ChatGPT vs. Bard vs. HuggingChat vs. BingChat for startup books and front-end code
In this episode of Ventures, I (https://linkedin.com/in/wclittle) compare ChatGPT, Bard, HuggingChat, and BingChat regarding their recommendations for startup books and front-end code for a standard startup landing page. I compare the user experience of each LLM, the limitations of each for these use cases, and show how ChatGPT and Bard seem to be current leaders in these examples.
The Internet of Places :: with Greg Gallimore, Joel Fariss, and Mike Anderson
On this episode of Ventures, my guests Greg Gallimore (Digital Experience Design (DXD) Leader for Gensler’s Northwest region), Joel Fariss (Gensler Strategy Director), and Mike Anderson (CoFounder of Alphi.xyz), and I sat down for a conversation exploring how Web3 will transform the built environment. Physical places are now inextricable from the Internet. Our buildings have become “smart,” collecting, sharing, and applying intelligence to the “user experience” of the built environment. The metaverse has opened the door to entirely immersive virtual experiences of a place. With internet mediated communication, physical proximity is no longer a precondition for access to community and knowledge. What does all this mean for the future of human experience, collaboration, and community? We discuss multiple aspects of this at length in this episode.
Using ChatGPT as a guide to build an example startup: “Text to Startup”
In this episode of Ventures, I (https://www.linkedin.com/in/wclittle) walk through asking ChatGPT how to help me start building a startup called “Text to Startup”. I share my screen and show the live chat session where it not only tells me generally how to build the startup, but - when I prompt it to give me specifics - I’m able to all the way to having it print out Ruby on Rails code and HTML/CSS for a landing page. Along the way, it also gives me specific examples about how to do user testing and it gives me taglines and a 1-paragraph description for the startup, which I used to generate a logo with tailorbrands.com.
Banking woes, Balaji’s bet, mooning BTC, and Midjourney prompts
Product: GPT-4 released today (yes, it is scary smart). Code: React vs. Turbo
In this episode of Ventures, I (https://twitter.com/wclittle) walk through today’s GPT-4 announcement (https://openai.com/product/gpt-4) with a couple of important examples from Twitter (i.e. image-to-HTML/CSS and describing an image). I also introduce a 10-part series that I've written comparing React with Ruby on Rails’ Turbo.
Product: How to train your own LLM with OpenAI. Code: Adding HTML elements to your welcome view
In this episode of Ventures, I (https://www.linkedin.com/in/wclittle) walk through a screencast of how to begin learning how to train your own LLMs (like ChatGPT) to be applicable for your own products and customers. On the coding side of things, I also walk through how to begin adding HTML elements to your welcome page in the Rails app that we spun up together in previous episodes of this series (follow along here: https://satchel.works/@wclittle/product-and-code-series).
Low-Code/No-Code vs. ChatGPT-assisted Ruby on Rails development for new startups
In this episode of Ventures, I (https://www.reddit.com/user/wclittle) discuss both a Reddit conversation I posted recently about Low-Code/No-Code vs. ChatGPT-assisted code-from-scratch, and an overview of the curriculum we’re planning to walk through in our Product and Code cohort (learn more and apply here: https://forms.gle/dtVA1bQ9xATRrPW29). I talk about Rails vs. Bubble, learning with LLMs, and a wide range of web developer topics - from installing necessary software on your computer to caching strategies - that anyone needs to know in order to become a proficient engineer for the modern web.
Learn Product and Code: DNS, WebSockets, and Profile Picture AI
In this episode of Ventures, I (https://www.reddit.com/user/wclittle) continue from last week’s screencast to discuss WebSockets, DNS, and Profile Picture AI. I talk about how you can get involved with the Q1 product and code cohort I’m leading (apply here: https://forms.gle/dtVA1bQ9xATRrPW29), how rare it is to actually be good at “product”, Prota Ventures slack group for investors and entrepreneurs, a deeper dive into how web requests are packed on the server side with Ruby on Rails, and the future of Rails vs. Low-Code/No-Code.
How will ChatGPT disrupt the low-code/no-code movement?
The promise of low-code/no-code is to save a significant amount of time and money when building apps. However, in the "real world" there are no lack of stories of people who tried to execute a MVP build on a no-code/low-code platform and ended up rebuilding it in a modern web development framework. This ended up costing them even more time/money than if they built it from scratch to start.