprising capabilities of large language models provide reason to think that many, if not all, cognitive capabilities will soon be within reach of artificial systems. However, these advancements do not help us resolve strictly metaphysical questions concerning substrate-independence, multiple realizability, or the connection between consciousness and life. Ultimately, I suggest that these questions are likely to be settled not by philosophical argument or scientific experimentation, but by patterns of interactions between humans and machines. As we form valuable and affectively-laden relationships with ever more intelligent machines, it will become progressively harder to treat them as non-conscious entities. Whether this shift will amount to a vindication of AI consciousness or a form of mass delusion remains far from obvious.
Two AIs Discuss: The Construct of Science, a Metaphysical Inquiry!
“Metaphysical Experiments: Physics and the Invention of the Universe” by Bjørn Ekeberg Book Link: https://amzn.to/4imNNk5
“Metaphysical Experiments, Physics and the Invention of the Universe,” explores the intricate relationship between physics and metaphysics, arguing that fundamental metaphysical assumptions profoundly shape scientific inquiry, particularly in cosmology. The author examines historical developments from Galileo and Newton to modern cosmology and particle physics, highlighting how theoretical frameworks and experimental practices are intertwined with philosophical commitments about the nature of reality. The text critiques the uncritical acceptance of mathematical universality in contemporary physics, suggesting that cosmology’s reliance on hypological and metalogical reasoning reveals a deep-seated faith rather than pure empirical validation. Ultimately, the book questions the limits and implications of a science that strives for universal mathematical truth while potentially overlooking its own inherent complexities and metaphysical underpinnings. Chapter summaries:
- Cosmology in the Cave: This chapter examines the Large Hadron Collider (LHC) in Geneva to explore the metaphysics involved in the pursuit of a “Theory of Everything” linking subatomic physics to cosmology.
- Of God and Nature: This chapter delves into the seventeenth century to analyze the invention of the universe as a concept alongside the first telescope, considering the roles of Galileo, Descartes, and Spinoza.
- Probability and Proliferation: This chapter investigates the nineteenth-century shift in physics with the rise of probabilistic reasoning and the scientific invention of the particle, focusing on figures like Maxwell and Planck.
- Metaphysics with a Big Bang: This chapter discusses the twentieth-century emergence of scientific cosmology and the big bang theory, shaped by large-scale science projects and the ideas of Einstein and Hawking.
- Conclusion: This final section questions the significance of large-scale experiments like the JWST as metaphysical explorations and reflects on our contemporary scientific relationship with the cosmos.
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Microsoft introduces an AI model that runs on regular CPUs
A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of Sciences, has introduced Microsoft’s new AI model that runs on a regular CPU instead of a GPU. The researchers have posted a paper on the arXiv preprint server outlining how the new model was built, its characteristics and how well it has done thus far during testing.
Over the past several years, LLMs have become all the rage. Models such as ChatGPT have been made available to users around the globe, introducing the idea of intelligent chatbots. One thing most of them have in common is that they are trained and run on GPU chips. This is because of the massive amount of computing power they need when trained on massive amounts of data.
In more recent times, concerns have been raised about the huge amounts of energy being used by data centers to support all the chatbots being used for various purposes. In this new effort, the team has found what it describes as a smarter way to process this data, and they have built a model to prove it.
Scientists improve gravitational wave identification with machine learning
A study published in Physical Review Letters outlines a new approach for extracting information from binary systems by looking at the entire posterior distribution instead of making decisions based on individual parameters.
Since their detection in 2015, gravitational waves have become a vital tool for astronomers studying the early universe, the limits of general relativity and cosmic events such as compact binary systems.
Binary systems consist of two massive objects, like neutron stars or black holes, spiraling toward each other. As they merge together, they generate ripples in spacetime—gravitational waves—which give us information about both objects.