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Lyt når som helst, hvor som helst 

Benedict Evans

Toni Cowan-Brown

If you're looking for another over-scripted and edited podcast, this is not it. But if you want to listen to honest and unfiltered discussions about the latest in tech and its impact on society, welcome, you have come to the right place.

This is Another Podcast where two friends and colleagues discuss their overlapping experiences and perspectives on what happens in technology. We might know some of the same things, yet we also have different backgrounds and expertise, or at least, we ask different questions. 

Benedict Evans has worked in equity research, strategy and venture capital and owns lots of old phones; Toni Cowan-Brown works at the intersection of tech, policy and politics.

Another Podcast

For the past decade, Benedict has given an annual presentation on the state of technology, and he did the latest at Slush in Helsinki last month. In this episode we discuss some of the challenges and issues that he tried to cover.

 

You can find the full presentation here - https://www.ben-evans.com/presentations

Ai eats the world

It's easy to say what tech companies want from AI, but much harder to talk about the product strategy - they're all pretty much the same. "Just build a better model!" Where does that go? Can they differentiate? What would it mean to differentiate a product that can do 'everything' - what would different everythings be?

Looking for AI strategies

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Is Europe a market?

What the Apple and Facebook events tell us about their product cycles

Amazon and eCommerce

How do you destroy a tech monopoly?

Is content moderation a dead end?

The paradox of Apple

Benedict and Toni discuss how ecommerce shot up in lockdown and what habits may be sticking.

Ecommerce charts: Link

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The acceleration of ecommerce habits

Benedict and Toni talk about Formula 1 and 50s experimental aircraft, and how they overlap in interesting ways with technology, innovation, and creation.

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F1 - the plane that never takes off

Generative AI is the thing, and all new software will be built around it. But while everyone is experimenting and some people are getting huge value out of ChatGPT or Midjourney right now, others haven't worked out how to make it useful. Yet. So how do we find use-cases for a universal, general purpose, magical technology, and is that a crazy question?

Looking for AI use-cases

Lyt når som helst, hvor som helst

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