No Priors: Artificial Intelligence | Technology | Startups

Today on No Priors, co-founder and CEO of Decagon, Jesse Zhang, joins Elad to discuss the future of agentic customer support. Decagon provides AI-powered customer interactions for companies like Rippling, Notion, Duolingo, Classpass, Substack, Vanta, Eventbrite, and more. Jesse shares the thesis behind starting Decagon, why he sees customer support as the ideal entry point for agentic technology, and what areas of AI excite him most. They also discuss voice-based interfaces, issues with latency in current capabilities, and the connection between young math olympiad communities and today’s AI startups.

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Show Notes:

0:00 Introduction

0:30 Starting Decagon

3:15 Business impact of adopting agents for customer support and customer ops

8:00 AI infrastructure and models for customer success agents

12:05 Voice-based capabilities and text-to-speech engines

15:00 Combatting latency

16:25 Crossover of math and AI communities

21:12 Exciting areas of AI

25:29 Strengths and weaknesses of agents

In this episode of No Priors, Dmitri Dolgov, Co-CEO of Waymo, joins Sarah and Elad to explore the evolution and advancements of Waymo's self-driving technology from its inception at Google to its current real-world deployment. Dmitri also shares insights into the technological breakthroughs and complexities of achieving full autonomy, the design innovations of Waymo’s sixth generation driverless cars, and the broader applications of Waymo’s advanced technology. They also discuss Waymo's strategic approach to scaling amidst regulation, deployment in cities like Phoenix and San Francisco, and the transformative potential of autonomous driving on car ownership and urban infrastructure.

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Shownotes:

00:00 Introduction

00:15 History of Self-Driving at Google

00:29 DARPA Challenges and Early Involvement

01:39 Formation of Waymo

01:53 Industry Lineage and Early Skepticism

03:05 Initial Goals and Milestones

4:33 Pivot to Full Autonomy

04:50 Scaling and Deployment

05:29 Generational Breakthroughs

06:59 Choosing Deployment Cities

09:26 Technological Advancements

11:01 Evaluating Safety

14:41 Regulatory Stance and Trust

16:52 Future of Autonomous Driving

23:19 Business Strategy and Partnerships

26:06 Changing Urban Mobility Trends

26:40 Challenges and Misconceptions in Self-Driving Timelines

28:43 The Role of Traditional OEMs in an Autonomous Future

30:54 Designing Cars for Autonomous Ride-Hailing

33:42 Scaling Responsibly

35:18 Generalizability and Future Applications of AI

37:10 The Complexity of Achieving Full Autonomy

42:58 The Importance of Data and Iteration in AI Development

46:13 Reflecting on the Journey and Future of Waymo

Humans are always doing work that is dull or dangerous. Brett Adcock, the founder and CEO of Figure AI, wants to build a fleet of robots that can do everything from work in a factory or warehouse to folding your laundry in the home. Today on No Priors, Sarah got the chance to talk with Brett about how a company that is only 21 months old has already built humanoid robots that not only walk the walk by performing tasks like item retrieval and making a cup of coffee but they also talk the talk through speech to speech reasoning.

In this episode, Brett and Sarah discuss why right now is the correct time to build a fleet of AI robots and how implementation in industrial settings will be a stepping stone into AI robots coming into the home. They also get into how Brett built a team of world class engineers, commercial partnerships with BMW and OpenAI that are accelerating their growth, and the plan to achieve social acceptance for AI robots.

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Show Notes:

(0:00) Brett’s background

(3:09) Figure AI Thesis

(5:51) The argument for humanoid robots

(7:36) Figure AI public demos

(12:38) Mitigating risk factors

(15:20) Designing the org chart and finding the team

(16:38) Deployment timeline

(20:41) Build vs buy and vertical integration

(23:04) Product management at Figure

(28:37) Corporate partnerships

(31:58) Humans at home

(33:38) Social acceptance

(35:41) AGI vs the robots

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

Today on No Priors, Sarah sits down with Elias Torres, CEO and founder of Agency, an AI agent for customer success teams. Elias shares his journey from growing up in Nicaragua to founding several companies, leading engineering at HubSpot, and selling Drift for $1B. He also discusses his work consulting with OpenAI in 2022, which deepened his understanding of the business opportunity LLMs presented and inspired him to start Agency. In this episode, Elias offers a unique perspective on the future of AI and customer success, explaining how current software has fallen short and his vision for a new generation where customers have direct relationships, spend less time on tasks, and have software working invisibly on their behalf. They also discuss the evolving landscape of hiring as teams shrink, and Elias reveals his ambitious plan to reach $1B in revenue with fewer than 100 employees.

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Show notes:

0:00 Introduction

0:34 Elias’ journey to entrepreneurship

2:36 Growing HubSpot to IPO and founding Drift

6:19 Consulting with OpenAI, learning about LLMs, and diving into AI

9:35 Founding Agency to focus on customer success and AI-driven solutions

11:40 What will a customer experience look like in 5 years?

15:48 Company building in an era of AI, as a 5th time founder

18:32 Reducing headcount while raising the bar on hiring

20:35 Key challenges in building Agency and crafting a standout product

23:06 Addressing software flaws and transitioning to an era of intuitive, self-operating solutions

26:27 Timeline for the next-gen software revolution + the power of building from first principles