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In other words, the goal of AGI is essentially to create the most human-like AI possible.
This will be an AI that can teach itself to essentially operate in an autonomous manner.
His company develops healthcare software that uses AI to perform specific tasks.
It can help doctors diagnose diseases based on medical data.
But [AGI] goes beyond that, says Monsoor.
He says intelligence is what differentiates us humans from any other species on the planet.
It has several attributes.
An AGI system would be able to reason and chain thoughts, similar to us humans.
He says the tasks that we can do with AI today are typically limited to non-autonomous tasks.
It is also able to correlate existing data with other key information you provide, says Karaman.
How does AGI defer from AI?
Karaman says AGI, on the other hand, will feature reasoning and chain of thought.
This will enable more autonomy and agency.
Instead of presenting us with information, AGI will be able to go do a task end to end.
That would be the key difference between AI and AGI, points out Karaman.
Ferguson too believes it’s crucial to distinguish between true AGI and the current state of AI.
He thinks related technologies will continue to come and transform our lives and our economies at an unprecedented pace.
Ferguson also thinks the pursuit of more general and flexible AI systems is already yielding significant commercial benefits.
For instance, he says, LLMs are being used in a variety of tweaks beyond just content generation.
Hoffman credits this advancement to increased investment and research in AI technology.
How far are we from true AGI?
In my professional opinion, we’re likely decades away from this level of artificial intelligence, he says.
Despite estimates for AGI varying widely among experts, Hoffman also believes we are far from true AGI.
AGI however has the potential to unlock even greater advancements across industries.
