#AI Prompt
Original text:
I’ve been playing around with GPT-4 and I think I’m starting to get a grasp of how to use it.
Information is the new “raw material”.
Information is a set of words and numbers with representation of a language and a group of ideas that try to point towards something. This may be an idea or anything they can relate it to using text (and later using any other type: images, URL’s, videos…)
Which later can used as the independent set of ingredients, which given a direction and a correct manufacturing of the resources, can be the cooked, with the end goal of becoming a salad.
{Extra comment from Admin: GPT, please extract the ideas and produce a story that’s short and simple to understand. Another way of doing this would be: information is the raw material that can be inserted into a manufacturing process, which would consist of extracting the information in its purest form and u sing it not only as a full-text transcript, but give it order and use the single variables inside the text AI prompt in interesting ways, benefiting from the abilities of AI to extract data. We could create performance indicators, define metrics and try to go towards AI goal alignment.}
… inserted into this machines, that are understanding of the input, can interpret, extract, correlate…
Which then produces Intelligence, which if we think about it, intelligence is the sum of information, collected and structured in the direction of a perspective or a given thought.
At least, in my experience using Open Ai GPT, Midjourney, Bing, LLaMA from Meta and Bard from Google.
The first thing to do is create a pathway from what’s happening offline and online, into a “Text structure” [Commonly called AI Prompts.]
I have been studying Python and some devops with “Git”.
Right now though, I’m mainly using Airtable, Notion and Google Spreadsheets… Directly with gpt or through Zapier or Make… following the trends of no-code and low-code development, automation tools and workflows with connected internet of things, zapier, airtable, shortcuts and many more.
I’m also interested in developing machines that can integrate intelligence that previously was not cost-efficient, as the example of {Jordan Peterson Performance Indicators}