Coding Challenge for Generative AI, Part 4: HuggingChat

This post extends the series of code interpretation challenges for Generative AI for the new Generative AI Chat service HuggingChat from HuggingFace. They didn't announce any particular support for coding or code interpretation, but I figured it would be interesting to see how it did on day 1. Previous parts in the series gave the … Continue reading Coding Challenge for Generative AI, Part 4: HuggingChat

Coding Challenge for Generative AI, Part 3: Google Bard

This post continues the series of coding challenges to Generative AI technologies by putting the challenge to Google's Bard service, after Google announced adding the ability to Bard for it to code. Part 1 of the series looked at the performance of the GPT-3.5 model and part 2 looked at the performance of the GPT-4 … Continue reading Coding Challenge for Generative AI, Part 3: Google Bard

Coding Challenge for Generative AI, Part 2: GPT-4

This continues the theme from Part 1 where I explored how ChatGPT with the GPT-3.5 model would do with a code interpretation challenge. It was somewhat impressive, but with obvious shortcomings. So how did the GPT-4 model do? Session Start What will be the result?c = [False if int(i) % 2 != 0 else True … Continue reading Coding Challenge for Generative AI, Part 2: GPT-4

Coding Challenge for Generative AI, Part 1: GPT-3.5

I've used coding challenges in the past as part of the hiring process, so why not throw one at the first generation of potentially useful Generative AI and judge how it does? I happened on a simple challenge that someone had posted at work in a Slack channel for people learning Python that is both … Continue reading Coding Challenge for Generative AI, Part 1: GPT-3.5

Thinking about Techies and Normals 10 years on

It’s been 10 years since Chris Dixon’s post on “Techies and normals” described a few ways products can penetrate markets (in order of preference): Techies-first, Normals-only, and Techies-only. Enough has changed in the last 10 years that I think it’s time to think about it differently if you’re looking at maximizing the market for a … Continue reading Thinking about Techies and Normals 10 years on

Being a Founder in the Best Time for Consumers

Reading Jerry Neumann’s post The Deployment Age four years ago has really stuck with me, probably because I can track my career through working on technology that feels like they moved through the transition that the Perez model describes. This post will (hopefully, and maybe only) make sense if you’ve read Jerry’s post, so I … Continue reading Being a Founder in the Best Time for Consumers