{"id":332,"date":"2025-09-09T22:59:44","date_gmt":"2025-09-09T22:59:44","guid":{"rendered":"https:\/\/spydr.io\/?p=332"},"modified":"2026-09-10T05:30:36","modified_gmt":"2026-09-10T05:30:36","slug":"ai-and-our-future-part-1-the-good-the-bad-the-ugly","status":"publish","type":"post","link":"https:\/\/spydr.io\/?p=332","title":{"rendered":"AI and our Future Part 1: The Good, The Bad, The Ugly"},"content":{"rendered":"\n

Posted on March 9, 2023by jwallace<\/a><\/p>\n\n\n\n

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\u201cArtificial intelligence and machine learning, as a dominant discipline within AI, is an amazing tool. In and of itself, it\u2019s not good or bad. It\u2019s not a magic solution. It isn\u2019t the core of the problems in the world.\u201d -Vivienne Ming, executive chair and co-founder, Socos Labs<\/p>\n<\/blockquote>\n\n\n\n

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In<\/strong> this multi-part series, I will be discussing Artificial Intelligence (AI) and its effect on humanity and our future. A lot has already been written about AI and its effects, especially with recently released tools like ChatGPT and Stable Diffusion. However, much of what has been posted, liked, upvoted, and recycled on the internet involves fear and clickbait. In part 1 of this series, I will talk about the good, the bad, and the ugly side of our AI future.<\/p>\n\n\n\n

The Good<\/h2>\n\n\n\n

There are many things that AI and the computers they are built on can do better than humans. Number crunching, holding information, automation, and pattern recognition. As the computers we build become faster and faster, the AI we build on top of them becomes smarter and smarter. While there is much to be afraid of, there is a lot to be optimistic about as well. For example, let\u2019s talk about AI in healthcare and medicine. In 2022, my wife was experiencing lower back pain that would not go away. It continued to the point that she could not lay in bed and would be curled up on the floor in extreme pain. After a couple of trips to the emergency room and an MRI scan, the hospital found that a spinal disk had bulged out and was compressing her spinal cord. This type of injury is called Cauda equina<\/a><\/strong> and it is an emergency medical situation. The closest hospital to us is small but it does serve a retirement community that requires a lot of back-related surgeries. Because of this, the hospital had recently hired a new surgeon and bought a new AI-powered, robotic arm for back surgeries called Excelsius GPS<\/a><\/strong>. The arm was designed to assist doctors during surgeries by improving placement (cuts), reducing the need for radiation imaging, and decreasing operating time. Without that AI-assisted machine and her surgeon, she would have had to be flown to larger hospital hours away. After the surgery, the surgeon stated that if she had been airlifted she would most likely have been paralyzed from the waist down.<\/p>\n\n\n\n

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ExcelsiusGPS in action. https:\/\/www.globusmedical.com\/musculoskeletal-solutions\/excelsiustechnology\/excelsiusgps\/<\/figcaption><\/figure>\n\n\n\n

Not only can AI help assist doctors in surgery but it can also help in one of the hardest parts of medicine, diagnosing a patient. How many times have you gone to a doctor\u2019s office with an aliment and it takes multiple blood tests or imagining to figure out what your aliment is? In 2018 an AI called Biomind beat a team of doctors in Beijing<\/a> in diagnosing brain tumors and hematoma expansion. It was able to look at brain scans and diagnose correctly 87% of the time vs the human doctors who were only able to diagnose 66% correctly. In 2020, a state-of-the-art associative AI was pitted against 44 doctors in a test set of 1671 real medical cases. The AI was able to diagnose 77.26% correctly while the doctors were only able to diagnose 71.40%. Imagine a world where you can type in your symptoms and get a reasonable diagnosis within minutes. Or how about an implant that can monitor your body and alert you instantly to a medical emergency or a growing tumor?<\/p>\n\n\n\n

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AI-generated warehouse robot<\/figcaption><\/figure>\n\n\n\n

What about AI in productivity and manufacturing? A company I worked for wanted me to head out to their warehouse and map out and hang wireless access points. They wanted this because they were setting up an AI-assisted warehouse system to pick, pack, and ship products. The goal is that it would increase product tracking and product movement from their warehouse to the customer. Hell, the access points we went with had AI built into the software to help with dropouts and signal optimization. In the service industry, tools like ChatGPT can handle routine customer support requests, freeing up employees to handle more complex tasks. Developers and software engineers can speed up coding by having AI write the mundane structures of the code while they handle the more complex algorithms. Companies like Microsoft, Salesforce, and Google are using AI to help users write emails and generate marketing content.<\/a><\/p>\n\n\n\n

One of the most valuable finite resources in the world is time. The time we have on this earth is finite (at least for now) and AI has many benefits in assisting our lives and giving us back time. That being said AI could certainly come to the point that it gives people too much time by taking over entire industries and jobs. This leads us to\u2026<\/p>\n\n\n\n

The Bad<\/h2>\n\n\n\n

Right now we live in an AI-assistive world. I use it for spell-checking and article flow. I use it to check my code and format it correctly. I use it for image generation and even SEO. So what happens when AI assistive becomes AI controlling? Let\u2019s start with the fat elephant in the room which is Chatgpt<\/a> created by OpenAi. ChatGPT is a:<\/p>\n\n\n\n

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.. a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.OpenAi<\/p>\n<\/blockquote>\n\n\n\n

If you haven\u2019t used it I would highly suggest going over and having a conversation with it. I myself have used it countless times since its release to test its limits and to assist me in tasks. That being said companies are already replacing customer support roles with ChatGPT<\/a>. As time goes on here are some more jobs that could very easily be replaced in the near future:<\/p>\n\n\n\n