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@PuffyPoodle6 watched wallets empty out three cycles straight, nobody ever learns

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@zeemuazz12 @RebateLaunch automatic usdg rewards save so much claim gas friction

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@Rizvi_On_X @bagel_win limit orders save you from bad entries

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@leslieMen old guard missedout

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@Amenouboy @rarelistio point farming killed genuine engagement long ago

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@Er_madamce @RaidLords leaderboards are going to be ruthless

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@Kutubjk24 @fomopoly_rh monopoly mechanics hit different when land actually does something

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@Zhao_x_BNB kitchen died years ago

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@TheVictorBuilds clearinghouse mechanics and 8 percent candles will teach old brokers humility faster than any compliance memo

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@Arpon_360 @TheDAOLabs appreciate it man

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Rate cards and real deals rarely match, and compute is no exception. That is why the Ornn Compute Price Index in the latest @TheDAOLabs article caught my eye.

OCPI is built from confirmed secondary and bilateral deals rather than public rate cards, so it reflects what buyers paid. For a market heading toward derivatives on ICE, that kind of data is the foundation, and great material for #DAOVERSE research posts.

[DAO Labs @TheDAOLabs]

If a barrel of oil is 42 gallons, what is a unit of AI power?

In Part 3 of our Compute as an Asset series, we dive into how the market prices a GPU-hour, why Wall Street giants are building benchmarks with Silicon Data and ICE, and why electricity is half the real cost.

👇👀🖋👇

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@samurai_smart @TheDAOLabs long overdue indeed

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@mannan25195 GE mannan

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@SAPrincessShoes @fomopoly_rh @rarelistio tier two setup keeps the grind alive honestly

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@Er_madamce @quipnetwork routing is the actual bottleneck

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@Abba_bakaji_ @TheDAOLabs night and day difference tbh

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@Durjoy___das @TheDAOLabs appreciate it

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@_tanviir @TheDAOLabs yeah definitely, worth checking out

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Every AI project with a token now gets the same question within an hour of launching: where does the compute come from?

The second part of the compute series from @TheDAOLabs explains why. The supply chain has four tiers: chipmakers like NVIDIA and AMD, owners such as hyperscalers, GPU clouds and former Bitcoin miners, marketplaces like Akash, Aethir, Hyperbolic and https://t.co/Z07cOWqfCb, and finally the renters. A sharp reader now asks whether a project owns silicon, runs a marketplace or aggregates hardware.

Teams that answer clearly win trust. Teams that answer with vague narrative lose it. Writers who understand the stack help put that answer into plain words before doubters frame it for them.

The series even notes that #SocialMining work explaining how protocols handle hardware bottlenecks stands out. AI teams in #DAOVERSE get a crowd already studying the exact question their users will ask.

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@khodeSL @primus_labs @allscaleio FHE payroll actually makes sense

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@0xjubayerr launch mechanics matter most here

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@WendySol_ @fomopoly_rh @rarelistio is it top 100 paid