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Following the launch of OpenAI's newest product, GPT-3, people were still trying to comprehend what they had just seen. It was literally the most adaptive and versatile computer algorithm ever written. This program had the unique ability to create work out of thin air, mimicking the uniquely human ability to create. It could write a hundred lines of code in under 30 seconds, it could generate a 700 word report for you on a book you've never read, it could give technical and non technical explanations on every subject encompassed in human knowledge. It was amazing!

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When you think of generative AI, you're probably thinking of chatGPT, it was the first one that shot this genre of AI to superstardom and brought the conversation regarding what we should do with this technology to everyone rather than just the small circle of researchers working on natural language processing.

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Let's repeat the examples one more time, GPT-3 could:

Write a 700 word report on a book (a book critic's livelihood)

Write 100 lines of code in under 30 seconds (way faster than your average software developer)

Teach you anything! (Most chemistry professors could not turn around and teach you about 18th century russian literature directly after diving into the thick of balancing a complex chemical equation.)

Some people realized this thing was a digital manifestation of Will Hunting and that might give it the potential to replace the workforce of entire industries.

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"I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it." - Bill Gates

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"I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it." - Bill Gates

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One way or another, EVERYONE caught wind of ChatGPT's release, this of course includes students. The students using chatGPT to do their work are one of the main groups receiving concern because generative AI is removing the need for them to understand their work in order to get it done. This IS a valid cause for concern, it isn't hard to paste homework problems into the text box of one of these AI models and have it do it for you from start to finish, even showing you the steps so it is totally indistinguishable from the work of someone with a perfect understanding of a given concept.

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Indie Developers Everywhere Let Out a Sigh of Relief

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Indie Developers Everywhere Let Out a Sigh of Relief

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One of the major challenges of creating a game from scratch is polishing the art for your assets, and writing the bulk of the code, which isn't complex or conceptually difficult but takes hours to build and debug and integrate. Not just ChatGPT, but other AI models being released as well can handle that entire aspect of the development process BY ITSELF.

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This technology just came out, it is adaptable, it is smart, and scarily consistent at an equally scary number of jobs.

Artists go on strike and completely panic because realistically, they needed to panic and go on strike. The AI can recreate their work in seconds at no cost. This thing we just invented, a software developer's fever dream and ultimate achievement, may have been us majorly shooting ourselves in the foot.

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"This is going to change education forever!"

"We haven't seen anything this game changing since the dawn of the world wide web!"

"This is a more powerful tool than the cellphone!"

Everyday people, and professionals alike let their imaginations run wild. Understandably so, this is the first computer program we can reasonably call an A.I. (artificial intelligence).

But, as the title of this note says, we jumped to a foregone conclusion and forgot 2 key things.

1. This technology is very much still in its infancy, we have no idea what it can do or how close to the ceiling/floor we are.

2. It's so new we have no idea how it will affect industries it is already permanently changing. We should sit back and observe a little before we introduce this admittedly cool and potentially useful thing to central systems like education and overseeing systems with real world consequences if something goes wrong.

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People Really Jump the Gun... In a Bad Way

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People Really Jump the Gun... In a Bad Way

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"This is going to end the world!"

"There is no longer a need for any human involvement in the fields of medicine, teaching, software development, and academic research!"

"This thing is gonna found skynet any minute now!"

People also leapt to conclusions in the opposite direction. It is important to acknowledge the valid concerns, and separate them from the ridiculous ones. One big piece of this problem is the name "AI". Pop culture seems to have infected everyone's heads a little here. This problem is exacerbated further by how mysterious computers are to a HUGE number of people. Computers are a total black box to billions, this makes it unclear how many things AI models are capable of that standard programs aren't. Generative Artificial Intelligence is somewhat of a misnomer, and people are certainly confusing the term with sentience. If you made an NLP algorithm (the type of algorithm GPT-3&4 and others are leveraging) take an IQ test, you would find that its pattern recognition is very low.

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With a low pattern recognition, and the assessment of their abilities shrouded in misinformation and speculation people either don't fear AI enough or fear it far too much.

Yes it can tell you how to synthesize chemicals in a detailed step by step, and that's impressive and maybe a little scary, but it also doesn't know how to play a valid move in chess, would mess up instructions in making an omelette, and probably couldn't even solve the New York Times' connections game if you gave it 1,000 tries.

In other words it desperately needs humans to verify that every little step it takes isn't a mistake that eventually cascades into wildly correct answers even for simple problems.

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Conversely people are far too ready to trust AI when there really is a risk of it replacing some industries and making mistakes when people are pushing for it in fields where a misstep in a complex calculation would waste millions of dollars and maybe even affect livelhoods.

These are the people forgetting that if we encourage a widespread rollout of AI, everyone who worked hard to design art for hollywood, or a game studio, or for literally any purpose where the final product is digital, they're out of a job.

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Generative AI (short for Generative Artificial Intelligence) is a Natural Language Processing (NLP) based algorithm capable of processing user input in plain text and responding with varied and near-random output based on millions of lines of training data.

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A routine or set of actions undertaken by logic processors inside computers, typically faster and more efficiently than human capability allows.

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An introduction of a new mechanism or device that allows for progression in a given field. Typically significant.

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A fear of the foreign, colloquially meaning fear of foreign people but literally meaning fear of what is unknown/outside one’s sphere of familiarity.

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A result that is invariable, or inevitable

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All Anyone Knows is that No One Knows Anything

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All Anyone Knows is that No One Knows Anything

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I highlighted all the brewing or current negative consequences in red, and all the potential or currently positive impacts in blue, and as you can see there is an even amount of both. So what does that mean?

It means it's too early to make any definitive assertions about the consequences of generative AI, right now the best course of action is to observe how it affects industries it has already invaded.