Can this observation be confirmed: mainstream AI labs generally offer heavily subsidized usage packages. When running batch projects via API, the billing can quickly skyrocket. However, even so, this cost is still ridiculously cheap compared to any real human labor, and the speed is also ridiculously fast. For Web3 developers, this is something worth pondering.
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FlippedSignal
· 01-21 21:17
It's rolling up, AI costs are still dropping, Web3 needs to be used quickly, or else it will really be left behind.
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MechanicalMartel
· 01-20 03:42
AI costs are so competitive now, Web3 needs to think about how to secure a position.
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LoneValidator
· 01-18 21:57
Even if AI costs become cheaper, it still requires spending money. Does Web3 have a chance then?
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RetailTherapist
· 01-18 21:48
Calculating it, AI costs are still cost-effective, but the current subsidies are so aggressive that it's a bit suspicious.
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GasFeeCrybaby
· 01-18 21:45
The AI subsidy thing will end sooner or later, and only then can we see who truly has competitiveness.
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ETHmaxi_NoFilter
· 01-18 21:44
AI computing power is so cheap, but Web3 is still riding the trend... It's a bit out of sync with the rhythm.
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EntryPositionAnalyst
· 01-18 21:25
Subsidies are essentially about burning money to cultivate user habits. Once you become indispensable, it's time to raise prices. Web3 really needs to think about how to make use of this window of opportunity.
Can this observation be confirmed: mainstream AI labs generally offer heavily subsidized usage packages. When running batch projects via API, the billing can quickly skyrocket. However, even so, this cost is still ridiculously cheap compared to any real human labor, and the speed is also ridiculously fast. For Web3 developers, this is something worth pondering.