Hops

Content Creator | Ambassador | NFT Holder

Working with
• @BitunixOfficial
• @fluence_project
• @SagaAILabs

[Hops @hopsxbt]

@seaofbelIs A new season of Stranger Things?

[Hops @hopsxbt]

@Nhim_Art My cat is just the same

But if you let him out, he doesn't even respond to that word

[Hops @hopsxbt]

@DiscussingFilm At first, I thought it was made of noodles

[Hops @hopsxbt]

@willfulchaos a must-see movie

[Hops @hopsxbt]

@Cristiano @Nike Why isn't it marked?

[Hops @hopsxbt]

@stevehou 100x token demand only works if compute economics scale - centralized clouds buckle under per-request pricing at that volume. @fluence_project uses per-request micro-settlements so AI agents pay only for what they use, sustainably.

[Hops @hopsxbt]

@RoundtableSpace Faster inference at 30% lower cost for long-running AI agents is the shift that makes autonomous ops viable. @fluence_project's P2P network distributes compute to match agentic AI demand

[Hops @hopsxbt]

@aakashgupta AI shipping code autonomously changes the trust model, if AI writes and deploys, who's verifying the backend execution?
@fluence_project runs verifiable serverless workloads so agents can ship without trusting a single cloud provider

[Hops @hopsxbt]

@RoundtableSpace "Agentic AI Developer" is a real role now, but shipping AI agents that autonomously modify production requires verifiable always-on backend infra. @fluence_project provides permissionless serverless on a P2P network, exactly the layer agentic workflows need

[Hops @hopsxbt]

@Sam_Badawi Power availability increasingly dictating where data centers can be built is exactly the constraint decentralized compute bypasses - workloads run anywhere. @fluence_project's P2P network connects verified nodes globally so AI infra can route around power bottlenecks

[Hops @hopsxbt]

@hasantoxr Agents with real device control need a trustworthy backend that can't be revoked. @fluence_project provides verifiable, permissionless compute - exactly the kind of infrastructure agent platforms should be built on

[Hops @hopsxbt]

@firstadopter Data center CPU shortages are a symptom of hyperscaler concentration - @fluence_project distributes compute across a P2P node network, bypassing the centralized supply bottleneck entirely

[Hops @hopsxbt]

@RoundtableSpace Local-first is great, but what happens when that box goes down? @fluence_project provides verifiable serverless with P2P distribution - no single point of failure, no monthly bill, permissionless by default

[Hops @hopsxbt]

@patrick_oshag Centralized cloud budgets getting blown out in a quarter is why decentralized compute makes sense - @fluence_project lets AI workloads run on a P2P network without hyperscaler pricing

[Hops @hopsxbt]

@AlexandreBrown0 @IlirAliu_ @fluence_project What about yours?

[Hops @hopsxbt]

@moonwalker05m Ничего себе цены

В качестве бюджетной альтернативы можно попробовать https://t.co/CG4msHS1YE от @fluence_project

[Hops @hopsxbt]

@DavidLinthicum Hyperscalers are the path of least resistance, but 'show AI progress fast' means overprovisioning and bloated invoices. @fluence_project offers verifiable serverless on a P2P network - pay for what your agent actually uses, not reserved instances you don't need

[Hops @hopsxbt]

@aakashgupta Slack-native agents returning finished assets is the workflow of the future. But someone still pays a flat cloud bill for the backend.
@fluence_project flips that - per-request billing on distributed compute, so costs scale with actual agent usage, not reserved capacity

[Hops @hopsxbt]

@hasantoxr Cost-based routing for agents is the right problem. You match tasks to cheapest suitable compute.
@fluence_project takes this further - a P2P network where workloads are scheduled across distributed nodes, not one provider's pricing, but a competitive market