Physics World’s Post

Nope. True machines will never feel like humans but will know and understand all about human emotions, without its conscious experiences emotions akin to human beings. Emotions have sense and order, logic, or rationality, as an “integrated neuro-physiological-behavioral-evaluative-experiential-social phenomenon.” Machines could encode very specific, as hoc emotions insofar as they concern a thing, an event, or a state of affairs. a particular person, object, or situation or intelligent emotions, like the fear of nuclear war—which requires world knowledge, information and analysis. General emotions, as love and joy, depression or depression, trust or anticipation, are rather excluded. Structurally, an emotion, human or machine, is a self-knowing/conscious reaction (such as anger or fear) usually directed toward a specific object and typically accompanied by [physical or physiological, psychological and behavioral] changes in the body. Like humans, humanoid robots could be programmed or trained to mimic facial expressions of emotion, such as anger, surprise, and fear, which are universal in human beings. Again, no machines could have the subjective reality of a human being, if only as an imitation, replication or travesty. https://lnkd.in/dxssSPSH

Dear Demis Hassabis I asked Copilot/GPT4 for you… “Describing reality at the Planck scale involves delving into the realm of quantum mechanics and general relativity, where our conventional understanding of physics begins to unravel. The Planck scale is characterized by the Planck length, approximately 1.616255 × 10^-35 meters, and the Planck time, the time it takes for light to travel the Planck length. #1 At this scale, the fabric of spacetime is believed to be influenced by quantum fluctuations, making it a seething foam of potentiality rather than the smooth continuum we experience at larger scales. These fluctuations are so minute that they have never been directly measured in the laboratory. However, experiments like the Fermilab Holometer are attempting to detect these tiny jitters of space and time by looking for correlated fluctuations at widely separated locations. #2 The Planck scale represents a boundary beyond which the classical laws of physics cease to apply, and a new theory, possibly quantum gravity, is needed to fully understand the phenomena occurring at this level. It’s a frontier where space and time themselves become inherently uncertain, and the precise values of physical quantities can no longer be determined with absolute certainty. #3 In essence, the Planck scale is where our familiar physical reality ends, and a different order of reality, imperceptible and intangible to our physical senses, begins. It’s more energetic and informational, akin to the underlying code of a computer program. #4 This is the scale at which the universe’s deepest secrets lie, and it’s an area of intense study and speculation among physicists.” LLMs do not really understand either! 😉 Seriously though, this is an area I have a research interest in. Eg., see… https://lnkd.in/egnXDEtz. And more under the hash tag #vqbh. And If we can fathom the very small scale structure of the universe we may be able to understand the very large scale that is emergent from it! ****** 1/ https://lnkd.in/eTFa67Mc 2/ https://lnkd.in/eBvJUiZC 3/ https://lnkd.in/e8dsrwi4 4/ https://lnkd.in/eeUrRPue PS: Perhaps it’s impossible to know what reality is truly like at such scales, in that any attempt at observing such in direct experimental terms would bring on collapse of the system. We may have to make do with a fitting theoretical model that when extrapolated to larger scales fits observations. But there maybe many such theories that deliver those results. Differentiating between them might be beyond us.

I think there are more chances our universe is a simulation. Not a digital simulation, but a combination of an analog-digital one. The proof (pov) is in the duality of particle-wave that is triggered by an observing third-party (conscious being ==breakpoint in the system). IF the world would be a simulation, then the laws of physics, as we know them, should behave differently: - when a target is observed, the digital part is triggered, witch has (like a computer) timers a finite rocessing power. - when a target is not observed, all calculations are wave like, or analog, less power consumed by the system. So, then, how can we prove that we ( our conscious brain) behave like a breakpoint in the universal computer? Well, it is easy I suppse. See what happens in an IDE when you add 1000 breakpoints (aka run in debug mode). We should be able to measure somehow these time differences: observed/digital vs not observed/analog reality/experiments.

Anthropic's model Claude 3 Opus has been generating a lot of buzz in the AI world. AI researchers, influencers, and tech enthusiasts swarm Claude like paparazzi chasing a Hollywood star ✨ Have seen numerous reviews comparing benchmarks and capability to handle complex tasks with near-perfect recall. What really stood out was this tweet from a Quantum Physics Research scholar. He asks AI to solve the quantum physics problem statement that he has been doing his PhD thesis on (Not published Yet) and Claude was able to perfectly reason through the problem statement and arrive at the solution. Think about the impact of this: 💡 AI is able to solve complex problems that typically take years for Research scholars 💡 Power of AI in the hands of researchers can accelerate research in areas like Healthcare 💊 , Renewable energy 🌍 , Space exploration 🔭 etc.. 💡 How about 100% renewable energy production with near zero cost? Next 12 months is going to be super exciting!!! https://lnkd.in/gSSnKwG8

https://lnkd.in/d4VKD8bF <<Although the notion of paradigms has been around for quite some time, the concept of paradigm shifts was explored by American physicist and philosopher Thomas Samuel Kuhn in his 1962 book The Structure of Scientific Revolutions. Kuhn characterized a paradigm shift as a revolution that challenges and ultimately takes the place of a prevailing scientific framework. ... Paradigms are important because they define how we perceive reality and how we behave within it. Everyone is subject to the limitations and distortions produced by their socially conditioned nature. For instance, before Einstein physicists took Newtonian physics for granted. That paradigm was then challenged by the rise of quantum mechanics.>> Through CIOSUERD https://lnkd.in/dijqtXha #paradigm #scientificrevolution #framework #Newton #Eistein #quantum #shift #sustenability #resilience #mechanics #learning #CIOSUERD

Revolutionizing R&D : How AI-Enhanced Physics Is Driving Engineering and Scientific Breakthroughs Are you willing to know more about AI physics and how it is driving the engineering and scientific breakthroughs? If so, then keep reading because I have compiled a short guide on the topic. #aiphysics #physics #AIEngineering #artificialintelligence #aerodynamics #AerodynamicDesign #quantumadvancements #quantumphysics https://lnkd.in/dmWCUisN

Revolutionizing R&D : How AI-Enhanced Physics Is Driving Engineering and Scientific Breakthroughs Are you willing to know more about AI physics and how it is driving engineering and scientific breakthroughs? If so, then keep reading because I have compiled a short guide on the topic. #aiphysics #physics #AIEngineering #artificialintelligence #aerodynamics #AerodynamicDesign https://lnkd.in/dSUZ-2mz

"The Dance of Physics: Unraveling the Marvels of Motion" 📊💡 "Exploring the Intricacies of Ball Motion and Physics Phenomena" 🌐 Factors Influencing Motion: Curious about the factors driving changes in positions and situations? Dive into the discussion on the LinkedIn post to explore the intricacies of ball motion and the physics behind it. 🔍 Understanding Pendulum Dynamics: Kaushik Ghosh highlights the fascinating relationship between the length of the string and the frequency/period of the pendulum. Uncover the insights into the rhythmic dance of physics. 😯 Surprising Non-Tangling Phenomenon: Witness a peculiar observation - the balls haven't tangled till the end! Join the conversation on this unexpected occurrence and share your thoughts. 😄 Science ASMR Experience: Discover a unique perspective as someone labels the phenomenon as "Science ASMR." Delve into the sensory side of science and explore how it resonates with enthusiasts. 🔄 Entropy and Order to Randomness: A thought-provoking question arises - how does the transition from order to randomness in cyclic motion relate to the concept of entropy? Engage in the discussion to unravel the scientific connections. 🌈 Synchronization Wonders: Marvel at the awe-inspiring moment when the balls sync back up at the end! Join the conversation on this captivating occurrence and explore the underlying principles governing synchronization. 🌟 Track the Trend: Stay ahead of the curve and explore the possibilities, follow me on Linkedin.com/in/psmahesh ⛷❄🏂🌄 "Credits: 🌟 All write is done by me(P.S.Mahesh) after indepth research. All rights and credits for the video/visual presented are reserved for their respective owners. 📚 For attribution or content removal requests, please contact me.

What a surprise for neuro network author to receive Nobel 🥇 in physics. Hinton talked about one of his students who coauthored the neuro network paper fired Open AI CEO because he put profit over safety. The chief scientist of Open AI was Hinton’s student. I read their paper on neuro networks. Hinton also talked about the potential of AI applications in healthcare, especially in improving accuracy rate of diagnosis with physicians and AI collaboration in diagnosis. “If doctors’ accuracy rate is 40%, with AI collaboration the accuracy rate improves to 60%, that is great improvement.” Healthcare industry is very conservative. They are slow in adoption of AI. Safety is important. Curiosity driven research can benefit the world a great deal and often is not expensive to fund.

Like a lot of people, I try to keep up with what's happening in science. A team of people claim to have discovered gravity on the quantum (atomic) scale. By picking up vibrations in a 'particle', they claim to have measured gravity on a very, very small scale. I have a ton of questions. I haven't read the article in Science Advances, but it raises questions like what exactly was the particle, how does one measure something reliably at 1 quintillionth of a newton, does this confirm string theory, is string theory the so called 'theory of everything', and, most important, can anyone else confirm this experiment. This will lead to experiments in duplicating or canceling the vibrations to either enhance or reduce gravitational pull. You could use this in rockets, buildings, even cars. In F1 racing, downforce is a big deal. You could create downforce at lower speeds making cars safer, faster, and make races more exciting. These kinds of articles are super interesting. I'm not smart enough to really understand how this all works, but I can imagine how it could be used. I certainly hope that investments in this kind of research continue.