In today’s episode, Brian asks, “any predictions on what might happen with content marketing in the next 10 years?”
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.
Christopher Penn 0:13
In today’s episode, Brian asks any predictions on what might happen with content marketing in the next 10 years? No.
can’t predict that no idea.
Absolutely no idea.
And here’s why.
In the last four years, natural language generation, the ability for machines to write to create content has leaped from crap to mediocre, which is a huge leap.
It’s a big, big move.
Until about 2018, machines could barely put words together.
And it didn’t make sense.
At the end, you know, they were really useless.
And then around 2018, we started getting these transformer based models, BERT and Bart, and GPT, and so on, so on and so forth.
That because of the their technology, the way they use embeddings, and stuff, they’re able to put together much more coherent language and create content that’s mediocre.
They can write press releases, like nobody’s business, the business of writing press releases, is going out of business, because machines can do it better.
Nobody reads them, right.
I’ve been saying for years.
Nobody reads their child press releases before bedtime.
Right? Nobody, unless you really want to put your kid to sleep fast.
But we read stories to our kids all the time.
So that’s just four years, we’ve had a quantum leap, or I should say, a big leap, because it’s not technically quanta computing.
We had a big leap in four years.
What’s going to happen? The next 10? Who knows? Because we’re already seeing some amazing leaps ahead in a lot of these much bigger transforming models, and how we use them, how we distill them down how we do hyper parameter tuning on them.
We have a huge question mark.
In technology of quantum computing, quantum computing, is a type of computing, using the principles of quantum physics that much more closely mimics how the human brain works, right? Our brains are really amazing.
They’re these massive networks of relatively slow processors, right? That are just meshed together as huge network.
And the processors are analog, they’re not zeros and ones, they’re graded as zero and one everything in between them, there are certain thresholds after which a processor will output something.
That’s how nerves work your your the nerve cells in your brain.
Quantum Computing, is starting to be able to do the same thing right now we’ve got a computer that is stable at about 100 qubits, which would be like a human brain with 100 cells.
But as the technology improves, as we can stabilize it, we can deal with the temperature issues.
Expect to see you know, 200 cubits 500 cubits, and then at a certain point, these machines which by the way, we operate at the speed of light, and our brains operate far below that, we’ll be able to do the kind of fuzzy thinking that the human brain is really good at that could happen in the next 10 years.
And if that does, that will radically change all forms of computing, because machines will then be able to think in non binary terms, they will be able to make decisions that have shades of gray, as opposed to just yes or no zero or one.
And that would change content marketing forever, because at that point, a machine could be able to start understanding what it’s creating.
If you look at the natural language processing models that exist today.
They no matter how complex they are, no matter how good the content, they seem clear, they have no actual understanding, the machine does not understand what it’s saying.
If you type in the sentence, five plus four equals right, or 22 plus 19, equals none of these machines will write one of the mathematical answers because they are not reading the texts.
They’re not understanding what they’re saying.
But what if you were to introduce that kind of fuzzy thinking, that becomes possible for them to start to create cognition within machinery.
And that’s at the point where you can start getting things like artificial general intelligence machines, with sentience with sapiens.
And then we have to have some very existential conscious conversations about humanity in general.
But that’s that’s still ways off.
But within the next 10 years, who knows,