Pandemics: Early Detection, Networks, Spreaders
a16z Podcast23 Mai 2020

Pandemics: Early Detection, Networks, Spreaders

Pandemics are predictable; what's not predictable is the intensity, or the precise timing of arrival. That's where early detection -- not just rapid warning (as with something like Google Flu Trends back in the day), or even delayed warnings (as with CDC flu trackers and such) -- comes in. Because unfortunately, many disease tracking efforts old and new are "like watching the weather forecast a week after you've experienced that weather", observes a16z general partner Jorge Conde.

And this matters for saving lives; for load balancing and allocating resources (ventilators, PPE, supplies); getting back to work; and much more. Even a two-week advantage could have made a huge difference! Which is what sociologist and physician Nicholas Christakis (who directs the Human Nature Lab, part of the Yale Institute for Network Science, and also author of the book Blueprint) learned from the H1N1 pandemic. Specifically, the role of social network "sensors" -- where friends in one's network graph can be like canaries in the proverbial coal mine to help detect pandemics earlier.

In fact, the lab recently released an app called Hunala (which uses information crowdsourced among networks) to determine one's likelihood of contracting flu/ influenza-like or other respiratory illnesses through a personalized daily assessment of risk. Kind of like Waze, but for illnesses not car accidents. So in this episode of the a16z Podcast, the two take that analogy far. They also discuss the role of other mobility data and population flows in China for where and when the pandemic spread; the nuances behind "superspreaders"; how bad is the coronavirus, really; and the near future of "bio-surveillance" -- not just from a personal risk perspective, but from a global public-health perspective... Can we get the holy grail here without sacrificing privacy and agency?

Episoder(906)

The Top 100 Most Used AI Apps in 2025

The Top 100 Most Used AI Apps in 2025

What are real consumers actually doing with AI today?In this episode, a16z consumer investors Olivia Moore and Justine Moore break down the fifth edition of our Consumer AI 100, a biannual ranking of the most used AI-native web and mobile products across the globe. Timecodes:  0:00 Introduction1:45 New Companies & Trends3:32 Companionship & Creative Tools4:20 Big Tech on the List: Google’s Impact6:24 Chinese AI Companies & Global Trends10:19 Vibecoding: A New Trend13:40 AI All-Stars: Consistent Top Performers15:30 Network Effects & Product Experience17:20 Enterprise Adoption & Prosumer Growth19:40 Biggest Takeaways21:09 Grok's debut22:56 Future predictions25:14 Closing & Audience Engagement Resources:Read more about the Top Gen 100: http://a16z.com/100-gen-ai-apps-5/Find Olivia on X: https://x.com/omooretweetsFind Justine on X: https://x.com/venturetwins Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

27 Aug 25min

Aaron Levie and Steven Sinofsky on the AI-Worker Future

Aaron Levie and Steven Sinofsky on the AI-Worker Future

What exactly is an AI agent, and how will agents change the way we work?In this episode, a16z general partners Erik Torenberg and Martin Casado sit down with Aaron Levie (CEO, Box) and Steven Sinofsky (a16z board partner; former Microsoft exec) to unpack one of the hottest debates in AI right now.They cover:Competing definitions of an “agent,” from background tasks to autonomous internsWhy today’s agents look less like a single AGI and more like networks of specialized sub-agentsThe technical challenges of long-running, self-improving systemsHow agent-driven workflows could reshape coding, productivity, and enterprise softwareWhat history — from the early PC era to the rise of the internet — tells us about platform shifts like this oneThe conversation moves from deep technical questions to big-picture implications for founders, enterprises, and the future of work. Timecodes: 0:00 Introduction: The Evolution of AI Agents0:36 Defining Agency and Autonomy1:54 Long-Running Agents and Feedback Loops4:49 Specialization and Task Division in AI6:20 Human-AI Collaboration and Productivity6:59 Anthropomorphizing AI and Economic Impact9:10 Predictions, Progress, and Platform Shifts11:31 Recursive Self-Improvement and Technical Challenges13:20 Hallucinations, Verification, and Expert Productivity16:20 The Role of Experts and Tool Adoption22:14 Changing Workflows: Agents Reshaping Work Patterns45:55 Division of Labor, Specialization, and New Roles48:47 Verticalization, Applied AI, and the Future of Agents54:44 Platform Competition and the Application Layer55:29 Closing Thoughts and Takeaways  Resources: Find Aaron on X: https://x.com/levieFind Martin on X: https://x.com/martin_casadoFind Steven on X: https://x.com/stevesi Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

25 Aug 55min

Ben Horowitz on How a16z Was Built

Ben Horowitz on How a16z Was Built

Erik Torenberg sits down with Ben Horowitz, Cofounder of a16z, for a candid conversation on venture capital, leadership, and the future of innovation. Recorded live at a16z’s Menlo Park offices in 2023, Ben shares practical wisdom and hard-earned lessons on navigating market cycles, building resilient companies, and why culture is a lasting competitive edge.Timecodes: 0:00 Introduction 0:49 Building a Lasting Venture Firm1:57 Product vs. Investor-Driven Firms5:17 Evolution of Andreessen Horowitz8:43 Fund Sizing & Market Opportunity11:38 Recruiting & Culture at a16z13:58 Supporting Founders & Firm Mission14:39 Governance & Firm Structure17:15 The Future of Venture Capital20:26 Riding Trends: AI, Web3, and Beyond27:06 Regulation, Open Source, and Innovation29:22 LPs, Macro, and Long-Term Strategy33:25 Advice for the Next Generation37:15 Tech Optimism & Societal Impact42:33 Closing Thoughts & Outro Resources: Find Ben on X:  https://x.com/bhorowitzSubscribe to Turpentine VC: link.chtbl.com/TurpentineVC Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

23 Aug 43min

AI and Accelerationism with Marc Andreessen

AI and Accelerationism with Marc Andreessen

Marc Andreessen, cofounder Andreessen Horowitz, joins the Hermitix podcast for a conversation on AI, accelerationism, energy, and the future.From the thermodynamic roots of effective accelerationism (E/acc) to the cultural cycles of optimism and fear around new technologies, Marc shares why AI is best understood as code, how nuclear debates mirror today’s AI concerns, and what these shifts mean for society and progress. Timecodes:0:00 Introduction 0:51 Podcast Overview & Guest Introduction1:45 Marc Andreessen’s Background3:30 Technology’s Role in Society4:44 The Hermitix Question: Influential Thinkers8:19 AI: Past, Present, and Future10:57 Superconductors and Technological Breakthroughs15:53 Optimism, Pessimism, and Stagnation in Technology22:54 Fear of Technology and Social Order29:49 Nuclear Power: Promise and Controversy34:53 AI Regulation and Societal Impact41:16 Effective Accelerationism Explained47:19 Thermodynamics, Life, and Human Progress53:07 Learned Helplessness and the Role of Elites1:01:08 The Future: 10–50 Years and Beyond Resources:Marc on X:   https://x.com/pmarcaMarc’s Substack: https://pmarca.substack.com/Become part of the Hermitix community:On X: https://x.com/HermitixpodcastSupport: http://patreon.com/hermitixFind James on X: https://x.com/meta_nomad Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

22 Aug 1h 9min

Can AI Fix Housing and Healthcare Affordability?

Can AI Fix Housing and Healthcare Affordability?

Housing and healthcare make up nearly half of household spending, yet both sectors are riddled with inefficiency and rising costs.In this episode, Erik Torenberg is joined by a16z Growth partner Alex Immerman and Minna Song and Tony Stoyanov, cofounders of EliseAI, to discuss why they’re tackling these critical industries and how AI can transform everything from leasing and maintenance to patient scheduling and compliance.The conversation covers:Why the U.S. is 5 million housing units short — and how technology can help unlock existing supplyHow automation can cut waste, reduce labor costs, and improve affordabilityWhat fully autonomous buildings might look like, and how that model could extend to healthcareThis is about the costs that touch every household, and the role AI might play in finally bringing them down.Timecodes: 0:00 Introduction 0:28 Why Housing and Healthcare?1:17 Technology’s Role in Housing3:39 Housing Affordability & Supply Challenges5:42 Regulatory and Capital Barriers8:30 Improving Efficiency in Real Estate13:05 Automation and the Future of Property Management18:28 The Human Role in an AI-Driven Industry20:35 Financial Engineering & Data Bottlenecks21:51 The Future of Housing: Robotics, Mobility, and Flexibility25:29 R&D and Technology Adoption in Real Estate27:09 Addressing Criticisms of PropTech29:24 Maintenance, Repairs, and AI Solutions31:44 Expanding from Housing to Healthcare32:38 Parallels Between Housing and Healthcare36:41 The Future of Healthcare Operations39:09 Lessons Learned & Ultimate Vision for EliseAI40:55 Closing ThoughtResources: Link to blog: https://a16z.com/announcement/investing-in-eliseai/Find Minna on LinkedIn: https://www.linkedin.com/in/minna-song/Find Tony on LinkedIn: linkedin.com/in/stoyan-tony-stoyanov-07690a53FInd Alex on X: https://x.com/aleximm Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

21 Aug 39min

Oren Cass & Noah Smith Debate the True Impact of Tariffs

Oren Cass & Noah Smith Debate the True Impact of Tariffs

Do tariffs help rebuild American manufacturing or hold it back? In this episode, American Compass founder and chief economist Oren Cass sits down with commentator and author Noah Smith and a16z General Partner Erik Torenberg for a lively debate on the future of U.S. industry. They discuss the case for tariff-driven re-industrialization versus free-market approaches, the role of allies in trade policy, and what the numbers really show about manufacturing jobs, investment, and output. Along the way, they challenge each other’s assumptions and explore what it would take to actually bring more production back to American soil. Timecodes:0:00 Introduction & Framing the Debate1:27 Oren Cass: Economic Philosophy & American Compass4:02 Manufacturing, Family, and Community5:00 Free Trade, Comparative Advantage, and Policy8:30 Tariffs: US vs. China and Historical Context9:30 Do Tariffs Help US Manufacturing?15:00 Data, Indicators, and Economic Predictions22:00 Theory, History, and the Role of Economics28:00 Trade Deficits, Scale, and Global Competition38:00 Negotiation, Game Theory, and Policy Tools46:00 Trade Deficits, Scale, and Global Competition1:03:23 Negotiating with Allies and the Limits of Tariff Threats Resources: Find Oren on X: https://https://x.com/oren_cassAmerican Compass: https://americancompass.org/Find Noah on X: https://x.com/noahpinionSubscribe to Noah’s Substack: https://www.noahpinion.blog/ Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

20 Aug 1h 12min

Dylan Patel: GPT-5, NVIDIA, Intel, Meta, Apple

Dylan Patel: GPT-5, NVIDIA, Intel, Meta, Apple

The AI hardware race is heating up, and NVIDIA is still far ahead. What will it take to close the gap?In this episode, Dylan Patel (Founder & CEO, SemiAnalysis) joins Erin Price-Wright (General Partner, a16z), Guido Appenzeller (Partner, a16z), and host Erik Torenberg to break down the state of AI chips, data centers, and infrastructure strategy.We discuss:Why simply copying NVIDIA won’t work, and what it takes to beat themHow custom silicon from Google, Amazon, and Meta could reshape the marketThe economics of AI model launches and the shift toward cost efficiencyInfrastructure bottlenecks: power, cooling, and the global supply chainThe rise of AI silicon startups and the challenges they faceExport controls, China’s AI ambitions, and geopolitics in the chip raceBig tech’s next moves: advice for leaders like Jensen Huang, Sundar Pichai, Mark Zuckerberg, and Elon MuskResources: Find Dylan on X: https://x.com/dylan522pFind Erin on X: https://x.com/espricewrightFind Guido on X: https://x.com/appenzLearn more about SemiAnalysis: https://semianalysis.com/dylan-patel/Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

18 Aug 1h 4min

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

Genie 3 can generate fully interactive, persistent worlds from just text, in real time.In this episode, Google DeepMind’s Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z, with host Erik Torenberg, to discuss how they built it, the breakthrough “special memory” feature, and the future of AI-powered gaming, robotics, and world models.They share:How Genie 3 generates interactive environments in real timeWhy its “special memory” feature is such a breakthroughThe evolution of generative models and emergent behaviorsInstruction following, text adherence, and model comparisonsPotential applications in gaming, robotics, simulation, and moreWhat’s next: Genie 4, Genie 5, and the future of world models This conversation offers a first-hand look at one of the most advanced world models ever created. Timecodes: 0:00 Introduction & The Magic of Genie 30:41 Real-Time World Generation Breakthroughs1:22 The Team’s Journey: From Genie 1 to Genie 35:03 Interactive Applications & Use Cases8:03 Special Memory and World Consistency12:29 Emergent Behaviors and Model Surprises18:37 Instruction Following and Text Adherence19:53 Comparing Genie 3 and Other Models21:25 The Future of World Models & Modality Convergence27:35 Downstream Applications and Open Questions31:42 Robotics, Simulation, and Real-World Impact39:33 Closing Thoughts & Philosophical Reflections Resources:Find Shlomi on X: https://x.com/shlomifruchterFind Jack on X: https://x.com/jparkerholderFind Anjney on X: https://x.com/anjneymidhaFind Justine on X: https://x.com/venturetwinsFind Marco on X: https://x.com/Mascobot Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

16 Aug 41min

Populært innen Business og økonomi

stopp-verden
dine-penger-pengeradet
e24-podden
rss-penger-polser-og-politikk
rss-borsmorgen-okonominyhetene
finansredaksjonen
livet-pa-veien-med-jan-erik-larssen
utbytte
pengesnakk
tid-er-penger-en-podcast-med-peter-warren
pengepodden-2
morgenkaffen-med-finansavisen
rss-sunn-okonomi
aksjesladder
lederpodden
nordnet-norge
okonomiamatorene
stormkast-med-valebrokk-stordalen
shifter
stinn-av-gryn