Join Stephen Wolfram, the polymath behind Mathematica and Wolfram Alpha, as he reveals a groundbreaking integration of ChatGPT with Wolfram Alpha, revolutionizing AI's computational abilities. Dive into discussions about the evolution of language models, the complexities of human cognition, and the fascinating interplay between computation and creativity. He also touches on the unique characteristics of biological systems and entropy, offering insights into the future of AI and its cognitive parallels.
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Mathematica's Impact
Dr. Wolfram's guest used Mathematica since 1994, starting with version 2.2 as an undergraduate.
By 2000, Mathematica's integral-solving capabilities surpassed the guest's, becoming his benchmark.
insights INSIGHT
ChatGPT's Strengths and Limitations
ChatGPT achieves impressive results by statistically stringing together text based on learned patterns.
However, it lacks true computational abilities for complex calculations, relying on Wolfram for this.
insights INSIGHT
Language Models as a Tool
Language models can translate natural language into computational representations for downstream systems.
This transformation is remarkable, especially considering their recent emergence and the limitations of simply calculating word probabilities.
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In 'A New Kind of Science,' Stephen Wolfram presents a comprehensive study of computational systems, particularly cellular automata, and argues that the study of simple programs can revolutionize various fields of science. The book, which took over a decade to complete, introduces the Principle of Computational Equivalence and the concept of computational irreducibility. Wolfram demonstrates how simple rules can generate complex behavior, similar to patterns observed in nature, and discusses the implications of these findings for fields such as physics, biology, and mathematics. The book is known for its extensive use of computer graphics and its attempt to establish a new foundational science based on computational principles.
HUGE ANNOUNCEMENT, CHATGPT+WOLFRAM! You saw it HERE first!
YT version: https://youtu.be/z5WZhCBRDpU
Support us! https://www.patreon.com/mlst
MLST Discord: https://discord.gg/aNPkGUQtc5
Stephen's announcement post: https://writings.stephenwolfram.com/2023/03/chatgpt-gets-its-wolfram-superpowers/
OpenAI's announcement post: https://openai.com/blog/chatgpt-plugins
In an era of technology and innovation, few individuals have left as indelible a mark on the fabric of modern science as our esteemed guest, Dr. Steven Wolfram.
Dr. Wolfram is a renowned polymath who has made significant contributions to the fields of physics, computer science, and mathematics. A prodigious young man too, Wolfram earned a Ph.D. in theoretical physics from the California Institute of Technology by the age of 20. He became the youngest recipient of the prestigious MacArthur Fellowship at the age of 21.
Wolfram's groundbreaking computational tool, Mathematica, was launched in 1988 and has become a cornerstone for researchers and innovators worldwide. In 2002, he published "A New Kind of Science," a paradigm-shifting work that explores the foundations of science through the lens of computational systems.
In 2009, Wolfram created Wolfram Alpha, a computational knowledge engine utilized by millions of users worldwide. His current focus is on the Wolfram Language, a powerful programming language designed to democratize access to cutting-edge technology.
Wolfram's numerous accolades include honorary doctorates and fellowships from prestigious institutions. As an influential thinker, Dr. Wolfram has dedicated his life to unraveling the mysteries of the universe and making computation accessible to all.
First of all... we have an announcement to make, you heard it FIRST here on MLST! ....
Intro [00:00:00]
Big announcement! Wolfram + ChatGPT! [00:02:57]
What does it mean to understand? [00:05:33]
Feeding information back into the model [00:13:48]
Semantics and cognitive categories [00:20:09]
Navigating the ruliad [00:23:50]
Computational irreducibility [00:31:39]
Conceivability and interestingness [00:38:43]
Human intelligible sciences [00:43:43]
Machine Learning Street Talk (MLST) 
