What is ChatGPT? How does it work? Is it going to steal your job? Here’s everything you need to know about ChatGPT and what it means for the digital landscape…

Key Takeaways

ChatGPT is a chatbot developed by OpenAI, using Generative Pre-trained Transformer (GPT) technology based on deep learning models.
It uses natural language understanding to parse through queries and its own internal databases in order to deliver answers quickly and efficiently.
In addition, it can access third-party data sources such as databases, APIs, and webpages for more detailed responses.
ChatGPT can write blogs posts; song lyrics; outlines for essays/marketing briefs/articles/research papers etc.; debug code; develop WordPress plugins & scripts in coding languages; explain complex topics like Quantum Physics in easy-to-understand language; solve math problems of any complexity & provide relationship advice among other things.
GTP4 will be the next build of ChatGPT with 100 trillion parameters compared to 175 billion parameters currently available with GTP3.5 iteration which will make it smarter than ever before along with improved Natural Language Processing capabilities offering customers more natural interactions & enhanced conversational flow analysis plus facial recognition technology to analyse customer emotions accordingly

On April 24, 1826, a riot broke out in Lancashire, England.

The protest was a huge event that saw property damaged, factories destroyed, and people injured.

In total, 20 people were apparently arrested. And the cause of this particular riot? Technology.

More specifically, technical innovation.

Up until 1826, all loom work was done by hand; people worked in factories and mills in awful conditions for horrendous pay.

But the advent of a new machine, the power-loom, which was more efficient than the old method, had the potential to destroy their livelihoods, grim as they were, so the workers protested.

Technical innovations, if they’re big enough and disruptive enough, have a habit of putting the fear of god in a man’s heart.

And this, in a round about way, is where we’re at now with ChatGPT, the new conversational AI from Open AI.

The internet is awash with speculation about what it means for the web, for education, for the arts, even for the legal industry.

I haven’t seen hysteria like this since COVID first kicked off.

People are worried about kids using it cheat on essays and college papers;
Journalists are worried it will steal their work;
Novelists are concerned that, pretty soon, without checks and balances, we’ll all be reading novels and non-fiction books written by machines. And Google is worried it will destroy its entire business model.

But are these worries warranted?

Is ChatGPT going to drink your milkshake, eat your cake, and leave you, along with Google and the entire education system, destitute on the street, living out of a cardboard box? Let’s find out.

But first, it’s probably prudent to give you a quick overview of what ChatGPT is and how it came to be before we look into what it can actually do and whether or not it will destroy millions of jobs inside the next 12-24 months.

What is ChatGPT?

In its most basic form, ChatGPT is a chat bot. You ask it questions and it gives you answers. That’s its most basic functionality. And it’s where it gets its name from: chat generative pre-trained transformer (ChatGPT).

Work on AI tech like ChatGPT has been underway for decades, but it was only recently that OpenAI, the company behind ChatGPT, achieved a level of performance that was fit for public usage.

ChatGPT was developed using something called Generative Pre-trained Transformer (GPT) technology.

TIP: Learn These 300+ Basic ChatGPT Prompts To 10X Your Output

This technology is based on a deep learning model, whereby the AI is trained by human testers AND plugged into myriad feeds of data, with the end goal being the creation of a mind of sorts that can process information and deliver answers quickly and efficiently.

What is A Generative Pre-Trained Transformer?

Generative Pre-trained Transformer (GPT) technology uses deep learning models and special algorithms to understand what people say and answer them accurately.

More specifically:

A Generative Pre-Trained Transformer (GPT) is a language model relying on deep learning that can generate human-like texts based on a given text-based input. A user “feeds” the model with a sentence, and the transformer creates coherent paragraph-based information extracted from publicly available datasets.

ChatGPT uses a combination of data from its own knowledge base, as well as external sources to generate its responses.

The AI platform uses natural language understanding to parse through queries and its own, robust and ever-evolving internal databases, in order to deliver its answers. And its answers, for the most part, are usually pretty damn impressive.

Where Does ChatGPT Get Its Information From?

ChatGPT can also access third-party data sources such as databases, APIs, and webpages to generate more detailed responses.

This is important.

And it is why Google and publishers are so worried.

Because ChatGPT can access the web and other APIs, it is effectively “using” content available online to power itself without giving proper citations.

And this is a problem for Google, for publishers, and for anyone that works in online media.

And this is why companies like Google are starting to get worried about ChatGPT – it represents a direct threat to its entire search business.

What Can ChatGPT Do?

If you’ve never interacted with an AI before or are only just discovering what’s possible with natural language processing and conversational AI, using ChatGPT might just blow your mind a little.

Here’s a quick breakdown on some of things ChatGPT can currently do:

ChatGPT can write blogs posts
ChatGPT can write song lyrics
ChatGPT can write outlines for essays, marketing briefs, articles, research papers, content briefs
ChatGPT can write and debug code, develop WordPress plugins, and write scripts in all modern coding languages
ChatGPT can write scripts for devices like Google Nest
ChatGPT can explain complex topics like Quantum Physics in easy-to-understand language
ChatGPT can solve math problems, regardless of how complex they are
ChatGPT can give relationship advice
ChatGPT can write essays on nearly any subject
ChatGPT can be used inside third-party applications like Jasper, the AI writing tool for bloggers.

Scared yet?

Keep in mind, the list about is just the tip of the iceberg; ChatGPT is developing and learning constantly, so what it can do now will pale in comparison to what it can do in 2024 and 2030.

Providing, that is, OpenAI can stay on top of its rapidly escalating operating costs.

GPT4 is Coming Soon Too…

OpenAI is constantly developing and evolving the technology that makes ChatGPT possible. Currently, the latest build of ChatGPT is GPT-3.5 but work is now well underway on GPT4.

And GPT4 is shaping up to be a massive update over the existing GPT 3.5 framework. Currently, ChatGPT can access 175 billion parameters; these are inputs that it uses to understand and answer queries. But with GPT4 the number of parameters will increase to 100 trillion.

READ MORE: Does Apple Have Its Own Version Of ChatGPT?

GPT-3.5 vs GPT4 – Big Changes Are Coming

Obviously, the implications of this are enormous; the more parameters ChatGPT can access the smarter it will be; and the more parameters it has at its disposal, the faster it will be able to process information and perform tasks.

Beyond this, OpenAI has confirmed that GPT4 will also possess the following new abilities that are not present on the current GPT-3.5 iteration:

Improved Natural Language Processing, allowing for more accurate interpretation of customer queries
Increased conversational accuracy, providing customers with more natural and engaging interactions
Enhanced conversational flow and analysis, making it easier to respond to customer queries in an appropriate manner
Built-in facial recognition technology to analyse customer emotions and adjust conversation flow accordingly.

And that’s just inside the next 12 months. Imagine what ChatGPT will be capable of in a decade’s time?

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Step-by-step instructions for using ChatGPT for a wide range of tasks, from writing assistance to medical diagnosis to financial forecasting
Real-life examples of how ChatGPT is being used in various industries and fields, such as customer service, healthcare, and education
Tips for optimizing interactions with ChatGPT and improving its responses
Best practices for maintaining privacy and security when using ChatGPT
Potential ethical concerns surrounding the use of language models and how to mitigate them
Discussion of the advantages and disadvantages of using ChatGPT
Potential advancements and improvements for ChatGPT in the future
Explanation of ongoing research and development in the field of language models
Possible implications for the future of work and society as a whole.