Crypto Security and the New Web3 Mindsets for Users

Love the term or hate it, the concept and reality of the "sharing economy" (or "gig economy" and so on) is here to stay. And in fact, argues NYU Stern professor and researcher Arun Sundararajan, it may even reduce the income distribution gap between the haves and have-nots in a way that previous shifts -- like the Industrial Revolution and traditional 20th century institutions -- never did. How? Because it's a new model for (crowd-based) capitalism -- one where we're increasing the segment of the population that owns the means of production. Or... have we just shifted value from traditional institutions to the platforms instead? Well, let's see what the data tells us. In this episode of the a16z Podcast, Sundararajan (who is also affiliated with NYU's Center for Urban Science+Progress and at NYU's Center for Data Science) shares the latest findings, economics research, and more from his new book on The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. We cover the challenges of capturing this shift in GDP (as well as the challenges of GDP and measuring tech progress in general); the challenges of creating a new funding model for the "social safety net of the 21st century workforce"; the challenges of "data darwinism", reputation, and ratings; and finally, how and just who should regulate the sharing economy? The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation. This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/. Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

16 Juni 201628min

The world's most valuable company, Apple, made a number of seemingly incremental announcements at its most recent annual developer's conference (WWDC) -- that Apple Pay is coming to the web; that Siri is being opened up to app developers; that iMessage will suggest emoji; and many other things. Underneath all these little feature tweaks however is a bigger story, argue a16z's Benedict Evans, Frank Chen, and Kyle Russell. It's a story about -ification: the "platformification" of apps available on the Apple operating system (they've turned maps into a platform before even Google has); the "widgetification" of everything (using familiar interfaces to ensure continuity across different contexts); and the AI-ification of everyday services (like recognizing faces in photos and predicting, um, emoji). Add it all up though and it means Apple is focusing a lot more on A.I., just like other big tech companies such as Google and Facebook (and don't forget Amazon too!). Only Apple is bringing artificial intelligence to the phone -- it now also has a neural network API for instance -- only interestingly, it's focusing on doing so at the device, not cloud level. So what does it all mean?

14 Juni 201625min

The mindset of "move fast and break things", while great for code, isn't exactly great for the human body. So adding computation to biology -- especially in the slow-moving pharmaceutical industry, where drug approval can take years -- brings with it both opportunities (like drastically faster discovery and assessment) and challenges (the need for hard evidence, not just soft-ware). But there's more: We don't want just better outcomes for healthcare. We want better outcomes at a cheaper price. And that's where machine learning comes in. The benefits of such computation -- i.e., software -- can provide a powerful, frictionless, and far more cost-effective tool for biopharmaceutical research ... but it requires data. So who provides that data? Is it the pharmaceutical companies, or the payers (insurance)? How are organizations incented to overcome intellectual property silos in sharing their data? Especially since it was only relatively recently, Jeff Kindler (the former CEO of the world's largest pharmaceutical company, Pfizer) reminds us in this episode of the a16z Podcast, that the FDA even allowed data to be put in computers vs. on paper. But there's a reason the self-driving car was pushed out of the software and not the auto industry, argues TwoXAR co-founder and CEO Andrew Radin -- and it has to do with the unique nature of the developer's mindset applied to novel problems. The deterministic nature of Moore's Law -- it's not a matter of if, but when -- plays a role too, observes a16z bio fund general partner Vijay Pande. There are things that big data and simulations will be able to accomplish that a hundred lab experiments on animals can't. Still, the two mindsets will have to merge, so we can move fast ... but without compromising quality, safety, and reliability. That's the big difference between computer science and biology after all. image: mattza/ Flickr

14 Juni 201629min

Technology has always been a force in how we live, work, and play; only now it's accelerating and compounding in unexpected ways. But just because we don't know exactly what form that tech will take (sharing homes on Airbnb or cars with Lyft and Uber for example) doesn't mean that the larger force at play (e.g., sharing) didn't have a certain predictability to it. It was almost an inherent -- and inevitable -- outcome of the very nature of the internet itself. And there are at least 12 such inevitable technological forces, shares author Kevin Kelly in his new book Inevitable. As we now move from an "internet of information" to an "internet of experiences" -- with virtual and augmented reality, AI-as-a-service, and more -- we need to accept the inevitable. Instead of fighting tech outcomes (things like tracking for example), we need to expect it, accept it, plan for it, and civilize it. It's not just about policy and laws, though (which should follow tech use); it's about new business opportunities (imagine if the music industry had bypassed its DRM phase!), cultural change, and new opportunities for humanity, too. Especially as the future of work changes. But productivity -- and even some forms of creativity -- is for the robots, argues Kelly in this episode of the a16z Podcast (where he is joined by a16z's Chris Dixon, Kyle Russell, and Sonal Chokshi). The irony is that while technology is inevitable, we humans are best suited for what is uncertain, inefficient, and full of failure. Machines may answer, but we will ask the questions. It's not just what we want, but what technology needs.

7 Juni 201641min

"Anybody who is interested in China, who's developing things in China, who's doing business with China needs to be thinking about the instinct towards politics over pragmatism", argues New Yorker staff writer (and former Beijing resident) Evan Osnos. "It will affect your operations there. It's not the kind of thing where you can be, 'Well, look, we're not interested in politics.'" Osnos, who also wrote the award-winning book The Age of Ambition: Chasing Fortune, Truth, and Faith in the New China, shares experiences and views on the tension between one of the oldest civilizations in the world and newer story of nation-building (is it, like the buildings being built, structurally sound?); an evolving demographic (where "kids you have no idea how good you have it" may no longer be a hedge against politics); and middle-class Chinese, not just outside or elite, complaints about pollution (especially since "environmentalism has often been the front edge of a deeper change in political consciousness"). And speaking of political consciousness and complaints, what of the Trump phenomenon? In this episode of the a16z Podcast -- continuing our recent tech/policy/innovation D.C. on-the-road trip -- Osnos, who is based in Washington, D.C., shares field observations from Charleston, South Carolina to West Virginia. And from Silicon Valley, where technologists might be able to do something about the largely public health, political, and economic problem of gun violence.

2 Juni 201643min

Everything old is new again when it comes to startup ideas and how technology innovation happens. But practically, how does that apply to starting and/or working at startups — especially since the default state of every company is “dying in obscurity”? In this episode of the a16z Podcast, Marc Andreessen and 21 co-founder Balaji Srinivasan cover everything from deciding what ideas to work on and the optimal type of startups to work at, to the funding environment and pendulum swings of deciding when to IPO. They also discuss the VC “formula” of weighting product vs. market vs. team; the full-stack approach to cracking industries that tech could never enter before; and recent tech trends and news including The DAO, AI, VR/AR and the “Instagrammification of everything”, more. And where does Andreessen stand on the “moral dilemma” of whether entrepreneurs should drop out of college or not? Would Srinivasan still do a PhD today? People’s early career goals should be about maximizing learning skills and minimizing “personal burn”, they argue. But no matter what, Andreessen believes, smart people — from all industries, not just tech — should build things. It’s also easier to get through startup hard times when there’s an ideological mission motivating you, observes Srinivasan. This episode is based on a May 2016 conversation that was recorded as part of the Annual Distinguished Speaker Series with Thought Leaders in Technology, hosted by engineering honor society Tau Beta Pi at Stanford University. photo credit: Ryan Jae/ The Stanford Daily

30 Maj 201653min

"We really want Apple here... Would you please call Tim Cook?" That's just one of the things Penny Pritzker, the 38th Secretary of Commerce has heard as she and the U.S. Department of Commerce engage in "commercial diplomacy" around the world. Their job is to help overcome trade barriers, represent the interests of entrepreneurs and drive administrative policy change as it relates to technology, and be on the frontline of helping small and medium-sized businesses in markets all around the world -- from Indonesia to Europe to Cuba. So what else have they found about how other countries perceive U.S. tech companies? Especially as they wrangle with issues such as immigration (and not just for high-education visas); E.U. Safe Harbor (which is more difficult for smaller companies) and its update, the transatlantic Privacy Shield agreement; and finally, the TPP or Trans-Pacific Partnership multinational trade agreement (for which some have expressed intellectual property concerns)? And then... since the previous policy of isolation didn't work, how is the U.S. government's policy of engagement with Cuba working out so far? Priztker shares perspectives on all this and more in this episode -- including views on focusing on advanced manufacturing; gathering data from weather sensors and census surveys; and counting the gig economy in GDP -- with a16z's head of policy and regulatory affairs, Ted Ullyot. The conversation took place at Andreessen Horowitz' inaugural Silicon Valley comes to Washington, D.C. tech and policy event in April 2016.

27 Maj 201630min

In many ways, managing startups is about managing uncertainty: in product, market, and... people. So what happens when changes in the business require changes -- and sometimes reductions -- in the workforce? In this episode of the podcast, a16z partners Shannon Schiltz and Alex Rampell share both their professional and personal experiences with layoffs -- from why they happen to what to do (and what not to do).

26 Maj 201629min