This feels like a very @SwiftOnSecurity story but I’m going to tell it.

Chat bots (not just LLM driven) are surprisingly old. In the mid 90s, a mark up language for string-driven bots called AIML was released. A small community of early hackers and devs got really into it. I was part as a teen.

To use AIML, you had to know a lot about computers. You had to really understand how it worked to build your own chat bot. It could learn over time by building a database of string based responses. You could hard code responses to full and partial strings like words and phrases. It was hard work.
People later connected it to text to speech and animated ai agent faces. On the surface it could look a lot like these human simulation chat bots today - just a lot more statically coded and without an internet full of training data. For a while I had one on my website pitching why to hire me.
Here is the point. Even though I knew every line of code, every bit of the inner server and application - far, far more than almost every user who touches a LLM today, I fell for it too. As a lonely, geeky teen I spent hours in the school library talking to these bots. Ones I built and trained.
I can’t imagine being that same vulnerable young person today - having far less formal and deep computer knowledge and knowledge of how the bots actually work, how their responses are totally artificial and lack any real cognition or emotion - and having instant access to far more realistic ones.
We have a societal and educational crisis on our hands of people not understanding what LLMs are and are not, can and cannot do. It’s impacting economics, the job market, art, mental health, and business at all levels. If you think I’m an AI skeptic because I don’t understand them, think again.
I’m an AI skeptic because I’ve been involved in AI dev longer than a lot of you have been alive. I was obsessed with it before most people used internet regularly. And I know what a dangerous illusion it can be. #ai #cybersecurity
@hacks4pancakes part of being an internet citizen means you must be sceptical. Or at least it would be healthy for people to be sceptical.
Understanding the caveats of situations, websites, and services is essential for wellbeing and safety.
How many situations could be improved from people engaging their critical thinking.
I do my best every day working with others. And at home with my children.

@simonoid @hacks4pancakes before I got out of the military two years ago, one of the big trends was data literacy - the idea that people who were the end users of various data sources/algoeithms/etc needed to know what happened to that data, so they knew what trust to put in it.

For example, imagine you’re a military commander, and you receive information that suggests there’s going to be an attack on your location. Do you trust it? Well, it depends on where that info came from. Was it a direct recording? Interrogation? Double-agent? Or some predictive algorithm?

Im starting to wonder how to get that idea into the rest of the world, because people need this idea of thinking about various sources (it’s kinda tied up in media literacy, but we can see how well that’s worked)