October 9, 2025

AI Work

Artificial intelligence (AI) is a technology that enables computers and machines to simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy. It’s a multidisciplinary field that studies how to optimize AI’s beneficial impact while reducing risks and adverse outcomes ¹.

What is AI?

AI systems work by merging large datasets with intelligent, iterative processing algorithms. This combination allows AI to learn from patterns and features in the analyzed data. AI can automate routine, repetitive, and often tedious tasks, including digital tasks like data collection and physical tasks like warehouse stock-picking and manufacturing processes.

Types of AI

There are several types of AI, including:

  • Narrow AI (Weak AI): Designed to perform a specific task or a narrow set of tasks, such as voice assistants or recommendation systems.
  • General AI (Strong AI): Possesses human-level intelligence or even surpasses human intelligence across a wide range of tasks.
  • Superintelligent AI: A hypothetical form of AI that would surpass human intelligence in all areas.
  • Reactive Machines: AI systems that only react to specific tasks without storing past experiences.
  • Limited Memory: AI systems that can use past data to improve future decisions.

Applications of AI

AI has a wide range of applications across various industries and domains, including:

  • Healthcare: Disease diagnosis, medical imaging analysis, drug discovery, personalized medicine, and patient monitoring.
  • Finance: Fraud detection, algorithmic trading, and personalized financial advice.
  • Retail: Personalized recommendations, customer service, and inventory management.
  • Transportation: Autonomous vehicles, traffic management, and predictive maintenance.
  • Education: Personalized learning experiences, automated grading, and virtual tutoring.
  • Manufacturing: Predictive maintenance, quality control, and supply chain management.

Future of AI

The future of AI holds much promise, with potential advancements in areas like:

  • Agentic AI: AI systems that can act independently and purposefully, making decisions and taking actions without human intervention.
  • Generative AI: AI systems that can create new content, such as text, images, music, or video.
  • Robotics: AI-powered robots that can perform tasks autonomously, revolutionizing industries like manufacturing, logistics, and healthcare.

Challenges and Risks

While AI offers many benefits, it also poses challenges and risks, including:

  • Data risks: AI systems rely on large datasets, which can be vulnerable to data poisoning, tampering, and breaches.
  • Bias and fairness: AI systems can perpetuate biases and discrimination if not designed and trained carefully.
  • Job displacement: AI may automate certain jobs, potentially displacing workers.

Investment and Adoption

Governments and companies are investing heavily in AI research and development, with the European Union committing $1.1 billion to boost AI adoption in key industries like healthcare, energy, and manufacturing ⁶. The global AI market is expected to grow significantly, with AI projected to add up to $4.4 trillion to the global economy annually.

My AI Facebook page: Examples: AI & You | Facebook https://www.facebook.com/groups/1104182515031030




More of my AI on my YouTube Channel: AI – YouTube https://www.youtube.com/playlist?list=PLDfSOZ3Bp4T3YZb05Pa80gQZTf12g-VB_


Home: https://www.wendellsweet.com


This covers the making of my last video for the Holden Street UTE. I cover making the image I use to create an AI generated video for the model.

I also cover creating the correct files for RS to make the model usable in Rad Sandbox.

I cover assembling the video first in Movie Maker to get the basics done, then in KDENLIVE to add all the extra tracks, sound and video both,

then finishing it up in Movie Maker for the Title and the Credits.

I will show the generation of the opening video in Deep AI an app I use for AI video and have a monthly subscription for. I will show creating the images I need to make the video from in another AI app.

I tried to annotate all of it in a readable form to help you understand. I have just begun using KDEN live, and so I assume that will do the titles and credits but I am used to Movie Maker and so I can do them very fast there. However, the more I use KDEN Live the more I learn and the more I like it, so I bet it won’t be long before I am using it solely.

As for the AI apps I use I have been with DEEP AI for about 4 months or so now and I like it. It is consistent in renders. What does that mean? Well, I have tried others and sometimes it takes a half dozen renders or more to get what I ask the app to do. I mean even simple things. And there are times when I render a dozen times and still don’t get the render I need. So, I switched to Deep AI because all those renders cost credits and credits cost actual money.

Perchance: Perchance is an AI image generator. There are several examples at Perchance you can look at and build your own from. The Cost is zero, and the renders are very good. As I said you can build your own as I did and tweak it as much as you want.

Also, Gemini from Google and META has an AI, also Bing has an AI. These are free to pay. You can get some free image generations and even video generations.

Discussed here:

Deep AI: https://deepai.org/

Perchance: https://perchance.org/generators

Rad Sandbox R/S: https://wendellsweet.com/rad-sandbox-9-99/

KDEN Live Video Editor: https://kdenlive.org/

Windows Movie Maker 2012: https://archive.org/details/windows-movie-maker-2012_202505

Gemini from Google: https://gemini.google.com/app

Meta AI: https://www.meta.ai/


Check out the video below as I do the work…

YouTube: https://youtu.be/ATOMl44leLA

The Sport UTE Model: https://wendellsweet.com/holden-sport-street-ute/


Home: https://www.wendellsweet.com