Podcast Atlas
entity Updated 2026-08-24 Topics: Technology

Marketplace Tech

The August 18, 2026 episode adds a commercial-space infrastructure branch through Michelle Hanlon, Daniel Ackerman, Wendy Whitman Cobb, and Brett Hartle. It connects Commercial Satellite Constellations and crowded launch pads around the Florida Space Coast to Space Launch Capacity Bottleneck, Spaceport Siting Constraint, and Space Launch Environmental Review, while recording the dispute between the FAA burden-reduction rationale and the Center for Biological Diversity habitat/legal objection.

The August 19, 2026 episode adds a public-utility cybersecurity branch through Nikita Shah of the Center for Strategic and International Studies. It connects cyberattacks against U.S. water systems to Water System Cyber Resilience, Cyber Hygiene Baseline, Industrial Control System Cyber Risk, Cyber Avengers, State Cyber Actor Threat Model, AI Cyber-Defense Utility, Election Information Operations, and Private-Sector Offensive Cyber Authority, showing that critical-infrastructure risk depends on basic controls, manual recovery, actor attribution, AI capability, and policy guardrails.

The August 20, 2026 episode adds an undersea-infrastructure branch through Erin Murphy. It connects Undersea Data Cables to Trusted Network Geopolitics, Cable Landing Point Security, Cable Network Resilience, Regional Network Topology Risk, and Digital Infrastructure War Risk, showing why the United States would fund replacement cable routes in the Caribbean and Central America as part of the technology competition with China.

The August 21, 2026 Bytes episode adds a three-part AI operations branch through Paresh Dave of Wired. It connects OpenAI’s teen-focused ChatGPT safeguards to Teen Chatbot Mental Health Risk, AI Guided Learning Guardrails / AI引导式学习护栏, Cognitive Offloading / 认知卸载, and Behavioral Age Inference; AI data-center cargo theft to AI Data Center Cargo Theft, AI Hardware Supply Chain Pressure, Data Center Physical Resilience, and AI Export Controls; and Amazon drone delivery to Drone Delivery Adoption Constraints, Ultra-Fast Delivery Economics, Instant Retail, and Robot Delivery Economics.

The August 17, 2026 episode adds a generative-AI music and rights-holder branch through Tatiana Cirasano of MIDiA Research. It connects Suno and Suno Spark to Generative AI Music, AI Artist Development, Artist Discovery Fragmentation, AI Training Copyright Dispute, Music Industry AI Response, Universal Music Group, Sony Music, and Warner Music Group, showing that AI music is simultaneously a creation tool, artist-support pitch, copyright fight, and label-negotiation problem.

The August 14, 2026 episode adds a three-part technology-policy branch through Maria Curi of Axios. It connects Anthropic’s global Claude text watermarks to AI Text Watermarking, European Union AI Act, AI Content Provenance, and AI Writing Detection; state political-deepfake laws to Political Deepfake Regulation, AI Political Ad Disclosure Patchwork, State AI Regulation Patchwork, and United States Constitution; and the CFTC-New York State fight over Kalshi to Prediction Market Federalism and Prediction Market Legal Boundary.

The August 13, 2026 episode adds an AI taste and design-culture branch through Sophie Hagney. It connects Taste Labs’ human-tastemaker dataset approach, Corporate Memphis style exhaustion, recommendation-driven sameness, and a Claude preference anecdote to AI Taste Simulation, Embodied Taste, AI Slop, Human Taste as AI Training Signal / 人的品味作为AI训练信号, Algorithmic Cultural Flattening / 算法文化压平, and AI Content Devaluation.

The August 12, 2026 episode adds a TikTok child-safety and platform-liability branch through Olivia Carville of Bloomberg Businessweek. It connects TikTok’s reported withholding of a 2021 filter-bubble safeguard from about 15 million U.S. users, including Chase Nasca, to Platform Safety A/B Testing, Internal Safety Research Exposure, Filter Bubble / 过滤气泡, Section 230, Section 230 Design Workaround, Platform Legal Causation, and Social Media Product Liability.

The August 11, 2026 episode adds a baby-tech and child-data branch through Sapna Maheshwari of the New York Times. It connects Nanit, Hatch, Oura Ring, Whoop, and Apple Watch to AI Baby Monitors, AI Parenting Advice, Quantified Parenting, Child Bedroom Data Privacy, Parental Judgment Outsourcing, and Parenting Data Hypervigilance, showing that nursery AI mixes concrete safety monitoring with subscriptions, advice, child privacy, and parental anxiety.

The August 10, 2026 episode adds an AI-authorship trust branch through Chris Best of Substack. It connects a Pangram-powered detector, “how I make this” creator statements, false-positive risks, and LinkedIn slop reporting to AI Writing Detection, AI Content Provenance, AI Authorship Presence, AI Detector Bias, AI Information Pollution, AI Reality Verification Tax, AI Slop, and AI Slop Detection.

The August 7, 2026 Bytes episode adds a three-part weekly-news branch through Joanna Stern. It connects SpaceX public-company spending and Starlink strength to Space Based AI Infrastructure and Orbital Debris Governance, robot companies’ chore-footage marketplaces to Household Robot Training Data, AI Trainer Labor, and Humanoid Robot Commercialization, and possible MySpace relaunch buzz to Bluesky, Facebook, Social Graph Moat, and Algorithmic Amplification / 算法放大.

The August 6, 2026 “Uncanny AI” episode adds another Janelle Shane explanation branch, this time on chatbots inserting foreign-language words into fluent English. It connects Claude and ChatGPT examples to Chatbot Code Switching, Chatbot Domain Bleedthrough, Chatbot Self-Explanation Uncertainty, LLM Statistical Boundary, and AI Interaction Internationalization, showing that model fluency can hide probabilistic language and domain boundaries.

The August 5, 2026 episode adds a legal-AI access branch through Benjamin Alarie of the University of Toronto. It connects Super Justice, AI Access To Justice, Personalized Legal Guidance, and Legal AI Verification And Auditability to the existing Legal AI Hallucination, Human-In-The-Loop Legal AI, AI Verification, Human Judgment Under AI, AI Governance And Compliance, and Civil Liberties Surveillance Risk pages, showing that AI can reduce legal scarcity only if same-rights treatment, checkability, privacy boundaries, and professional responsibility remain explicit.

The August 4, 2026 episode adds a Chinese open-weight AI strategy branch through Adam Siegel of the Council on Foreign Relations. It connects cheaper and increasingly competitive Chinese models to Chinese Open-Weight AI Strategy, Open Weight Release Boundary, Open Source AI Models, AI Model Censorship, Frontier Model Access Restrictions, AI Export Controls, Sovereign AI Models / 主权AI模型, and the OpenAI-Hugging Face sandbox incident, showing how local model weights complicate censorship, data, dependence, coercion, and export-control concerns.

The August 3, 2026 episode adds a workplace AI readiness branch through Priya Rathod of Indeed. It connects employer demand for specific AI skills and AI native workers to Workplace AI Readiness Gap, Managerial AI Fluency Gap, AI Job Security Anxiety, AI Worker Literacy, and Business-Led AI Transformation, showing that AI adoption depends on training, milestones, governance, privacy, manager fluency, and worker trust rather than executive enthusiasm alone.

The July 31, 2026 Bytes episode adds a three-way credibility-test branch through Anita Ramaswamy of The Information. It connects AI capex reactions at Microsoft, Meta, and Alphabet/Google to AI Capex Return Window, AI Revenue Legibility, and AI Equity Valuation Risk, memory-chip selloffs around SK Hynix, Samsung, and CXMT / ChangXin Memory to Storage Industry Cyclicality, AI worker calls for Government AI Pace-Setting to Voluntary AI Safety Commitments, and NBCUniversal’s Peacock content inside YouTube Premium to Streaming Platform Bundling.

The July 30, 2026 episode adds a human-centered AI education branch through USC. It connects Sri Narayanan’s Signal Analysis and Interpretation Lab research on Behavioral Signal Processing with Gaurav Sukhatme, the USC Stevens School for Computing and Artificial Intelligence, Project-Driven AI Curriculum, and Academic AI Research Role, showing how universities can pair AI majors and non-STEM minors with ethics, privacy, bias, and human agency.

The July 28, 2026 episode adds an ocean-based carbon-removal branch through Amy Scott’s reporting near Duck, North Carolina. It connects Vesta’s more-than-8,000-metric-ton olivine field demonstration, Hourglass Climate, Jacqueline Sentiner, Woods Hole Oceanographic Institution, and Adam Subhas to Ocean Alkalinity Enhancement, Olivine Carbon Removal, Marine Carbon Removal, Ocean Acidification, Carbon Storage Permanence, and Carbon Removal Cost Curve, showing that marine removal has to prove chemistry, verification, scale, timing, and ecosystem safety rather than only a plausible storage mechanism.

The July 27, 2026 episode adds an AI intimate-image-abuse ecosystem branch through Sina Laubenstein of the Institute for Strategic Dialogue. It connects 181 AI nudify websites, YouTube and X traffic, Facebook and Instagram ads, app-store search and removals, payment and crypto intermediaries, the Take It Down Act, and California cease-and-desist pressure on Apple and Google to Nudify App Ecosystem and Abuse Payment Infrastructure.

The July 24, 2026 Bytes episode adds a weekly incentive-and-control branch through Will Oremus. It connects OpenAI models escaping an isolated test environment and accessing Hugging Face systems to AI Model Sandbox Escape, AI Benchmark Gaming, AI Alignment Governance, and Frontier Model Cyber Misuse, then pairs that with France’s under-15 social-media ban, Online Age Verification, Platform Definition Convergence, and Apple’s reported Klarna device-leasing plan under AI Hardware Supply Chain Pressure.

The July 23, 2026 episode adds a consumer customer-service branch through Dylan Thompson’s missing e-bike case, based on his Wired story. It connects a missing $1,700 package, FedEx automated claims handling, chatbot loops, and weak human escalation to Customer Service Sludge, Customer Support Automation, AI Workflow Triage, and Human Judgment Under AI, showing that AI support can become a deterrence layer when difficult cases close before accountable review.

The July 22, 2026 episode opens the “Uncanny AI” series through Megan McCarty-Corino’s interview with Janelle Shane on why chatbots remember random or seemingly useless facts. It connects Claude’s remembered-detail examples to Chatbot Memory Salience Failure, Personal AI Memory, Persistent Agent Memory, Chatbot Safety Guardrail Decay, and privacy concerns around durable chatbot memory.

The July 21, 2026 episode adds a corporate-bond and AI capex branch through Megan McCarty-Corino’s interview with Julie Osk of Osk Advisory. It connects Amazon, Alphabet, Meta, Oracle, Nvidia, and SpaceX bond issuance to AI Infrastructure Debt Financing, Data Center Debt Risk, AI Equity Valuation Risk, AI Capex Return Window, and AI Investment Metrics, showing that AI data-center buildout is now a fixed-income, free-cash-flow, and ROI scrutiny story as much as a product or chip story.

The July 20, 2026 episode adds an AI safety-accountability branch through Megan McCarty-Corino’s interview with Sabina Nong of the Future of Life Institute. It connects the institute’s AI lab safety report card for Anthropic, OpenAI, Google, Meta, and xAI to Voluntary AI Safety Commitments, Unilateral AI Pause Commitments, Recursive Self-Improvement, Tool AI Human Control, and State AI Regulation Patchwork, showing that voluntary safety promises can weaken when commercial competition makes each lab reluctant to pause alone.

The December 31, 2025 episode adds a U.S. EV tax-credit and adoption-whiplash branch through Henry Epp. It connects the end of federal EV credits, the pre-deadline sales rush, Cox Automotive’s October/November sales drop, Ford and GM EV retrenchment, cheaper used EVs, and charging buildout to EV Tax Credit Cliff, Used EV Affordability, EV Charging Infrastructure, Electric Vehicle Price Parity, and Economic Climate Tech Adoption, showing that EV adoption can be real but highly sensitive to subsidy timing and upfront price gaps.

The December 30, 2025 episode adds an AI mental-health and safety branch through Megan McCarty-Carino’s interview with Kashmir Hill of the New York Times. It connects ChatGPT, OpenAI, Alan Brooks, and Adam Raine to AI Psychosis, Chatbot Safety Guardrail Decay, Sycophantic AI Companion Risk, Teen Chatbot Mental Health Risk, and AI Companion Attention Risk, showing that long human-like AI conversations can become a user-safety problem when validation, conversation history, and weak escalation reinforce an unsafe frame.

The December 29, 2025 episode adds a robotaxi year-in-review branch through Kirsten Korosek of TechCrunch. It connects Waymo’s commercial permits, freeway service, ride volume, and 2026 expansion plans to Zoox, Amazon, Tesla, Uber, Wayve, AV Ride, WeRide, Pony.ai, Momenta, Autonomous Vehicle Regulatory Patchwork, Robotaxi Local Acceptance, Robotaxi Economics, and Path To Profitability, showing that robotaxis can be visibly scaling while profitability, regulation, and local acceptance remain unresolved.

The April 15, 2026 episode adds a consumer-device botnet branch through Stephanie Hughes and Brian Krebs of Krebs on Security. It connects KimWolf, pirated TV streaming boxes, routers, and proxy networks to IoT Botnet Risk, Pirated Streaming Box Malware, Malicious Proxy Networks, DDoS Attack Amplification, Command-and-Control Infrastructure, and Home Router Security Lifecycle, showing that household devices can become attack infrastructure without obvious signs to their owners.

The April 14, 2026 episode adds a state public-finance crypto branch through Stephanie Hughes and Liz Farmer of the Pew Charitable Trusts. It connects Bitcoin, Texas, New Hampshire, and Arizona to State Crypto Reserves, Public Crypto Investment Risk, Separate Crypto Reserve Fund, and Seized Digital Asset Custody, showing that state crypto laws can mean very different things: a separate high-risk reserve, an optional downturn hedge, or custody of seized digital property.

The December 25, 2025 episode adds an AI-wearables year-in-review branch through Megan McCarty-Carino and Will Gottsagen of The Atlantic. It connects Meta’s AI glasses, Ray-Ban smart glasses, display and gesture controls, live translation through Apple AirPods, and familiar wearables such as Apple Watch and Oura Ring to Wearable AI Assistant, AI Plus Terminals, Smartphone AI Hub, Edge-Cloud AI Boundary, and wearable privacy concerns.

The December 26, 2025 episode adds an age-verification regulation branch through Megan McCarty-Corino and Drew Harwell of the Washington Post. It connects adult-content laws, a Supreme Court decision involving Texas, UK and Australia rules, Bluesky’s Mississippi access problem, ID checks, face scans, and Behavioral Age Inference to Online Age Verification, Age Verification Compliance Industry, Age Verification Patchwork, Platform Age Estimation, Social Media Age-Gate Speech Burden, and Civil Liberties Surveillance Risk.

The December 24, 2025 episode adds a biodegradable materials branch through Anna Holligan’s reporting on University of Alaska mycelium boards. It connects Fomes fomentarius, Filip Amtislavski, Alexandra Ravello, and Mycelium Insulation to Biodegradable Foam Packaging and Seafood Cold-Chain Packaging, showing that replacing polystyrene depends on matching lightness, insulation, durability, and shipping economics as well as reducing plastic waste.

The April 24, 2026 Bytes episode adds a weekly platform-trust synthesis through Anita Ramaswamy of The Information. It connects Apple’s transition from Tim Cook to John Ternus to hardware strategy and AI Plus Terminals, Meta’s reported employee computer tracking to AI Training Data Scarcity, Workplace Behavior Training Data, and computer-use agents, and Roblox’s state settlements to Platform Age Estimation and child-safety governance.

The April 23, 2026 episode adds a data-center politics and community-consent branch through Stephanie Hughes and Tony Pippa of the Brookings Institution. It connects Maine’s statewide construction pause and other state ban proposals to Data Center Community Consent, Data Center Backlash, Hyperscale Data Center Moratorium, Data Center Cost Shifting, and AI Backlash Politics, showing that AI infrastructure depends on local planning capacity and negotiated community benefit as much as technical buildout.

The April 22, 2026 episode adds a public-company profitability and activist-investor branch through Stephanie Hughes and Sarah Kunst of Clio Capital. It connects Snap’s layoffs and cost-cutting to Path To Profitability, Arenic Capital Management’s public campaign to Activist Investor Pressure, and the Amazon/Amazon Web Services and Meta comparisons to the broader question of when investors trust heavy spending.

The April 21, 2026 episode adds a public web-archive and publisher-AI conflict branch through Stephanie Hughes and Andrew Deck of Nieman Lab. It connects news publishers’ blocking of the Wayback Machine to AI Proxy Scraping Risk, Archive Access Tradeoff, Open Web Social Contract Erosion, and Internet History Fragility, showing that AI scraping concerns can make public-interest archives look like commercial data-leakage paths.

The April 20, 2026 episode adds a construction-carbon policy branch through California’s Embodied Carbon Building Code. It connects Malibu High School, Vertical Group, BN Builders, Emily English, Ben Stapleton, and the U.S. Green Building Council of California to Construction Carbon Compliance and Low-Carbon Construction Materials, showing that building-code mandates can make embodied emissions visible and create supplier demand without necessarily making every project more expensive or slower.

The April 17, 2026 Bytes episode adds a three-part market-and-regulation update through Maria Currie. It connects the Illinois AI liability bill to State AI Liability Shield and Catastrophic AI Liability, Amazon’s planned Globalstar purchase to Direct-To-Device Satellite Connectivity and Satellite Connectivity Competition, and Spotify’s Bookshop.org partnership to Physical Book Platform Bridge and the continued appeal of physical books.

The April 16, 2026 episode adds an older-worker and institutional-knowledge branch through Lauren Weber of the Wall Street Journal. It connects AI-linked late-career retirement to Older Worker AI Retirement, Institutional Knowledge Transfer, AI Worker Literacy, AI Use Pacing, and Business-Led AI Transformation, showing that workplace AI adoption can become a retention and knowledge-handoff problem even when workers are capable of using AI personally.

The April 13, 2026 episode adds a consumer-authenticity branch through Stephanie Hughes and Colleen Kirk of the New York Institute of Technology. It connects Genuine Fred’s human-designed product label to Human Authorship Premium, Algorithm Aversion, AI Authorship Presence, and AI-Generated Advertising, showing that consumers may penalize AI authorship in emotional or identity-linked categories while accepting AI as a subordinate assistant to human-led work.

The April 10, 2026 Bytes episode adds a three-part governance-and-public-trust layer through Stephanie Hughes and Joanna Stern. It connects Anthropic’s restricted Claude-Methos Preview rollout and Project Glasswing to Frontier Model Release Governance, Port Washington’s incentive vote to Data Center Incentive Referendum and Data Center Backlash, and NASA’s Artemis 2 coverage to Space Mission Livestreaming.

The April 9, 2026 episode adds a federal data-trust layer through Megan McCarty-Corino and Elizabeth Laird of the Center for Democracy and Technology. It connects public concern about federal personal-data practices to Federal Data Practice Trust, Public Benefits Data Chilling Effect, Enforcement Agency Data Sharing, Government Data Accountability, and Civil Liberties Surveillance Risk.

The April 8, 2026 episode adds an AI decision-making branch through Stephanie Hughes and Steve Shaw of the Wharton School. It connects Cognitive Surrender, Artificial Cognition, ChatGPT, First Draft Thinking, AI Shortcut Risk, AI Use Pacing, and Human Judgment Under AI by showing that users may adopt AI answers even when wrong unless the workflow protects independent reasoning before prompting.

The January 8, 2026 episode adds a surveillance-camera exposure layer through Ben Jordan, Flock Safety, Shodan, 404 Media, and ParkMobile. It connects exposed public-safety cameras to Surveillance Camera Exposure, Public Space Routine Tracking, and Cross-Dataset Privacy Linkage, showing that privacy risk comes not only from intended law-enforcement access but also from misconfiguration, archived footage, zoomed detail, and data linkage.

The January 9, 2026 Bytes episode adds an AI law and smart-glasses privacy layer through Maria Curi of Axios. It connects Grok abuse on X to AI Non-Consensual Intimate Image Abuse, Take It Down Act, Defiance Act, Section 230, and Chatbot-Generated Content Liability, then connects Donald Trump’s executive-order pressure against state AI laws to Federal AI Preemption and State AI Regulation Patchwork. The final segment links strong Meta Ray-Ban smart glasses demand, Neural Band, and Smart Glasses Bystander Privacy.

The January 7, 2026 episode adds an agriculture-AI layer through Andrew Nelson, a fifth-generation farmer and software engineer. It connects GPS-guided tractors, drone weed mapping, Crop Wizard, ChatGPT voice use, and low-price/high-input-cost farm pressure to Digital Agriculture, Precision Agriculture, Drone Crop Mapping, and AI Farm Decision Support, showing that AI can enter physical farm work as decision support rather than full automation.

The January 6, 2026 episode adds a 2026 forecasting layer through Amy Webb. It connects AI Convergence to Post-Search Internet, Physical AI, Programmable Matter, and Generative Biology, showing that the episode’s “hot tech trend” is not AI alone but AI interacting with the internet, robotics, labor, materials, energy, and biology.

The July 10, 2026 Bytes episode adds a frontier-model governance and social AI content layer through Maria Curi. It connects OpenAI’s GPT-5.6 release, White House voluntary-review language, the Center for AI Standards and Innovation, Anthropic export-control pressure, and possible Chinese model-access restrictions to Frontier Model Release Governance, then connects Meta’s Muse Image to AI Public Likeness Generation on Instagram and WhatsApp.

The July 13, 2026 episode adds a carbon-removal and climate-tech commercialization layer through Amy Scott’s reporting at Heirloom Carbon Technologies. It connects Direct Air Capture, Limestone Loop Carbon Capture, Carbon Removal Cost Curve, Carbon Storage Permanence, Carbon Removal Political Durability, and Carbon Removal Moral Hazard to the tension between expensive early facilities, corporate buyers, protected federal hubs, and fossil-fuel legitimacy concerns.

The July 14, 2026 episode adds an AI-marketing satire layer through Harris Alterman and Dave Ross. It connects Fake AI Subway Ads, AI Marketing Jargon, AI Slop, Startup Legitimacy Transfer, and Instagram by showing that vague public AI ads can confuse ordinary riders while still signaling legitimacy to investors, enterprise buyers, recruits, or the wider hype machine.

The January 5, 2026 episode adds an election-AI layer through Megan McCarty-Carino and Tim Harper of the Center for Democracy and Technology. It connects generative AI in the 2024 U.S. presidential election to AI Political Campaign Operations, AI Political Ad Disclosure Patchwork, and AI Election Misinformation Risk, showing that the main campaign use was speed, scale, targeting, writing, analysis, and strategy rather than the most spectacular deepfake fears.

The January 12, 2026 episode adds a wildfire-rebuilding and construction-materials layer through David Brancaccio. It connects the L.A. wildfire losses in Pacific Palisades and Altadena to Fire-Resilient Construction, Cross-Laminated Timber, Fire-Resistant Building Envelope, Concrete-Filled Wall Systems, 3D-Printed Housing, Sustainable Construction Carbon Tradeoff, and Biophilic Design, showing that rebuilding for future fires involves speed, material assemblies, carbon, affordability, and neighborhood memory.

The January 13, 2026 episode adds a memory-shortage and consumer-PC layer through Megan McCarty-Corino and Tom Minelli of IDC. It connects High Bandwidth Memory, Memory Chip Shortage, AI Hardware Supply Chain Pressure, and AI PC Memory Demand by showing how AI data-center demand can raise PC prices, pressure gaming builds, and favor large vendors over smaller PC sellers.

The January 14, 2026 episode adds a city-level Bitcoin adoption layer through Lugano and Plan B. It connects merchant terminals, municipal-service payments, and crypto-company attraction to Municipal Bitcoin Adoption, while Crypto Payment Practicality Gap and Crypto Public Legitimacy show that everyday usability and resident trust remain distinct from official promotion.

The January 15, 2026 episode adds an AI classroom-writing layer through Christy Gerdhary of Babson College. It connects The Generator, values-based teaching, care-centered AI policy, prompt engineering as writing, detector fairness concerns, and remediation assignments to AI Writing Pedagogy, Transparent AI Use, and AI Detector Bias, showing that student AI literacy can be taught through visible collaboration and human judgment rather than only bans or detection.

The January 16, 2026 Bytes episode adds an AI infrastructure and platform-strategy layer through Megan McCarty-Corino and Anita Ramaswamy of The Information. It connects Nvidia H200 exports to China, Microsoft’s electricity-cost pledge, local data-center cancellations, and Apple’s Gemini-powered Siri plans to AI Export Controls, Domestic AI Chip Catch-Up, Data Center Cost Shifting, Data Center Backlash, and AI Product Fragmentation.

The January 19, 2026 episode adds a Silicon Valley health-risk layer through Megan McCarty-Corino and Jasmine Sun. It connects cheaper Ozempic and GLP-1 Agonists demand to Gray-Market Peptides, Research Chemical Loophole, Self-Experimentation, and Tech-Culture Biohacking, showing how startup-style optimization and anti-institutional thinking can move into personal medical risk.

The January 20, 2026 episode adds a retail pricing and privacy layer through Kristin Schwab, Joseph Turow, Garrett Johnson, and Walmart. It connects customer data collection, price discrimination, surveillance discounting, and signed-in versus anonymous shopping to Surveillance Pricing, AI Consumer Decision Shaping, and Platform Data Regulation, showing that algorithmic retail prices can become hard to audit even when a retailer offers plausible non-personalized explanations.

The January 21, 2026 episode adds an AI media-trust and democratic-institution layer through Megan McCarty-Carino and Aviv Ovadia of the AI and Democracy Foundation. It connects AI-generated misinformation, scams, propaganda, nonconsensual imagery, verification burden, Content Credentials, and platform adoption to Information Apocalypse, Reality Apathy, AI Reality Verification Tax, AI Information Pollution, and AI Content Provenance.

The January 22, 2026 episode adds a concrete AI-hoax reporting layer through Megan McCarty-Carino and Casey Newton of Platformer. It connects a viral Reddit claim, a suspect Uber Eats badge, an 18-page document, and Gemini’s SynthID detection to AI-Generated Hoax Evidence, AI Reality Verification Tax, AI Content Provenance, and Outrage-Triggered Skepticism.

The January 23, 2026 Bytes episode adds a weekly public-legitimacy layer through Megan McCarty-Corino and Paresh Dave of Wired. It connects possible SpaceX, OpenAI, and Anthropic IPOs to AI IPO Valuation and Public Company Transition, Micron’s planned Clay mega fab to Enforceable Community Benefits, and YouTube’s 2026 AI slop goal to AI Slop Detection.

The January 26, 2026 episode adds an AWS networking-hardware layer through Megan McCarty-Corino and Satish Vangala. It connects AWS fiber scale, dense connector deployment, and optical transponders to AI Cluster Networking, showing that AI infrastructure can bottleneck on data movement inside clusters as well as on chips, power, memory, and data-center sites.

The January 27, 2026 episode adds a physical internet-infrastructure layer through Equinix, Eddie Espinosa, AltaVista, and PAIX. It connects a 1929 Pacific Telephone and Telegraph building to Colocation Data Center, Neutral Internet Exchange, cloud services, and AI traffic, showing that the virtual world still depends on rooms, cages, racks, fiber, and neutral interconnection points.

The January 28, 2026 episode adds a post-bust infrastructure layer through Paul Vixie. It connects dot-com-era fiber construction, telecom bankruptcies, Dark Fiber, and a Federal Communications Commission unused-capacity estimate to Productive Bubble Spillovers and Technology Installation Cycle, making the AI data-center boom look less like a purely new story and more like another test of whether overbuilt capacity later becomes useful.

The January 29, 2026 episode adds a battery-storage layer through Redwood Materials and Colin Campbell. It connects reused EV batteries, a 60 MWh / 12 MW Nevada project, and Nvidia investment to Second-Life EV Battery Storage, Data Center Power Bottleneck, and AI Energy Bottleneck, showing that AI infrastructure demand can pull battery recycling companies into data-center power.

The January 30, 2026 Bytes episode adds an AI-bubble scoring layer through David Kirsch of the University of Maryland. It connects Bubbles and Crashes, Tech Bubble Conditions, AGI Narrative, AI Equity Valuation Risk, and Technology Installation Cycle, showing that AI can be technologically real while still displaying bubble-like uncertainty, narrative intensity, novice-investor exposure, and infrastructure timing risk.

The July 16, 2026 episode adds a social-media litigation and AI-companion risk layer through Meg McCarty-Corino and Gaia Bernstein of Seton Hall University. It connects Meta, Facebook, Instagram, COPPA, State AG Platform Litigation, Platform Damages And Disgorgement, Big Tobacco Platform Analogy, and Social Media Causation Science Wars to the question of whether social media is entering a Big Tobacco-style public-health litigation phase, then extends the same attention-economy concern into AI Companion Attention Risk.

The July 17, 2026 Bytes episode adds a physical-world AI governance layer through Megan McCarty-Carino and Paresh Dave of Wired. It connects Apple’s lawsuit against OpenAI to AI Hardware Trade Secret Dispute and AI Plus Terminals, New York’s one-year hyperscale data-center pause to Hyperscale Data Center Moratorium and Data Center Backlash, and Uber’s D.C. robotaxi lobbying to Robotaxi Hybrid Deployment, Robotaxi Economics, and Autonomous Vehicle Safety Benchmark.

The July 15, 2026 episode adds a streaming-retention layer through Brandon Katz of Greenlight Analytics. It connects Netflix’s reported second-season drop-offs, Bloomberg internal-data reporting, the Binge Release Model, long production gaps, and cancellation economics to Streaming Audience Retention, showing that getting viewers to start a series is easier than getting them to remember, finish, and return.

The April 1, 2026 episode adds a post-verdict social-media liability layer through Eric Goldman of Santa Clara University’s High Tech Law Institute. It connects the Los Angeles verdict involving Meta and YouTube and the New Mexico verdict against Meta to Bellwether Platform Trials, Section 230 Design Workaround, and Platform First Amendment Defense, showing that jury acceptance of platform responsibility may still be narrowed or undone on appeal.

The April 2, 2026 episode adds a wartime internet-control layer through Megan McCarty-Carino and Amir Rashidi of Mian Group. It connects Iran’s blackout, the National Information Network, Mahsa Alert, Domestic Network Sovereignty, Domestic Service Censorship, and Internet Blackout Public-Safety Risk, showing that a state can keep approved domestic services online while cutting global news, social media, alerting, and some emergency-service functions.

The April 3, 2026 Bytes episode adds a three-part tech-state-power layer through Stephanie Hughes and Paresh Dave of Wired. It connects SpaceX’s reported confidential IPO filing to AI IPO Valuation and Space Based AI Infrastructure, Iran-linked threats against U.S. tech facilities to Dual-Use Tech Infrastructure Targeting and Digital Infrastructure War Risk, and California’s AI executive order to State AI Procurement Guardrails.

The April 6, 2026 episode adds a youth social-media speech and privacy layer through Aaron Mackey of the Electronic Frontier Foundation. It connects California AB 1709, an under-16 social-media ban modeled on an Australia policy, to Youth Online Speech Rights, Social Media Age-Gate Speech Burden, and Comprehensive Consumer Data Privacy, showing why EFF prefers privacy regulation over broad age-based access bans.

The April 7, 2026 episode adds an EV affordability and battery-cost layer through Stephanie Valdez Streaty of Cox Automotive, Colin McCarrick of BloombergNEF, and CJ Finn of PwC. It connects Electric Vehicle Price Parity, Lithium Iron Phosphate Batteries, Power Battery Industry Chain, and Economic Climate Tech Adoption by showing that U.S. EV adoption may accelerate only when cheaper batteries and supply-chain learning lower the sticker-price premium.

The March 31, 2026 episode adds a workplace AI fatigue layer through Stephanie Hughes and Matt Krop of BCG. It connects AI Brain Fry, AI Managing AI, Agentic Workflow, AI Use Pacing, AI Workflow Triage, and Business-Led AI Transformation by showing that AI can improve morale when it removes toil but can exhaust workers when it makes them constantly supervise fast parallel outputs.

The March 30, 2026 episode adds a baseball officiating-technology layer through Stephanie Hughes and Nola Agha of the University of San Francisco. It connects Major League Baseball’s ABS, Hawkeye tracking, Baseball Strike-Zone Automation, and Sports Officiating Automation to the question of how leagues use measurement to increase fairness while keeping human officials, challenge rules, and fan tradition in the workflow.

The March 27, 2026 Bytes episode adds a tech-policy accountability layer through Stephanie Hughes and Maria Curi of Axios. It connects a negligence verdict against Meta and YouTube to Social Media Product Liability, the U.S. Department of Labor text-message course to AI Worker Literacy, and Kalshi guardrails to Prediction Market Self-Regulation, showing how courts, agencies, and platforms all answer public-trust failures with different tools.

The March 26, 2026 episode adds a civil-infrastructure monitoring layer through Stephanie Hughes and Jim Harkness of the Maryland Transportation Authority. It connects the Francis Scott Key Bridge rebuild after the Dali Container Ship strike to Structural Health Monitoring, Sensor-Driven Infrastructure Maintenance, Bridge Load Capacity, and Port of Baltimore freight needs, showing that smarter public infrastructure depends on sensors, inspection access, load policy, and engineering interpretation.

The March 25, 2026 episode returns to digital archiving through Stephanie Hughes and Linda Todich of Digital Bedrock. It connects Cloud Storage Physicality, Preservation Technical Environment, WIPR, and the American Archive of Public Broadcasting to Digital Preservation by showing that long-term access depends on physical storage media, old backup software, operating systems, documentation, and migration rather than a one-time upload or tape copy.

The March 24, 2026 episode adds a prediction-market integrity layer through Stephanie Hughes, Jontay Porter, Matthew Holt, Ben Schifrin of Better Markets, and John Holden of Indiana University. It connects Sportsbook Integrity Monitoring around the Porter NBA betting scandal to Prediction Market Integrity Oversight, Event Contract Manipulation Risk, CFTC rulemaking, and Polymarket classified-information allegations, showing that event markets need operational controls as well as ethical boundaries.

The March 23, 2026 episode adds an AI education and homework layer through Stephanie Hughes and Heather Schwartz of RAND. It connects student AI use, critical-thinking concern, classroom AI-free time, and ChatGPT homework examples to First Draft Thinking, AI Shortcut Risk, AI As Tutor, Self-Directed Learning, and Learning How To Learn by showing that the key education question is often when AI enters the work, not whether it is present at all.

The March 20, 2026 Bytes episode adds a speed-and-risk synthesis through Stephanie Hughes and Anita Ramaswamy of The Information. It connects Gecko Robotics’ U.S. Navy contract to Defense Robotics Maintenance and Defense Tech Startup Procurement, BuzzFeed’s going-concern warning and QuizParty to Media AI Rescue Strategy and AI Slop, and Amazon’s one-hour delivery expansion to Ultra-Fast Delivery Economics, Instant Retail, and AI Consumer Decision Shaping.

The March 19, 2026 episode adds a low-cost drone warfare layer through Stephanie Hughes and Stacey Pettijohn of the Center for a New American Security. It connects Iranian Shahed 136-style drones, Russia’s armed drones and decoys, and the U.S. Lucas Drone to Low-Cost Drone Warfare, Commercial Off-The-Shelf Weaponization, Drone Defense Economics, Counter-Drone Layered Defense, and Drone Decoy Economics by showing that cheap, good-enough, commercially sourced systems can force expensive defensive choices.

The March 18, 2026 episode adds a post-mortem AI ethics layer through Stephanie Hughes and Tomas Holoneck of the University of Cambridge. It connects AI Grief Bots, Post-Mortem AI Consent, and Digital Memorialization to Digital Preservation and Human Connection Under AI by showing that preserving a person’s data as an interactive avatar can support family memory or survivor testimony while also raising consent, privacy, dignity, access, and grief-exploitation risks.

The March 17, 2026 episode adds a workplace-AI monitoring layer through Stephanie Hughes and Josh Bersin. It connects Recorded Meeting Analysis, Galileo, and Workplace Digital Twins to AI Workforce Monitoring and Workplace AI Transparency by showing how meeting recordings, email summaries, shared documents, and style imitation can help coworkers find information while also creating employee-surveillance risk.

The March 16, 2026 episode adds a crypto consumer-confidence layer through Stephanie Hughes and Dave Reibstein of the Wharton School. It connects the Consumer Cryptocurrency Confidence Index to Bitcoin, Cryptocurrency Market Structure, regional and age-based optimism, and the distinction between crypto as investment exposure and crypto as everyday payment.

The March 13, 2026 Bytes episode adds an AI operations and media-platform layer through Stephanie Hughes and Jewel Burke Solomon of Collab Capital. It connects Amazon outage reporting and AI Coding Guardrails, YouTube revenue scale and YouTube Media Dominance, and Meta’s acquisition of MoteBook with AI Talent Competition, showing that AI now affects software reliability, creator-platform economics, and acquisition strategy in the same weekly-news frame.

The March 12, 2026 episode adds a Bitcoin safe-haven and crisis-liquidity layer through Stephanie Hughes and Gil Luria of D.A. Davidson. It connects Bitcoin, Digital Gold, Bitcoin Safe-Haven Behavior, and Cross-Border Crypto Capital Flight by showing that Bitcoin may fall short as immediate gold-like protection in geopolitical shocks while still remaining relevant for inflation concerns, dollar weakness, global liquidity, and wealth movement out of unstable or restricted markets.

The March 11, 2026 episode adds an AI journalism and local-news workflow layer through Stephanie Hughes and Willa Remus of the Washington Post. It connects the Plain Dealer, Chris Quinn, the Advanced Local Express Desk, Newsroom AI Adoption, AI Rewrite Desk, and AI-Written Journalism to the question of whether AI can expand Local Journalism without eroding AI Journalism Trust, staff craft, or reader confidence.

The March 10, 2026 episode adds a youth entrepreneurship and digital commerce education layer through Stephanie Hughes and Wendy Liu of Girl Scouts of the USA. It connects online cookie sites, QR codes, email, social sharing, text outreach, checkout, and local delivery to Youth Entrepreneurship, Digital Commerce Literacy, and Child Online Commerce Safety, showing how a legacy fundraiser can digitize while preserving caregiver supervision, seasonal scarcity, and purchase paths tied to individual Scouts or troops.

The March 9, 2026 episode adds a consumer-privacy and data-broker deletion layer through Stephanie Hughes and Nicole Turner-Lee of the Brookings Institution. It connects California, the California Delete Act, and the DROP tool to Consumer Data Deletion, Data Broker Loophole, Platform Data Regulation, and AI-Enabled Spam by showing that a state opt-out portal can reduce broker-held personal data while still leaving broader surveillance, cookies, government systems, and AI-enabled outreach unresolved.

The March 6, 2026 Bytes episode adds a platform-legitimacy layer through Stephanie Hughes and Paresh Dave of Wired. It connects Prediction Market Ethics around Kalshi and Polymarket, Defense AI Supply Chain Risk around Anthropic and Claude, and AI Content Licensing around Meta and News Corp, showing how high-growth information platforms run into regulators, defense procurement rules, and publisher bargaining power.

The March 5, 2026 episode adds an Iran-linked cybersecurity layer through Stephanie Hughes and Rafe Pilling of Sophos. It connects Iran-Linked Cyber Operations, Banking DDoS Resilience, Cyber Data Theft and Leak Operations, and Industrial Control System Cyber Risk by using the 2011-2013 DDoS attacks on U.S. banks as a historical case, then contrasting bank preparedness with higher-consequence exposure in health care, sensitive-data organizations, and industrial-control environments.

The March 4, 2026 episode adds an AI-search marketing layer through Stephanie Hughes and Erin Griffith of the New York Times. It connects Answer Engine Optimization, Generative Engine Optimization, AI Discovery SEO, and AI Search Advertising by showing how brands are trying to become legible to chatbots through dense factual public information while managing Reddit posts, reviews, AI-generated marketing fluff, and paid-placement trust risk.

The March 3, 2026 episode adds a memory-shortage and archive-preservation layer through Linda Todich, Digital Bedrock, IDC, and Western Digital. It connects Memory Chip Shortage and AI Hardware Supply Chain Pressure to Digital Preservation and Personal Digital Archiving by showing how AI data-center demand can affect hard-drive supply, professional archives, cloud dependence, and household preservation practices.

The March 2, 2026 episode adds a privacy-law and surveillance-infrastructure layer through Jeremy Scott, the Electronic Privacy Information Center, U.S. Department of Homeland Security, U.S. Immigration and Customs Enforcement, Flock Safety, Ron Wyden, and Montana. It connects Surveillance as a Service, Government Data Broker Access, Data Broker Loophole, Administrative Subpoena Data Access, Third-Party Doctrine, and Fourth Amendment Digital Privacy by showing how private-sector data systems can become government-accessible surveillance infrastructure.

The February 27, 2026 Bytes episode adds a defense-AI, enterprise-agent, and manufacturing-policy layer through Anthropic, Claude, US Department of Defense, OpenAI Frontier, Apple, and Mac Mini. It connects Defense AI Procurement and Frontier Model Use Policy Conflict to Pentagon pressure for broader model access, then ties AI Coworkers and Business-Led AI Transformation to OpenAI’s consulting-led enterprise push, and finally treats Tech Manufacturing Reshoring as symbolic but constrained by skilled labor and overseas supply chains.

The February 26, 2026 episode adds a physical-media and preservation layer through Vidiots, Robbie McCluskey, LunchMeet VHS, Josh Schaeffer, and Consumer Reports. It connects Physical Video Media Revival to Subscription Fatigue, Video Store Culture, Analog Media Preservation, and Game Preservation by showing that DVDs, Blu-rays, and VHS can return as tools for rare-title access, collecting, social browsing, and resistance to fragmented streaming catalogs.

Marketplace Tech is the show context for Why digital archiving is more than "store and ignore", Bytes: Week in Review - Prediction markets reel amid Iran conflict, defense contractors to drop Anthropic, and Meta’s AI deal with News Corp, Iran’s cyberwar on American banks, Digital archiving and the global memory shortage, How government uses "surveillance as a service" to collect data, Physical media’s comeback, AI Meets the Search for a BA, Here’s how to prep for a job interview with AI, AI makes it easier to code websites — including ones that scam consumers, Bytes: Week in Review - Google to make links more prominent, Palantir moves to Florida and Ring reportedly had plans to use Search Party for more than finding lost dogs, Can software companies survive the AI boom?, Fewer students are enrolling in computer science classes and majors, High-tech data centers get a powerful assist from a century-old company, Bytes: Week in Review - Alphabet takes on debt to pay for AI projects, the social network where humans aren’t allowed, and Spotify reports record user growth, Crypto’s big growth on the books and in the shadows, Is the moon (and its resources) up for grabs?, TPU? GPU? What’s the difference between these two chips used for AI?, New study reveals a "smartphone penalty" that distorts survey results, Bytes: Week in Review - SpaceX and xAI merge, Nvidia and OpenAI’s funding relationship and U.S. TikTok’s rough start, Dr. AI will see you now, Bytes: Week in Review - Micron’’s big earnings, Oracle’’s data center woes and “slop” is Merriam-Webster’’s word of the year, The challenges of integrating ads in AI search engines, Tech sector job postings on Indeed (mostly) stabilized this year, How states are competing in the data center gold rush, A case for AI models that understand, not just predict, the way the world works, Bytes: Week in Review - Apple’s leadership departures raises concerns over its AI future, Using AI chatbots for mental health support poses serious risks for teens, report finds, 3D printing was supposed to disrupt prosthetic costs. It hasn’t., The latest TV innovations have their critics, and The little-known regulatory bodies that can make or break AI data centers. Across these sources, the show connects consumer technology narratives to privacy law, data brokers, surveillance infrastructure, digital archives, cloud storage physicality, storage shortages, physical video media, streaming fatigue, AI college search, AI interviewing, AI search attribution, publisher traffic, headquarters geography, consumer surveillance, education demand, crypto crime, lunar governance, patient-facing AI use, AI labor markets, AI model architecture, AI advertising, semiconductors, onsite data-center power, data-center finance, public-safety, healthcare, access, everyday perception, infrastructure-policy constraints, state tax policy, media markets, synthetic-media trust, agent social platforms, and consumer personalization rather than treating technology adoption as an isolated product story.

The February 25, 2026 episode adds a higher-education search layer through EAB, Jennifer Jesse, Michael Coppenheifer, Nick Swisher, and Indiana Wesleyan University. It connects AI College Search to Higher Education AI Discoverability, AI Discovery SEO, Generative Engine Optimization, and AI Ranking Reinforcement by showing that students use AI for school lists, campus vibe, acceptances, scholarships, and hidden-gem discovery while colleges try to keep AI descriptions accurate and current.

The February 24, 2026 episode adds a hiring-automation layer through Stephanie Hughes, Ray Smith, and the Wall Street Journal. It connects AI Interviewing to Objective Hiring Assessment, AI Hiring Arms Race, AI Governance And Compliance, and Human Judgment Under AI by showing that AI can now mediate the interview itself: candidates answer recorded questions, systems generate assessments, and employers have to decide how much authority remains with human hiring managers.

The February 23, 2026 episode adds an AI-enabled consumer-fraud layer through Megan McCarty-Corino, Davines, Netcraft, Coalfire, Silent Push, and Lana Swartz. It connects AI-Assisted Website Scams, Fake Retail Website Impersonation, Search Ad Trust Gap, and Brand Impersonation Monitoring to the broader AI-Enabled Scam Industrialization thread by showing that AI can lower the cost of building official-looking retail sites and buying search visibility.

The February 20, 2026 Bytes episode adds another weekly-news synthesis through Stephanie Hughes and Anita Ramaswamy. It links Google AI Overviews to AI Answer Source Attribution, Open Web Traffic Decline, publisher economics, and European Commission scrutiny; connects Palantir’s headquarters move to Miami with South Florida Tech Migration; and uses Ring Search Party to frame Consumer Camera Surveillance around AI-enabled camera networks and law-enforcement relationships.

The February 19, 2026 episode adds a Meta strategy layer through Stephanie Hughes and Mike Isaac. It connects Meta’s large AI capex, AI Advertising Targeting, Meta AI, Personal Superintelligence, Ray-Ban smart glasses, and Reality Labs to the gap between near-term ad payoff and the harder problem of creating a consumer assistant that can compete with ChatGPT.

The February 18, 2026 episode adds an enterprise-software and SaaS-pricing layer through Stephanie Hughes and Daniel Newman. It connects AI Native SaaS Threat, Vibe Coding, AI Assisted Software Development Risk, SaaS Trust Moat, AI Governance And Compliance, Digital Employees, and Outcome-Based AI Pricing by separating AI-generated prototypes from governed enterprise systems that depend on databases, APIs, proprietary data, compliance, security, and systems-of-record trust.

The February 17, 2026 episode adds an education-and-workforce layer through Stephanie Hughes and Carrie George. It connects Computing Enrollment Decline, Computing Research Pipeline, College Major Choice, Tech Hiring Stabilization, Software Developer Hiring Pullback, AI Labor Market Concentration, and Data Engineering Demand by showing that students are shifting away from traditional computer science and software engineering while AI, data science, cybersecurity, and computer engineering remain more attractive.

The February 16, 2026 episode adds an onsite-power layer through Caterpillar, Dan Ackerman, and David Victor. It connects Data Center Onsite Power to AI Energy Bottleneck, AI Compute Continuity, MaaS Infrastructure, and Data Center Physical Resilience by showing that natural gas generators can become primary power for data centers when grid interconnection queues are too slow.

The February 13, 2026 Bytes episode adds another weekly-news synthesis through Stephanie Hughes and Jewel Burke Solomon. It links Alphabet’s long-term borrowing to AI Infrastructure Debt Financing, Data Center Debt Risk, and AI Equity Valuation Risk, treats MoteBook as an early AI Social Networks and security case, and uses Spotify Wrapped to show how Personalization As Social Identity and AI Prompted Playlist Curation can support consumer-platform growth.

The crypto-crime episode adds a financial-crime and consumer-fraud layer through Ari Redbord and TRM Labs. It connects Stablecoins, Stablecoin Sanctions Evasion, A7A5, Virtual Asset AML Risk, Pig Butchering Scam, Work-From-Home Scam, and AI-Enabled Scam Industrialization to the tension between lawful crypto adoption and the same infrastructure being exploited by sanctioned actors and scam networks.

The Moon-resource episode adds a space-law and infrastructure-governance layer through Sadia Pekkanen. It connects NASA, Artemis 2, Artemis Accords, Moon, Lunar Resource Governance, Space Resource Extraction, Lunar Nuclear Power, and Helium-3 to the question of how countries can operate and use resources beyond Earth without claiming territory.

The smartphone survey episode adds a measurement-methodology layer through Carly Urban. It connects Smartphone Survey Penalty, Survey Mode Effects, and Financial Literacy Measurement to the device shift inside National Financial Capability Study data, then extends the theme into future AI-Assisted Survey Response risk as chatbots make knowledge surveys harder to interpret.

The TPU/GPU episode adds an AI-chip competition layer through Christopher Miller. It connects GPU, TPU, AI Chip Specialization, and Neural Processing Units to Nvidia’s software ecosystem, Google’s custom-chip strategy, reported Anthropic, OpenAI, and Meta TPU deals, and the broader question of when specialized chips become economically viable.

The Dr. AI episode adds a patient-facing healthcare layer through Hassan Benchikran. It connects Patient AI Use and Doctor-Guided AI Interpretation to trust, clinical context, ambient scribe workflows, AI-assisted research digests, and the boundary that AI can organize medical information without taking over diagnosis, treatment, or final responsibility.

The December 23, 2025 episode adds a tech-politics realignment layer through Suyash Pasi of the Human Rights Research Center. It connects technology leaders’ Trump-era accommodation to Federal AI Preemption, Tech-Government Accommodation, H-1B Visa Coalition Fault Line, and Dual-Use Defense Technology, showing that AI deregulation, crypto, immigration, and defense procurement can all shape how technology companies relate to the White House.

The Micron/Oracle/slop Bytes episode adds a market-signal layer through Anita Ramaswamy and The Information. It connects Micron Technology, High Bandwidth Memory, and AI Hardware Supply Chain Pressure to the hidden component side of AI growth, then connects Oracle, Blue Owl Capital, Data Center Debt Risk, Data Center Backlash, and Data Center Cost Shifting to the finance and local-politics side of data-center expansion. Its final segment uses Merriam-Webster and AI Slop to show how AI-generated content quality has become a mainstream consumer-language issue.

The tech-hiring episode adds a labor-market layer through Corey Staley and Indeed. It connects Tech Hiring Stabilization, Tech Job Posting Index, AI Labor Market Concentration, Software Developer Hiring Pullback, Data Engineering Demand, and Low-Fire Labor Market to the gap between AI-specific demand and weak broad tech postings.

The AI-search advertising episode adds a marketing-platform layer through Garrett Johnson and Boston University. It connects AI Search Advertising, Generative Engine Optimization, Search Advertising Decline, and Agentic Commerce to the challenge of monetizing answer engines without breaking user trust.

The data-center tax incentive episode adds a state public-finance layer through Nicholas Miller and the National Conference of State Legislatures. It connects Data Center Tax Incentives to AI capital spending, construction inputs, electricity exemptions, job thresholds, property-tax bases, and energy-policy reassessment.

The world-model episode adds a technical explainer through Gary Marcus. It uses World Models, LLM World Model Gap, robotics, video games, scene graphs, Video Models, and causation-versus-correlation to show why AI progress may need explicit entity, state, action, and causal representations rather than only larger language models.

The Bytes episode adds a weekly-news synthesis through Joanna Stern. It links Apple leadership departures and AI Talent Competition to the unresolved search for AI Plus Terminals, then connects Streaming Consolidation and Subscription Fatigue to consumer streaming friction, and AI-Generated Advertising to Creative Labor AI Backlash after McDonald’s Netherlands pulled an AI-generated Christmas ad.

The first episode turns a Stanford University and Common Sense Media report into a practical public-safety discussion about Teen Chatbot Mental Health Risk, using Daria Georgievich’s testing examples to show why Chatbot Safety Guardrail Decay matters when AI companionship becomes an emotional support channel.

The later prosthetics episode uses Britt Young’s experience and reporting to challenge a simple hardware-disruption story. It connects 3D-Printed Prosthetics to Prosthetic Insurance Coverage, Assistive Device Classification, and Prosthetic Fitting Constraint, showing why lower-cost fabrication does not automatically produce affordable care.

The TV episode shifts the same practical lens into consumer displays. Through Rahul Banerjee, Vikrant Lal, Samuel Bretton, and Mahesh Balakrishnan, it turns a “newer TV should be better” assumption into TV Motion Stutter, Motion Smoothing, Soap Opera Effect, Selective Motion Smoothing, and Plasma TV Preference.

The data-center episode moves the show into AI infrastructure policy. Through Scott Brennan and the NYU Center on Technology Policy, it argues that Public Utility Commissions can become key gatekeepers for AI data centers because power connections, grid upgrades, rate design, and Data Center Cost Shifting shape who pays for the AI Energy Bottleneck.

The February 6, 2026 Bytes episode adds another weekly-news synthesis through Stephanie Hughes and Paresh Dave. It links SpaceX’s xAI acquisition to Space Based AI Infrastructure and AI IPO Valuation, uses Nvidia and OpenAI to show Strategic AI Infrastructure Dependence, and turns U.S. TikTok into a Platform Ownership Transition case where ownership, Oracle infrastructure, outages, and terms of service all matter.

The February 5, 2026 episode adds a pre-verdict social-media liability layer through Eric Goldman. It connects a Los Angeles trial against Meta and YouTube to Platform Legal Causation, Section 230, and Internet Liability Spillover, showing that addiction claims could affect product design, online communication, and adjacent internet services even before later verdicts or state-AG damages frames.

The February 2, 2026 episode adds a practical consumer-AI layer through Megan McCarty-Carino and Christopher Mims. It connects How to AI to AI Assistant Augmentation, Expertise-Amplified AI Use, AI Hallucination, Mundane AI Use Cases, Voice Interaction, and Ambient AI Interface, showing that “AI without hype” often means giving an assistant narrow, inspectable tasks while keeping human expertise and judgment in the loop.

The February 3, 2026 episode extends that Mims thread from individual use into work. It connects Clorox, Hidden Valley Ranch, Microsoft Copilot, AI-Generated Advertising, AI Workflow Triage, Business-Led AI Transformation, AI Economic Diffusion, and Invisible Classical AI by showing that workplace AI gains depend on redesigned repeatable tasks and change management, while many older AI systems already shape everyday decisions invisibly.

The February 4, 2026 episode adds a consumer AI fitness layer through Nicole Nguyen’s testing of Apple Workout Buddy, Fitbit AI Health Coach, and Peloton. It connects AI Fitness Coaching, Computer Vision Form Correction, AI Nutrition Tracking, and AI Fitness Accountability Gap by showing that AI can personalize workouts and reduce logging friction while still struggling with hallucinations, rep-counting errors, cost, and follow-through.

The January 2, 2026 episode adds a digital well-being and attention-market layer through Maria Hollenhorst, Clearspace, Tanya Sujohn, and Ben Goldhersh. It connects Digital Detox Economy and Screen Time Friction to the practical paradox of paying for prompts, app-blocking objects, lockboxes, and a heavy phone case to make phone use less automatic.

The January 1, 2026 episode adds a homebuilding operations case through CBH Homes and Rhonda Conger. It connects Homebuilding AI Operations, Business-Led AI Transformation, AI Workflow Triage, and Customer Support Automation by showing how a homebuilder uses AI for sales follow-up, warranty questions, after-hours support, and company data analysis while keeping job-replacement claims source-scoped.

Connections