The Jim Rutt Show

Jim talks with Bruce Damer about genius and the use of psychedelics for creative thinking. They discuss the roots of genius, the discovery of fire, Einstein's four great discoveries, building blocks of genius, endotripping vs exotripping, set, setting, & setup, the danger of over-relying on LLMs for knowledge, geniuses in the scanner, crosstalk in the brain, the prepared mind, Bruce's lifelong experience of endotripping, rapid retripping, lucid dreaming, getting psilocybin from Terence McKenna, ayahuasca, Steve Jobs's LSD experience, external constraints, Bruce's epiphany about the origins of life, hypothesizing as a non-rational process, the stoned ape theory, psychedelics in Eleusis, human brain sizes & assisted birth, hypnagogic trip states, casualties of the early psychedelic era, a call for serious practitioners, a proposal for string theorists, Charles Manson & the importance of screening for wisdom, the increasing need for genius, and much more.

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.

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.

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.

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.

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.

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.

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.

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.

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.