Why AI Is Incredibly Smart and Shockingly Stupid

Imagine having a highly advanced and intelligent system that anticipates and caters to your every need. AI technology has brought us closer to this reality than ever before. It is revolutionizing industries and making mundane or impossible tasks  a breeze. From AI writing to smart assistance and self-driving cars, AI is making life easier and more convenient.

 

However, how intelligent is AI? Can you trust it to make the right decisions, like content creation, for you? This guide uncovers the intriguing nuances of AI, exploring both the impressive feats and the mind-bending limitations of this game-changing technology.

Reasons Why AI Is Incredibly Smart

According to computer scientist Yejin Choi, AI is an undeniably powerful tool (Watch Yejin Choi’s Ted Talk video at the end of the blog). It helps users beat the world-class go champion, ace college admission tests, and pass the bar exam. AI can handle many things that humans can do, sometimes even better. Here are some reasons why AI is brilliant:

Fast Processing Power

AI’s processing power is unmatched, allowing it to perform challenging calculations and process vast amounts of data in real-time. This has led to breakthroughs in fields like medicine, where AI is used to diagnose diseases and develop personalized treatment plans. AI writing services also create original content such as text, images, music, and videos fast and more efficiently, saving time and energy.

Efficient Data Analytics and Predictions

Machine learning enables AI systems to learn from data and enhance performance without programming. With machine learning, AI algorithms can analyze large amounts of data and detect patterns, trends, and insights humans might miss. They use these insights to make accurate predictions. For example, AI helps doctors diagnose diseases, recommend treatments, and predict outcomes based on medical records and images.

Natural Language Processing

Natural language processing (NLP) enables AI technologies to understand and interpret human language. With NLP, AI systems can communicate with humans using natural language and gestures. For example, AI can answer questions, give directions, and provide feedback. It also processes and analyzes text, speech, and images.

Promotes Automation

AI automates many repetitive tasks, including customer support and booking services. This frees up time for human workers, allowing them to focus on more complex, high-level jobs requiring creativity, problem-solving, and critical thinking.

Enhances Personalization

AI’s ability to process large amounts of data allows it to deliver personalized user experiences. From customized recommendations to tailored marketing messages, AI is changing how businesses interact with customers.

AI is brilliant, as it can leverage the power of computation, data, and algorithms to achieve remarkable results. However, it also has some severe limitations ,like providing false information, that sometimes make it inefficient.

Why AI is Shockingly Stupid

While AI writing tools are exceptional, they can’t solve all human problems. Their inherent flaws and challenges make them prone to errors and failures.  In a TED talk by computer scientist Yejin Choi, she highlighted three critical problems with AI that show why it is shockingly stupid. These include:

Problems With Cutting-Edge Large Language Models

Yejin Choi compares modern AI to Goliath as it is quite large. There are claims that recent models like ChatGPT-4 are trained on tens of thousands of GPUs and over a trillion words. They are expensive to train, and only a few tech companies can afford them.

 

Researchers in the broader community don’t have the means to inspect and create enormous language models. These models also have a massive carbon footprint and environmental impact, making them unsustainable.

Lacks Basic Commonsense Reasoning

Common sense has been a long-standing challenge when it comes to AI. While most large language models tend to demonstrate sparks of artificial general intelligence (AGI), they still make small silly mistakes. They are poor at commonsense reasoning and fail to perform simple tasks humans can easily do. Here are a few examples:

Example 1:

If it took five hours to dry five clothes out in the sun completely, how long would it take to dry 30? GPT 4, the newest and greatest AI writing tool, says 30 hours, which is wrong.

Example 2:

I have a 12-liter and 6-liter jug, and I want to measure 6 liters. How do I do it? The correct answer should be to use the six-liter jug. GPT 4 spits out some very elaborate nonsense response: fill the six-liter jug; pour the water from 6 to 12-liter jug; fill the 6-liter jug again; very carefully pour the water from 6 to 12-liter jug. You’ll have 6 liters of water in your 6-liter jug.

Example 3:

Can my bicycle tire get a puncture while cycling on a bridge suspended over broken glasses, screws, and nails? GPT says yes, it is highly likely. It cannot be properly reason that you can’t have a flat tire bicycling on a bridge suspended over broken nails and broken glass as long as the bridge surface doesn’t touch these sharp objects directly.

Difficulty In Teaching AI

AI is tough to teach, especially regarding complex tasks that require human-like reasoning. Unlike humans, who can learn from various sources of information and feedback, AI systems rely on specific instructions and data. They need similar examples and more training data to learn, making the process challenging and tedious.

Modern AI gets trained on three data types in the modern-day AI context. These include raw web data, craft examples custom developed for AI training, and human judgments or human feedback on AI performance.

The raw web data is freely available, and using it to train AI isn’t ideal. This data has racism, sexism, and misinformation regardless of how much of it you use. However, the newest, most unique AI systems now use the second and third types of data crafted and judged by human workers. It’s like writing specialized textbooks for AI to study from and hiring human tutors to give AI feedback constantly. These are proprietary data speculated to cost tens of millions of dollars.

 

Unlike AI, humans can provide correct answers instantly without training with similar examples. Even children don’t read over a trillion words to acquire basic common sense. Yet larger models still struggle to solve trivial problems that even children can with ease.

Get the Best Human Crafted AI Writing Services Today

AI is brilliant and has the potential to transform industries and change the way humans live and work. It helps with automation, machine learning, natural language processing, performing tasks faster, and personalization. However, AI is not infallible and can make mistakes no matter how powerful the model is.

AI writing tools are difficult and expensive to teach or train and lack basic common sense. They cannot replace the creativity, intuition, and critical thinking skills of humans. You can’t solely rely on it to create content, thus requiring human intervention from experts like SEO Markers.

 

We offer the best human-crafted AI content writing services tailored to help you get more organic traffic and improve your conversions. Our qualified and expert AI writers combine their creativity, expertise, and knowledge with the latest AI writing tools to deliver high-quality, engaging, and SEO-friendly content that meets your business needs. Contact us to place an order, and let us help take your content strategy to the next level.

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ABOUT DIRECTOR
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Becky Wright

Becky Wright is a digital strategist and content manager with over 10 years experience as a digital marketer.

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