AI Won’t Replace You, People Using AI Will
I just started learning Rust, a language with a bright future in AI — said Elon Musk. Unlike my past language-learning experiences, this time, I skipped YouTube and O’Reilly books. Instead, I asked ChatGPT for help.
It’s been a breeze because I don’t need to hunt for answers in videos or crawl through endless articles and StackOverflow. ChatGPT gives me quick and clear answers, sometimes with examples too.
Without a doubt, the impact of AI is inevitable, and it’s becoming increasingly evident. With the rise of LLMs, a deep learning algorithm that can generate human-like responses to a wide range of topics and the increasing capabilities of AI technologies, the question of whether AI can completely replace the role of human is becoming more pressing.
AI is your new king
It’s not just a matter of months; it’s now a matter of weeks. Every week, the tech news is buzzing with announcements about individuals or companies launching their own AI models. Over the past two weeks alone, I’ve counted at least 10 new models, whether they’re fine-tuned versions or created from scratch.
The thing is, AI is developing rapidly, yet many people still don’t truly understand its future impact or its applications. Some even deny its potential, saying that AI can’t replace humans or that it lacks emotions and can only generate dull content. If you align with these statements, you may have an entirely wrong perspective.
If you think the content generated by ChatGPT appears dull or bland, it’s likely because you didn’t put effort into writing a good prompt. Crafting a well-structured and specific prompt is key to obtaining meaningful results.
It’s also important to note that currently, there’s no reliable method for distinguishing between AI-generated and human-generated content. There’s no such tool right now that can identify plagiarism. Even OpenAI recently discontinued its content detection tool due to its low accuracy. If even OpenAI, a big player in AI, had trouble with this, it suggests that no one else can solve it too.
Many of those who remain skeptical about AI likely don’t have a solid grasp of the technology behind Artificial Generative Intelligence (AGI). This is why AGI tends to be more advantageous for those with intermediate knowledge, specifically individuals who understand the technology and can use it as a powerful tool, or even a cyber weapon.
Soon, everybody will realize it would be so hard to not accept AI as the innovation, especially when companies increasingly utilize AI to boost productivity and creativity, all while reducing costs. People without AGI knowledge will find themselves struggling, making it challenging to secure employment, as most companies seek distinctive and beneficial solutions, with AI emerging as the current answer.
This is the tough reality of living in a world where AI is the new king in the business. So, how can we survive from this harsh reality? The solution lies in adapting to the new environment. It won’t be easy, but it’s not impossible either. It’s a survival game, where only the most adaptable and resourceful individuals will survive.
AI is your new friend/assistant
As the saying goes, the initial step to thrive in this challenging reality is adapting to the new environment. We can’t keep in denial for AI and looking it as some kind of drugs or something. Instead, as the beginners, we can start looking it as the tools to boost productivity and enhance creativity. Make AI as our new assistant.
In February 2023, Microsoft published a research article explaining the impact of AI on developer productivity. They conducted a controlled experiment to measure the productivity impact of using GitHub Copilot, an AI coding assistant, in programming tasks. Random individuals were selected and divided into two groups. One group had access to Copilot, while the other group did not have access to Copilot but could access the internet.
After both groups were given the programming task, two metrics were used to measure the performance of each group: task success and task completion time. Task success was measured as the percentage of participants in a group who adequately completed the task, while task completion time was measured as the time from the start to the end of the task.
When considering completion of the task, the average completion time for the group using Copilot was 71.17 minutes, whereas it was 160.89 minutes for the group that did not have Copilot. This means the group with Copilot was 55.8% faster. Additionally, the Copilot group had a 7% higher success rate than the other group. These results indicate that Copilot significantly increased average productivity within the experimental population.
As the results indicate, using AI as your assistant can significantly boost productivity by a considerable percentage. It’s not only about adapting AI as your assistant, but also as advanced tools. Did you know that every content-focused application has long implemented AI? Instagram, YouTube, and Twitter utilize AI technology known as a recommender system to display the most engaging content on your feed based on your data.
In fact, you may not even be aware that you’ve been part of the AI consumer ecosystem for quite some time. AI has already been seamlessly integrated into various platforms, but the recent buzz around it intensified with the emergence of powerful models like ChatGPT, capable of generating human-like responses. Indeed, it’s a remarkable advancement, but its potential remains useless without proper control. Just like a car with no driver.
In the early days of the telephone, people were scared that this new invention might electrocute them. Others were concerned that wives would spend excessive time gossiping over the wires, and some believed the lines could serve as conduits for evil spirits.
When the world’s first public railway opened in 1825, many people were terrified. They thought that going at 30 miles per hour would either tear them apart or make them suffocate because they couldn’t handle such speed.
Likewise, when computers were first invented, people were scared they’d lose their jobs to machines. The same thing as when they first showed a human-like robot on TV, and people were afraid that a robot that could only move backward and forward might harm them. These examples show that new technology often makes people anxious.
Big technological changes, or any changes for that matter, often make people anxious. Those who don’t understand the new technology tend to worry more and feel threatened by those who do. Instead of just worrying or relying on media, we should be more curious about these new things. Try to understand them and see if you can use them to your advantage in life.
At the end of the day, it’s only humans who have the power to make decisions, whether to create or to destroy.
