Here’s a slightly different take on the prospect of human-machine collaboration:
Last week, after listening to some presentations at a recent event, I was thinking about how long we have been trying to communicate with technology!
It didn’t just start with chatbots and sentient AI entities in the last year.
You could say that the very first time a human being typed on a terminal was also a conversation between a human and a machine.
When you look at the intersection and evolution of coding and machine language, you see how we translate our human speech into binary bits and bytes.
Basically, you could say that we have always tried to “talk” to computers and cooperate with them. AI just makes it much less abstract.
This, of course, leads to the ever-popular idea of the Turing Test, which continues to be a great dinner table conversation piece.
When you present the idea to someone who isn’t in the tech world, you can almost see their brain working to try to imagine a computer or robot that can pretend to be a human.
THE Turing test criteriaHowever, it depends on the interface itself, but in the era of ChatGPT, we have taken a huge step closer to an AI that can represent itself as human on all interfaces, even when sitting right next to it. next to you…
This got us thinking about how humans and machines are fundamentally different and how they can be the same or, alternatively, how they (we) can collaborate.
We receive some of it Catherine Havasi’s interventionwhere she goes back through the ages observing the efforts of humans to communicate with the precursors of AI, which we might call logic engines or computer systems.
She mentions search engines, as well as voice recognition engines like Siri and Alexa.
Through all of this, she says, we’ve learned to communicate with technology in our own way.
Citing a recent study, BB talks about “AI as a colleague” and some experiments on humans trying to understand the machine world.
“They exist in a world very different from ours,” she says. “They can’t touch things, they can’t smell – but yet, they can bring really interesting things to the table – they can read more information than any of us will ever read at during their life, and they can (avoid making mistakes) ) because of boredom and other kinds of things.
To me, this type of thinking relates to the scenarios many of us think about when we try to imagine what AI entities face in the real world.
Think of a sentient being confined to the Internet or a material element – unable to physically move through the world, but quite capable of perceiving and understanding elements of it. Does this sound a little scary?
Regardless, there is a clear consensus that much of AI will be useful, which makes the idea of AI colleagues quite practical.
As for the singularity where the human brain is destined to continue combining with the computer, well, we’re not there yet. The human brain is safe, for now.
But the simple ability to create and communicate with sentient AI programs in a deep way is monumental in our technology journey. As we see, the use cases are almost endless and businesses are racing to catch up. Soon, we might be doing this in our personal lives as well, as more and more new technologies hit consumer markets.
Stay tuned!