Collection · AI Builders

Things People Say on Podcasts About AI Builders

People who build with AI: practitioners writing and talking about applied AI engineering, agents, prompt and context engineering, and AI product craft.

Everything worth repeating from the AI Builders shows we follow. Updated every day — free to search and free to use, attribution included on every card.

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“The fundamental, just grumpy narcissism of humans is an incredibly good force when it is applied in an interesting way.” — Paul Ford, The Aboard Podcast “If the constraints aren't there, no one can perceive what you're doing. It's just more slop. That's what slop is. Slop is a slip out of the form that somebody's expecting.” — Paul Ford, The Aboard Podcast “When somebody shows up with something, you go, oh, I kind of see the prompt that you did to do that. You didn't really build a system. You just slopped some words in a box. It's cool output. Good for you... but it doesn't do anything for me.” — Paul Ford, The Aboard Podcast “The minute somebody starts saying you can parallelize this with lots of agents, you know you're in a pickle. Because that means more software, whereas absolutely no one outside of our world is actually sitting there saying, I need more software.” — Paul Ford, The Aboard Podcast “Code got a lot easier, but product did not.” — Paul Ford, The Aboard Podcast “You may think the hard part's behind you because you built something that used to take four months in a day, but it turns out the work is still ahead. Why? Because you're not the only one with that tool. Everybody's got it. And there's another ugly plot twist, which is that tool has absolutely no originality by design.” — Paul Ford, The Aboard Podcast “I say, hey, Claude, I know you know about all the other candle stores. Do me a favor, veer off a little bit, take a swing. And it is like your uncle at karaoke. It is not good.” — Paul Ford, The Aboard Podcast “We just don't care that much about what the machines do. And in some sense, we never have. … We're obsessed with other people. We want to know about the person behind the art or the person behind the company or the idea or the product.” — Sam Altman, AI & I “Teaching people about sycophancy did not reduce the persuasive power of sycophantic chatbots. So even if people knew that a chatbot was being obviously sycophantic, they were still equally persuaded by it. … A lot of these individual level interventions that just put the onus fully on the individual aren't going to work very well. I think that honestly, model changes is probably what we need.” — Steve Rathje, AI and Design “I don't think voice is necessarily low [effort]. It's more like how much information is in the prompt. You can um and uh and add some sentences and be like, oh, actually I changed my mind, in the middle of the prompt, and it will be able to follow that perfectly. … For a lot of people, it's just way easier to talk than to type. And if that gets more information out of you, that's better.” — Thariq Shihipar, Latent Space “It turns out that agents just like dial up all your failure modes. It just multiplies the amplitude of problems you can get…” — Sharadh Krishnamurthy, How I AI “…I've always thought of production as a function of how many other people than the creator can fix and iterate the product.” — Shaun McGirr, Half Stack Data Science “a junior with a really good AI stack is indistinguishable from a mid-level person with a really good AI stack.” — Andy Budd, AI and Design “We are moving to a world of dark product teams where the product team is an AI that does all this for you.” — Andy Budd, AI and Design

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Paul Ford 7 Andy Budd 2 Sharadh Krishnamurthy 1 Steve Rathje 1 Sam Altman 1 Shaun McGirr 1 Thariq Shihipar 1