a16z Podcast: The Hard Things about Security
a16z Podcast6 Kesä 2018

a16z Podcast: The Hard Things about Security

Here's the hard thing about security: the more authentication factors you have, the more secure things are... but in practice, people won't use too many factors, because they want ease of use. There's clearly a tension between security and usability, not to mention between security and privacy (good security doesn't always come with great privacy -- what if you're a journalist or dissenter under a repressive regime??). And finally, there's a tension between the convenience and inconvenience of hardware given the expected convenience (but also dangerous connectivity) of software and mobile everywhere.

So how to resolve all this? CEO and founder Stina Ehrensvärd found the answer to these paradoxes with her company Yubico, makers of the "ubi"quitous (ahem, no pun intended!) hardware authentication security key used by the top internet companies. They're also the pioneering contributor to the FIDO open authentication standards -- arguably as important as what the SSL protocol did back then between web servers and browsers, only now we're in a world where payments talk to browsers, and machines talk to machines.

But how does open source fit into all this? How does one build trust as a newcomer? And how does one go from founder passion and founder-market fit to product-market fit, especially while straddling two cultures of innovation? Ehrensvärd shares hard-earned lessons learned on going from big vision to practical reality, from managing communication to design and more in this founder/maker story episode of the a16z Podcast (in conversation with general partner Martin Casado and Sonal Chokshi). It's not just luck, it's making your own luck... especially when it comes to seizing opportunities and help in unexpected ways and places.

Jaksot(918)

California's Senate Bill 1047: What You Need to Know

California's Senate Bill 1047: What You Need to Know

On May 21, the California Senate passed bill 1047.This bill – which sets out to regulate AI at the model level – wasn’t garnering much attention, until it slid through an overwhelming bipartisan vote of 32 to 1 and is now queued for an assembly vote in August that would cement it into law. In this episode, a16z General Partner Anjney Midha and Venture Editor Derrick Harris breakdown everything the tech community needs to know about SB-1047.This bill really is the tip of the iceberg, with over 600 new pieces of AI legislation swirling in the United States. So if you care about one of the most important technologies of our generation and America’s ability to continue leading the charge here, we encourage you to read the bill and spread the word.Read the bill: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047

6 Kesä 202431min

The GenAI 100: The Apps that Stick

The GenAI 100: The Apps that Stick

Consumer AI is moving fast, so who's leading the charge? a16z Consumer Partners Olivia Moore and Bryan Kim discuss our GenAI 100 list and what it takes for an AI model to stand out and dominate the market.They discuss how these cutting-edge apps are connecting with their users and debate whether traditional strategies like paid acquisition and network effects are still effective. We're going beyond rankings to explore pivotal benchmarks like D7 retention and introduce metrics that define today's AI market.Note: This episode was recorded prior to OpenAI's Spring update. Catch our latest insights in the previous episode to stay ahead! Resources:Link to the Gen AI 100: https://a16z.com/100-gen-ai-appsFind Bryan on Twitter: https://twitter.com/kirbyman01Find Olivia on Twitter: https://x.com/omooretweets Stay Updated: Find 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://twitter.com/stephsmithioPlease 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 Touko 202447min

Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

Finding a Single Source of AI Truth With Marty Chavez From Sixth Street

a16z General Partner David Haber talks with Marty Chavez, vice chairman and partner at Sixth Street Partners, about the foundational role he’s had in merging technology and finance throughout his career, and the magical promises and regulatory pitfalls of AI.This episode is taken from “In the Vault”, a new audio podcast series by the a16z Fintech team. Each episode features the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future.  Resources: Listen to more of In the Vault: https://a16z.com/podcasts/a16z-liveFind Marty on X: https://twitter.com/rmartinchavezFind David on X: https://twitter.com/dhaber Stay Updated: Find 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://twitter.com/stephsmithioPlease 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 Touko 202435min

A Big Week in AI: GPT-4o & Gemini Find Their Voice

A Big Week in AI: GPT-4o & Gemini Find Their Voice

This was a big week in the world of AI, with both OpenAI and Google dropping significant updates. So big that we decided to break things down in a new format with our Consumer partners Bryan Kim and Justine Moore. We discuss the multi-modal companions that have found their voice, but also why not all audio is the same, and why several nuances like speed and personality really matter. Resources:OpenAI’s Spring announcement: https://openai.com/index/hello-gpt-4o/Google I/O announcements: https://blog.google/technology/ai/google-io-2024-100-announcements/ 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://twitter.com/stephsmithioPlease 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.

19 Touko 202423min

Remaking the UI for AI

Remaking the UI for AI

Make sure to check out our new AI + a16z feed: https://link.chtbl.com/aiplusa16z a16z General Partner Anjney Midha joins the podcast to discuss what's happening with hardware for artificial intelligence. Nvidia might have cornered the market on training workloads for now, but he believes there's a big opportunity at the inference layer — especially for wearable or similar devices that can become a natural part of our everyday interactions. Here's one small passage that speaks to his larger thesis on where we're heading:"I think why we're seeing so many developers flock to Ollama is because there is a lot of demand from consumers to interact with language models in private ways. And that means that they're going to have to figure out how to get the models to run locally without ever leaving without ever the user's context, and data leaving the user's device. And that's going to result, I think, in a renaissance of new kinds of chips that are capable of handling massive workloads of inference on device."We are yet to see those unlocked, but the good news is that open source models are phenomenal at unlocking efficiency.  The open source language model ecosystem is just so ravenous."More from Anjney:The Quest for AGI: Q*, Self-Play, and Synthetic DataMaking the Most of Open Source AISafety in Numbers: Keeping AI OpenInvesting in Luma AIFollow everyone on X:Anjney MidhaDerrick HarrisCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Stay Updated: Find 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://twitter.com/stephsmithioPlease 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 Touko 202440min

How Discord Became a Developer Platform

How Discord Became a Developer Platform

In 2009 Discord cofounder and CEO, Jason Citron, started building tools and infrastructure for games. Fast forward to today and the platform has over 200 million monthly active users. In this episode, Jason, alongside a16z General Partner Anjney Midha—who merged his company Ubiquity6 with Discord in 2021—shares insights on the nuances of community-driven product development, the shift from gamer to developer, and Discord’s longstanding commitment to platform extensibility. Now, with Discord's recent release of embeddable apps, what can we expect now that it's easier than ever for developers to build? Resources: Find Jason on Twitter: https://twitter.com/jasoncitronFind Anjney on Twitter: https://twitter.com/AnjneyMidha Stay Updated: Find 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://twitter.com/stephsmithioPlease 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.

10 Touko 202442min

Securing the Black Box: OpenAI, Anthropic, and GDM Discuss

Securing the Black Box: OpenAI, Anthropic, and GDM Discuss

Human nature fears the unknown, and with the rapid progress of AI, concerns naturally arise. Uncanny robocalls, data breaches, and misinformation floods are among the worries. But what about security in the era of large language models?In this episode, we hear from security leaders at OpenAI, Anthropic, and Google DeepMind. Matt Knight, Head of Security at OpenAI, Jason Clinton, CISO at Anthropic, and Vijay Bolina, CISO at Google DeepMind, are joined by Joel de la Garza, operating partner at a16z and former chief security officer at Box and Citigroup.Together, they explore how large language models impact security, including changes in offense and defense strategies, misuse by nation-state actors, prompt engineering, and more. In this changing environment, how do LLMs transform security dynamics? Let's uncover the answers. Resources:Find Joel on LinkedIn: https://www.linkedin.com/in/3448827723723234/Find Vijay Bolina on Twitter: https://twitter.com/vijaybolinaFind Jason Clinton on Twitter: https://twitter.com/JasonDClintonFind Matt Knight  on Twitter: https://twitter.com/embeddedsec Stay Updated: Find 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://twitter.com/stephsmithioPlease 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.

6 Touko 202459min

Can AI Advance Science? DeepMind's VP of Science Weighs In

Can AI Advance Science? DeepMind's VP of Science Weighs In

In recent years, the AI landscape has seen huge advancements, from the release of Dall-E 2 in April 2022 to the emergence of AI music and video models in early 2024.While creative tools often steal the spotlight, AlphaFold 2 marked a groundbreaking AI breakthrough in biology in 2021. Since its release, this pioneering tool for predicting protein structures has been utilized by over 1.7 million scientists worldwide, influencing fields ranging from genomics to computational chemistry.In this episode, DeepMind's VP of Research for Science, Pushmeet Kohli, and a16z General Partner Vijay Pande discuss the transformative potential of AI in scientific exploration. Can AI lead to fundamentally new discoveries in science? Let's find out. Resources: Find Pushmeet on Twitter: https://twitter.com/pushmeetFind Vijay on Twitter: https://twitter.com/vijaypandeLearn more about Google DeepMind: https://deepmind.googleRead DeepMind’s AlphaFold whitepaper: https://deepmind.google/discover/blog/a-glimpse-of-the-next-generation-of-alphafoldRead DeepMind’s AlphaGeometry: https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometryRead DeepMind’s research on new materials: https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/Read DeepMind’s paper on FunSearch, focused on new discoveries in mathematics: https://deepmind.google/discover/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models Stay Updated: Find 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://twitter.com/stephsmithioPlease 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.

1 Touko 202455min

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