Fix links

Author: khnumdev

_posts/2026-01-31-ai_wonderland.markdown

@@ -6,10 +6,9 @@ tags:
 categories: tech, philosophy, ai
 ---
 
-## Entering the AI Wonderland
 I have been using AI tools for a while now, but recently, with the explosion of generative AI, it feels like I've stepped into a whole new world. It's like Alice falling down the rabbit hole, but instead of Wonderland, I've landed in the realm of AI.
 
-My first contact with AI (let's call it very primitive AI) was during my college years, implementing algorithms for solving math problems, identifying license plates, and basic image recognition. I mentioned this when discussing how technology has evolved over the past decades in [Some thoughts about technology](/2023/12/30/tech_thoughts/), especially regarding how autonomous car solutions involved placing sensors on roads instead of in cars that could *understand* the environment through AI. Back in 2016 I was experimenting with an AI bot using [Microsoft Bot Framework](https://web.archive.org/web/20240914035204/https://geeks.ms/aperez/2016/11/09/buscando-la-felicidad-con-bot-framework-y-cognitive-services/); my old blog is no longer available, but the link shows that post—in Spanish—about that experiment. I developed a bot with a *spicy and dirty* corpus that would argue with you about everything you said to it. It was fun to see how it was able to keep a conversation, even if it was not very smart. But I used it to analyze the human behavior when interacting with a bot, and how people tend to be rude with it, even if it is just a program. The conclusions were interesting, as people tended to be more rude and angry when the bot responded rudely, even though they knew it was just a program. I didn't expect this because all participants knew it was a bot and understood the corpus, yet the results were clear.
+My first contact with AI (let's call it very primitive AI) was during my college years, implementing algorithms for solving math problems, identifying license plates, and basic image recognition. I mentioned this when discussing how technology has evolved over the past decades in [Some thoughts about technology](https://khnumdev.github.io/tech,/philosophy/2023/12/30/tech_thoughts.html), especially regarding how autonomous car solutions involved placing sensors on roads instead of in cars that could *understand* the environment through AI. Back in 2016 I was experimenting with an AI bot using [Microsoft Bot Framework](https://web.archive.org/web/20240914035204/https://geeks.ms/aperez/2016/11/09/buscando-la-felicidad-con-bot-framework-y-cognitive-services/); my old blog is no longer available, but the link shows that post—in Spanish—about that experiment. I developed a bot with a *spicy and dirty* corpus that would argue with you about everything you said to it. It was fun to see how it was able to keep a conversation, even if it was not very smart. But I used it to analyze the human behavior when interacting with a bot, and how people tend to be rude with it, even if it is just a program. The conclusions were interesting, as people tended to be more rude and angry when the bot responded rudely, even though they knew it was just a program. I didn't expect this because all participants knew it was a bot and understood the corpus, yet the results were clear.
 
 Years later, I collaborated on AI-related projects, working on typical applications like anomaly detection in time series, image recognition for quality control in manufacturing, and similar tasks. Nothing fancy, but useful. I remember one project that aimed to detect breast cancer in mammograms using convolutional neural networks, but the results weren't as good as expected—AI performed about as well as humans for that task.
 
@@ -100,7 +99,7 @@ And let's not forget the environmental cost. Training large AI models consumes e
 
 AI feels like a true third revolution—something that will fundamentally change how we live, work, and interact. It's like having all content available with just a prompt—a superpower if used correctly. It feels like ages since I didn't use AI daily, but it was just months ago. Things are moving rapidly: new models, startups, and companies appear constantly. Every week there's something new about AI, and it's hard to stay updated.
 
-I also suspect we're in a bubble. Eventually, funding will dry up and some AI companies will disappear, just like the dotcom bubble. [History will repeat](https://jasonzweig.com/lessons-and-ideas-from-benjamin-graham-2/), and most AI companies aren't profitable or lack sustainable models—much like [Lucent Technologies](https://en.wikipedia.org/wiki/Lucent_Technologies) will cause issues in the system. But that doesn't matter. AI will prevail, and there will be two types of users: those who use AI and those who don't. Like during the early internet era, many people *didn't understand what the internet is*; like in the 1970s-80s, many people *didn't want to use computers because they were too complicated*. Now we can't imagine an architect without AutoCAD, a doctor without access to online medical databases, or a finance department without Excel. I want to emphasize my post [Some thoughts about technology](/2023/12/30/tech_thoughts/) again: barely 15 years ago, video calls from mobile phones weren't possible. 
+I also suspect we're in a bubble. Eventually, funding will dry up and some AI companies will disappear, just like the dotcom bubble. [History will repeat](https://jasonzweig.com/lessons-and-ideas-from-benjamin-graham-2/), and most AI companies aren't profitable or lack sustainable models—much like [Lucent Technologies](https://en.wikipedia.org/wiki/Lucent_Technologies) will cause issues in the system. But that doesn't matter. AI will prevail, and there will be two types of users: those who use AI and those who don't. Like during the early internet era, many people *didn't understand what the internet is*; like in the 1970s-80s, many people *didn't want to use computers because they were too complicated*. Now we can't imagine an architect without AutoCAD, a doctor without access to online medical databases, or a finance department without Excel. I want to emphasize my post [Some thoughts about technology](https://khnumdev.github.io/tech,/philosophy/2023/12/30/tech_thoughts.html) again: barely 15 years ago, video calls from mobile phones weren't possible. 
 
 Every day I read cases where people ask AI about medical issues and it usually gives good responses, or [how AI helps in protein research](https://www.science.org/content/article/ai-revolution-comes-protein-sequencing). The kinds of new things that are now possible are almost impossible to imagine. Just think about the possibilities in the next 5-10 years. Personally, I expected quantum computing to be the next big thing for problems that seemed unsolvable, but AI is here now and impacting our lives.