In this book, Lisa Feldman Barrett presents a new neuroscientific explanation of emotions, overturning the widely held belief that emotions are automatic, universal, and hardwired in different brain regions. Instead, she argues that emotions are constructed in the moment through a unique interplay of brain, body, and culture. Barrett's theory, known as the 'Theory of Constructed Emotions,' suggests that emotions are highly individualized and vary by culture. The book explores how this new understanding has significant implications for fields such as psychology, medicine, law, parenting, and national security. Barrett uses clear, readable prose and practical examples to make her complex theories accessible to a broad audience.
In this book, Carlo Rovelli condenses the key revelations of post-Newtonian physics into seven brief, accessible lessons. The book covers Einstein's theory of relativity, quantum mechanics, the architecture of the cosmos, particles, grains of space, probability, time, and black holes. Rovelli uses a literary approach to explain these complex concepts, making the book enjoyable and understandable for non-specialized readers. The book also explores the nature of time, the role of humans in the universe, and the interworking of the universe at both grand and minute scales.
This show is sponsored by Numerai, please visit them here with our sponsor link (we would really appreciate it) http://numer.ai/mlst
Prof. Karl Friston recently proposed a vision of artificial intelligence that goes beyond machines and algorithms, and embraces humans and nature as part of a cyber-physical ecosystem of intelligence. This vision is based on the principle of active inference, which states that intelligent systems can learn from their observations and act on their environment to reduce uncertainty and achieve their goals. This leads to a formal account of collective intelligence that rests on shared narratives and goals.
To realize this vision, Friston suggests developing a shared hyper-spatial modelling language and transaction protocol, as well as novel methods for measuring and optimizing collective intelligence. This could harness the power of artificial intelligence for the common good, without compromising human dignity or autonomy. It also challenges us to rethink our relationship with technology, nature, and each other, and invites us to join a global community of sense-makers who are curious about the world and eager to improve it.
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TOC:
Intro [00:00:00]
Numerai (Sponsor segment) [00:07:10]
Designing Ecosystems of Intelligence from First Principles (Friston et al) [00:09:48]
Information / Infosphere and human agency [00:18:30]
Intelligence [00:31:38]
Reductionism [00:39:36]
Universalism [00:44:46]
Emergence [00:54:23]
Markov blankets [01:02:11]
Whole part relationships / structure learning [01:22:33]
Enactivism [01:29:23]
Knowledge and Language [01:43:53]
ChatGPT [01:50:56]
Ethics (is-ought) [02:07:55]
Can people be evil? [02:35:06]
Ethics in Al, subjectiveness [02:39:05]
Final thoughts [02:57:00]
References:
Designing Ecosystems of Intelligence from First Principles (Friston et al)
https://arxiv.org/abs/2212.01354
GLOM - How to represent part-whole hierarchies in a neural network (Hinton)
https://arxiv.org/pdf/2102.12627.pdf
Seven Brief Lessons on Physics (Carlo Rovelli)
https://www.amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725
How Emotions Are Made: The Secret Life of the Brain (Lisa Feldman Barrett)
https://www.amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON
Am I Self-Conscious? (Or Does Self-Organization Entail Self-Consciousness?) (Karl Friston)
https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00579/full
Integrated information theory (Giulio Tononi)
https://en.wikipedia.org/wiki/Integrated_information_theory
Machine Learning Street Talk (MLST) 
