a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

General Partner Anjney Midha explores the cutting-edge world of text-to-video AI with AI researchers Andreas Blattmann and Robin Rombach. Released in November, Stable Video Diffusion is their latest open-source generative video model, overcoming challenges in size and dynamic representation.In this episode Robin and Andreas share why translating text to video is complex, the key role of datasets, current applications, and the future of video editing.Topics Covered: 00:00 - Text to Video: The Next Leap in AI Generation02:41 - The Stable Diffusion backstory04:25 - Diffusion vs autoregressive models06:09 - The benefits of single step sampling09:15 - Why generative video?11:19 - Understanding physics through AI video12:20 - The challenge of creating generative video15:36 - Data set selection and training17:50 - Structural consistency and 3D objects19:50 - Incorporating LoRAs21:24 - How should creators think about these tools?23:46 - Open challenges in video generation 25:42 - Infrastructure challenges and future research Resources: Find Robin on Twitter: https://twitter.com/robrombachFind Andreas on Twitter: https://twitter.com/andi_blattFind Anjney on Twitter: https://twitter.com/anjneymidhaStay 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.

20 Dec 202332min

Voice-First Apps, AI Moats, Never-Ending Games, and Anime. We asked over 40 partners across a16z to preview one big idea they believe will drive innovation in 2024.Here in our 3-part series, you’ll hear directly from partners across all our verticals, as we dive even more deeply into these ideas. What’s the why now? Who is already building in these spaces? What opportunities and challenges are on the horizon? And how can you get involved?Timecodes:00:00 - Big Ideas in Tech 202401:39 - Big Idea: Voice-First Apps Will Become Integral to Our Lives04:14 - The limiting factors of voice technology05:27 - What would a voice-first app look like? 06:52 - Voice tech for companionship and productivity 08:05 - The primary modality voice applications10:08 - How builders and founders can integrate voice technology13:31 - Big Idea: The Consumer AI Battleground Moves from Model to UX15:49 - How user experience can contribute toward building a moat17:57 - The commoditization of models19:55 - How should builders differentiate between model and experience?22:58 - Breakout examples for 202425:10 - Open source vs closed source26:44 - The impact of applications splitting from the infrastructure layer28:14 - Big Idea: AI-First Games That Never End29:59 -Generative AI in gaming and AI native games31:12 - Introducing generative agents as game companions 33:57 - Does the gaming community want hyper personalization?38:00 - New entrants vs the incumbents41:57 - How business models and cost structures are evolving46:21 - Advice for game builders in 202448:03 - Big Idea: Anime Games Go Mainstream49:28 - What defines anime?52:05 - Anime’s monetization strategy and how it differs from other genres54:04 - Why are we seeing a rise in anime?55:56 - What is required to be successful in anime58:20 - AI, XR and inventing the next wave of anime Resources:View all 40+ big ideas: https://a16z.com/bigideas2024 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.

15 Dec 20231h

Arthur Mensch is the co-founder of Mistral and the co-author of Deepmind’s pivotal 2022 "Chinchilla" paper.In September 2023, Mistral released Mistral-7B, an advanced open-source language model that has rapidly become the top choice for developers. Just this week, they introduced a new mixture of experts model – Mixtral — that’s already generating significant buzz among AI developers.As the battleground around large language models heats up, join us for a conversation with Arthur as he sits down with a16z General Partner Anjney Midha. Together, they delve into the misconceptions and opportunities around open source; the current performance reality of open and closed models; and the compute, data, and algorithmic innovations required to efficiently scale LLMs.Resources:Find Arthur on Twitter: https://twitter.com/arthurmenschFind Anjney on Twitter: https://twitter.com/anjneymidhaLearn more about Mistral: https://mistral.aiLearn why we invested in Mistral: https://a16z.com/announcement/investing-in-mistral/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.

11 Dec 202334min

Smart energy grids. Voice-first companion apps. Programmable medicines. AI tools for kids.
We asked over 40 partners across a16z to preview one big ideathey believe will drive innovation in 2024.Here in our 3-part series, you’ll hear directly from partners across all our verticals, as we dive even more deeply into these ideas. What’s the why now? Who is already building in these spaces? What opportunities and challenges are on the horizon? And how can you get involved?View all 40+ big ideas: https://a16z.com/bigideas2024 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.

8 Dec 20231h 5min

One topic at the center of the AI universe this week is a potential breakthrough called Q*. Little has been revealed about this OpenAI project, other than its likely relationship to solving certain grade-school mathematical problems.Amid much speculation, we decided to bring in our new general partner, Anjney Midha – focused on all things AI – to sift through the sea of noise.Today, we discuss the key frontier research areas that AI labs are exploring on their path toward generalizable intelligence, from self-play, to model-free reinforcement learning to synthetic data. Anjney also shares his insights on which approach he expects to be most influential in the next wave of LLMs and why math problems are even a suitable testing ground for this kind of research. Topics Covered:02:03 - What is Q*?06:21 - Applying model-free reinforcement learning to complex spaces13:17 - The role of self-play19:04 - Synthetic data’s big unlock24:44 - What does this unlock for society? Resources:Follow 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.

4 Dec 202326min

with @davidmarcus @smc90This wide-ranging conversation covers company building, big to small -- including what cadence and when is the right "time" to ship; the relationship between centralization, decentralization, platforms, and financial freedom; moving from web2 to web3 in both crypto AND payments... as well as why bitcoin, views on remote work, and much much more. Our guest is David Marcus, CEO and co-founder of Lightspark; Marcus was also a co-creator of Diem (aka Libra and Novi, the cryptocurrency project initiated by Facebook). Before that, he was vice president of messaging products there, where he ran the Facebook Messenger unit; and prior to joining Facebook, Marcus was the former president of PayPal (which had acquired his previous startup).  This episode begins with an interview just to help kick things off and then features a rich set of questions from the audience -- as this originally took place live on stage at our Crypto Startup School 2023. As a reminder: none of this should be taken as investment, legal, business, or tax advice; please see a16z.com/disclosures for more important information -- including a link to a list of our investments.related readings:Regulate apps, not protocols series (2022-2023) - Miles Jennings et al, a16z crypto)What it will take to create the next great Silicon Valleys (2014) - Marc Andreessen (Politico, a16z)Why bitcoin matters (2014) - Marc Andreeessen (NYT, a16z)When one app rules them all: The case of WeChat and Mobile in China (2015) - Connie Chan (a16z) Subscribe to web3 with a16z: https://link.chtbl.com/web3witha16z 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.

28 Nov 202348min

Taking a company from idea to household name is always difficult. But the past few years presented challenges that caught even the most-seasoned CEOs off guard.In this episode, you’ll hear from two CEOs that navigated these waters and somehow, came out on the other side. These recordings come straight from our exclusive Connect/Enterprise event, bringing together top executives across the a16z network. Resources:Additional content from Connect/Enteprise:Enterprise Startups: Advice on Hiring, Firing, Scaling, and SellingBuilding Products With Generative AI Learn more about company-building: https://a16z.com/category/company-building/ 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.

23 Nov 202351min

Fei-Fei Li, PhD,  Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute, joins Bio + Health founding partner Vijay Pande.In this candid conversation, Li unfolds her transformation from a young immigrant to an influential figure in AI. The conversation explores the birth of ImageNet, a pivotal step that bridged the gap between visual intelligence and accessible AI technology. They delve into the notion of a 'Dignity Economy,' hinting at a future where technology serves to elevate human experience rather than undermine it. Li also touches on the delicate balance between relentless innovation and life's humble pursuits. This episode peels back the layers on the human side of AI, offering a rare glimpse into the personal and professional realms of a pioneer shaping the AI landscape.Check out her new book, The Worlds I See, here: https://us.macmillan.com/books/9781250897930/theworldsiseeCheck out other episodes form our sister podcast, Bio Eats World: https://a16z.com/podcasts/bio-eats-world/ 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.

13 Nov 202328min