Quantum Computing is still climbing the slope from TT to the Peak of Inflated Expectations. There is still little to no major hype, as its still in “R&D/testing” it is slow, it is expensive (Very) limited due to all the surrounding tech required to make it work like cooling, containment etc…
Compare this to AI.
AI is at and heading down from the Peak towards the Trough of Disillusionment. It was easy (relatively) to implement, easy to evolve as how nVidia did, simply throw more silicon at it. The Hype was easy to generate because even while totally misinformed, media and other people out there thought they could easily sell it. Even though most of what they claimed was turd, it sounded amazing and a game changer even in the early stages, and businesses lapped it up. Now they are feeling the pain, and seeing that there are still major hurdles to get past.
The kind of LLM that caused this hype with GPT3 is in R&D since the 60’s.
I belive we’re in the 70’s of Quantum Coputing. When It’ll be measured, it’d be just as easy and relatively cheep to produce and advance as AI today
AI is way different. It’s more like a series of hills where Sysiphus is pushing the boulder up to the peak, only to see another higher peak as the boulder rolls down the slope of disillusionment.
The thing is that quite a few things initially called AI have climbed that hype curve, rolled down into disillusionment, and quite a few have climbed back to a plateau of increased productivity. Each time we realize that’s either not AI or only a step toward AI. We’ve gotten a lot of useful functionality but the actual progress seems to be mainly clarifying what intelligence is or is not
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Quantum Computing is still climbing the slope from TT to the Peak of Inflated Expectations. There is still little to no major hype, as its still in “R&D/testing” it is slow, it is expensive (Very) limited due to all the surrounding tech required to make it work like cooling, containment etc…
Compare this to AI.
AI is at and heading down from the Peak towards the Trough of Disillusionment. It was easy (relatively) to implement, easy to evolve as how nVidia did, simply throw more silicon at it. The Hype was easy to generate because even while totally misinformed, media and other people out there thought they could easily sell it. Even though most of what they claimed was turd, it sounded amazing and a game changer even in the early stages, and businesses lapped it up. Now they are feeling the pain, and seeing that there are still major hurdles to get past.
The kind of LLM that caused this hype with GPT3 is in R&D since the 60’s. I belive we’re in the 70’s of Quantum Coputing. When It’ll be measured, it’d be just as easy and relatively cheep to produce and advance as AI today
AI is way different. It’s more like a series of hills where Sysiphus is pushing the boulder up to the peak, only to see another higher peak as the boulder rolls down the slope of disillusionment.
The thing is that quite a few things initially called AI have climbed that hype curve, rolled down into disillusionment, and quite a few have climbed back to a plateau of increased productivity. Each time we realize that’s either not AI or only a step toward AI. We’ve gotten a lot of useful functionality but the actual progress seems to be mainly clarifying what intelligence is or is not