How is Ai different than coding?

"Zuckerberg Says AI Will Replace Mid-Level Engineers Soon"


How is Ai different than coding?

 

all the code reviews will be done by ai, aka, your mid-level managers

 

AI can improve / correct the sentence but coding cannot.



eg

How is Ai different than coding?
----->
How is AI different from coding?

 

Only a human can break Ai from a false loop

 

AI and coding are interrelated but distinct concepts in the realm of technology. Here’s a breakdown of the differences:

1. Purpose and Functionality:
   
   • Coding is the process of writing scripts and programs using programming languages. It's a way to instruct the computer on what tasks to perform, and it's very specific — the computer will only do what the code tells it to do.
   • Artificial Intelligence (AI), on the other hand, involves creating systems that can perform tasks typically requiring human intelligence. These tasks can include recognizing speech, making decisions, translating languages, and more. AI systems are designed to learn from data and improve over time, often using complex algorithms and models like neural networks.
2. Flexibility:
   
   • Coding is generally static. Once you write a program, its functionality doesn’t change unless you update the code.
   • AI is dynamic and can adapt. For instance, an AI trained to recognize objects in images can improve its accuracy as it processes more images or as its algorithms are refined.
3. Development Process:
   
   • Coding requires a more straightforward, rule-based approach. You write the rules, and the computer executes them.
   • AI development involves training models on large datasets. It’s not just about writing rules but also about enabling the machine to learn these rules itself from the given data.
4. Complexity and Scope:
   
   • Coding can be part of building AI applications but is also used for countless other types of software that do not involve learning from data.
   • AI can encompass simple machine learning models to complex systems like deep learning, which are capable of processing and making decisions based on vast amounts of unstructured data.
5. Dependencies:
   
   • Coding relies on the programmer’s ability to foresee and implement every required action or response.
   • AI relies heavily on the quality and quantity of the data it is trained on, and its performance can improve or deteriorate based on how representative the training data is of real-world conditions.

In essence, coding is a way to build software, including AI, while AI is a branch of computer science focused on building systems that mimic human intelligence.

 

Basically, machine learning (one aspect of AI) is different from coding in that in traditional coding, the code operates on the data, reads the data, etc. The data is fed into the program, which produces an output. In machine learning, the data is used to "train" the program. The program is specifically designed to be able to learn from the data. Once the program is trained on enough data, it is used to attempt to predict the future by giving it new test data that it has not seen before.

 

Coding is rule-based, while AI is adaptive. AI still needs coding to function, but it can think beyond fixed rules and adjust on its own. AI might speed up coding, but it won’t fully replace engineers. Creativity, problem-solving, and system design still need human thinking. Instead of replacing, AI will likely help engineers work smarter.

 

Bot?

 

I don't know anything about this stuff, but I've seen several videos showing AI creating code for someone that doesn't do any of the actual script. Sometimes the human has to correct a script or change the order, but it looks like the AI chatbots can indeed code on a college level.