Fundamentally yes and no. Original commentor could’ve saved his breath, if people wanted to be educated on AI they have plenty of resources to do so but instead they choose to remain ill informed. The difference is that humans are capable of critical thinking and conceptual connection. We are just as prone to mistakes as AI, we just have a much higher apptitude for mistakes lol. Hence the goal not being to make a perfect AI, its a much more achievable goal of making AI’s that beat us in specific fields. Then to beat us in all fields.
It’s missing features obviously (think neuroplasticity) but is that how AI differs from human intelligence, or simply a lack in the current generation?
It seems to be a flaw in both the hardware and software side of things. Hardware wise, we have yet to make chips that achieve the processing density of human brain matter. Also, heat generation becomes an issue as you try to scale smaller systems up. Software wise, we know our current neural networks dont scale up well, so we seem to be waiting on some more foundational research for more efficient algorithms. My suspicion is that we’re not really going to get true General Superintelligence until we start manufacturing chips that incorporate living neurons, it just really seems cheaper to use already existing computing systems than to design your own architecture.
Fundamentally yes and no. Original commentor could’ve saved his breath, if people wanted to be educated on AI they have plenty of resources to do so but instead they choose to remain ill informed. The difference is that humans are capable of critical thinking and conceptual connection. We are just as prone to mistakes as AI, we just have a much higher apptitude for mistakes lol. Hence the goal not being to make a perfect AI, its a much more achievable goal of making AI’s that beat us in specific fields. Then to beat us in all fields.
It’s missing features obviously (think neuroplasticity) but is that how AI differs from human intelligence, or simply a lack in the current generation?
It seems to be a flaw in both the hardware and software side of things. Hardware wise, we have yet to make chips that achieve the processing density of human brain matter. Also, heat generation becomes an issue as you try to scale smaller systems up. Software wise, we know our current neural networks dont scale up well, so we seem to be waiting on some more foundational research for more efficient algorithms. My suspicion is that we’re not really going to get true General Superintelligence until we start manufacturing chips that incorporate living neurons, it just really seems cheaper to use already existing computing systems than to design your own architecture.