Things I Hate About AI

Anyone who knows me will tell you, I'm not a Luddite. Quite the opposite. I like shiny new technology. I have a closet full of broken tech dreams i.e. all kinds of cool gadgets that were either ahead of its time or outlived its rather cool usefulness. So, when I tell you about the things I hate about AI, it's not a knee jerk reaction. In fact, I wrote a number of papers in the mid-2010s about the potential of AI to help us mere humans.

I don't think that AI is reaching that potential. My list of things I hate about AI is partly why I believe that. 

1. It's often wrong but sounds right. Unless you have expertise in an area, you can't tell if the AI answer is true or not. If you do have expertise, you don't need it. This is an example where no answer is a better answer. I've learned to only use AI in situations where I can truly evaluate the answer's veracity.

2. It makes us lazy. We stop doing learning simple things because the AI does it for us, just, you know, wrong. Lazy isn't necessarily bad. A lot of great software was created by people too lazy to do a simple task. Lazy plus wrong, however, is a toxic combination.

3. All that typing or speaking when a couple of button clicks will do is not progress. We moved away from command lines for a reason - they were too much work for a lot of tasks and error prone. GUIs, designed right, have democratized computing. Which brings me to…

4. AI is being used to make up for bad UI design. Instead of spending bazillion dollars on AI, try fixing your horrid interface or placing that one important selection right up front. I guess we're back to the lazy thing again. Seriously, if I have to ask an AI agent to find and change a setting for me, then the UI is not working out.

5. Generative AI slop is ruining art for everyone simultaneously. Art has soul. Art has creativity. A prompt doesn't count as either and all AI can do is mimic something already created. The problem is that people are getting used to the idea that AI can create art and that what it spits out is art. 

6. AI slop in general but especially code. When revered open source projects like cUrl have to stop bug bounties because of it, you know it's destructive. It's another effect of the intersection of lazy and wrong. You get code, plans, writing, and search results that are not useful. So, it's a waster of everyone's time and resources.

7. The environmental impact is not worth the results. Is the consumption of massive amounts of energy, and the pollution that comes with it, worth what we get from AI? The true ROI is lousy when you take the damage into effect.

8. RAM, once a cheap commodity item, is increasingly expensive because of AI needs. The irony is that there may not be PCs capable of running AI apps because of AI. Once the cost of the endpoint exceeds the benefits of the service, which will be discarded first? I'm betting on the AI.

9. General AI is purposeless. Domain specific AI adds value to whatever tasks you are doing. General AI, especially chat, is a time suck. It's like voice activated everything. It makes sense in the car but not in a crowded office, or church. AI is like that. It has to be used where it makes sense and it's not. That means it needs to be tailored to and restricted to specific domains. Copilot for Microsoft 365 is actually useful. General Copilot on Windows? Less so, by a lot.

It is apparent from my list that I doubt the long-term ROI on AI. That's a money problem and hence, not my concern. My chief concern is that using AI doesn't yield consistent, high-value benefits in most instances. The societal costs - cost of RAM, environmental damage, relying on false information, and the laziness it breeds - are everyone's problem.