Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss

Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss

Alfred Wahlforss, co-founder and CEO of Listen Labs, is building an AI agent that interviews your customers at a scale no focus group ever could—thousands of voice conversations at once, drawn from an audience of 30 million people. A year after launch, Listen serves hundreds of Fortune 100s to Startups including Microsoft, Google, NBC Universal, P&G, Anthropic, Cursor, and Cognition. Alfred explains the counterintuitive finding underneath it all: people are often more honest with an AI than a human interviewer, opening up to a non-judgmental entity that costs less and never makes them feel rushed. He walks through why interview transcripts—not credit card data or behavioral logs—turn out to be the richest fuel for predicting how customers will behave, how Listen back-tests its simulations to know which questions it can and can't answer, and why 80% of the company's engineering goes into building the right audience. As AGI makes building trivial, Alfred argues the scarce resource becomes knowing what to build. That's the loop Listen wants to own.

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Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Starting a company is hard. Reinventing your company for AI as a public company with quarterly earnings results is even harder. Aaron Levie has pulled off the transition with Box and offers hard-won a...

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Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph

Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph

Most public safety technology companies grow by collecting more data. Peregrine inverted the model: no sensors, no new data, a business built on connecting the data and information cities already own....

1 Syys 52min

Parallel’s Parag Agrawal: Building a New Web for AI Agents

Parallel’s Parag Agrawal: Building a New Web for AI Agents

Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wr...

25 Elo 55min

Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents th...

18 Elo 53min

Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem

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Most people treat biology as a bespoke, messy science. Josh Meier and Matt McPartlon, co-founders of Chai Discovery, treat it as an engineering problem. They make the case that drug design obeys the b...

4 Elo 47min

Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

Jerry Tworek led reasoning at OpenAI, convinced that scaling reinforcement learning was the path to AGI. Rohan Anil co-led Gemini pre-training and built the Shampoo optimizer. Now they've teamed up at...

29 Heinä 49min

Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself

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Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory co-found...

21 Heinä 51min

Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden

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Katelyn Lesse and Angela Jiang lead the team building Anthropic's developer platform - the layer that both outside builders and Anthropic's own products run on top of. Angela frames the platform as a ...

14 Heinä 48min

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