AI is great at making things up (and very quickly, in large quantities). Crypto excels at verifying what's real. How can the two technologies complement one another? Former Coinbase CTO Balaji Srinivasan believes crypto can be an accelerant to AI development and adoption in finance, employment, government, and more by providing "proof of human" verification through open blockchain and open backends that can be indexed. Along the way, he says, this pairing of technologies can create jobs, mitigate AI's damage to the public web (in the form of excess spam and corrupted training data), and help democratize disciplines such as science and journalism.
You can read a transcript of this interview here: https://productledaipod.com/podcasts/is-crypto-an-ai-accelerant/
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1:02:18
Mustafa Suleyman on Defining Intelligence
Getting AI to do what we want it to comes down to understanding how intelligence actually works. AI pioneer Mustafa Suleyman has been at the forefront of the technology through several major leaps forward, and believes we're getting very close to the day where AI fades into the background as it intelligently powers nearly everything we do on computers. Now the CEO of Microsoft AI, Suleyman has had a long and impactful career that includes co-founding DeepMind, serving as Google’s VP of AI Policy and Products, and co-founding Inflection.
You can read a transcript of this interview on https://productledaipod.com/
You can watch the video of this interview on YouTube here: https://youtu.be/cNzRviY4Ei8
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34:41
What are AI Friends For?
While most other AI chat interfaces today are aimed at saving humans time, Replika is designed for the opposite. As one of the first AI "friends", the chatbot is designed for humans to spend quality time with, having meaningful conversations and fostering deep connections. When Eugenia Kuyda founded the company in 2017, she figured Replika would be one of many choices people would have for AI friends. Years later, they are one of the only ones available. As AI chat interfaces become more sophisticated and take on more use cases, how does Replika stay competitive while staying true to its north star of increasing human happiness?
You can read the transcript of this interview on https://productledaipod.com/
You can watch the video of this interview on YouTube here: https://youtu.be/1Y5erz0OH-o
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27:14
Reinventing Distributed Commerce with AI
Guest episode hosted by Greylock partner Saam Motamedi. Just as app tracking transparency rules shut the door on targeted ads, AI opened up new channels of customer engagement and personalization. Fermat is built on the convergence of those two paradigm shifts. The company provides AI-powered tooling and infrastructure for distributed commerce businesses to thrive in the post-ATT world. This episode originally appeared on Greymatter.
You can read the transcript from this interview at https://productledaipod.com/
You can watch the video of this interview at https://youtu.be/Zh-rlx1RjUY?si=V9oZZx-1ejbWoRKs
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33:40
Perplexity's Aravind Srinivas on Disrupting Search with AI
Our questions deserve more than the handful of blue links we’ve all come to expect from search engines. AI has made it possible to receive detailed, cohesive, and personalized answers to almost anything we want to ask. Perplexity CEO Aravind Srinivas breaks down how his company built the “answer engine” that is disrupting search. Srinivas believes that AI will fundamentally transform the nature of search – from establishing a hierarchy of information quality and disrupting business models to teaching humans how to ask better questions. It’s the startup’s flexibility with experimentation and its focus on curating a search index specifically for AI chatbot use cases that gives Perplexity an edge over even the strongest of incumbents.
You can read the transcript of this interview and find more about the series at productledaipod.com
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How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
Netherlands