The Curious Mr. Feynman (Update)
From the Manhattan Project to the Challenger investigation, the physicist Richard Feynman loved to shoot down what he called “lousy ideas.” Today, the world is awash in lousy ideas — so maybe it’s time to get some more Feynman in our lives? (Part one of a three-part series originally published in 2024.)
SOURCES:
Helen Czerski, physicist and oceanographer at University College London.
Michelle Feynman, photographer and daughter of Richard Feynman.
Ralph Leighton, biographer and film producer.
Charles Mann, science journalist and author.
John Preskill, professor of theoretical physics at the California Institute of Technology.
Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language.
RESOURCES:
"How Legendary Physicist Richard Feynman Helped Crack the Case on the Challenger Disaster," by Kevin Cook (Literary Hub, 2021).
Challenger: The Final Flight, docuseries (2020).
Perfectly Reasonable Deviations From the Beaten Track: Selected Letters of Richard P. Feynman, edited by Michelle Feynman (2005).
The Pleasure of Finding Things Out, by Richard Feynman (1999).
Genius: The Life and Science of Richard Feynman, by James Gleick (1992).
“What Do You Care What Other People Think?” by Richard Feynman and Ralph Leighton (1988).
"Mr. Feynman Goes to Washington," by Richard Feynman and Ralph Leighton (Engineering & Science, 1987).
The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986).
Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985).
"The Pleasure of Finding Things Out," (Horizon S18.E9, 1981).
"Los Alamos From Below," by Richard Feynman (UC Santa Barbara lecture, 1975).
EXTRAS:
"Exploring Physics, from Eggshells to Oceans," by People I (Mostly) Admire (2023).
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Eliezer Yudkowsky and Stephen Wolfram discuss artificial intelligence and its potential existen‑
tial risks. They traversed fundamental questions about AI safety, consciousness, computational irreducibility, and the nature of intelligence.
The discourse centered on Yudkowsky’s argument that advanced AI systems pose an existential threat to humanity, primarily due to the challenge of alignment and the potential for emergent goals that diverge from human values. Wolfram, while acknowledging potential risks, approached the topic from a his signature measured perspective, emphasizing the importance of understanding computational systems’ fundamental nature and questioning whether AI systems would necessarily develop the kind of goal‑directed behavior Yudkowsky fears.
***
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TOC:
1. Foundational AI Concepts and Risks
[00:00:01] 1.1 AI Optimization and System Capabilities Debate
[00:06:46] 1.2 Computational Irreducibility and Intelligence Limitations
[00:20:09] 1.3 Existential Risk and Species Succession
[00:23:28] 1.4 Consciousness and Value Preservation in AI Systems
2. Ethics and Philosophy in AI
[00:33:24] 2.1 Moral Value of Human Consciousness vs. Computation
[00:36:30] 2.2 Ethics and Moral Philosophy Debate
[00:39:58] 2.3 Existential Risks and Digital Immortality
[00:43:30] 2.4 Consciousness and Personal Identity in Brain Emulation
3. Truth and Logic in AI Systems
[00:54:39] 3.1 AI Persuasion Ethics and Truth
[01:01:48] 3.2 Mathematical Truth and Logic in AI Systems
[01:11:29] 3.3 Universal Truth vs Personal Interpretation in Ethics and Mathematics
[01:14:43] 3.4 Quantum Mechanics and Fundamental Reality Debate
4. AI Capabilities and Constraints
[01:21:21] 4.1 AI Perception and Physical Laws
[01:28:33] 4.2 AI Capabilities and Computational Constraints
[01:34:59] 4.3 AI Motivation and Anthropomorphization Debate
[01:38:09] 4.4 Prediction vs Agency in AI Systems
5. AI System Architecture and Behavior
[01:44:47] 5.1 Computational Irreducibility and Probabilistic Prediction
[01:48:10] 5.2 Teleological vs Mechanistic Explanations of AI Behavior
[02:09:41] 5.3 Machine Learning as Assembly of Computational Components
[02:29:52] 5.4 AI Safety and Predictability in Complex Systems
6. Goal Optimization and Alignment
[02:50:30] 6.1 Goal Specification and Optimization Challenges in AI Systems
[02:58:31] 6.2 Intelligence, Computation, and Goal-Directed Behavior
[03:02:18] 6.3 Optimization Goals and Human Existential Risk
[03:08:49] 6.4 Emergent Goals and AI Alignment Challenges
7. AI Evolution and Risk Assessment
[03:19:44] 7.1 Inner Optimization and Mesa-Optimization Theory
[03:34:00] 7.2 Dynamic AI Goals and Extinction Risk Debate
[03:56:05] 7.3 AI Risk and Biological System Analogies
[04:09:37] 7.4 Expert Risk Assessments and Optimism vs Reality
8. Future Implications and Economics
[04:13:01] 8.1 Economic and Proliferation Considerations
SHOWNOTES (transcription, references, summary, best quotes etc):
https://www.dropbox.com/scl/fi/3st8dts2ba7yob161dchd/EliezerWolfram.pdf?rlkey=b6va5j8upgqwl9s2muc924vtt&st=vemwqx7a&dl=0
The Curious Mr. Feynman
From the Manhattan Project to the Challenger investigation, the physicist Richard Feynman loved to shoot down what he called “lousy ideas.” Today, the world is awash in lousy ideas — so maybe it’s time to get some more Feynman in our lives? (Part one of a three-part series.)
SOURCES:Helen Czerski, physicist and oceanographer at University College London.
Michelle Feynman, photographer and daughter of Richard Feynman.
Ralph Leighton, biographer and film producer.
Charles Mann, science journalist and author.
John Preskill, professor of theoretical physics at the California Institute of Technology.
Stephen Wolfram, founder and C.E.O. of Wolfram Research; creator of Mathematica, Wolfram|Alpha, and the Wolfram Language.
RESOURCES:"How Legendary Physicist Richard Feynman Helped Crack the Case on the Challenger Disaster," by Kevin Cook (Literary Hub, 2021).
Challenger: The Final Flight, docuseries (2020).
Perfectly Reasonable Deviations From the Beaten Track: Selected Letters of Richard P. Feynman, edited by Michelle Feynman (2005).
The Pleasure of Finding Things Out, by Richard Feynman (1999).
Genius: The Life and Science of Richard Feynman, by James Gleick (1992).
“What Do You Care What Other People Think?” by Richard Feynman and Ralph Leighton (1988).
"Mr. Feynman Goes to Washington," by Richard Feynman and Ralph Leighton (Engineering & Science, 1987).
The Second Creation: Makers of the Revolution in Twentieth-century Physics, by Robert Crease and Charles Mann (1986).
Surely You're Joking, Mr. Feynman!, by Richard Feynman and Ralph Leighton (1985).
"The Pleasure of Finding Things Out," (Horizon S18.E9, 1981).
"Los Alamos From Below," by Richard Feynman (UC Santa Barbara lecture, 1975).
"The World from Another Point of View," (PBS Nova, 1973).
EXTRAS:"Exploring Physics, from Eggshells to Oceans," by People I (Mostly) Admire (2023).
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How to think computationally about AI, the universe and everything | Stephen Wolfram
Drawing on his decades-long mission to formulate the world in computational terms, Stephen Wolfram delivers a profound vision of computation and its role in the future of AI. Amid a debut of mesmerizing visuals depicting the underlying structure of the universe, he provides a sweeping survey of his life's work, offering a new perspective on the applications — and consequences — of AI powered by computational language.
Hosted on Acast. See acast.com/privacy for more information.
THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
Please support us! https://www.patreon.com/mlst
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YT version (with intro not found here) https://youtu.be/6iaT-0Dvhnc
This is the epic special edition show you have been waiting for! With two of the most brilliant scientists alive today.
Atoms, things, agents, ... observers. What even defines an "observer" and what properties must all observers share? How do objects persist in our universe given that their material composition changes over time? What does it mean for a thing to be a thing? And do things supervene on our lower-level physical reality? What does it mean for a thing to have agency? What's the difference between a complex dynamical system with and without agency? Could a rock or an AI catflap have agency? Can the universe be factorised into distinct agents, or is agency diffused? Have you ever pondered about these deep questions about reality?
Prof. Friston and Dr. Wolfram have spent their entire careers, some 40+ years each thinking long and hard about these very questions and have developed significant frameworks of reference on their respective journeys (the Wolfram Physics project and the Free Energy principle).
Panel: MIT Ph.D Keith Duggar
Production: Dr. Tim Scarfe
Refs:
TED Talk with Stephen:
https://www.ted.com/talks/stephen_wolfram_how_to_think_computationally_about_ai_the_universe_and_everything
https://writings.stephenwolfram.com/2023/10/how-to-think-computationally-about-ai-the-universe-and-everything/
TOC
00:00:00 - Show kickoff
00:02:38 - Wolfram gets to grips with FEP
00:27:08 - How much control does an agent/observer have
00:34:52 - Observer persistence, what universe seems like to us
00:40:31 - Black holes
00:45:07 - Inside vs outside
00:52:20 - Moving away from the predictable path
00:55:26 - What can observers do
01:06:50 - Self modelling gives agency
01:11:26 - How do you know a thing has agency?
01:22:48 - Deep link between dynamics, ruliad and AI
01:25:52 - Does agency entail free will? Defining Agency
01:32:57 - Where do I probe for agency?
01:39:13 - Why is the universe the way we see it?
01:42:50 - Alien intelligence
01:43:40 - The hard problem of Observers
01:46:20 - Summary thoughts from Wolfram
01:49:35 - Factorisability of FEP
01:57:05 - Patreon interview teaser
STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics
Please check out Numerai - our sponsor @
http://numer.ai/mlst
Patreon: https://www.patreon.com/mlst
Discord: https://discord.gg/ESrGqhf5CB
The Second Law: Resolving the Mystery of the Second Law of Thermodynamics
Buy Stephen's book here - https://tinyurl.com/2jj2t9wa
The Language Game: How Improvisation Created Language and Changed the World by Morten H. Christiansen and Nick Chater
Buy here: https://tinyurl.com/35bvs8be
Stephen Wolfram starts by discussing the second law of thermodynamics - the idea that entropy, or disorder, tends to increase over time. He talks about how this law seems intuitively true, but has been difficult to prove. Wolfram outlines his decades-long quest to fully understand the second law, including failed early attempts to simulate particles mixing as a 12-year-old. He explains how irreversibility arises from the computational irreducibility of underlying physical processes coupled with our limited ability as observers to do the computations needed to "decrypt" the microscopic details.
The conversation then shifts to discussing language and how concepts allow us to communicate shared ideas between minds positioned in different parts of "rule space." Wolfram talks about the successes and limitations of using large language models to generate Wolfram Language code from natural language prompts. He sees it as a useful tool for getting started programming, but one still needs human refinement.
The final part of the conversation focuses on AI safety and governance. Wolfram notes uncontrolled actuation is where things can go wrong with AI systems. He discusses whether AI agents could have intrinsic experiences and goals, how we might build trust networks between AIs, and that managing a system of many AIs may be easier than a single AI. Wolfram emphasizes the need for more philosophical depth in thinking about AI aims, and draws connections between potential solutions and his work on computational irreducibility and physics.
Show notes: https://docs.google.com/document/d/1hXNHtvv8KDR7PxCfMh9xOiDFhU3SVDW8ijyxeTq9LHo/edit?usp=sharing
Pod version: TBA
https://twitter.com/stephen_wolfram
TOC:
00:00:00 - Introduction
00:02:34 - Second law book
00:14:01 - Reversibility / entropy / observers / equivalence
00:34:22 - Concepts/language in the ruliad
00:49:04 - Comparison to free energy principle
00:53:58 - ChatGPT / Wolfram / Language
01:00:17 - AI risk
Panel: Dr. Tim Scarfe @ecsquendor / Dr. Keith Duggar @DoctorDuggar
#376 – Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation
Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder of Wolfram Research, a company behind Wolfram|Alpha, Wolfram Language, and the Wolfram Physics and Metamathematics projects. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Stephen’s Twitter: https://twitter.com/stephen_wolfram
Stephen’s Blog: https://writings.stephenwolfram.com
Wolfram|Alpha: https://www.wolframalpha.com
A New Kind of Science (book): https://amzn.to/30XoEun
Fundamental Theory of Physics (book): https://amzn.to/30XbAoT
Blog posts:
A 50-Year Quest: https://bit.ly/3NQbZ2P
What Is ChatGPT doing: https://bit.ly/3VOwtuz
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
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SUPPORT & CONNECT:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:45) – WolframAlpha and ChatGPT
(26:26) – Computation and nature of reality
(53:18) – How ChatGPT works
(1:53:01) – Human and animal cognition
(2:06:20) – Dangers of AI
(2:14:39) – Nature of truth
(2:36:01) – Future of education
(3:12:03) – Consciousness
(3:21:02) – Second Law of Thermodynamics
(3:44:36) – Entropy
(3:57:36) – Observers in physics
(4:14:27) – Mortality
Stephen Wolfram on AI’s rapid progress & the “Post-Knowledge Work Era” | E1711
Stephen Wolfram of Wolfram Research joins Jason for an all-encompassing conversation about AI, from the history of neural nets (7:53) to how modern ai emulates the human brain (19:33). This leads to an in-depth discussion about the pace at which AI is evolving (43:46), The “Post-Knowledge Work” era (58:45), the unintended consequences of AI (1:03:52), and so much more.
(0:00) Nick kicks off the show
(1:24) Under the hood of ChatGPT
(7:53) What is a neural net?
(10:05) Cast.ai - Get a free cloud cost audit with a personal consultation at https://cast.ai/twist
(11:33) Determining values and weights in a neural net
(18:28) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist
(19:33) Emulating the human brain
(23:26) Defining computational irreducibility
(26:14) Emergent behavior and the rules of language
(31:49) Discovering logic + creating a computational language
(38:10) Clumio - Start a free backup, or sign up for a demo at https://clumio.com/twist
(39:38) Wolfram’s ChatGPT plugin
(43:46) The rapid pace of AI
(58:45) The “Post-Knowledge Work” era
(1:03:52) The unintended consequences of AI
(1:11:45) Rewarding innovation
(1:16:12) The possibility of AGI
(1:20:07) Creating a general-purpose robotic system
FOLLOW Stephen: https://twitter.com/stephen_wolfram
FOLLOW Jason: https://linktr.ee/calacanis
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#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
HUGE ANNOUNCEMENT, CHATGPT+WOLFRAM! You saw it HERE first!
YT version: https://youtu.be/z5WZhCBRDpU
Support us! https://www.patreon.com/mlst
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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]
#637: Stephen Wolfram — Personal Productivity Systems, Richard Feynman Stories, Computational Thinking as a Superpower, Perceiving a Branching Universe, and The Ruliad... The Biggest Object in Metascience
Brought to you by Tommy John premium underwear, Eight Sleep’s Pod Cover sleeping solution for dynamic cooling and heating, and ButcherBox premium meats delivered to your door.
Stephen Wolfram (@stephen_wolfram) is the creator of Mathematica, Wolfram|Alpha and the Wolfram Language; the author of A New Kind of Science; the originator of the Wolfram Physics Project; and the founder and CEO of Wolfram Research. Over the course of more than four decades, he has been a pioneer in the development and application of computational thinking and has been responsible for many discoveries, inventions, and innovations in science, technology, and business.
Please enjoy!
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[06:58] How Stephen collects information for his vast personal archives.
[08:40] When a situation warrants building a matrix.
[12:31] Science sometimes makes us look far back to move incrementally forward.
[17:49] Befriending the computational.
[22:59] How technology helps us navigate natural language.
[32:30] How Stephen chose subjects for his book Idea Makers.
[35:09] On spending time with Richard Feynman.
[37:33] Thoughts on Srinivasa Ramanujan.
[39:57] When Stephen started solving science problems with computers.
[42:00] Heresies today, gospels tomorrow.
[50:14] Ruminations on the ruliad.
[1:03:46] What is time?
[1:12:03] What constitutes consciousness?
[1:15:56] Personal infrastructure and productivity.
[1:23:25] Maintaining energy in the midst of a busy life.
[1:29:37] Avoiding once-inevitable sickness after air travel.
[1:31:50] Making time count — in sickness and in health.
[1:32:45] Parting thoughts.
*
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#234 – Stephen Wolfram: Complexity and the Fabric of Reality
Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(07:50) – What is complexity
(20:51) – Randomness in the universe
(25:12) – The Wolfram Physics Project
(37:14) – Space and time are discrete
(49:19) – Quantum mechanics and hypergraphs
(58:33) – What is intelligence
(1:09:16) – Computational equivalence
(1:17:36) – What it is like to be a cellular automata
(1:32:00) – Making prediction vs explanations
(1:45:20) – Why does the universe exist
(1:51:01) – The universe and rulial space
(1:59:44) – Does an atom have consciousness
(2:10:10) – Why does our universe exist
(2:18:41) – What is outside the ruliad
(2:29:15) – Automated proof systems
(2:45:10) – Multicomputation for biology
(3:03:41) – Cardano NFT collaboration with Wolfram Alpha
(3:10:41) – Global theory of economics
#124 – Stephen Wolfram: Fundamental Theory of Physics, Life, and the Universe
Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist. This is our second conversation on the podcast.
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If you would like to get more information about this podcast go to https://lexfridman.com/podcast or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE:
00:00 – Introduction
07:14 – Key moments in history of physics
12:43 – Philosophy of science
14:37 – Science and computational reducibility
22:08 – Predicting the pandemic
38:58 – Sunburn moment with Wolfram Alpha
39:46 – Computational irreducibility
46:45 – Theory of everything
52:41 – General relativity
1:01:16 – Quantum mechanics
1:06:46 – Unifying the laws of physics
1:12:01 – Wolfram Physics Project
1:29:53 – Emergence of time
1:34:11 – Causal invariance
1:53:03 – Deriving physics from simple rules on hypergraphs
2:07:24 – Einstein equations
2:13:04 – Simulating the physics of the universe
2:17:28 – Hardware specs of the simulation
2:24:37 – Quantum mechanics in Wolfram physics model
2:42:46 – Double-slit experiment
2:45:13 – Quantum computers
2:53:21 – Getting started with Wolfram physics project
3:14:46 – The rules that created our universe
3:24:22 – Alien intelligences
3:32:29 – Meta-mathematics
3:37:58 – Why is math hard?
3:52:55 – Sabine Hossenfelder and how beauty leads physics astray
4:01:07 – Eric Weinstein and Geometric Unity
4:06:17 – Travel faster than speed of light
4:16:59 – Why does the universe exist at all
#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics
Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist who is the founder and CEO of Wolfram Research, a company behind Mathematica, Wolfram Alpha, Wolfram Language, and the new Wolfram Physics project. He is the author of several books including A New Kind of Science, which on a personal note was one of the most influential books in my journey in computer science and artificial intelligence.
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EPISODE LINKS:
Stephen’s Twitter: https://twitter.com/stephen_wolfram
Stephen’s Website: https://www.stephenwolfram.com/
Wolfram Research Twitter: https://twitter.com/WolframResearch
Wolfram Research YouTube: https://www.youtube.com/user/WolframResearch
Wolfram Research Website: https://www.wolfram.com/
Wolfram Alpha: https://www.wolframalpha.com/
A New Kind of Science (book): https://amzn.to/34JruB2
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE:
00:00 – Introduction
04:16 – Communicating with an alien intelligence
12:11 – Monolith in 2001: A Space Odyssey
29:06 – What is computation?
44:54 – Physics emerging from computation
1:14:10 – Simulation
1:19:23 – Fundamental theory of physics
1:28:01 – Richard Feynman
1:39:57 – Role of ego in science
1:47:21 – Cellular automata
2:15:08 – Wolfram language
2:55:14 – What is intelligence?
2:57:47 – Consciousness
3:02:36 – Mortality
3:05:47 – Meaning of life
#080 - Stephen Wolfram - The At Home CEO
Stephen Wolfram is the founder and CEO of the software company Wolfram Research.
What happens when you track every email, every keystroke, every mouse movement and every project for 30 years? Today we find out the productivity strategies, personal infrastructure and tracking analytics from the man behind Wolfram Language and Wolfram Alpha - the answer engine which powers Siri & Alexa.
Extra Stuff:
Wolfram Alpha - https://www.wolframalpha.com/
Follow Stephen on Twitter - https://twitter.com/stephen_wolfram
Seeking The Productive Life - https://blog.stephenwolfram.com/2019/02/seeking-the-productive-life-some-details-of-my-personal-infrastructure/
Stephen's Personal Analytics - https://blog.stephenwolfram.com/2012/03/the-personal-analytics-of-my-life/
Check out everything I recommend from books to products and help support the podcast at no extra cost to you by shopping through this link - https://www.amazon.co.uk/shop/modernwisdom
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