a16z Podcast: For Google, Android is a Tactic and Cloud is a Strategy
a16z Podcast30 Maj 2015

a16z Podcast: For Google, Android is a Tactic and Cloud is a Strategy

Google is a vast machine learning company. If you think about it in those terms, says Benedict Evans, every product and feature Google builds is an expression of its machine learning expertise -- or a way to distribute it, and provide easier access to it. Evans joins the pod to pick apart all the latest machine learning-driven tech from Google as it hosts its annual developer party I/O. What’s become very clear this year, Evans says, is that for Google all the really cool stuff isn’t happening in Android, it’s happening in the Cloud. Finally, what’s next in VR from Google, and how it plans to tackle the developing world.

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a16z Podcast: Move Fast But Don't Break Things (When It Comes to Computational Biology)

a16z Podcast: Move Fast But Don't Break Things (When It Comes to Computational Biology)

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

a16z Podcast: Not If, But How -- When Technology is Inevitable (with Kevin Kelly)

a16z Podcast: Not If, But How -- When Technology is Inevitable (with Kevin Kelly)

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

Politics Over Pragmatism

Politics Over Pragmatism

"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

a16z Podcast: Startups and Pendulum Swings Through Ideas, Time, Fame, and Money

a16z Podcast: Startups and Pendulum Swings Through Ideas, Time, Fame, and Money

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

a16z Podcast: Trade, Commerce, Manufacturing, Immigration, & Cuba -- with Penny Pritzker

a16z Podcast: Trade, Commerce, Manufacturing, Immigration, & Cuba -- with Penny Pritzker

"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

a16z Podcast: Managing Uncertainty -- Layoffs and Talent

a16z Podcast: Managing Uncertainty -- Layoffs and Talent

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

a16z Podcast: Automation, Jobs, & the Future of Work (and Income)

a16z Podcast: Automation, Jobs, & the Future of Work (and Income)

There's no question automation is taking over more and more aspects of work and some jobs altogether. But we're now entering a "third era" of automation, one which went from taking over dangerous work to dull work and now decision-making work, too. So what will it take to deal with a world -- and a workplace -- where machines could be thought of as colleagues? The key lies in distinguishing between automation vs. augmentation, argue the guests on this episode of the a16z Podcast, IT management professor Thomas Davenport and Harvard Business editor Julia Kirby, who authored the new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. But the argument isn't as simple as saying humans will just do the creative, emotionally intelligent work and that machines will do the rest. The future of work is complex and closely tied to the need for structure, identity, and meaning. Which is also why linking the discussion of things like "universal basic income" to the topic of automation isn't just unnecessary, but depressing and even damaging (or so argue the guests on this episode).

23 Maj 201626min

a16z Podcast: Innovation vs. Invention at Google I/O

a16z Podcast: Innovation vs. Invention at Google I/O

Innovation or invention? Platform or app? Vertical or horizontal? Strategy or tactic? Does the smartphone eat VR? And (not to get all existential about it or anything but), what is an app, really? a16z partners Benedict Evans, Connie Chan, Kyle Russell, and board partner Steven Sinofsky explore these tensions in this episode of the podcast as they share some quick reactions to Google I/O, Google's annual developer conference, where the company announced a number of new platform products -- for VR to messaging to the smart home. Maybe most new things are really old things, but maybe those distinctions don't matter as artificial intelligence leaps into how we live our lives, automating (and anticipating) things in a new way...

20 Maj 201626min

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