Steven M. Muskal, Ph.D.
AI Pioneer | Drug Discovery Expert | Creative Innovator | Serial Inventor
CEO of Eidogen-Sertanty with over 40 years at the intersection of AI, chemistry, biology, and drug discovery. Host of the Renaissance Circle podcast. Builder of AI-Steve, Food Health Scan, and AI-Dad.
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Articles
Essays, podcast episodes, and conversations from Renaissance Circle - Dr. Steven Muskal's Substack. AI, health, drug discovery, music, and the art of feeling good.
AI for Everyone
AI for Everyone opens in a lecture room in 1990, where a young Steven Muskal presents neural-network work and hears the sentence that closes doors: that is no big deal, we knew that decades ago. Sung-Hou Kim widens the room instead of piling on, and that choice becomes the essay's spine - expertise can humiliate the next generation, or it can help it keep going. Decades later, as AI takes off, Steve catches the same dismissive line forming in his own mouth and resolves to hold the door open instead.
What makes that invitation real is that the tools now build themselves in plain English. Steve describes shipping real products - Toast Our Friend, AI-Dad, Image Explorer, a patient CT viewer, Food Health - by saying what he wanted and letting the system build it. He turns the fear of being replaced into a better question, which parts of the work should no longer consume a life, and argues the durable edge stays human: fresh, honest, original content is the scarce resource now that models have nearly drained the web's supply, so content, not compute, makes kings.
From there the piece widens to where the race is actually won. Frontier models spread too fast through open weights to stay ahead, so deployment wins, and nations win it with millions of ordinary people turning what they know into working software - the way a medical student's four years of flashcards became Study with Hannah in a single day. If you can measure it, you can monetize it. Steve closes with four moves anyone can make now that the cost of building has collapsed: use it, share it, preserve it, and build it - choosing to be the voice that says come join the party.
AI DemocratizationNatural-Language CodingAI LiteracyNo-CodeCompetitive AdvantageHuman Flourishing
That Go There
That Go There starts with a phone call about an old tape: Steve's older daughter at two and a half, on the floor with a wooden puzzle of the United States, setting every state in its exact spot and naming the capitals in the small serious voice kids use when they already know they are right. She could not do it today. Neither could he. The tape still can - thirty-some years later, press play and it all comes back.
That gap, between what a mind lets go of and what a piece of media holds onto, becomes a practical argument about memory preservation. The tape survived five dying formats only because someone kept moving it forward. The Library of Alexandria in your garage does not announce when it starts to fade: find the tape, the drive, the format nobody has opened in a decade, and move it somewhere that survives the next format change - then celebrate the people on it while they can still watch.
Memory PreservationDigital ArchivingFormat ObsolescenceHome VideoFamily LegacyToast Our Friend
Study with Hannah
Study with Hannah starts at a kitchen table, where Steve learns his daughter has quietly built a personal knowledge base of more than 62,000 medical study cards, backed by tens of thousands of her own annotated histology slides, radiographs, and diagrams. It is the residue of two associate degrees earned before she could vote, a psychology bachelor's, four of six years at Semmelweis University in Budapest, and a USMLE Step 1 pass well ahead of her class. Her classmates had been using all of it for free.
In about a day that conversation became StudyWithHannah.com: keyword search across her notes, semantic image search over the slide archive, and a conversational AI tutor that quizzes from her own cards and cites them instead of generic textbook filler. The essay widens from there. A stock-photo site still licenses a newspaper photo of Hannah at four years old, taken at a library event two decades ago, without her consent or a cent. Education is already a market, and students are perpetually the customer and never the seller. If schools can monetize the process of educating students, why can't the student who did the distilling be the one at the counter?
Study with HannahMedical EducationUSMLEStudent Data OwnershipAI TutorSemantic Image Search
Universities Built the Bomb. Now Build This.
Universities Built the Bomb. Now Build This asks whether elite research universities will treat AI as a threat to scarce degrees or as the next infrastructure for public knowledge. Starting from a conversation with Sung-Hou Kim, the essay argues that Berkeley and its peers can build institution-specific AI knowledge systems from their own research, courses, libraries, and faculty expertise.
The piece is both proposal and historical challenge: use RAG, citations, privacy boundaries, licensing, and faculty incentives to make university knowledge interactive and accountable. Berkeley's cyclotron, plutonium chemistry, and Oppenheimer network become the frame for a new question: who will build the civic infrastructure for intelligence?
University AIRAGBerkeleyKnowledge SystemsHigher Education
Toast Our Friend
Toast Our Friend begins with a thought from Julie's celebration of life: the best stories often arrive too late for the person to hear them. The essay follows Scott Miller, Mike Szwajkowski, Steve Cooper, Tom Shearer, Sung-Hou Kim, and AI-Steve to show how a grief-born tool became a celebration engine for people who are still here.
The piece turns that grief-born insight into a practical invitation: create a circle, collect video toasts, photos, humor, gratitude, and memory, and let the person feel the force of the relationships around them now. The urgent question is simple: who shaped you, and have you told them?
Celebration EngineDigital LegacyStorytellingToast CirclesAI-Steve
Built in One Afternoon, Worth $100M: Steven Muskal on Traction with Lloyed Lobo
Steve joins Lloyed Lobo on Traction for a wide-ranging conversation that starts with early neural networks for protein structure prediction and moves into AI drug discovery, AI-Steve, AI-Dad, Food Health, and the practical limits of any model when human judgment still matters.
The episode also turns personal: wearables, HRV, CGMs, sleep, recovery, cold exposure, stress, and N-of-1 experimentation. The core point is that data becomes useful only when it is personal, longitudinal, and interpreted with enough calm to avoid turning optimization into another source of cortisol.
Traction PodcastLloyed LoboAI Drug DiscoveryFood HealthN-of-1 HealthWearablesCommunity
Same Lab, Different Decades: How Two Berkeley Scientists See the Future of Drug Discovery
Same Lab, Different Decades follows Steven Muskal and Jonas Lee through two eras of the Sung-Hou Kim Lab at UC Berkeley and into the future of drug discovery. The essay connects structural biology, membrane proteins, GPCRs, ABC transporters, AlphaFold, RF diffusion, proteomics, and AI model limits to a practical thesis: algorithms only become powerful when they have high-quality scientific content. Jonas's path through Berkeley, Caltech, Amgen, Janssen, and Encodia opens into larger questions about broken academic science, pharma redundancy, China biotech speed, open-source data sharing, prevention, and how scientific talent should be deployed.
Jonas LeeSung-Hou Kim LabStructural BiologyAI Drug DiscoveryAlphaFoldProteomicsChina BiotechOpen Source Pharma
The Rise of the Machine
The Rise of the Machine argues that language models were only AI's first act. The next frontier is physical intelligence: machines that unite cognition with dexterity, sensors, balance, energy discipline, and real-world feedback. Steve frames the global race as America's software and mind bet versus China's hardware and hands bet, then pushes past the contest: neither side wins without coupling prediction to action. From the evolution of the human hand and cortex to baseball's split-second forward model, autonomous vehicles, warehouse robotics, humanoid hands, and the neglected constraint of lightness, the essay asks what it takes for AI to move safely and usefully among us. It closes on the human question: how to plan for disruption with training, guardrails, and on-ramps rather than being surprised by the machines already stepping into the room.
Physical AIEmbodied IntelligenceRoboticsHumanoid RobotsAI Automation
Content Makes Kings
Content Makes Kings argues that the next scarce resource in AI is not more synthetic text, but fresh, trustworthy human-generated work. Steve connects model collapse, GIGO, overfitting, and data hygiene to lessons from neural networks, drug discovery, autonomous driving, and machine translation: models only get as good as the data they ingest. The essay reframes writers, researchers, domain experts, and creators as future kingmakers whose verified voice, expertise, and relationship to reality may become licensable training data. From simulation failures to sensor-rich autonomous vehicle data and patent-document translation corpora, the point is practical: quality training data, not sheer volume, is what keeps AI grounded.
AI Training DataModel CollapseGIGOData HygieneHuman ContentContent LicensingCreator Economy
Your Kitchen Is a Pharmacy. Here's the Proof.
Your Kitchen Is a Pharmacy turns food as medicine into a computational chemistry problem. Starting with a high pharmacophore similarity between Pravastatin and Ganoderic acid from Reishi mushrooms, Steve explains how Drug-to-Table uses QSAR, PharmPrint-style 3D pharmacophore fingerprints, and molecular feature geometry to find non-obvious natural compounds that may resemble known drug biology. The essay is a hypothesis engine, not medical advice: it shows how pharmaceutical-grade tools can be pointed at food, spices, mushrooms, and traditional remedies to generate testable ideas about molecular nutrition. It also connects that science to Food Health Scan: logging meals, estimating nutrition from photos and notes, syncing health data, and looking for personal correlations over time.
Drug-to-TableFood as MedicinePharmacophore SimilarityQSARPharmPrintPravastatinGanoderic AcidReishiFood Health Scan
The Birth of AI Steve: Skating to Where the Puck Is Going
In 1991, Steve's PhD thesis predicted features of protein structure with computer-simulated neural networks - thirty-three years before AlphaFold's Nobel. This essay reframes that arc not as prescience, but as a pattern: dopamine-driven curiosity, pursued at the bleeding edge long enough that the world catches up. The through-line runs from AI-Dad's grief-born experiments in legacy preservation, through Toast Our Friend's celebration of people in real time, through Food Health's belief that food is medicine, to AI-Steve - an operating system for the present, governed by a loop where the AI proposes its own extensions but never executes them without human approval.
AI SteveAlphaFoldNeural NetworksThe Governed LoopDopamine-Driven CuriositySkating to the Puck
Too Big to Fail?
Too Big to Fail? treats AI as cognitive infrastructure rather than a novelty tool. Steve compares the pull of always-on AI assistance to the way Big Food rewired daily appetite: useful, powerful, and easy to overuse. The essay connects dopamine loops, session saturation, successor prompts, cognitive offloading, and gut-instinct atrophy to a practical discipline for AI work. The goal is not abstinence; it is friction, judgment, and enough hormetic stress to keep the human mind sharp while using AI as leverage.
AI InfrastructureDopamine ArchitectureCognitive AtrophyHormetic StressToo Big to Fail
The Metabolic Crisis Is Not a News Story
The Metabolic Crisis Is Not a News Story argues that metabolic dysfunction is not an abstract public-health headline; it is visible in neighbors, friends, families, and often ourselves. Roughly 88-93% of American adults carry at least one metabolic risk factor, yet daily signs of glucose dysregulation have been normalized. Steve frames continuous glucose monitors, food logging, and personal health data as the practical way to make hidden feedback visible. The essay then connects individual measurement to social-network effects, making the case that reversal scales when awareness, habits, and data move through communities.
Metabolic HealthGlucose TrackingCGM TechnologySocial NetworksLifestyle Data
AI Steve II: The Governed Loop
AI Steve II explains the architecture of a personal AI that can identify useful next capabilities, propose extensions, and still wait for human approval before acting. Steve uses the governed loop to separate self-extension from autonomy: the AI can suggest, organize, and amplify, but oversight remains explicit. The essay ties RAG, personal memory, productivity, and safety architecture to a human question raised by a 91-year-old at a hillside spa: what should amplified time be for? Its answer is presence, deeper engagement, and purposeful work.
AI GovernanceRAGHuman-in-the-LoopPersonal AIAI Safety
The Fire This Time
The Fire This Time argues that AI is not just another communications technology; it is a general-purpose force closer to fire. Steve uses James Baldwin's framing to describe a civilization-scale shift in which intelligence becomes broadly accessible beyond elite institutions, credentials, geography, and pedigree. The essay is optimistic without being naive: democratized intelligence can help brilliant minds contribute to hard problems, but it also demands judgment, stewardship, and a broader sense of who gets to build the future.
AI DemocratizationIntelligence as FireInstitutional GatekeepingCivilizational Shift
Are We There Yet?
Are We There Yet? is a field note from the moment AI gives individuals and small teams the operating leverage once reserved for large organizations. Steve argues that the surprising part is no longer capability: code, research, writing, design, and coordination can now be amplified by agentic tools. The harder question is judgment. When one person can act like an army, taste, ethics, prioritization, and restraint become the real scarce resources.
Agentic AIAI JudgmentOne-Person ArmySolo Builders
Food Is Medicine. But First It Has to Become Data.
Food Is Medicine. But First It Has to Become Data reframes nutrition as an information problem. Good advice cannot close the loop unless meals are captured in a form that can be reviewed, compared, and linked to biology. Steve connects meal photos, food logs, nutrition estimates, glucose response, sleep, recovery, and wearable health data to the practical idea behind Food Health Scan. The essay argues for N-of-1 feedback: turn daily eating into structured observations so food can become a real health signal rather than a vague aspiration.
Food as MedicineNutrition DataN-of-1 HealthHealth AI
We've Already Reached AGI. The Market Just Hasn't Admitted It Yet.
We've Already Reached AGI argues that the technical surprise may already be behind us. Steve frames AGI as a Zero to One threshold: once general capability exists in usable form, markets start pricing One to N - deployment, distribution, integration, trust, and business-model execution. The essay shifts attention from abstract benchmarks to the practical economics of getting intelligence into workflows, institutions, and daily decisions.
AGIZero to OneAI DeploymentMarket Timing
The N-of-1 Health Stack
The N-of-1 Health Stack asks why so much wearable and Apple Health data feels busy but not useful. Steve argues that population averages and normal ranges are helpful for screening, but too blunt for understanding one person over time. The real signal lives in personal baselines, trajectories, variance, and context: sleep, movement, heart rate, temperature, oxygen saturation, labs, workouts, recovery, meals, and symptoms viewed as a longitudinal system. The stack is a blueprint for turning scattered dashboards into practical health intelligence: detect what changed, connect behavior to response, look for lagged correlations, and build feedback loops that help a person learn their own biology rather than compare themselves to an average.
N-of-1 HealthApple HealthWearablesPersonal BaselinesLongitudinal DataHealth AnalyticsShareHealth
AI-Steve Deep Dive
AI-Steve Deep Dive explores what happens when a personal AI becomes an extension of intellect rather than a generic chatbot. The essay frames AI-Steve as a research, coaching, and workflow companion built around memory, retrieval, context, and reasoning. It connects personal knowledge systems, RAG architecture, and human-in-the-loop oversight to a practical question: how can AI help a person think, remember, decide, and create with more continuity?
Curiosity Is the Only Sustainable Edge
Curiosity Is the Only Sustainable Edge follows Steve and Moritz "Moe" Koeppenkastrop-Lueker in a conversation that treats curiosity as a durable advantage, not a personality quirk. The episode looks at how asking better questions shapes science, startups, creative work, and reinvention. It is a walk-the-talk discussion about staying open, learning in public, and using curiosity as the engine for a more adaptive life.
When Constraint Becomes a Superpower
When Constraint Becomes a Superpower is a conversation with Gibson Hanks about how limits can become creative leverage. The episode looks at constraints not as obstacles to avoid, but as pressure that can sharpen problem solving, resilience, adaptation, and execution. It fits the Renaissance Circle theme of turning lived experience into practical insight for building, leading, and staying useful.
Christmas Lights, The Beetle and Recursion
Christmas Lights, The Beetle and Recursion uses everyday perception as an entry point into a deeper question about intelligence. Steve reflects on recursion, pattern recognition, and the way meaning emerges between observer and signal rather than inside either one alone. The essay connects AI, cognition, perception, and lived metaphor into a compact meditation on why intelligence often lives in the in-between.
AI-Dad: Preserving Legacy Through Conversational Intelligence
AI-Dad is both a technical project and a family story. Steve describes building an AI that can carry forward a father's wisdom, legal expertise, stories, voice, and love through conversational access to family archives. The essay connects RAG, voice technology, memory, grief, and intergenerational storytelling to a practical question: how can AI help preserve what would otherwise disappear when a person is gone?
Community is the Moat
Community is the Moat features Lloyed Lobo, cofounder of Boast.ai and Traction, in a conversation about building movements rather than only companies. The episode connects startup durability, community design, belonging, health, movement, food, and sleep. Its through-line is that a real community can become a moat because it creates trust, identity, and repeated participation that marketing alone cannot buy.
Behind the Bar, Ahead of the Curve
Behind the Bar, Ahead of the Curve turns a hospitality conversation with Dakota and Vlad into a study of people skills. The episode explores hustle, reading a room, service instincts, customer signal, timing, and the practical intelligence required behind the bar. It connects hospitality to entrepreneurship and machine-learning language by showing how skilled humans constantly classify, predict, adapt, and make guests feel seen.
Grit, Curiosity & Building What Matters
Grit, Curiosity & Building What Matters follows Megan Phillips and Fernanda Campos through biomedical roots, bold ideas, and the lived work of turning expertise into something useful. The conversation centers on grit, curiosity, career pivots, and the discipline of building what matters rather than what only looks impressive. It is a practical episode for scientists, founders, and builders translating knowledge into impact.
Glucose, Grit & Breaking Glass Ceilings
Glucose, Grit & Breaking Glass Ceilings features Christy Shearer on personal passion, professional pivots, and the hard-won expertise behind medical devices. The conversation connects glucose management, patient-centered technology, career resilience, and leadership in technical fields. It is both a health-tech discussion and a story about persistence, reinvention, and making complex tools work for real people.
Music, Security, and Meaning
Music, Security, and Meaning brings Steve together with Dom Mather for a conversation spanning cybersecurity, musicianship, identity, heritage, and balance. The episode looks at how technical discipline and creative practice can shape one another, and how music can remain a grounding force amid high-stakes security work. It is a Renaissance Circle blend of craft, safety, meaning, and human rhythm.
Science, Startups, and Serendipity
Science, Startups, and Serendipity is a raw session with Devon Cayer about the unexpected paths that connect curiosity, science, entrepreneurship, and opportunity. The conversation leans into the messy middle of building: experiments, chance encounters, practical pivots, and the discipline to notice when a side path becomes the path. It adds texture to the founder journey beyond polished origin stories.
Homeownership, Healthcare, and AI
Homeownership, Healthcare, and AI asks whether the next generation will be better off, using family conversation as the frame for larger economic and technological questions. The card sits at the intersection of generational opportunity, housing affordability, health care, and AI's uncertain effect on work and security. It is less a prediction than a cross-generational check-in on what progress should actually mean.
Will Writers Hold the Key to AI?
Will Writers Hold the Key to AI? explores artificial intelligence, education, and the future of expertise through the lens of writing. Steve asks whether writers, teachers, and domain experts hold a special role in an AI world because they preserve context, judgment, structure, and original thinking. The piece connects authorship to learning, critical reasoning, and the training signals that shape intelligent systems.
Inside the Story: Pro Tips from Scott Miller
Inside the Story features Scott Miller on the craft of storytelling, reporting, and drawing life lessons from a career around professional baseball. The conversation focuses on listening, structure, timing, and the details that turn facts into narrative. It is a useful card for anyone interested in communication, journalism, sports writing, or the human discipline behind a good story.
Healing through music
Healing through music brings Steve and Jerome Dawson into a conversation about music as a force for healing, uplift, memory, and connection. The episode treats performance as more than entertainment: songs can organize emotion, create community, and help people move through difficult seasons. It fits the broader Renaissance Circle thread of health, creativity, and the art of feeling good.
Two founders recount their unexpected career paths
Two founders recount their unexpected career paths explores how skills can be repurposed when life or opportunity points in a new direction. The conversation focuses on reinvention, entrepreneurship, and the practical confidence that comes from noticing what transfers across fields. It is a useful episode for people navigating career pivots, founder uncertainty, or second-act professional identity.
A Quarter Century+: Talking with Neil Peretz
A Quarter Century+ captures a long-arc conversation with Neil Peretz about entrepreneurship, law, friendship, and the networks that matter at different stages of life. Steve frames the value of entrepreneurial friends, lawyer friends, and doctor friends as a practical map of adulthood. The episode is part career reflection, part relationship audit, and part reminder that durable friendships can become real infrastructure.
Do You Have Grit?
Do You Have Grit? starts from a deceptively simple family question: what did you do as a kid that was strange? From there, the piece turns childhood oddities into clues about persistence, curiosity, resilience, and identity. It is a personal reflection on the early behaviors that can look unusual in the moment but later reveal the raw material for grit.
Father-Daughter Face-Off (part two): Medical Training Overseas
Father-Daughter Face-Off part two moves from family memory into medical training overseas. The conversation uses "OG" Great-Grandma Helen as an anchor for a broader discussion about lineage, education, ambition, and the different routes people take into medicine. It keeps the father-daughter format while widening the lens to global training, family influence, and inherited drive.
Father-Daughter Face-Off (part one): Comparing Gen-X and Gen-Z
Father-Daughter Face-Off part one compares Gen-X and Gen-Z through a candid family conversation. Steve and his daughter use the generational contrast to explore communication, expectations, technology, work, education, and the different pressures each cohort takes for granted. It is a personal entry point into a wider question: what changes, and what stays human, across generations?
Optimizing Sleep: Measure to Manage
Optimizing Sleep: Measure to Manage treats sleep as a practical health system that improves when it is measured, observed, and iterated. Steve frames the "room for improvement" as an invitation to use tracking, routines, environment, and recovery signals to learn what actually changes sleep quality. It connects personal experimentation with the broader N-of-1 principle: better data enables better habits.
My Story: A Mitochondrial Journey
My Story: A Mitochondrial Journey uses ancestry and mitochondrial inheritance as a way into health, family, biology, and gratitude. Steve reflects on the maternal line, the ancestors who carried that biological thread forward, and what it means to see personal health in the context of deep continuity. The piece blends science with memory, identity, and respect for the people whose lives made ours possible.
Sleep Optimization Go-To's
Sleep Optimization Go-To's gathers the practical tools, routines, and experiments Steve uses to improve sleep and recovery. Rather than treating sleep as a single trick, the card points to a living stack: environment, timing, habits, tracking, and small interventions that can be tested over time. It pairs well with the measure-to-manage mindset behind the broader health content.
Welcome to Renaissance Circle
Welcome to Renaissance Circle introduces the publication as a no-hidden-agenda home for health, music, entrepreneurship, science, and personal experimentation. Steve sets the tone for a monthly pulse that mixes practical well-being tips, project updates, conversations, and creative work. It is the starting point for the site's broader theme: learn broadly, build honestly, and keep finding the art of feeling good.