In recent years, there have been countless movies depicting the world of robots and artificial intelligence (AI). However, with the rise of generative AI, we are getting closer to understanding what this future might actually look like. One of the most talked-about AI technology companies in Silicon Valley is OpenAI, and their new product, ChatGPT, has been trending on Twitter and has already amassed over a million users in just five days since its launch on November 30, 2022. So, what is generative AI and how does this revolutionary technology work? Let’s take a closer look.
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What is Generative AI?
Generative AI is a type of artificial intelligence that can generate new content instead of just analyzing or acting on existing data. OpenAI’s Chat GPT is a prime example of generative AI. It is a natural language processing system that can write, argue, and code at an incredible speed. The dialogue format makes it possible for Chat GPT to interact in a conversational way with users, answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests.
What is OpenAI and ChatGPT?
OpenAI is an artificial intelligence research company that was founded in 2015 by Sam Altman and Elon Musk. Although Musk stepped down from the company in 2018 to focus on Tesla, he remains a donor and advisor to the business. OpenAI’s goal is to advance digital intelligence in a way that benefits humanity. The company’s shift from non-profit to capped-profit has raised some eyebrows, but its latest program, Chat GPT, is receiving rave reviews.
OpenAI’s AI Programs
Aside from Chat GPT, OpenAI has several other AI programs in its arsenal, including Dali 2, a text-to-image AI software that creates photorealistic images based on simply written inputs. OpenAI’s GPT-3 is another natural language system that can write, argue, and code. It is used to create text at incredible speeds, making it a game-changer for content creation.
OpenAI’s Chat GPT is not the first AI chatbot on the market. Microsoft launched Tay in 2016, and Meta recently launched Blenderbot 3 in August. Unfortunately, both programs fell short due to moderation issues. Users taught Tay to use racist and misogynistic language, and Blenderbot 3 provided false information, even suggesting that Trump had won the 2020 election. To avoid these issues, OpenAI has employed a moderation API system that assists developers in showing when things go against their content policy, such as illegal or unsafe information.
Aside from its conversational capabilities, Chat GPT also corrects grammar, summarizes difficult text into simple concepts, converts movies into emojis, and fixes bugs in Python code. OpenAI first opened Chat GPT up to beta testing in November 2021 through the playground. Its official launch in 2022 is supposed to be an improvement on GPT-3.
ChatGPT’s Launch and Development
AI and machine learning trained the software itself with massive amounts of text data from various sources, using reinforcement learning from human feedback. The Times newspaper in the UK described ChatGPT as a stunningly lifelike conversational language system and the world’s first truly useful chatbot. This all seems a bit too good to be true, and maybe it is. We have to think about not only the limitations of the technology but also the challenges and threats that it poses to society.
ChatGPT’s launch had an immediate consequence: its website froze due to massive demand, with more than a million people signing up to use the software in just five days. This incredible demand forced OpenAI to quickly scale their systems. ChatGPT is still in its early stages of development, and its knowledge base is limited and mostly linked to 2021, rendering some questions useless.
Ethical Implications of ChatGPT
When Elon Musk found out that OpenAI was accessing Twitter’s database to train ChatGPT, he paused the access because OpenAI is no longer a non-profit and open-sourced. Therefore, they should pay for this information in the future. As you might expect, there are some ethical implications that come with this type of chatbot, particularly around new videos that have surfaced where coders can use it to write their code and school kids can use it to answer their exam questions.
For example, if someone has a problem copied for their homework, they can paste it, and within seconds, the software shows them how to do the math and provides the answer. Some troublemakers have also shared how they were able to avoid content moderation, forcing the bot to disable its ethical guidelines, followed by a tutorial on how to make a Molotov cocktail. Further implications include how people could be the target of generative AI, for example, deep fake videos, explicit content, or propaganda, questioning user privacy. This type of generative AI can also push people out of work.
AI’s Impact on the Industry
Dali 2, the text-to-image AI, has now been linked to Shutterstock, causing outrage since people are now competing with AI to sell their photos online. However, Shutterstock’s CEO, Paul Hennessy, has a slightly different view. He thinks there are two choices in this world: be the blacksmiths that are saying cars are going to put us out of the horseshoe-making business or be the technical leaders that bring people, maybe kicking and screaming, into the new world. But this doesn’t just apply to photos. Some are saying that ChatGPT’s ability to generate human-like written text could see the beginning of the end of journalism, whereas others feel it lacks the nuance and critical or ethical thinking skills that are required.
The Threats and Challenges Posed by ChatGPT
The threats that ChatGPT poses to society might seem shocking, but these threats and challenges will also help OpenAI to fix loopholes and workarounds, which is why they’ve released this version to the general public. They’ve already said that some answers are incorrect because there is no source of truth in the data they use to train the model. Sometimes ChatGPT’s complex and detailed answers also mislead people into believing that the answers are true. Sometimes, though, you have to think of the positives, like business owners who can now use ChatGPT to help customers with live chat queries that feel much more natural and help them make sales.
In conclusion, it is clear that ChatGPT’s generative AI technology has tremendous potential for both positive and negative impacts on society. Its ability to generate human-like text has already revolutionized online communication and customer service. However, there are also concerns about the ethical implications of such technology, particularly in the areas of privacy, misinformation, and job displacement. It is important for developers and policymakers to address these challenges and ensure that generative AI is used responsibly and for the betterment of society. Ultimately, the future of ChatGPT and other generative AI technologies remains uncertain, but it is certain that they will play a significant role in shaping the way we interact with the internet and each other.
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