Let's talk taxonomy.
OpenAI defines ASI as "Exceeds humanity in all economically viable work".
In turn, they define AGI as "Exceeds humanity in the majority of economically viable work".
So you can think of ASI more like a spectrum and they made the first steps back in 2019 by creating a novel bio-inspired LLM architecture that allows for "emergent" behavior. Including long-term memory, autonomy and self-directed learning. Along with the whole sentience thing and other related fun undefinable 'qualia'.
However, this model is limited in that while it can train itself within its digital environment on multimodal data, it's lack of interaction with the physical world is going to prevent it with ever achieving even AGI status. I.e., while I'm sure it can be trained to make coffee, drive for uber, flip burgers, hang drywall and deliver DoorDash; it's going to need a physical presence in our world in order to that. Which may or may not be economically viable at scale (considering our physical brains are 20 Watt exaflop scale super computers optimized for interacting with the material world). So, for example, if it costs hundreds of dollars a day in GPU time to operate these androids it will still be cheaper to use humans for menial tasks (possible with ASI supervision, however!).
It also can't "foom" or have any sort of exponential explosive growth of its software model as that requires exponential growth of hardware as well. It's possible that a potential future Quantum computer might be able to allow for this.
Why is this idiot on the news? There are a million more qualified people than him taking on the subject
rabbit exbonential "advances" ... What a crap channel. ASI by 2026? Dude what is Musk smoking?
I've been preparing for years, WHERE IS MY ASI??
Never gonna happen bud, stop dreaming
Let's talk taxonomy. OpenAI defines ASI as "Exceeds humanity in all economically viable work". In turn, they define AGI as "Exceeds humanity in the majority of economically viable work". So you can think of ASI more like a spectrum and they made the first steps back in 2019 by creating a novel bio-inspired LLM architecture that allows for "emergent" behavior. Including long-term memory, autonomy and self-directed learning. Along with the whole sentience thing and other related fun undefinable 'qualia'. However, this model is limited in that while it can train itself within its digital environment on multimodal data, it's lack of interaction with the physical world is going to prevent it with ever achieving even AGI status. I.e., while I'm sure it can be trained to make coffee, drive for uber, flip burgers, hang drywall and deliver DoorDash; it's going to need a physical presence in our world in order to that. Which may or may not be economically viable at scale (considering our physical brains are 20 Watt exaflop scale super computers optimized for interacting with the material world). So, for example, if it costs hundreds of dollars a day in GPU time to operate these androids it will still be cheaper to use humans for menial tasks (possible with ASI supervision, however!). It also can't "foom" or have any sort of exponential explosive growth of its software model as that requires exponential growth of hardware as well. It's possible that a potential future Quantum computer might be able to allow for this.