EP 185 Daniel Suarez on the Near Future of Space Exploration




Jim talks with Daniel Suarez about his science-fiction imaginings in the near future of space exploration, Delta-V and Critical Mass. They discuss the inspiration for the novels, the beginning of a renaissance in private space exploration, characters in the series, space law, choice-making at the beginning, the nature of explorers, the research process, a frontier economy, experiments with money systems, the Age of Exploration, the debate over asteroid mining, robots vs humans in space missions, speed of light lags, the meaning of delta-V, the nexus of Luxembourg City, carbonyl metallurgy, climate change & economic disruptions, mining operations on the moon, the Shackleton crater, how space exploration is of benefit to Earth, space station design, space-based solar energy, cryptocurrency on the moon, money vs wealth, bringing the universe to life, the responsibility of stewardship, the minimum dose of gravity, and much more.

Daniel Suarez is a New York Times bestselling author, TEDGlobal speaker, and former systems analyst whose unique brand of high-tech fiction explores the causes and impacts of rapid technological change. The author of seven novels, he has a track record of anticipating what’s next, and his latest book, Critical Mass brings readers on a daring journey to the new frontier of private space exploration. Second book in the Delta-v series, Critical Mass realistically portrays humanity’s urgent transition from an Earthbound to a spacefaring civilization — and brings home why that’s critical to our future.


EP 184 Dave Snowden on Managing Complexity in Times of Crisis



 
Jim talks with Dave Snowden about the document he co-authored, “Managing Complexity (And Chaos) In Times of Crisis.” They discuss the Cynefin framework, its development into a complexity-informed framework, distinguishing complex from complicated, emergence, enabling constraints vs governing constraints, openness in complex systems, short-term teleology vs top-down causality, lines of flight, six sigma, Taylorism, distributed decision-making, the meaning of crisis, preparing for unknowable unknowns, plagues & heat deaths, false learnings of Covid, the order of origin of language & semiotics, building informal networks, exaptation, the right level of granularity, setting Draconian constraints, preserving optionality, anticipatory thinking, comprehensive journaling, LLMs & the recent open letter, the need for ethical awareness, scales of group decision-making, documenters & doers, the aporetic, Covid as a boon to complexity work, cadence vs velocity, ritual in American football, designing strategic interventions with stories, vector theory of change, constructor theory, making the cost of virtue less than the cost of sin, dispositional management, an upcoming book, and much more.

Dave Snowden divides his time between two roles: founder Chief Scientific Officer of Cognitive Edge and the founder and Director of the Centre for Applied Complexity at the University of Wales. His work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style.


Currents 090: BJ Campbell and Patrick Ryan on Egregores



Jim talks with BJ Campbell and Patrick Ryan about understanding the present moment through the concept of egregores. They discuss the meaning of the term, its roots in early occultism, social media as the fertile ground, an analogy with neural nets, measuring egregores with grammar velocity, LLMs as a Broca’s area for tech, how guns have won the culture war, translating word frequency distributions into psychological profiles, one grand egregore vs multiple competitive egregores, NPC speedrunning, experiments in influence automation, QAnon & piggybacking on reality, egregore update rates, Shiri’s scissor, LLMs as necromancy, multipolar traps, the impedance matching problem, an apex predator egregore, and much more.

BJ Campbell is a licensed professional civil engineer and practicing hydrologist who consults in the land development and environmental industries. In addition to his Substack Handwaving Freakoutery, he writes for Open Source Defense, Quillette, and Recoil Magazine.

Patrick Ryan is a seasoned programmer with over 20 years of experience in the full web stack development field, a career which concluded at Hulu. He is also an AI warfare specialist and provided valuable assistance to Zach Vorheis, a Google whistleblower, during the Department of Justice’s anti-trust case against Google. His knowledge and experience are sought after by diverse organizations, including defense, think tanks, and policy outfits. He has provided guidance on measuring existential risk where AI warfare and infrastructure weakness intersect, as well as for a White House Coronavirus Task force.


Currents 089: Erik Torenberg on Status Games



Jim talks with Erik Torenberg about the ideas in his Substack series on navigating the status games of today. They discuss status as reputation allocation, cyclical change in status mobility over time, status in the world of social media, beliefs as fashions, the status games of adolescent girls, therapy as a status signal, status games around changes of gender, the metaphysics of trauma, luxury beliefs, college as the biggest differentiator in belief, universalism & the ban on cousin marriage, the U.S.’s anomalously high religious population, the arms race for crazy ideas, the societal value of status mobility, sincere irony, the Israeli kibbutz system, cryptocurrency initiatives in GameB, the religion that’s not a religion, money & beauty, heretics vs apostates, cancel culture as a status pump-and-dump scheme, the peak & coming decline of wokism, Trump as a boon for wokism, and much more.

Erik Torenberg is the Founder and the Co-founder/General Partner at Village Global. Before building On Deck, Erik was a member of the founding team at Product Hunt and the Founder of rapt.fm.


EP 183 Forrest Landry Part 2: AI Risk



Forrest Landry
Jim continues his conversation with recurring guest Forrest Landry on his arguments that continued AI development poses certain catastrophic risk to humanity. They discuss the liminal feeling of the current moment in AI, Rice’s theorem & the unknowability of alignment, the analogy & disanalogy of bridge-building, external ensemble testing, the emergence of a feedback curve, the danger of replacing human oversight with machine oversight, Eliezer Yudkowsky’s AI risk work, instrumental convergence risk, inequity issues, deepening multipolar traps, substrate needs convergence, environmental degradation, developing collective choice-making among humans, economic decoupling, the Luddite movement, fully automated luxury communism, the calculation problem, the principal-agent problem, corruption, agency through autonomous military devices, implicit agency, institutional design, the need for caring, hierarchy & transaction, care relationships at scale, using tech to correct the damages of tech, love as that which enables choice, institutions vs communities, techniques of discernment, enlivenment, empowering the periphery, and much more.

Forrest Landry is a philosopher, writer, researcher, scientist, engineer, craftsman, and teacher focused on metaphysics, the manner in which software applications, tools, and techniques influence the design and management of very large scale complex systems, and the thriving of all forms of life on this planet. Forrest is also the founder and CEO of Magic Flight, a third-generation master woodworker who found that he had a unique set of skills in large-scale software systems design. Which led him to work in the production of several federal classified and unclassified systems, including various FBI investigative projects, TSC, IDW, DARPA, the Library of Congress Congressional Records System, and many others.


Currents 088: Melanie Mitchell on AI Measurement and Understanding



Jim talks with Melanie Mitchell about her critique of applying standardized exams to LLMs and the debate over understanding in AI. They discuss ChatGPT and GPT-4’s performance on standardized exams, questioning the underlying assumptions, OpenAI’s lack of transparency, soon-to-be-released open-source LLMs, prompt engineering, making GPT its own skyhook to reduce hallucinations, the number of parameters in GPT-4, why LLMs should be probed differently than humans, how LLMs lie differently than humans, Stanford’s holistic assessment for LLMs, a College Board for LLMs, why the term “understanding” is overstressed today, consciousness vs intelligence, the human drive for compression, working memory limitations as the secret to human intellectual abilities, episodic memory, embodied emotions, the idea that AIs don’t care, calling for a new science of intelligence, the effects of differing evolutionary pressures, whether a model of physics could emerge from language learning, how little we understand these systems, and much more.

Melanie Mitchell is Professor of Computer Science at Portland State University, and External Professor and Co-Chair of the Science Board at the Santa Fe Institute. Mitchell has also held faculty or professional positions at the University of Michigan, Los Alamos National Laboratory, and the OGI School of Science and Engineering. She is the author or editor of seven books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems, including her latest, Artificial Intelligence: A Guide for Thinking Humans.


EP 182 Brad DeLong on An Economic History of the 20th Century



Jim talks with Brad DeLong about his book Slouching Toward Utopia: An Economic History of the Twentieth Century. They discuss how everything changed around 1870, the idea of a polycrisis, Friedrich von Hayek’s affirmation of the market system, the calculation problem, Karl Polanyi’s response, a quantitative index of technological knowledge, the pace of growth, the necessity of a grand narrative, Malthusianism, the lead-up to the Industrial Revolution, the invention of the industrial research lab, the Edison-Tesla fight, science as an institution, the transition away from force & fraud dominance, theories about the rise of global empires, communities of engineering practice, causes of World War I, Max Weber’s German chauvinism, 30 glorious years of social democracy, the Macintosh launch commercial & the neoliberal turn, the evaporation of cultural conservatism, the liminal age, and much more.
Brad DeLong is a professor of economics at the University of California at Berkeley. He was a deputy assistant secretary for economic policy at the U.S. Treasury during the Clinton Administration. He is a New York Times instant bestselling author, for Slouching Towards Utopia: An Economic History of the Twentieth Century, which was called: “magisterial” by Paul Krugman, “required reading” by Larry Summers, “immense scope and depth” by Diane Coyle, and “impressive… written with wit and style and a formidable command of detail” by Ryan Avent. He has been too online since 1995, now in the form of a SubStack, formerly at TypePad.

Currents 087: Shivanshu Purohit on Open-Source Generative AI



Jim talks with Shivanshu Purohit about the world of open-source AI models and a significant open-source LLM coming soon from Stability AI and EleutherAI. They discuss the reasons for creating open-source models, the release of Facebook’s LLaMA model, the black box nature of current models, the scientific mystery of how they really work, an opportunity for liberal arts majors, OpenAI’s new plugin architecture, the analogy of the PC business around 1981, creating GPT-Neo & GPT-NeoX, the balance between data & architecture, the number of parameters in GPT-4, order of training’s non-effect on memorization, phase changes due to scaling, Stability AI and EleutherAI’s new collaboration & its specs, tradeoffs in price & size, the question of guardrails, reinforcement learning from human feedback, the missing economic model of generative AI, necessary hardware for the new suite, OpenAI’s decreasing openness, Jim’s commitment to help fund an open-source reinforcement learning dataset, the status of GPT-5 & other coming developments, and much more.

Shivanshu Purohit is head of engineering at Eleuther AI and a research engineer at Stability AI, the creators of Stable Diffusion.


EP 181 Forrest Landry Part 1: AI Risk



Forrest Landry
Jim talks with recurring guest Forrest Landry about his arguments that continued AI development poses certain catastrophic risk to humanity. They discuss AI versus advanced planning systems (APS), the release of GPT-4, emergent intelligence from modest components, whether deep learning alone will produce AGI, Rice’s theorem & the impossibility of predicting alignment, the likelihood that humans try to generalize AI, why the upside of AGI is an illusion, agency vs intelligence, instrumental convergence, implicit agency, deterministic chaos, theories of physics as theories of measurement, the relationship between human desire and AI tools, an analogy with human-animal relations, recognizing & avoiding multipolar traps, an environment increasingly hostile to humans, technology & toxicity, short-term vs long-term risks, why there’s so much disagreement about AI risk, the substrate needs hypothesis, an inexorable long-term convergence process, why the only solution is avoiding the cycle, a boiling frog scenario, the displacement of humans, the necessity of understanding evolution, economic decoupling, non-transactional choices, the Forward Great Filter answer to the Fermi paradox, and much more.

Forrest Landry is a philosopher, writer, researcher, scientist, engineer, craftsman, and teacher focused on metaphysics, the manner in which software applications, tools, and techniques influence the design and management of very large scale complex systems, and the thriving of all forms of life on this planet. Forrest is also the founder and CEO of Magic Flight, a third-generation master woodworker who found that he had a unique set of skills in large-scale software systems design. Which led him to work in the production of several federal classified and unclassified systems, including various FBI investigative projects, TSC, IDW, DARPA, the Library of Congress Congressional Records System, and many others.


Currents 086: Monica Anderson on Bubble City



Jim talks with Monica Anderson about her paper “Bubble City Design Proposal: A Twitter Alternative Which Is Not a Social Medium.” They discuss the origins of the Bubble City idea, its architecture, quenching the flood of social media information, only seeing the messages you want, research bots, the difference between a bubble and a Slack channel, fine-tuning bubbles, law enforcement, filtering, the place of curators, federating feeds into the system, how the system supports itself financially, how identity is handled, viscosity, the Pacer speed control, the clickbait problem, trusted streams, Google Wave, how LLMs are changing programming, version changes to Bubble City, Understanding Machine One, a call for fundraising, and much more.

Monica Anderson is an independent AI researcher and ex-Googler operating from Silicon Valley. Her company Syntience, Inc. has researched computer-based Natural Language Understanding since Jan 1, 2001.