ChatGPT and the rise of the machine

In case you missed it over the break, ChatGPT from OpenAI just blew up the internet.

Launched via a Tweet on November 30th last year, ChatGPT is a chatbot built on top of OpenAI's GPT-3 family of language models. It takes text as an input and transforms into what it predicts will be the most useful output.

Although there are already a number of beta state applications out in the marketplace that leverage GPT-3, ChatGPT provides a conversational interface that is super accessible and easy to use.

Here's an example of how it can be used to write code, and improve over multiple iterations with simple user feedback.

It's not quite ready to take over the world, it uses a predictive model and it can make mistakes. But it doesn't take much vision to see where things are headed and if you're looking for a tool to help 2X your productivity in the short-term, it may surprise you.


There are currently significant opportunities to build solutions on top of OpenAI models such as GPT-3 for natural language tasks, Codex for converting natural language to code, and DALL-E for creating and editing original images, as well as alternative models such as Stable Diffusion.

Tome allows users to create AI-powered presentations using text input to create both an outline, body copy, and images with a seamless integration to the OpenAI models. is an artificial intelligence tool that helps users generate written content, such as blog posts, product descriptions, and social media posts. It uses natural language processing and machine learning algorithms to analyze the user's input and generate written text that is similar in style and tone. The tool allows users to generate written content quickly and efficiently, without the need for manual writing or editing.

Microsoft Designer builds on the existing Designer feature in PowerPoint. It leverages the DALL∙E 2 technology by OpenAI, which uses cutting-edge machine learning models to general digital images from natural language descriptions.

Where are we headed?

Artificial intelligence (AI) has come a long way in recent years, and the development of language models like GPT-3 has played a significant role in this progress.

Language models like GPT-3 are able to understand the context and meaning of human language, and generate text that is almost indistinguishable from that written by a human. This has led to a wide range of applications, such as chatbots, automated writing, and text summarisation.

Depending on who you speak with, one of the most exciting (or frightening) developments is the potential for AI to become more human-like in its thinking and decision-making. With the help of language models like GPT-3, AI may be able to learn from large amounts of data and come to its own conclusions, rather than relying on pre-programmed rules. This could lead to the development of AI that is able to think and reason like humans, and may even have the ability to learn and improve on its own.

The development of language models like GPT-3 has had a significant impact on the current and future states of AI. With the ability to understand and generate natural language, and perform tasks that were previously thought to be the exclusive domain of humans, AI is becoming more human-like in its thinking and decision-making. And with the potential for AI to be integrated into more areas of our lives, the future looks bright for the possibilities of artificial intelligence.

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