Everyone AI
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Everyone AI

Disclaimer

The views and opinions expressed here are mine alone and do not necessarily represent the views of any organization or entity with which I may be affiliated. I am using AI tools in the creation of this work.

AI is for you.

There is a lot of hype, fear, uncertainty, and doubt circulating about Artificial Intelligence. Many of the people I talk with daily are put off by it. From outside it looks hyper technical with people describing tokens, or vectors, or insert some other techno babble here.

It is important we start this journey on solid ground, so I will admit, AI is really technical, but the technical stuff is mostly behind the scenes. The way we talk with AI is becoming easier and more useful everyday. Think of AI the way you would think about a really good mechanic, a good mechanic knows lots of things that wouldn't make sense to most folks. You still drive right? Many of the best thinkers I know think AI will be more important than electricity, as we look back on breakthroughs in human productivity.?

Over the last 100 years humanity has experienced the industrial revolution, electricity, flight, digital computing, Space flight, the internet, personal computing, mobile… Many think this next evolution will accelerate our productivity many many times faster than before. Living through his new age of wonder we will have a choice, duck and cover, or engage and run full out.?

I fear the duck and cover route is the way of the DoDo. For me, I am all in, and want you to come with me. Over the next few weeks I am going to be digging into AI tools and tricks and explaining ways we can begin using it, FREE in a lot of cases.?

How we got here Before we get to the fun stuff, it is useful to look back and check in on how we got here. Remember those cool robots in movies like Star Wars? We're not quite there yet, but AI is already changing our lives in incredible ways. And guess what? It's not just for tech wizards anymore. AI is for everyone!

The Early Days (1950s-1970s)

Imagine teaching a computer to think like a human. That was the big idea back then. It all started with the Dartmouth Summer Research Project on Artificial Intelligence, where a group of brilliant minds gathered to explore the possibility of creating intelligent machines. Early AI programs like ELIZA](https://en.wikipedia.org/wiki/ELIZA) were pretty basic, but they showed the potential of AI. Of course, computers were huge back then, and AI was still taking its baby steps.

The AI Winter (1970s-mid-1990s)

Just like us, AI had some growing pains. Progress slowed down for a bit due to limited computing power and data. This period is often referred to as the AI Winter. But don't worry, AI wasn't giving up!

The Rise of Machine Learning (mid-1990s-present)

Instead of programming every single rule, scientists started teaching computers to learn from data. This is called machine learning, and it's all around us! Think of spam filters or movie recommendations. That's machine learning in action!

The Deep Learning Revolution (2010s-present)

Imagine a super-smart brain inside a computer. That's deep learning. It's powering some truly amazing things, like self-driving cars, medical diagnosis, language translation, and winning game shows. Deep learning helps computers understand and respond to what they see and hear.

AI is for Everyone

The future of AI is full of possibilities. Who knows what amazing things we'll create together? So, let's embrace this exciting technology and see where it takes us!

?Here are a few of my favorites.

Gemini - https://gemini.google.com/app

Grok - https://x.ai/

ChatGPT -https://openai.com/index/chatgpt/


#Everyone-AI #AI #MachineLearning #Technology #FutureOfWork


David Alexander

Automating Cloud-Native Security and Best Practices

1 周

While I'm admittedly an AI pessimist (for reasons related to the increasingly plausible hallucinations as the tech develops), one use that is often overlooked is as an accessibility tool for neurodivergent folks, such as autistic folks who have trouble reading tone or ADHD folks who lack executive function to compose how to break down tasks into smaller chunks (yet can verify correctness of an AI's attempts to do so). I rarely see anything written about that use case, but it's an incredibly important one that works around hallucination problems with the technology. Look no further than things like https://goblin.tools for a usable (free) example.

Woodley B. Preucil, CFA

Senior Managing Director

1 个月

David Sims Fascinating read. Thank you for sharing

回复

David Sims what use cases are you focusing on?

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