002: Found in Translation
Play • 37 min

There’s a clear opportunity for new applications of AI that solve common problems. Join hosts Phil Libin, Jessica Collier, and Blaise Zerega for a discussion about practical AI products and why it's possible for small teams to build them. Listen as Phil uses a Pocketalk translation device in Osaka and shares sounds gathered while riding Japan Railways. Your hosts answer listener questions about big tech companies and data sets, why there’s plenty of room for startups, and they assess the current state of chatbots. They also share their everyday encounters with practical AI — from language translation to hands-free driving to remembering things.

Show notes

Watch trailer for Lost in Translation

Listen to Japan Railways jingles

Meet Noriyuki “Nori” Matsuda, SourceNext CEO

Pocketalk, SourceNext Releases 50 Languages Translation Device

The Pocketalk device in the wild: 

The babel fish from Hitchhiker’s Guide to the Galaxy

Amara’s Law: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.”

Average tenure of employees at 10 biggest tech companies


Listener questions

With large tech companies being so active in AI, is there any room for startups? (11:15)

Is it easier to build an AI company with great data and a mediocre team or vice versa? (15:45)

What industry will be a big player/acquirer of AI in next two years? (16:26)

Chatbots were formerly all the rage, are we now in the trough of disillusionment? (23:02)

Everyday interactions with practical AI

English-Japanese translation, and Russian, too (27:51)

Google Assistant 1, Siri 0 (31:02)

Lost your photographic memory? There’s a bot for that  (32:30)


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