Why ChatGPT Is Taking The Internet By Storm

Imagine if Siri could write you a long essay or any other system was able to spit out a movie review in the style of poems.

The options are endless. OpenAI gave the public access to ChatGPT which does exactly this. The system has the ability to interact with users in an almost real-life manner through language processing tasks such as text generation and language translation.

The tool quickly went viral with its many natural language processing tasks and people quickly started using it across all industries. Users became transfixed by its abilities, and it quickly spread across multiple industries. But the language processing model also brought up a lot of fears. The outrage was triggered by concerns of redundancy on the part of people whose employment requires the ability to write workmanlike content. As the machine is able to mimic human-like conversation and text, one can only imagine how it could take over industries with ease. But before analyzing these concerns and the possibility of industry takeovers, it is important to understand the Nature of ChatGPT, what technology it offers, and how it is applied.

ChatGPT can be used for a wide range of natural language processing tasks. Some of which are:

Language translation: If provided with a text prompt in one language and by specifying the target language, the model can generate accurate and fluent translations of the text.

Text Generation: Generates human-like text responses to prompts. This can be useful for customer service or generating responses to online forums or even creating social media posts for marketing purposes. The options are limitless.

Text summarization: When given, the processing system is able to summarize long texts or documents.

Sentiment analysis: ChatGPT is even able to analyze a text and determine the overall tone and emotion of the piece of writing.

Overall, ChatGPT can be used for many language-processing tasks. The specific applications of the model will depend on the needs and goals of the user.

GPT-3

ChatGPT is based on the GPT-3 architecture, which is a model that uses self-attention mechanisms to process and generate text. As of early 2021, GPT-3 is the largest neural network ever produced. As a result, GPT-3 is better than any prior model for producing text that is convincing enough to seem human. However, there are limits to the system. Even though it is powerful, its biggest issue is that it is not consistently learning. It is pre-trained and doesn’t have an ongoing long-term memory that learns from each interaction made. There is also a lack of the systems' ability to explain and interpret why certain inputs result in specific outputs.

There are further concerns about GPT-3 revolving around machine learning bias. Since the model is trained to observe internet text, it similarly exhibits many human biases that are shown in online text. This can lead to texts and discourses being predominantly linked to theorists or even white supremacists. This indicates that the system can be abused and used to create hate speech, or fake news articles which can take the media by storm and cause distress.

ChatGPT disrupting industries

New AI systems such as ChatGPT consistently create disruption in several industries. The key to adjusting is figuring out how to redesign our economic systems to fully engage these systems and the working population. We may soon have machines that can take over the work of writing out ideas fully. This will enable millions of people to now write well and upskill themselves. But in retrospect, it also calls for change and industries have no choice but to adjust to these rapid changes.

These recent advances in AI will surely usher in a period of hardship and economic pain for some whose jobs are directly impacted and who find it hard to adapt — what economists euphemistically call “adjustment costs.” However, the forward march of technology will continue, and we must harness the new capabilities to benefit society. To do so, we must ask what new systems can be built with these new tools and how can we implement them.

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