Dario Amodei & John Collison on the “AI interface problem” John: Doesn’t it feel like we have no AI UIs right now? Like we still enter text into text boxes. We still talk into voice companion modes that are manually triggered, which is the same as pre-transformer Siri” Dario: Yeah, there’s something not quite right about it. I agree with you. It reminds me of the early Internet days, people would make websites that looked like they were from the physical world. Skeuomorphism It feels like there’s some of that going on here. A thing I would say is that as we move more towards agents we’re going to be in a world where the AI model can do something end to end Like we’re almost there with Claude. It can do something end to end and get it right most of the time. And a human’s main job is to kind of check (the AI’s work). But interestingly, checking often means getting really into the details of what happened And so there’s some kind of impedance mismatch here that some (future) product or interface is the solution to. You want something that’s as slick as possible and just goes off and does something. And you don’t want to have to pay attention most of the time. But when something’s wrong, you might actually need to get quite involved. I don’t feel like any products or interfaces operate on this principle or handle this problem now
full pod is worth a listen
John Collison
John Collison6.8. klo 22.34
Anthropic is one of the fastest-growing businesses of all time. @DarioAmodei and I chatted about flying past $5b in ARR, Anthropic's focus on B2B, payback economics of individual models, talent wars, AI market structure, and lots more. And you all said that you all want longer episodes, so this is an hour! Timestamps 00:00 Intro 00:51 What’s it like to start a company with your sibling? 01:43 Building Anthropic with 7 cofounders 02:53 $5 billion in ARR; vertical applications 07:18 Developing a platform-first company 10:09 Working with the DoD 11:13 Proving skeptics wrong about revenue projections 13:14 Capitalistic impulses of AI models 15:44 AI market structure and players 16:56 AI models as standalone P&Ls 20:48 The data wall and styles of learning 22:20 AI talent wars 26:04 Pitching Anthropic’s API business to investors 27:49 Cloud providers vs AI labs 29:06 AI customization and Claude for enterprise 33:01 Dwarkesh’s take on limitations 36:12 19th-century notion of vitalism 37:28 AI in medicine, customer service, and taxes 41:00 How to solve for hallucinations 42:41 The double-standard for AI mistakes 44:14 Evolving from researcher to CEO 46:59 Designing AGI-pilled products 47:57 AI-native UIs 50:10 Model progress and building products 52:23 Open-source models 54:43 Keeping Anthropic AGI-pilled 57:11 AI advancements vs safety regulations 01:02:04 How Dario uses AI
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