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a16z Podcast | What Technology Wants, Needs, Does
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Turnabout is fair play: That's true in politics, and it's true at Andreessen Horowitz given our internal (and very opinionated!) culture of debate -- where we often agree to disagree, or more often, disagree to agree. So in this special "turnabout" episode of the a16z Podcast, co-founder Marc Andreessen (who is most often in the hot seat being interviewed), got the chance to instead grill fellow partners Frank Chen (who covers AI and much more), Vijay Pande (who covers healthcare for the bio fund), and Alex Rampell (who covers all things fintech). None of the partners had any idea what Marc would ask them. Putting them in the hot seat at our recent a16z Tech Policy Summit, in Washington, D.C., Marc asked them policy questions such as the implications for tech of the American Health Care Act or AHCA (which itself was being hotly debated that exact same day, just a few miles away); the role of regulatory arbitrage; and what happens to companies big and small if Dodd-Frank is repealed. Oh, but they also covered so much more: the pros and cons of using tech to "discriminate" for better risk pooling; the role of genetics in addiction (can/should it be used to determine risk?); the opioid crisis (can tech help?); applying AI as a "salve" for everything (what's hyped, what's real, what's easy, what's hard?); the line between redlining and predatory lending (and where/when did sentiment flip?); and the ethics of artificial intelligence (beyond the ole Trolley Problem). Throw in a classic nature vs. nurture debate, a bit of 2-D vs. 3-D, and some fries (yes)... and the future arrives in this episode in 35 minutes or less.
Segments Timeline
Welcome to the Turnabout Episode
In this special episode of the a16z Podcast, Marc Andreessen flips the script by interviewing his fellow partners Frank Chen, Vijay Pande, and Alex Rampell. They discuss the implications of the American Health Care Act (AHCA) and the Dodd-Frank Act, along with various tech and policy topics that impact healthcare and fintech innovation.
"hi everyone welcome to the a 16z podcast today we have a special turnabout is fair play episode with Marc Andreessen who's always in the hot seat being grilled for answers instead asking a bunch of to..."
The Impact of the ACA on Healthcare Innovation
Vijay Pande discusses the transformative impact of the Affordable Care Act (ACA) on healthcare innovation, emphasizing the shift from fee-for-service to value-based care. He highlights the importance of keeping patients healthy and how this approach can minimize costs while improving outcomes in the healthcare ecosystem.
"our firm to get to work with some super bright people and I think you have a sense of that from earlier today but this is the session where I get to ask the questions that I want to know the answer to..."
Regulatory Challenges and Opportunities
The conversation shifts to the implications of the ACA's passage, particularly regarding state-level regulatory disparities. Pande explains how varying state regulations can create both challenges and opportunities for startups in the healthcare sector, emphasizing the concept of regulatory arbitrage.
"ACA on how in your view healthcare innovation and especially healthcare innovation and technology I think the AC is part of a graduate of Ellucian that started with macro for pay for value and instead..."
Genetic Information and Risk Scoring
The discussion delves into the controversial use of genetic information for risk scoring in health insurance. The partners explore the implications of the Genetic Information Nondiscrimination Act (GINA) and the ethical considerations surrounding the use of genomic data in determining insurance risk.
"can actually minimize the cost yeah it's gonna say it's pay for value always better yeah I've always better for the patient and then it's always better for everybody else in the ecosystem or who does ..."
Behavioral vs. Genetic Traits in Insurance
The partners debate the distinction between immutable genetic traits and behavioral factors in risk assessment. They discuss how societal norms influence discrimination in insurance practices and the potential consequences of using genetic data for underwriting.
"you know granted it's true early to tell what the true red pack of a HCA is because it's only passed the house hasn't passed the senate hasn't been signed into law but in the event that it just simply..."
The Future of Risk Pools in Health Insurance
As technology advances, the partners consider whether traditional risk pooling models in health insurance can survive. They discuss the challenges of integrating individual-level risk scoring and the potential for a shift in how health insurance operates in the future.
"that is there is possible benefit here or does the complexity end up overwhelming that in it you probably don't want health care done at like the county level but at the state level in that sense it c..."
The Role of AI in Creative Industries
Frank Chen shares his insights on the surprising potential of AI in creative fields. He speculates on the future of AI-generated music and the possibility of AI creating entirely new genres that resonate with audiences, challenging the boundaries of creativity.
"a much more of a technological ability to risk score by person than we've had in the past there's a federal law called Gina sign of 2008 that prohibits the use of certain kinds of genomic data for the..."
AI's Impact on Music and Culture
The conversation continues with a focus on AI's ability to understand and manipulate human preferences in music. The partners discuss the implications of AI's role in shaping cultural trends and the potential for AI to produce commercially successful music.
"that they might need or vice versa so I think that would be an issue and also environmental issues would be key you might have great DNA but if you have every meal at a fast-food place that might not ..."
Genetics and Addictive Behavior
This segment explores the neurological research linking genetic traits to addictive behaviors, such as gambling and risky driving. The discussion raises ethical questions about how society might classify these behaviors as non-freewill based and the implications of using CRISPR technology to alter genetic predispositions.
"mean there is more and more neurological research showing so a genetic or something biological origins of behavior my understanding you tell them are their genetic traits that predispose people to add..."
AI's Creative Potential
The conversation shifts to the surprising potential of AI in the creative realm, particularly in music. The partners speculate on whether AI could create entirely new genres of music that resonate with audiences, challenging the notion of creativity versus imitation in AI-generated art.
"surprising AI up side thing like let's say over like a 10-year period and it can't be like an obvious answer like self-driving cars but like what's the thing and over the next like ten years where we'..."
Expectations vs. Reality in AI
This segment discusses the unrealistic expectations surrounding AI capabilities, particularly in chatbot technology. The partners highlight the gap between public perception of AI's potential and the current limitations, emphasizing that AI is more about advanced automation than true sentience.
"that now would that be scored according to whether humans like that or rather I think it'd just be like is it at the top of the Billboard top chart okay so maybe then AI just gets very good at weaponi..."
The Challenge of Language in AI
The discussion delves into the complexities of natural language processing and the historical challenges faced in AI language translation. The partners share anecdotes illustrating the difficulties AI encounters with language nuances, idioms, and cultural context, underscoring the ongoing struggle to achieve effective communication.
"been able to get it to do that yeah so first just to echo your comment about AI being the SAP so this is my favorite conversation now to have a start-up entrepreneurs so they all come in and they're l..."
Cultural Quirks in Language Processing
Continuing the conversation on language, the partners explore how different languages present unique challenges for AI. They discuss the intricacies of languages like Chinese and the need for a universal learning algorithm that can adapt to various linguistic quirks, highlighting the ongoing quest for advancements in AI language understanding.
"what we actually have is just automation on steroids which is we can now automate things that we couldn't automate before because we don't have to painstakingly describe the rules behind it we're just..."
The Opioid Crisis and Innovation
This segment addresses the opioid crisis, examining the historical context of opioid development and its implications for healthcare innovation. The partners discuss how societal factors contribute to addiction and the potential for technology to provide alternative solutions to pain management.
"answer to this is a million rules there's a professor originally at Stanford he said oh we're never gonna be able to solve AI unless we can solve this corner case so I'm gonna codify all of these rule..."
Societal Factors in Addiction
The conversation shifts to the societal aspects of addiction, referencing studies on environmental influences on behavior. The partners suggest that addressing the root causes of addiction may be more effective than focusing solely on the drugs themselves, emphasizing the importance of improving individuals' quality of life.
"just didn't work because for every set of rules that you there is some exception there is some weird idiom there is some trick of the words that you know the ambiguity resolves some other way where yo..."
Healthcare Innovation and Technology
In this segment, the partners discuss the role of technology in healthcare innovation, particularly in addressing the opioid crisis. They explore the potential for non-addictive pain management solutions and the need for a systemic approach to tackle the underlying issues contributing to addiction.
"so every language has their own quirk like that and the holy grail of this space would be sort of one learning algorithm to learn them all in other words one deep learning framework that could equally..."
Dodd-Frank's Impact on FinTech
The final segment focuses on the implications of Dodd-Frank legislation on the FinTech landscape. The partners analyze how risk retention requirements have shaped the industry and discuss the potential effects of regulatory changes on innovation and financial services.
"on in what was the innovative anesthetic maybe a bit curious you don't know what's new and different about opioids I mean that it is derived from actually chemically it's very similar it's just slight..."
The Complexity of Fair Lending
This segment discusses the complexities of fair lending laws and their implications for machine learning in finance. The speakers highlight the challenges of ensuring non-discrimination in lending practices while navigating the intricacies of data-driven decision-making, particularly in the context of protected classes.
"so you know that's probably a good idea for a for a brand new company that has no money in the bank for them to have to do risk retention around loans that they might originate that that's kind of tri..."
Redlining vs. Predatory Lending
The conversation shifts to the historical context of redlining and its evolution into predatory lending practices. The speakers analyze how societal perceptions of banks have changed over time and the regulatory implications for new lending companies, emphasizing the need for transparency in lending practices.
"actually think are the most anachronistic so this idea of fair lending actually goes back to this machine learning concept fair lending is a very very well-intentioned law like I should not as a bank ..."
The Role of Regulation in Lending
In this segment, the speakers discuss the role of regulation in ensuring transparency and fairness in lending. They argue that effective regulation can prevent predatory practices and promote ethical lending, while also addressing the challenges faced by new companies in a competitive market.
"that long ago there was a huge redlining debater on mortgages and lending and was lending being fundamentally denied to people for reasons by virtue of where they live which was code for who they are ..."
AI Ethics and the Trolley Problem
The discussion turns to AI ethics, particularly the trolley problem, which poses moral dilemmas for autonomous vehicles. The speakers explore the implications of ethical decision-making in AI and the necessity for philosophical frameworks to guide the development of ethical algorithms in technology.
"services available to them and then and only then will you have a chance of being used by that particular consumer and you know we're trying to back things that fundamentally have a 10x improvement ov..."
Future of Ethical AI
This segment contemplates the future of ethical AI, questioning how advanced algorithms can incorporate ethical considerations into their decision-making processes. The speakers discuss the potential for using genetic data to inform risk assessments and the importance of having ethical guidelines in AI development.
"we want one company to hire a bunch of philosophers to do this well that would mean it's literally a company where you submitted an ethical problem yes gives you yeah on the face of it it sounds crazy..."
Regulatory Decisions and Teen Drivers
The conversation shifts to the regulatory decisions surrounding teenage drivers, drawing parallels to AI algorithms. The speakers discuss how society licenses young drivers based on behavioral tests, similar to how we accept the outputs of deep learning algorithms without fully understanding their inner workings. They emphasize the importance of evaluating the safety and reliability of both human and AI decision-making in real-world scenarios.
"decision trees and so when you challenge somebody in the community he's working on these black box algorithms their defense will be hey look and I just actually went through this my sixteen-year-old s..."
The Future of Telepresence and Daily Life
Looking ahead, the speakers speculate on the future of telepresence technology and its potential to transform daily life. They discuss how advancements in virtual reality could change the way we interact, travel, and even perceive location. The implications for real estate and urbanization are explored, suggesting that telepresence could diminish the importance of physical location and potentially reduce inequality.
"change in daily life when are all of our kids are our ages so 2025 years out let's say daily life I definitely believe they're not going to be driving they'll be picked up and you know whether it's to..."
Healthcare Innovations and Longevity
In this segment, the discussion focuses on innovations in healthcare, particularly the potential for personalized medicine and longevity. The speakers envision a future where technology can analyze biological data in real-time, leading to significant advancements in health management. They explore the implications of growing organs from one's own cells and the timeline for mainstream adoption of such technologies, highlighting the transformative potential for healthcare.
"and you have the bandwidth for it and you can kind of simulate experiences I mean if anybody's really has tried like a VR headset now that is already amazing I think right now but just if you follow t..."