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/ Learn more about your ad choices. Visit megaphone.fm/adchoices

AI pioneer Mustafa Suleyman discusses defining intelligence, specialized vs. general-purpose systems in deep learning, improving model performance and data collection, and the future of AI products at Microsoft.

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 Learn more about your ad choices. Visit megaphone.fm/adchoices

The podcast discusses the impact of AI on distributed commerce in the post-ATT world, focusing on personalized customer engagement and new channels of interaction. It explores the evolution of the e-commerce landscape, success stories of customers using AI tooling, the importance of AI in enhancing customer journeys, and envisions a future of personalized AI-driven commerce.

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 Learn more about your ad choices. Visit megaphone.fm/adchoices

Jared Spataro from Microsoft discusses their AI strategy, Copilot impact on enterprise orgs, future with AI agents, and startup opportunities. Topics include Copilot evolution, Microsoft as a platform for innovation, AI-enabled email in Outlook, and challenges in AI model development and orchestration. The conversation also touches on the evolution of autonomous agents in AI and their future capabilities.

Adept CEO and co-founder David Luan has been riding the LLM wave since the early days of the modern AI boom: an early OpenAI employee, he led the company’s engineering team before serving as the tech lead for Google Brain’s work on LLMs. He co-founded Adept in 2022 to develop multimodal agents built to work alongside humans in any profession. Believing computers should work more like humans and not the other way around, Adept has stood out for its human-centric approach to AGI. In this episode, David talks about the moment he realized building a new product (and a startup) was a faster track to AGI; breaks down the frameworks for Adept; and shares his view of a future where AI functions almost invisibly below all software we use. Check out the whole series at productledaipod.com Learn more about your ad choices. Visit megaphone.fm/adchoices

How could AI be the catalyst for the next wave of iconic networks? It helps to remember that regardless of the platform shift that gives rise to a new breed of networks, there are various components that must come together for them to actually work. From LinkedIn and Meta to Airbnb and TikTok, the fundamentals are the same: clear value proposition, compounding growth and engagement loops, and a strategy to leverage the new tech to drive it forward. Greylock partner, AI visionary, and renowned network-builder Reid Hoffman shares his thoughts on AI’s potential to fuel the next generation. Additionally, Hoffman weighs in on the broad opportunities for AI startups building in the application layer.You can watch the video from this interview on YouTube and find more about this episode on the series website productledaipod.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Greylock investor Seth Rosenberg interviews Ramp CEO Eric Glyman about incorporating AI into the fintech platform, saving 10 million hours and $1 billion. They discuss AI's impact on knowledge work, efficiency, and the future of AI-enhanced productivity in finance.