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The Rise of Purpose-Trained Intelligence: Why Owning Your AI is the Future
There's a scene in "Minority Report" where Tom Cruise's character, John Anderton, uses a futuristic touchscreen to manipulate holographic data. The screen responds instantly to his every touch, displaying information with unprecedented speed and accuracy.
The answer is: We can, but not with generic AI. Not with someone else's AI. With your own AI. Specifically, with purpose-trained intelligence systems. These are AI systems that are trained on specific data sets and tailored to meet the unique needs of a particular organization or individual.
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They're designed to be owned and controlled by their users, not rented from some faceless corporation.
Why do we need them? Because generic AI is yesterday's news. It's like having a smartphone that can only make calls and send texts. Sure, you can do those things with it, but what about all the other amazing things your phone can do now? The same goes for AI.
We've moved beyond basic tasks like image recognition and voice transcription. We're building AI systems that can predict stock prices, diagnose diseases, and even write music compositions. But to do these things, you need an AI system that's trained specifically for your needs, not someone else's.
Consider the case of OpenAI. The company behind the popular chatbot, ChatGPT, recently released a new version of its AI model, GPT-4. This model is supposed to be "orders of magnitude better" than its predecessor, with the ability to "understand complex concepts and reason about them in ways that are more similar to how humans do." Sounds impressive, right? But here's the catch: OpenAI won't release GPT-4 unless you sign a non-disclosure agreement (NDA). That means you can't use it for your own purposes. You can only use it if OpenAI says so. Is that really the future we want?
No, it's not. We want a future where AI systems are owned and controlled by their users, not rented from some faceless corporation. A future where AI is tailored to meet the unique needs of a particular organization or individual.
So how do you get one? You start by identifying your specific needs. What do you want your AI system to do? Who do you want it to serve? Once you have answers to those questions, you can start building an AI system that's tailored to meet your unique needs.
That's what purpose-trained intelligence systems are all about. They're designed to be owned and controlled by their users, not rented from some faceless corporation.
But don't just take my word for it. Look at the examples of rulebreakers and boundary-pushers who are pushing the limits with purpose-trained intelligence systems. Companies like Stripe and Coinbase are using AI to revolutionize their industries. Scientists at MIT are using AI to predict the onset of Alzheimer's disease years before symptoms appear. Musicians like Grimes are using AI to create new kinds of music compositions.
