ChatGPT crosses 1 million users in its first week- This Week in AI

This week in AI we have stories about ChatGPT taking the internet by storm and crossing 1 million users in its first week.

a year ago • 3 min read

By Peter Foy

This week in AI the big news is...you guessed it: ChatGPT.

ChatGPT hits 1 million users in its first week

This week in AI, ChatGPT, the prototype AI chatbot developed by OpenAI, has been making headlines and taking social by storm as it hits 1+ million users in its first week.

Crossing 1 million users in the first week, this chatbot is undoubtedly one of the major milestones & turning points in mainstream consumer usage of AI and large language models...

ChatGPT launched on wednesday. today it crossed 1 million users!
— Sam Altman (@sama) December 5, 2022

Elon also asked what the average cost per user is, Sam responded:

...average is probably single-digits cents per chat; trying to figure out more precisely and also how we can optimize it.

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What is ChatGPT?

From our article on What is ChatGPT? (and of course, partially summarized by ChatGPT):

ChatGPT is a prototype AI chatbot developed by OpenAI
It has the ability to understand natural human language and generate detailed human-like written text

Uses of ChatGPT

It has been hailed as a potential rival to Google, capable of providing detailed answers to complex queries
Some potential real-world uses for ChatGPT include generating website content and responding to customer inquiries

ChatGPT has crossed 1M+ users in just 5 days.

To compare, it took Netflix 41 months, FB - 10 months, and Instagram - 2.5 months.

But many haven’t yet realized its full potential.

Here are the 10 mindblowing things you can do using it right now:
— Aleksandr Volodarsky 🇺🇦 (@volodarik) December 8, 2022

How does ChatGPT work?

ChatGPT has been trained on a vast corpus of internet text and uses reinforcement learning from human feedback (RLHF)
ChatGPT is a Large Language Model (LLM), which is a class of AI model trained on a large dataset of text data
LLMs are commonly used for natural language processing tasks such as language translation and text generation
ChatGPT is an iteration of the GPT family of text-generating AI models
It was fine-tuned from a model in the GPT-3.5 series, which completed training in early 2022

Limitations of ChatGPT

ChatGPT's knowledge base only extends up until 2021, which means it may be unable to answer certain queries
It has been known to produce incorrect or nonsensical responses, and may present misinformation as factual

What is prompt engineering?

To improve its performance, ChatGPT uses techniques such as prompt engineering and zero-shot learning
Prompt engineering involves carefully designing input prompts for the chatbot to increase the likelihood of accurate responses
Zero-shot learning involves training the chatbot to generate responses to inputs it has never seen before

Despite its limitations, ChatGPT undoubtedly has the potential to revolutionize the field of artificial intelligence and change the way us mere mortals interact with machines.

Here are a few other great articles about ChatGPT this week:

Nobody is prepared for how AI will transform academia.

As ChatGPT (built on GPT-3.5 architecture) continues to make waves across the globe, OpenAI has subtly launched the second version of Whisper, an open-sourced multilingual speech recognition model.

Amid ChatGPT Hype, OpenAI Silently Releases Second Version of Whisper

This new model is trained for more EPOCHs with regularisation and shows improved performance compared to the previous version.