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AI is in a supply crunch today, but what happens when we come out of it? How and where will supply, demand, price, capacity and capex get back into equilibrium? Today, model labs can name their price, but why won’t they end up as low-margin commodity infrastructure?
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ایالات متحده آمریکا
محتوای صریح
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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.co…
It's time for Benedict's annual Tech Trends presentation. What's new, what's boring, what are the new questions?
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?
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?
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 diff…
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به Benedict Evans, Toni Cowan-Brown است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.
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