The age of Deep intelligence

 I may be wayyyyyyyy of base on this but who cares. I think with the rise of LLMs(large language models) doing deep research which is a fantastic tool, seems to potentially open the human mind to more information. If the introduction of computers and the internet is consider the information, LLM has along with the brilliant minds of programmers to make a tool for researching with LLMs has given us deep intelligence age. What does that mean.

Of course with the help of that sweet google AI search the information age is characterized by the following: the shift of traditional industries into an industry using information technology and manipulation of data. Very simple but of course this topic can be very complex about how information technology changed the way our lives changed from the workplace to day to day. I will focus more on the manipulation of data. It is an amazing feat on how humans went from information being limited to the ability to read and write, to accessibility to readily available. For most of the 20th century the world was slowing evolving have an abundance of information accessible to them. This is very clear with what technology came into existence(radio, telephone, telegrams, roads, planes, advance transportation). We assume all this was related to being able to talk, or move folks around, or goods. That was not it at all. All these things were designed to move data around. Moving products faster into under developed countries exposed them to products they could not think of and how they could do it themselves, people being moved quicker from one ocean to another allowed for data to be accessible as soon as a person had an idea they wanted to clarify, and telephones and telegrams allowed that information to spread faster than waiting weeks or months to get a new understanding on something. I believe with the information age, that became pinnicale of ease of access for data. Now anyone with a drop of a hat can look up information from anywhere in any language.

So to me, this is where deep intelligence comes in. With LLMs being introduce and there ability to put words together(in this case predict with a good amount of accuracy tokens to form words that relate to what is being asked), it allows for more understanding. If I want to learn something, the hardest part is often finding someone who can break it down in a way that's actually understandable. That’s not an easy skill. You’ve probably heard the phrase, 'If you can’t explain it simply, you don’t understand it well enough.' But I think that’s a bit harsh. The real challenge isn’t always about simplifying — it’s about finding the right words to connect the idea to another person’s understanding. In your own mind, it might all make perfect sense, and others in your field might get it too. But turning what you know into something teachable is a whole different skill. If you've never had to teach someone, how can you be sure you’re truly ready to share what you know?(I did have LLM clean up this paragraph since I was rambling.) I think that is the magic of LLM. It can take a topic and find the words(tokens) with some accuracy to give you an explanation. Most of the time it is spot on. Unlike humans, they don't get upset. They find newer tokens(words) to put it together. I think this is why I feel with the introduction of deep research, this will lead humans to not just manipulating data, but fully understanding it. The ability of using an LLM, to put things together from different sources, and then converting that into language that an individual can understand has profound benefits. No longer is there a gatekeeper of academics or limited by high level complexity of words since LLMs can break those down. That means overtime, as these LLM wrappers(additional software tools designed around LLMs to give LLMs more options than being a fancy word predictor) get more advance, the ability not just to manipulate data but get a fuller understanding of that data at the human level will be profound. You can see that now with certain research being down with cancer and protein insight in science, the fact that this type of AI is being used to help with research is unlocking the human potential of areas of ideas that most humans thought were still ways away from understand but we are now getting access to.

This is why I feel we are entering a new age from information age to deep intelligence age. Where the technology is not just a tool, its is open the human brain to more possibilities of learning. If not a deep intelligence age, it is a subset of the information age where instead of manipulating data, its giving us potential to unlock more data faster than before.