Ken Biba’s Post

The topic of whether artificial intelligence (AI) can read minds has been a subject of widespread debate lately. The debate revolves around the relationship between syntax and semantics, which are two sides of the same coin. A recent study conducted at UT has made some progress in mapping words (semantic) to brain activity (semantic). However, we cannot necessarily infer from this that it's possible to map brain activity to syntax. Syntax involves a mind that is not measurable because it lies outside space and time. On the other hand, semantics are measurable because they lie within spacetime. The ultimate question is whether we can map the mind (nonlocal, waves, energy) to spacetime (local, particles). However, Heisenberg's uncertainty principle states that if the position of a particle in spacetime is precisely defined, the uncertainty about its momentum (a quantity outside space and time) is infinite. In other words, in the domain of the mind (syntax, wave functions), there are infinite potential "meanings," whereas in the domain of semantics, there are only a few composable actualizations (syntax, collapse of wave functions). Can we construct a nonlocal world from a local word? Can AI map between syntax and semantic words? Based on Heisenberg's uncertainty principle, achieving this is not possible. Perhaps AI experts can further reflect on this.

🚀 Excited to share my latest video on YouTube comparing Artificial Neural Networks (ANN) to Convolutional Neural Networks (CNN) in the realm of image classification! 🎥 In this video, I delve into the nuances of ANN and CNN architectures, exploring how CNNs excel in image-related tasks by capturing spatial hierarchies. Plus, I demonstrate practical techniques like data augmentation to overcome overfitting in CNN models. 🔗 Watch the full video here: https://lnkd.in/gHFiM-Cc If you find the content insightful, don't forget to like, comment, and subscribe to my YouTube channel for more exciting updates on machine learning and data science! 🌟 Also, join me on Instagram for more data-driven insights and updates: https://lnkd.in/d3JMnYS2 Let's continue our journey of learning and exploration in the fascinating world of AI! 💡🤖 #MachineLearning #NeuralNetworks #CNN #AI #DataScience #DeepLearning #ComputerVision #DataAugmentation #ANNvsCNN

This is an interesting article to read

if you're voting for panels this year, love these two from Rimma Boshernitsan: AI & Intuition: The Future of Dis(trust) in a Post-Truth Era https://lnkd.in/gxi9BpFz Connect This: Interstitium as a Path to Global Healing https://lnkd.in/g7shfqmy

How Beliefs & Ideology Shape your World Beliefs & Ideology are our Operating SystemContinue reading on Becoming Human: Artificial Intelligence Magazine »... https://lnkd.in/eV_v5N-5 #AI #ML #Automation

A defining feature of human thought is our capacity to reflect on our limitations https://lnkd.in/entDQhRX

It is Peer Review Week. As our industry across the globe focus on the impact of innovation and technology (AI) on the peer-review process, we consider the impact of bad manners

This is MINDBLOWING 🤯 A paper out of Stanford University shows that it's possible to get real, human personalities into generative agents, who then live their lives in simulated environments. They were able to test and prove that those agents had the same thoughts and personalities 85% as accurately as their human counterparts. So what does it all mean? I break it all down in the full video on YouTube 👉🏼 https://lnkd.in/g-9RqgF5

🚀 Excited to share my latest Medium article: "The Intelligence Age by Sam Altman: Unveiling a New Era of Human Potential" 🧠 In this piece, I dive into Sam Altman's groundbreaking vision of our AI-powered future. From personal AI assistants to unprecedented global prosperity, the possibilities are both thrilling and humbling. Key takeaways: 🧠 Deep learning is reshaping our world 👩💻 AI could amplify human potential beyond our wildest dreams ‼ We're on the cusp of solving humanity's greatest challenges 🏛 But with great power comes great responsibility. How do we navigate the risks while embracing the rewards? #AI #FutureOfTech #ML #ArtificalIntelligence #MachineLearning #IntelligenceAge #Innovation #OpenAI #ElonMusk