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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OpenAI has all the mindshare and 800m weekly active users, but the models remain commodities and platforms with their own distribution are coming up fast. How will it compete? How will any of this work? How can you differentiate AI?
The AI presentation (00:38:00)
It's time for Benedict's annual Tech Trends presentation. What's new, what's boring, what are the new questions?
A double episode: AI differentiation, and Apple does F1 (00:46:06)
How can billion dollar chatbots differentiate when they're all doing the same thing in the same way?- and -Why is tech into F1, and why is F1 into tech?
Looking for AI strategies (00:27:47)
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?
Ai eats the world (00:42:29)
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
From SAAS software to Formula 1 (00:45:38)
Benedict went from being a consultant to an analyst to having his own business, but in essence, he's always been an analyst. Toni went from policy to consultancy, then from B2B sales to Formula 1. After four years of doing the podcast, we thought it would be interesting to sit down and discuss how we got here and talk all things Formula 1.
Google's Antitrust case (00:37:40)
A quarter century after 'don't be evil', a judge has found that Google is abusing its monopoly in search. But no-one knows what happens next, and whether this ruling will change anything. Will Apple build a search engine? Will ChatGPT change search? Does it matter? There are many more questions than answers.
The AI summer (00:37:40)
As we go into the summer, we know a lot more about generative AI than we did six or nine months ago - or at least, we have better questions.
Looking for AI use-cases (00:31:53)
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?
Tiktok, Apple and Temu (00:34:46)
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?
Google Gemini and AI bias (00:32:29)
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.
Breaking and remaking media (00:39:00)
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?
Apple's Vision Pro (00:30:44)
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?
What's your AI strategy? (00:34:04)
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?
AI and Everything Else (00:35:34)
Every year, Benedict produces a big presentation exploring macro and strategic trends in the tech industry. Here are some of the key takeaways from this year's presentation - AI, and everything else.Presentation - https://www.ben-evans.com/presentations
LLMs, links, and the death of links (00:30:31)
We spent the last 30 years building structures on top or instead of the raw links of the web, from Google to TikTok… but now LLMs might read all the links for us.
Bundling/Unbundling AI (00:37:45)
ChatGPT and LLMs can do anything (or look like they can), so what can you do with them? How do you know? Do we move to chat bots as a magical general-purpose interface, or do we unbundle them back into single-purpose software?
The magic customer (00:58:54)
A conversation with Leonard Brody, Co-Founder and Executive Chairman of Caravan. How do you build brands and consumer products in a world of infinite choice and infinite media? And how does celebrity fit into that? Caravan
Unbundling ChatGPT (00:24:58)
Nine months on, everyone is still trying to understand where ChatGPT will go, but one big question for us: how is this useful, for us, today? What's the product? How does this get unbundled?
Threads (00:42:43)
What is Threads? A Twitter that doesn't suck? Something else? Could it work?
Vision Pro, two weeks on (00:44:44)
Two weeks after Apple showed us the Vision Pro - what have they built, what is it for, what does it mean for Meta, and why does it cost $3,500? Check back in 2025.Apple's product pages (watch some of this if you haven't already).
Apple Vision (00:28:22)
Apple does VR. We watched. We took pictures. We talk about it.
Working out AI questions (00:38:24)
We don't know what generative AI will be (or what will happen next week), but we're starting to work out what questions to ask
Buzzfeed News, Reddit and OpenAI (00:34:09)
Buzzfeed News dies just as Reddit and Stack Overflow say they'll charge LLMs to train on their data. Who owns content and how does distribution work in an LLM age? Are those the right questions? What should we be asking?
Metaverse and crypto - beyond the BS (00:38:53)
Crypto crashed, metaverse was silly, and now we know that generative AI is the future of everything. Right? Well, sort of. But though the hype has moved on, the reasons web3 and VR were interesting haven't really changed.
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