
Kevin P. Taylor
7.7K posts

Kevin P. Taylor
@ktaylor
Entrepreneurship prof studying early-stage founders. Previously built software and startups. #rstats. https://t.co/1kSKc4mApw










In the coming weeks, we plan to start testing ads in ChatGPT free and Go tiers. We’re sharing our principles early on how we’ll approach ads–guided by putting user trust and transparency first as we work to make AI accessible to everyone. What matters most: - Responses in ChatGPT will not be influenced by ads. - Ads are always separate and clearly labeled. - Your conversations are private from advertisers. - Plus, Pro, Business, and Enterprise tiers will not have ads.





Claude Code and its ilk are coming for the study of politics like a freight train. A single academic is going to be able to write thousands of empirical papers (especially survey experiments or LLM experiments) per year. Claude Code can already essentially one-shot a full AJPS-style survey experiment paper (with access to Prolific API). We'll need to find new ways of organizing and disseminating political science research in the very near future for this deluge.



I'll say the quiet parts out loud: A lot of AI companies that raised $10M, $50M, even $250M+ have SERIOUS churn problems. A lot of AI products get tried because they’re the cool new thing. People sign up, poke around, feel the wow moment, tell a friend, maybe even pay for a month or two. Then real life kicks in and the subscription quietly gets canceled 3-6 months later. I call this "vibe revenue". Money that comes from curiosity, novelty, or FOMO rather than a product becoming essential to someone’s workflow. People pay because it’s cool to try, not because they can’t imagine their week without it. The dangerous part is that vibe revenue looks exactly like PMF at first!! Growth curves go up and to the right. Feedback sounds positive. Founders keep saying “this is the worst the models will ever be.” when confronted with churn. If I had a nickel, everytime I heard that! But the truth is better models don’t automatically create habits. They don’t fix shallow integration or give a product staying power. In AI, switching costs are low and alternatives show up weekly. Curiosity can carry revenue longer than it should, especially when capital is plentiful. Some of these companies will keep raising. Many will hit a wall when retention tells the full story. A lot of employees who on paper will think they are millionaires will learn this lesson the hard way. The businesses that survive feel different. They get used on boring days, stressful days, and busy days. They don’t rely on wow moments. They earn a permanent slot in how work actually happens and they'll deserve the valuation, the funding etc. Vibe revenue, it's everywhere. Stay safe out there. Am I wrong?



The current state of education. If we do nothing about it, it's going to get worse.










