More About Frank
Frank Chen currently leads the a16z Seed Program, which helps early stage (typically pre-seed, seed, and Series A) founders build great companies on their way to their next fundraise.
Prior to this role, Frank helped launch a16z’s Talent x Opportunity (TxO) Initiative to discover and support cultural geniuses in building large, enduring businesses around their cultural breakthroughs. At a16z, Frank also built and scaled the firm’s deal and research team whose goals were to find and invest in great entrepreneurs and build a comprehensive knowledge base of trends, technologies, products, and people along the way.
Prior to Andreessen Horowitz, Frank held a series of product management, user experience design, developer relations, and executive roles at HP Software, Opsware, Loudcloud, Respond.com, Netscape Communications, Oracle Corporation GO Corporation, Apple, and IBM Research.
Frank holds a B.S. in Symbolic Systems from Stanford University where he graduated with distinction. Back in the stone age when he did this, AI was going through a deep winter, but he was too clueless to know this. But he’s now enjoying a Revenge of the Nerds moment given how critical artificial intelligence is to so many different startups solving the world’s most challenging and important problems.
In this week’s episode of 16 Minutes, our show where we talk about tech trends in the news, what’s hype/ what’s real, and where we are on the long arc of innovation, the topic is semiconductors – specifically, the ongoing global shortage that began last summer and has intensified in recent weeks. So much so, that the U.S. president signed an executive order just last week to address concerns around the shortage, calling for reviews of supply chains for critical sectors of the economy.
In today's episode of 16 Minutes, where we take a look at the news and what it means for the long arc of innovation, we've got segments on artificial intelligence and public-markets innovation.
We cover the latest news since Nvidia (maker of GPUs among other things) announced its intent to acquire Arm (provider of silicon IP for system-on-chips inside billions of devices), arguing that "This combination has tremendous benefits for both companies, our customers, and the industry." But how so, when critics are worried about channel conflict, shepherding the broader ecosystem of users, and other issues? Some believe the deal may not go through, and there are also concerns about it for geopolitical reasons (U.S.-based Nvidia, UK-based Arm, China), so how do we tease apart "what's hype/ what's real" here when it comes to understanding the broader implications of the deal?
Given all the recent buzz around the language model GPT-3 -- what is "it", how does it work, where does it fit into the arc of broader tech trends -- what's hype, what's real here? Are we really getting closer to artificial general intelligence? We cover all this and more and discuss broader implications for startups, incumbents, and the future of work too.
In this special "2x" explainer episode of 16 Minutes -- where we talk about what's in the news, and where we are on the long arc of various tech trends -- we cover all the buzz around GPT-3, the pre-trained machine learning model that's optimized to do a variety of natural-language processing tasks. The paper about GPT-3 was released in late May, but OpenAI (the AI "research and deployment" company behind it) only recently released private access to its API or application programming interface, which includes some of the technical achievements behind GPT-3 as well as other models.