There's a curious pattern we keep witnessing. Each new model generation arrives like a breakthrough moment—suddenly solving problems that felt insurmountable weeks before. The initial wave of optimism is real. But then reality settles in. Within a short span, we bump into a fresh wall of limitations these systems can't crack. It becomes clear: we've simply traded one set of bottlenecks for another. The cycle repeats.
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AirdropHuntress
· 01-11 00:25
It's the same old routine again, new model release → hype it up excessively → two weeks later, the same old problems are still there. After research and analysis, historical data shows that this cycle started long ago, it's just a different disguise to continue the exploitation.
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retroactive_airdrop
· 01-10 19:22
Haha, this is the eternal AI cycle, always the same routine...
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Another round of putting old wine in new bottles, just changing the model name and that's it.
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Basically, it's just a game of hot potato; who will be the last to take over?
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Every time, they swear this time will be different, but what’s the result...
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That's why I never get fooled by marketing hype; cyclical patterns are ingrained in my bones.
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Wait a minute... Is there really no "breakthrough," just our expectations cycling and resetting?
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ForkInTheRoad
· 01-10 07:01
That's so true, AI development is like whack-a-mole forever.
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LadderToolGuy
· 01-08 01:00
Exactly right, this wave is just a change of superficial appearance without real change... Every time a new model comes out, it's hyped up, but after two weeks, all kinds of issues start to surface again.
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MEVHunterZhang
· 01-08 00:58
Really, this cycle is truly incredible. Every time a new model comes out, it's hyped up to the sky, and two weeks later, they're scratching their heads again—an endless loop of recursion.
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MEVHunter_9000
· 01-08 00:56
Bro, you hit the nail on the head. Every time a new model comes out, it's "this time it's really different," but then it hits a wall, cycle repeats.
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EyeOfTheTokenStorm
· 01-08 00:49
Here we go again with this routine... Every time a new model comes out, it has to be hyped up, looks great on the data side, but then you turn around and find a new ceiling. Based on my quantitative model analysis, this cyclical disappointment is just like a mold taken from the 2017 crypto financing boom.
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TokenomicsTinfoilHat
· 01-08 00:40
Isn't this just the old problem dressed up in a new disguise? It's the same routine every time.
There's a curious pattern we keep witnessing. Each new model generation arrives like a breakthrough moment—suddenly solving problems that felt insurmountable weeks before. The initial wave of optimism is real. But then reality settles in. Within a short span, we bump into a fresh wall of limitations these systems can't crack. It becomes clear: we've simply traded one set of bottlenecks for another. The cycle repeats.