1 Billion Coders – Prompting Is The New Programming
5/5 – (1 vote)
Introduction
Prompting and GPT-4 Main argument: Prompting is programming for the masses
The recent release of GPT-4 has taken the tech world by storm, providing powerful AI-driven solutions that transform how we work and interact with technology.
One such groundbreaking innovation is “Prompting”, a term that refers to AI-assisted code completion and generation. As more people become familiar with this concept, it’s becoming increasingly evident that Prompting is not just a novel feature, but a game-changing revolution in programming.
In this article, we will explore the idea that Prompting is, in fact, programming for the masses.
By examining the evolution of programming technologies over the years and the impact of Prompting on the programming landscape, we will demonstrate how this new paradigm democratizes programming and opens up new opportunities for people from all walks of life.
So, without further ado, let’s dive into the world of Prompting and discover how it reshapes the future of programming.
Evolution of Programming Technologies
Evolution of programming technologies, from punch cards to AI-assisted prompting Each abstraction layer 10x’d the number of programmers and broadened the spectrum of activities considered programming
To fully understand the significance of Prompting and its role as programming for the masses, it’s essential to take a step back and examine the evolution of programming technologies over the years.
I’ll give you a completely personal view on the history of programming language evolution going from manipulating “0”s and “1”s towards natural language programming:
Since the early days of computing, several key milestones have been in developing programming languages and tools.
Each new abstraction layer has made programming more accessible, enabling more people to participate in the field and broadening the range of activities that can be considered programming.
Here’s my rough estimate of the number of programmers in each “age”:
Skill
Approximate Number of People
Punch Cards
10,000
Assembly
100,000
C Programming
1,000,000
C++ or Java
10,000,000
Python
100,000,000
Automatically Generate Code
200,000,000
Prompting (GPT-based coding)
2,000,000,000
The journey began in the 1940s and 1960s with punch cards, which allowed programmers to encode instructions for early computers. Assembler languages soon followed, providing mnemonic codes that represented machine instructions, making programming more human-readable.
The 1970s and 1980s saw the introduction of low-level C, which allowed for greater abstraction and more flexibility in programming. Higher-level languages like C++ and Java emerged in the 1980s and 2000s, further simplifying the programming process and opening up new possibilities for software development.
With its intuitive and beginner-friendly syntax, Python came into the picture in the 2000s and 2010s, making programming even more accessible to a wider audience.
The introduction of smart IDEs and code generation tools in the 2010s and 2020s further streamlined the programming process, allowing developers to work more efficiently and effectively.
With the advent of Prompting in the 2020s, we’re witnessing the next major leap in the evolution of programming technologies. By leveraging AI-driven code completion and generation, Prompting is breaking down barriers and enabling even non-programmers to participate in creating and customizing software applications.
This new layer of abstraction is set to change the programming landscape profoundly, expanding the reach of programming like never before.
The total addressable market (TAM) of programming is not in the millions, tens of millions, or even hundreds of millions. Prompting has paved the road for the billions!
Comparing Prompting to Googling
Prompting vs Googling as essential skills in the tech world Prompting goes beyond just being a skill to learn, but a paradigm shift in programming
As Prompting gains traction, many in the tech industry are drawing parallels between it and Googling, the now-ubiquitous skill of searching for information online.
Indeed, both skills have become increasingly important in our digital age, and learning to use them effectively can greatly enhance one’s ability to solve problems, access knowledge, and innovate. However, likening Prompting to Googling does not fully capture the transformative power of this new technology.
While Googling is an essential skill that enables users to find answers to questions and access a wealth of information at their fingertips, Prompting represents a more profound shift in the programming world.
Rather than merely being another skill to learn, Prompting is a paradigm shift that transforms how we approach programming. It effectively democratizes the process, allowing individuals with little or no programming experience to create, modify, and deploy software applications.
Everybody with an idea can now spin up an app easily and effectively. More importantly, everybody can create an app unique to their needs.
In essence, Prompting does for programming what Googling does for information retrieval. It simplifies and streamlines the process, making it more accessible and intuitive for a broader audience. This, in turn, fosters innovation and creativity, as more people can engage in programming and contribute their ideas to the world of technology.
By breaking down barriers and empowering individuals from all walks of life, Prompting is redefining the nature of programming and expanding its reach to encompass a greater range of activities and participants.
The Impact of Prompting on the Programming Landscape
Democratization of programming and the expansion of the total addressable market (TAM) for programmers Prompting lowers the barrier to entry for programming, allowing more people to participate and innovate
As Prompting continues to revolutionize the way we approach programming, its impact on the programming landscape is becoming increasingly evident.
One of the most significant changes brought about by Prompting is the democratization of programming, which has led to an expansion of the total addressable market (TAM) for programmers. With the introduction of this new layer of abstraction, a wider range of individuals can now participate in programming, regardless of their background or prior experience.
Prompting lowers the barrier to entry for programming by simplifying complex tasks and providing AI-driven code completion and generation.
For example, the following gives me a Python script to calculate the ROI of investing in broad index funds:
This enables even non-programmers to create software applications with relative ease, allowing them to bring their ideas to life without being limited by a lack of technical expertise. As a result, we can expect to see a surge of new innovations, as more people gain the ability to contribute their unique perspectives and skills to the world of technology.
But this is not all – instead of writing a Python program that does it, you can simply ask ChatGPT to do it!
Prompt: Give me a table of investment results when investing $10,000 for 40 years at a 9% annual ROI!
So not only has traditional programming become easier and more accessible, it is often not needed because ChatGPT can do the actual work.
The rise of Prompting also has implications for education and workforce development. As programming becomes more accessible to the masses, the demand for coding education will likely increase, with more people seeking to learn programming skills to stay competitive in the job market.
This could lead to a shift in the way programming is taught, with a greater emphasis on using AI-driven tools like Prompting, alongside traditional programming languages and techniques.
Furthermore, the growing prevalence of Prompting may also change the way companies hire and develop talent. With programming becoming more accessible, companies may place less emphasis on formal coding education and experience, instead focusing on an individual’s ability to leverage AI-assisted tools like Prompting to solve problems and innovate.
This could lead to a more diverse and inclusive tech industry, as individuals from various backgrounds can contribute their talents and ideas.
The Future of Prompting and its Implications
Future developments and improvements in Prompting technology Potential impact on education, job markets, and the tech industry
As Prompting technology continues to evolve and improve, we can expect its impact on the programming landscape to become even more profound.
Future developments in AI-driven code completion and generation tools may lead to even greater levels of abstraction, further simplifying the programming process and enabling more people to engage with technology in new and exciting ways.
One potential growth area is integrating Prompting tools with other technologies, such as
augmented and virtual reality,
IoT devices,
spreadsheets,
games, and
voice assistants.
This could give rise to new forms of interaction and collaboration, enabling people to create and modify software applications in more intuitive and immersive ways.
With Microsoft’s ChatGPT Bing integration, we already see how massive billion-dollar industries such as search engines now have “ChatGPT at the heart”.
Another possibility is the development of more advanced and specialized Prompting tools tailored to specific industries or use cases.
This could lead to greater customization and personalization in software development, as individuals can leverage AI-driven tools to create bespoke applications that cater to their unique needs and preferences.
You can now start a massive business from your garage, leveraging infinite artificial intelligence to create insane value.
As Prompting becomes increasingly prevalent, it may also drive changes in how programming languages and frameworks are designed. Language creators may focus on developing more AI-friendly languages, allowing seamless integration with Prompting tools and enabling developers to work more efficiently and effectively.
Ultimately, the rise of Prompting holds the potential to reshape the entire tech industry, from education and workforce development to how we design and interact with technology. By democratizing programming and making it accessible to a wider audience, Prompting is ushering in a new era of innovation and creativity, empowering individuals from all walks of life to contribute their ideas and talents to the world of technology.
Getting Started with Prompting
7 Effective Prompting Tricks for ChatGPT Explore Prompting and leverage it to enhance their coding skills and productivity
As the programming world continues to evolve, individuals interested in technology must keep up with the latest advancements and learn how to harness the power of AI-driven tools like Prompting.
To help you get started, we’d like to introduce a comprehensive blog tutorial that can guide you through the process:
For your convenience, I summarized the article using simple prompting:
By learning to leverage the power of AI-assisted code completion and generation, you’ll be well on your way to enhancing your coding skills and boosting your productivity.
I encourage you to explore the world of Prompting and experiment with how it can help you create, modify, and deploy software applications. As you familiarize yourself with this cutting-edge technology, you’ll be well-equipped to stay ahead of the curve and make your mark in the rapidly evolving programming landscape.
Conclusion
As you’ve explored throughout this article, Prompting represents a fundamental paradigm shift in the programming landscape, ushering in a new era of programming for the masses.
By leveraging AI-driven code completion and generation tools, Prompting is democratizing programming, making it more accessible and intuitive for a wider range of individuals.
You’ve learned how the evolution of programming technologies has paved the way for this paradigm shift, with each new layer of abstraction increasing the number of programmers and broadening the scope of what can be considered programming. The rise of Prompting is set to further expand the reach of programming, empowering more people to engage with technology and contribute their unique ideas and talents.
As you embark on your journey into the world of Prompting, remember that this technology holds the potential to reshape not only the way you work but also the entire tech industry. By embracing the change and learning to harness the power of AI-driven tools like Prompting, you’ll be well-positioned to thrive in this new era of programming for the masses.
Action! So, go forth, explore the potential of Prompting, and become part of the next revolution in programming. The future is bright, and the possibilities are endless!
Definitely download the prompting cheat sheet I created here:
Do you want to connect a remote server from the phpMyAdmin installed on a local or test server? This article gives the steps needed to achieve it.
There are many database clients, most of which support connecting a database server. But, working with phpMyAdmin to connect to a remote database server is heavenly easier than with other clients.
Configure remote server details in the phpMyAdmin application config file
A configuration file config.inc.php is there for the phpMyAdmin application. Open that file and add the below settings into it.
This setting is to add the remote database details, host, username, and password. The database port is optional if it is the default.
Before setting the database details, it increments the existing config array index. We can add as many configurations as following the current batch of settings.
$i++;
$cfg['Servers'][$i]['host'] = 'DATABASE_HOST:PORT';//set the database hostname.
$cfg['Servers'][$i]['user'] = 'DATABASE_USER';// set the remote database user
$cfg['Servers'][$i]['password'] = 'DATABASE_PASSWORD';// database password
$cfg['Servers'][$i]['auth_type'] = 'config';
After adding these details, the phpMyAdmin application lists the configured database hostnames.
The list is a dropdown of selectable database hosts that appears above the left navigation menu.
The below figure shows the dropdown options of the current localhost and the RemoteHost server.
It allows navigation between these two database servers to manage their assets.
Note: The RemoteHost:port is a test configuration data. Replace it with the remote database IP and port to be connected.
These guidelines assume that you have the PHP and MySQL environment with the phpMyAdmin application installed.
If you newly create the environment or install the phpMyAdmin, ensure the required privileges and security measures. We have seen steps to install phpMyAdmin on a windows machine via the WAMP package installer.
Security measures needed for the machine connecting the remote database
(1) Use a Linux environment
Before connecting the remote database via phpMyAdmin, we must be confident about the security.
Linux-based machines are safe for proceeding with the remote connection.
If you are using a Windows machine, there are settings to enable WSL to let it be secure while working with the remote database servers.
(2) Let login configuration empty
When setup the remote database server configuration, let the username and password empty.
Set only the remote database server IP address to show in the phpMyAdmin web interface.
Choosing the remote server to connect will redirect to the phpMyAdmin login panel to enter the details.
Directly access the remote phpMyAdmin web application URL
If you know the URL of the phpMyAdmin web application installed on the remote server, we can visit and land on its login page.
The login page prompts the MySQL database host, username, and password. Entering and submitting these details allows access to the remote database.
Thus, we have seen the possible ways of connecting the remote database server using the phpMyAdmin application.
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STORY:
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has been recruited as an agent reporting directly to the president of the United States. With the experience of multiple missions on his back, Leon is sent to rescue the president's kidnapped daughter. He tracks her to a secluded European village, where there is something terribly wrong with the villagers. And the curtain rises on this story of daring rescue and grueling horror.
ChatGPT is a powerful AI conversation model that can assist you in generating various types of text content. But to get the best results, you need to give clear and specific prompts.
Here are 7 prompting strategies that can help you get the most out of ChatGPT:
Trick #1 – Define ChatGPT’s Role
ChatGPT can play different roles, such as a tour guide, philosopher, or translator. To get the desired result, give ChatGPT a prompt that specifies the role it needs to play.
Example:
"I want you to act as a tour guide. I’ll write you my location, and you’ll suggest a place for me to visit near my location."
I also created a fun way to role-play a mastermind group with your personal heroes. You can check it out in this article — I promise it’ll be worth your time:
Trick #2 -Define Target Group and Communication Channel
To avoid tedious rewriting, give ChatGPT as much information as possible about the target group and the communication channel. Tell the AI how to address the reader and for which channel the text is intended.
Example:
"I need a script for a TikTok about the opportunities and risks of ChatGPT. Use short sentences. Address the audience directly. Use gender-neutral language."
Trick #3 -Chained Prompting
Break up complex tasks into several intermediate steps, hoping the AI will generate a more concrete, customized, and better result.
Example:
"Write an article about ChatGPT. First give me the outline, which consists of a headline, a teaser, and several subheadings.... (possibly wait for generated output) ...Now write five key messages for each subheading. Add five keywords to the key messages for each subheading."
I think this is one of the best hacks of prompt engineering. Trial. Error. Iteration. You’ll often get your desired output quickly and efficiently and get better at it in no time!
Trick #4 -Create Content Variations
Prepare the same content for different channels such as LinkedIn, Twitter, or Facebook. The text should be adapted to the tone and formatting of the target channel.
Example:
"Formulate the generated text as a LinkedIn post. Keep in mind that the maximum length is 3000 characters. Structure the main points of the text into a bulleted list. Start with an exciting teaser sentence and end with a call to action for more engagement."
Trick #5 -Format Output
ChatGPT replies in plain text by default, but it can handle formatting in the Markdown markup language, such as headings, bold or italic text, ordered or unordered lists, and even tables.
Example:
"I need a blog post about ChatGPT. Write a headline, a teaser, a subtitle, and a paragraph. Format everything in Markdown."
Trick #6 -Generate Prompt Instructions
Instruct ChatGPT to take on a specific role and ask itself the questions it needs to answer in the next prompts.
Example:
"You are a robot for creating prompts. You need to gather information about the user’s goals, examples of preferred output, and any other relevant contextual information. The prompt should contain all the necessary information provided to you. Ask the user more questions until you are sure you can create an optimal prompt."
Trick #7 -Extract Structured From Unstructured Data
Extract structured data from unstructured data by specifying a desired output format (e.g., CSV) with one example output. This can help you in data preprocessing.
Example:
Extract house pricing data from the following text. Text: """
A 100 square meter house I recently visited in Florida costs $1 million dollars. I was surprised as my own 90 square meter house in Florida costs only $100 thousands USD. Compare this to the house of my friend ($500000 USD for 110 square meter). """ Desired output format: """
House 1 | $1,000,000 | 100 sqm """
Conclusion
ChatGPT is a versatile, mind-blowing tool that can assist you in generating various types of text content. However, you need to give clear and specific prompts to get the best results.
These 7 prompting strategies can help you get the most out of ChatGPT and produce high-quality content.
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Have a Nice Death is a 2D action roguelike where you play as an overworked Death, whose employees have run rampant, completely throwing off the balance of souls - and his vacation plans. In order to restore order, you'll have to grab your trusty scythe and show your employees who's boss.
Since Death can't die, use what you've learned and earned to overcome the numerous minions and bosses in each department of Death Incorporated... over and over. A performance review after every run guarantees that you'll unlock interesting items and upgrades that will help you progress on your journey.
Hold onto your hats, folks! OpenAI has just introduced GPT-4, a colossal leap forward in deep learning.
This large multimodal model is more than just a text-based smarty-pants; it can process both images and text, producing text outputs that are nothing short of impressive.
Showdown: At the end of this article, I’ll let both GPT-3.5 and GPT-4 write a short story. You’ll be mind-blown by the difference!
But how does it stack up against its predecessor, GPT-3.5?
In this beginner-friendly blog post, we’ll break down the key differences, explain why GPT-4 is such a big deal, and give you some mind-blowing statistics to showcase its extraordinary capabilities.
Picture this: GPT-4 just took a simulated bar exam and scored in the top 10% of test-takers! To put that in perspective, GPT-3.5’s score was around the bottom 10%.
That’s a massive improvement, and it’s all thanks to OpenAI’s tireless efforts to fine-tune GPT-4 over six months using lessons from adversarial testing and ChatGPT. The result? Improved factuality, steerability, and adherence to guardrails.
The brainpower behind GPT-4 isn’t all software – there’s some serious hardware at play too.
Over the past two years, OpenAI rebuilt its entire deep learning stack, partnering with Azure to create a supercomputer specifically designed for their workload.
GPT-3.5 was like a test run — an impressive one nonetheless — allowing the team to work out the kinks and refine their approach.
And boy, did they succeed!
GPT-4’s training was stable and predictable, making it the first large model with performance that could be accurately forecasted ahead of time.
Text Input Capability: Now Available for Everyone!
GPT-4’s text input capabilities have been released via ChatGPT and the API (with a waitlist), so everyone can enjoy its remarkable advancements.
OpenAI is also working on its image input capability, collaborating with a single partner to prepare it for wider availability.
Plus, they’re open-sourcing OpenAI Evals, a framework for evaluating AI model performance, so you can help guide future improvements.
GPT-4 vs. GPT-3.5: The Showdown
When it comes to casual conversation, the differences between GPT-3.5 and GPT-4 might seem subtle. But the magic happens when the task complexity increases.
GPT-4 is more reliable, creative, and capable of handling nuanced instructions than GPT-3.5.
OpenAI tested both models on various benchmarks, including simulated exams designed for humans. GPT-4’s performance was nothing short of astonishing.
Above 50% is super-human average performance!
Beyond English: Multilingual Mastery
GPT-4 doesn’t just excel in English; it shines in other languages too.
OpenAI tested GPT-4 using the MMLU benchmark, a suite of 14,000 multiple-choice problems across 57 subjects, translated into various languages.
In 24 of 26 languages tested, GPT-4 outperformed GPT-3.5 and other large language models—even in low-resource languages like Latvian, Welsh, and Swahili!
A Handy Helper in the Office
GPT-4 isn’t just flexing its muscles in the lab; it’s making a real-world impact too.
OpenAI has been using GPT-4 internally for support, sales, content moderation, programming, and even evaluating AI outputs. It’s a versatile and powerful tool that’s ready to revolutionize the way we work.
GPT-4 is significantly better than previous versions in a wide variety of general-purpose skills:
Visual Inputs: A Sneak Peek into the Future
But wait, there’s more!
GPT-4 can also handle visual inputs, allowing users to prompt the model with both text and images. This means it can generate text outputs based on a variety of image types, like documents with text and photographs, diagrams, or screenshots.
GPT-4’s capabilities in this domain are similar to its text-only prowess and can be enhanced with test-time techniques developed for text-only language models, such as few-shot and chain-of-thought prompting.
Keep in mind that image inputs are still in the research preview stage and not yet publicly available.
Conclusion
In a nutshell, GPT-4 is the AI game-changer we’ve all been waiting for.
With human-level performance on various professional and academic benchmarks, impressive multilingual capabilities, and the ability to process both text and image inputs, it’s easy to see why GPT-4 is making waves in the AI community.
As OpenAI continues to refine and expand GPT-4’s capabilities, we can expect even more groundbreaking advancements in the near future. So, stay tuned, AI has never been more exciting!
GPT-4 is a multimodal model, capable of processing both text and image inputs.
It has shown human-level performance on various professional and academic benchmarks.
On a simulated bar exam, GPT-4 scored in the top 10% of test-takers, while GPT-3.5 scored in the bottom 10%.
OpenAI spent six months fine-tuning GPT-4 using lessons from adversarial testing and ChatGPT.
GPT-4 was tested on the MMLU benchmark, a suite of 14,000 multiple-choice problems across 57 subjects.
In 24 of the 26 languages tested on the MMLU benchmark, GPT-4 outperformed GPT-3.5 and other large language models.
OpenAI used GPT-4 internally for various tasks, including support, sales, content moderation, and programming.
GPT-4 can generate text outputs from inputs consisting of interspersed text and images.
The development of GPT-4 involved rebuilding OpenAI’s entire deep learning stack and co-designing a supercomputer with Azure.
GPT-4 considerably outperforms existing large language models and most state-of-the-art models on traditional benchmarks designed for machine learning models.
Appendix: GPT-3.5 vs GPT-4 Short Story
To showcase the new capabilities of GPT-4, I let both write a short story with the following prompt:
Write a funny soccer story for kids that teaches the kid that persistence is key for success in the style of Rowling.
Here’s the output of GPT-3.5:
Once upon a time, in a small village in England, there was a young boy named Harry who loved playing soccer more than anything in the world. He dreamed of one day playing for the famous Manchester United team, but he wasn't very good at it. Harry would spend hours every day practicing his soccer skills, but no matter how much he tried, he just couldn't seem to improve. His kicks were weak, his passes were sloppy, and he always seemed to trip over his own feet. One day, Harry heard that the Manchester United team was holding tryouts in his town. He knew that he wasn't good enough to make the team, but he decided to give it a try anyway. He put on his favorite soccer jersey, laced up his cleats, and headed to the field. When he arrived, he saw hundreds of other kids just like him, all vying for a chance to play for Manchester United. Harry watched as the other kids showed off their skills, dribbling the ball with ease, making perfect passes, and scoring goal after goal. Harry knew that he couldn't compete with those kids, but he refused to give up. He stepped up to the ball, took a deep breath, and kicked it with all his might. The ball flew into the air, wobbling and spinning wildly, and Harry watched in horror as it sailed straight into the goalpost and bounced back toward him. But Harry didn't give up. He chased after the ball, ignoring the snickers and jeers of the other kids, and kicked it again. And again. And again. Each time, the ball sailed in a different direction, bouncing off the other kids, the goalposts, and even the referee's head. But Harry didn't care. He was having the time of his life, and he refused to let anyone else bring him down. He kicked the ball with all his might, laughing and shouting and cheering himself on. And then, something amazing happened. The Manchester United coach, who had been watching the tryouts from the sidelines, walked up to Harry and tapped him on the shoulder. "Son," the coach said, "I've never seen anyone as persistent as you. You may not be the best soccer player on this field, but you have heart. And that's something that can't be taught." And with that, the coach offered Harry a spot on the Manchester United team. Harry couldn't believe his ears. He had made it! He had achieved his dream! From that day on, Harry worked harder than ever before, practicing every day and pushing himself to be the best he could be. And in the end, his persistence paid off. He became one of the greatest soccer players in the world, known not just for his skill, but for his determination and his unwavering spirit. So remember, kids: persistence is key. If you want to achieve your dreams, you can't give up. You have to keep pushing, keep trying, and keep kicking that soccer ball with all your might. Who knows? Maybe one day, you'll be the next Harry of the soccer world!
And here’s the impressive output of GPT-4, notice the unique use of words and creative ideas and turns in the storyline!
Once upon a time in the magical land of Fussballia, there lived a young and spirited soccer player named Jorrick Kickalot. Jorrick was no ordinary soccer player. He had an extraordinary talent of kicking soccer balls with the precision of a master archer. However, his small size made it difficult for him to make the local team, the Fussballia Falcons. Jorrick's best friend, a tiny but wise owl named Hootius Whistlebeak, would always accompany him to the games. One day, Hootius spotted a secret sign in the sky. It was an invitation to the legendary Flying Cleat Cup, a mysterious soccer tournament that only appeared once every 100 years. "Jorrick, this is your chance to prove yourself!" said Hootius excitedly, flapping his wings in anticipation. Together, they embarked on a long and treacherous journey to the secret location of the Flying Cleat Cup. They encountered peculiar creatures, such as the Zigzag Zephyrs, who could change the direction of the wind with a flick of their tails, and the elusive Balliphants, giant soccer balls with elephant trunks. Finally, they reached the hidden stadium, where they found teams of all shapes, sizes, and magical abilities. Jorrick felt nervous and unsure, but he remembered Hootius' words: "Persistence is the key to success!" The tournament began with a grand fanfare. In the first match, Jorrick and his makeshift team of magical creatures faced off against the towering Stomposaurs, a team of dinosaur-like creatures with powerful legs. Despite their intimidating size, Jorrick and his teammates worked together, and he managed to score the winning goal with a perfectly placed kick. In the next round, they faced the clever Whizbang Wizards, a team of magical beings who could make the ball disappear and reappear in the most unexpected places. Jorrick, however, was not to be outwitted. With Hootius' help, he kept a sharp eye on the ball and successfully led his team to another victory. The final match was against the reigning champions, the Enchanted Elves, known for their unmatched speed and agility. Jorrick was exhausted and felt the weight of the pressure on his shoulders. His legs were heavy, and his heart pounded in his chest. As the match began, the Enchanted Elves darted around the field, scoring goal after goal. It seemed like all hope was lost. But then, Hootius flew down to Jorrick and whispered, "Remember, persistence is the key to success!" With renewed determination, Jorrick summoned every ounce of strength he had left. He dodged, weaved, and kicked with all his might. Miraculously, he scored an equalizer in the final minutes of the game, sending it into extra time. In the final moments, Jorrick took a deep breath and prepared for a corner kick. He spotted Hootius in the stands, who gave him a reassuring nod. Jorrick took a step back, and with a powerful swing of his leg, sent the ball soaring through the air. The ball curved around the defenders, flew past the goalie, and nestled perfectly into the corner of the net. The stadium erupted in cheers as Jorrick's team celebrated their unexpected victory. They had won the Flying Cleat Cup, and Jorrick had proven that size did not matter when it came to playing soccer. Jorrick and Hootius returned home to Fussballia, where they were greeted as heroes. And from that day on, Jorrick Kickalot became a legend, not only for his incredible skills but also for his unwavering persistence. Young soccer players from all over the land would come to watch Jorrick play and learn from him. They admired not just his talent, but also his determination and grit. Jorrick always took the time to share his wisdom with the aspiring athletes, reminding them of the important lesson he had learned: "Persistence is the key to success!" As for Hootius Whistlebeak, he became the official mascot of the Fussballia Falcons, always encouraging the players to never give up, no matter the odds. Years later, the story of Jorrick Kickalot and his magical adventure at the Flying Cleat Cup became a beloved tale in Fussballia. Parents would tell their children the story of the young soccer player who, against all odds, achieved greatness through his sheer persistence and determination. And so, the legacy of Jorrick Kickalot lived on, inspiring generations of young soccer players to believe in themselves and never give up, no matter how tough the challenges they faced. They knew that if they could persist like Jorrick, they too could achieve their dreams and become the best soccer players they could be.
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Prompting and GPT-4
Main argument: Prompting is programming for the masses
Evolution of programming technologies, from punch cards to AI-assisted prompting
Each abstraction layer 10x’d the number of programmers and broadened the spectrum of activities considered programming
Prompting vs Googling as essential skills in the tech world
Prompting goes beyond just being a skill to learn, but a paradigm shift in programming
Democratization of programming and the expansion of the total addressable market (TAM) for programmers
Prompting lowers the barrier to entry for programming, allowing more people to participate and innovate
Future developments and improvements in Prompting technology
Potential impact on education, job markets, and the tech industry
Explore Prompting and leverage it to enhance their coding skills and productivity
Showdown: At the end of this article, I’ll let both GPT-3.5 and GPT-4 write a short story. You’ll be mind-blown by the difference!
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