Dharmesh Shah explains how generative AI can write code from natural-language descriptions. Beyond text-to-text and text-to-image models, text-to-code is the overlooked third use case that excites him and Bill Gates as transformative for programming's future.
What excites you about this generative AI thing? Most of the discussions around generative AI are around kind of the generation of either text-to-text that says, oh, write me a blog post of 300 words on this particular topic, or it's text-to-image. Let's use DALL-E 2 or Midjourney or Stable Diffusion or something like that, which are great use cases. But there's a third use case that almost nobody talks about, which is the ability to go from text to code. And so what happens there is to say, okay, and What this leads to is the thing that Bill Gates is excited about, I'm excited about, is that you can take a natural language prompt that describes something and then generate code that does that thing.
Is SaaS really dead? Dharmesh Shah from HubSpot on AI, Vibe-Coding & the Future of Work
Agents, Metaprompting and Tech-powered Parenting with HubSpot CTO Dharmesh Shah
