86本のエピソード
Another Podcast Benedict Evans, Toni Cowan-Brown
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- テクノロジー
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.
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Looking for AI use-cases
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?
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Tiktok, Apple and Temu
Will the US finally break up Tiktok? Will the EU break up the App Store? And why does Temu want to keep your orders under $800?
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Google Gemini and AI bias
Are there questions that an AI chatbot shouldn't answer? Should it always give the 'right answer'? Are you sure? Google has egg on its face this week, but this isn't easy, and with generative AI, we're going to re-run all the arguments and panics we had over content moderation in the last decade.
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Breaking and remaking media
We’re past peak TV, the charts are curving down, and Hollywood is pretty sure that streaming was a bad idea. On the other hand, music is growing strongly and might even end up bigger than CDs. Why have newspapers, books, movies, TV and music coped so differently with the internet?
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Apple's Vision Pro
Yes, we bought one. What’s it like and what can we say that we didn’t say last summer? What has Apple built, what is it for, what does it mean for Meta, and why does it cost $3,500?
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What's your AI strategy?
Everyone needs an AI strategy (there was an email from the CEO!) but what would that mean? How does a big company work out how to deploy a new technology? How is this the same as every other platform shift, and how might it be different?