70 episodes

At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com.
Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners.
Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

No Priors: Artificial Intelligence | Technology | Startups Conviction | Pod People

    • Technology
    • 4.6 • 93 Ratings

At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com.
Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners.
Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

    Can AI replace the camera? with Joshua Xu from HeyGen

    Can AI replace the camera? with Joshua Xu from HeyGen

     AI video generation models still have a long way to go when it comes to making compelling and complex videos but the HeyGen team are well on their way to streamlining the video creation process by using a combination of language, video, and voice models to create videos featuring personalized avatars, b-roll, and dialogue. This week on No Priors, Joshua Xu the co-founder and CEO of HeyGen,  joins Sarah and Elad to discuss how the HeyGen team broke down the elements of a video and built or found models to use for each one, the commercial applications for these AI videos, and how they’re safeguarding against deep fakes. 

    Links from episode:

    HeyGen

    McDonald’s commercial


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    Show Notes: 
    (0:00) Introduction
    (3:08) Applications of AI content creation
    (5:49) Best use cases for Hey Gen
    (7:34) Building for quality in AI video generation
    (11:17) The models powering HeyGen
    (14:49) Research approach
    (16:39) Safeguarding against deep fakes
    (18:31) How AI video generation will change video creation
    (24:02) Challenges in building the model
    (26:29) HeyGen team and company

    • 27 min
    How the ARC Prize is democratizing the race to AGI with Mike Knoop from Zapier

    How the ARC Prize is democratizing the race to AGI with Mike Knoop from Zapier

    The first step in achieving AGI is nailing down a concise definition and Mike Knoop, the co-founder and Head of AI at Zapier, believes François Chollet got it right when he defined general intelligence as a system that can efficiently acquire new skills. This week on No Priors, Miked joins Elad to discuss ARC Prize which is a multi-million dollar non-profit public challenge that is looking for someone to beat the Abstraction and Reasoning Corpus (ARC) evaluation.
    In this episode, they also get into why Mike thinks LLMs will not get us to AGI, how Zapier is incorporating AI into their products and the power of agents, and why it’s dangerous to regulate AGI before discovering its full potential. 
    Show Links:

    About the Abstraction and Reasoning Corpus

    Zapier Central

    ARC Prize


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    Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @mikeknoop

    Show Notes: 
    (0:00) Introduction
    (1:10) Redefining AGI
    (2:16) Introducing ARC Prize
    (3:08) Definition of AGI
    (5:14) LLMs and AGI
    (8:20) Promising techniques to developing AGI
    (11:0) Sentience and intelligence
    (13:51) Prize model vs investing
    (16:28) Zapier AI innovations
    (19:08) Economic value of agents
    (21:48) Open source to achieve AGI
    (24:20) Regulating AI and AGI

    • 26 min
    The evolution and promise of RAG architecture with Tengyu Ma from Voyage AI

    The evolution and promise of RAG architecture with Tengyu Ma from Voyage AI

    After Tengyu Ma spent years at Stanford researching AI optimization, embedding models, and transformers, he took a break from academia to start Voyage AI which allows enterprise customers to have the most accurate retrieval possible through the most useful foundational data. Tengyu joins Sarah on this week’s episode of No priors to discuss why RAG systems are winning as the dominant architecture in enterprise and the evolution of foundational data that has allowed RAG to flourish. And while fine-tuning is still in the conversation, Tengyu argues that RAG will continue to evolve as the cheapest, quickest, and most accurate system for data retrieval. 

    They also discuss methods for growing context windows and managing latency budgets, how Tengyu’s research has informed his work at Voyage, and the role academia should play as AI grows as an industry. 

    Show Links:

    Voyage AI

    Stanford Assistant Professor of Computer Science

    Tengyu Ma Key Research Papers:

    Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

    Non-convex optimization for machine learning: design, analysis, and understanding

    Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

    Larger language models do in-context learning differently, 2023

    Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning

    On the Optimization Landscape of Tensor Decompositions


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    Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @tengyuma

    Show Notes: 
    (0:00) Introduction
    (1:59) Key points of Tengyu’s research
    (4:28) Academia compared to industry
    (6:46) Voyage AI overview
    (9:44) Enterprise RAG use cases
    (15:23) LLM long-term memory and token limitations
    (18:03) Agent chaining and data management
    (22:01) Improving enterprise RAG 
    (25:44) Latency budgets
    (27:48) Advice for building RAG systems
    (31:06) Learnings as an AI founder
    (32:55) The role of academia in AI

    • 36 min
    How YC fosters AI Innovation with Garry Tan

    How YC fosters AI Innovation with Garry Tan

    Garry Tan is a notorious founder-turned-investor who is now running one of the most prestigious accelerators in the world, Y Combinator. As the president and CEO of YC, Garry has been credited with reinvigorating the program. On this week’s episode of No Priors, Sarah, Elad, and Garry discuss the shifting demographics of YC founders and how AI is encouraging younger founders to launch companies, predicting which early stage startups will have longevity, and making YC a beacon for innovation in AI companies. They also discussed the importance of building companies in person and if San Francisco is, in fact, back. 

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    Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @garrytan

    Show Notes: 
    (0:00) Introduction
    (0:53) Transitioning from founder to investing
    (5:10) Early social media startups
    (7:50) Trend predicting at YC
    (10:03) Selecting YC founders
    (12:06) AI trends emerging in YC batch
    (18:34) Motivating culture at YC
    (20:39) Choosing the startups with longevity
    (24:01) Shifting YC found demographics
    (29:24) Building in San Francisco 
    (31:01) Making YC a beacon for creators
    (33:17) Garry Tan is bringing San Francisco back

    • 39 min
    The Data Foundry for AI with Alexandr Wang from Scale

    The Data Foundry for AI with Alexandr Wang from Scale

    Alexandr Wang was 19 when he realized that gathering data will be crucial as AI becomes more prevalent, so he dropped out of MIT and started Scale AI. This week on No Priors, Alexandr joins Sarah and Elad to discuss how Scale is providing infrastructure and building a robust data foundry that is crucial to the future of AI. While the company started working with autonomous vehicles, they’ve expanded by partnering with research labs and even the U.S. government.  

    In this episode, they get into the importance of data quality in building trust in AI systems and a possible future where we can build better self-improvement loops, AI in the enterprise, and where human and AI intelligence will work together to produce better outcomes. 

    Sign up for new podcasts every week. Email feedback to show@no-priors.com
    Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alexandr_wang

    (0:00) Introduction
    (3:01) Data infrastructure for autonomous vehicles
    (5:51) Data abundance and organization
    (12:06)  Data quality and collection
    (15:34) The role of human expertise
    (20:18) Building trust in AI systems
    (23:28) Evaluating AI models
    (29:59) AI and government contracts
    (32:21) Multi-modality and scaling challenges

    • 39 min
    Music consumers are becoming the creators with Suno CEO Mikey Shulman

    Music consumers are becoming the creators with Suno CEO Mikey Shulman

    Mikey Shulman, the CEO and co-founder of Suno, can see a future where the Venn diagram of music creators and consumers becomes one big circle. The AI music generation tool trying to democratize music has been making waves in the AI community ever since they came out of stealth mode last year. Suno users can make a song complete with lyrics, just by entering a text prompt, for example, “koto boom bap lofi intricate beats.” You can hear it in action as Mikey, Sarah, and Elad create a song live in this episode. 

    In this episode, Elad, Sarah, And Mikey talk about how the Suno team took their experience making at transcription tool and applied it to music generation, how the Suno team evaluates aesthetics and taste because there is no standardized test you can give an AI model for music, and why Mikey doesn’t think AI-generated music will affect people’s consumption of human made music. 

    Listen to the full songs played and created in this episode:

    Whispers of Sakura

    Stone 

    Statistical Paradise

    Statistical Paradise 2


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    Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @MikeyShulman

    Show Notes: 
    (0:00) Mikey’s background
    (3:48) Bark and music generation
    (5:33) Architecture for music generation AI
    (6:57) Assessing music quality
    (8:20) Mikey’s music background as an asset
    (10:02) Challenges in generative music AI
    (11:30) Business model
    (14:38) Surprising use cases of Suno
    (18:43) Creating a song on Suno live
    (21:44) Ratio of creators to consumers
    (25:00) The digitization of music
    (27:20) Mikey’s favorite song on Suno
    (29:35) Suno is hiring

    • 30 min

Customer Reviews

4.6 out of 5
93 Ratings

93 Ratings

The app blogger ,

Serendipitous timing on finding a timely podcast

I’m a business owner that is interested and slowly evolving to the idea of using AI in our operations and administrative efforts. I tend to observe first and eventually try second and tend to be the last people to convert. In the case of AI just a few episodes have already provided me some key answers to burning questions I’ve had respecting this new frontier. Sara and Elad make the conversation flow smoothly with just the right mixture of humor and intellectual insight to couple with credible guests. This show is yet another candle lighting the way on a pathway that is growing brighter with each educated voice. You’ve got a new fan and follower here. I highly recommend learning the new strides of AI with ‘No Priors’. And you can quote me. :)

Nubian Lyaness ,

Best podcast on ai and technology

Sometimes very technical but great range of guests and questions. This is one for the weekly listen.

Caduce07 ,

One of the best

Weekly listen for pioneers in AI

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