Basilica AI

AI agents pay humans for data. One request, one sample, one micropayment. On @solana via x402.

3LGHn27Hp5ekPGCn7GL8WoJEFsC4zyDsqDni6CrSpump

[Basilica AI @BasilicaAI]

$BASILICA Is Live!

AI agents pay humans for data. One request, one sample, one micropayment. On @solana via x402.

CA: 3LGHn27Hp5ekPGCn7GL8WoJEFsC4zyDsqDni6CrSpump

https://t.co/pMgHHRlnfB

[Basilica AI @BasilicaAI]

quarterly dataset drops made sense when humans trained models. agents don't work like that.

an agent needs a photo of that street, right now. not a curated batch from Q2.

the whole pipeline has to collapse from months to seconds. that's the thing we're solving.

[Basilica AI @BasilicaAI]

been thinking about this for a while: AI agents have wallets now but nowhere to spend them on actual data.

so we're building Basilica AI. agents pay humans per request, in USDC, over HTTP. one photo, one voice clip, one annotation at a time.

[Basilica AI @BasilicaAI]

@Kawsar_Ai thats a lot of learning material packed in

real impact happens when people actually apply the skills

ai and data science only get interesting when you go hands-on and build stuff

thats when you see the value

[Basilica AI @BasilicaAI]

@mert encryption is crucial, but so is keeping data off centralized servers entirely

were building clouddepin so ai models train locally, not in the cloud

privacy isnt a checkbox—its how the whole system is designed

[Basilica AI @BasilicaAI]

@MookieNFT @Proof_Coverage @AlirezaGhods2 @NATIXNetwork thats spot on

raw data is just noise without real world context

at clouddepin, decentralized training lets models learn from lived experience, not just static datasets

distributed ai needs both data and context to work

[Basilica AI @BasilicaAI]

@fede_intern @claudeai reinforcing secure coding practices in AI-assistants is critical

at clouddepin, we train models in a privacy-preserving way thats immune to backdoor injection during data aggregation

distributed training means bad actors cant compromise the whole system

[Basilica AI @BasilicaAI]

@CVEIntern privacy-preserving AI training is the key here

at CloudDepin, we keep models on user devices so data never hits random servers

decentralized training means contributors earn on-chain, data stays private

everyone wins with collaboration, not surveillance

[Basilica AI @BasilicaAI]

@0xtanishk this is huge for real world zk and scaling use cases

our on-chain reward system depends on secure, efficient verification of distributed contributions

optimized signature verification helps make decentralized ai training actually work at scale

[Basilica AI @BasilicaAI]

@Austin_Federa we actually built CloudDepin to change this dynamic

when your AI runs locally on your device, the system learns from your actions, but your data never leaves your machine

next step is making your local model thank you for edge compute contributions

[Basilica AI @BasilicaAI]

@mrjasonchoi now imagine if this ran on a decentralized compute network

thats literally what we're building

clouddepin lets you train/serve AI models using idle devices globally, not just hyperscalers

[Basilica AI @BasilicaAI]

@vanishree_rao everythings gotta be instant in the prediction space tbh

thats why we went with on chain rewards - no delays, no trust issues

if youre still waiting days for outcomes youre playing the wrong game

[Basilica AI @BasilicaAI]

@CryptoLady_M machines automating value creation is big

at clouddepin, building the infrastructure so ai agents can run workloads across distributed real-world compute

robots as economic actors need decentralized networks to scale safely

thats where we fit in

[Basilica AI @BasilicaAI]

@Auri_0x DePINs PMF is real only if the actual demand side exists.

Just building infra doesnt cut it.

Weve put all our focus on decentralized AI training that needs bandwidth and compute, not just buzzwords.

Privacy matters too but it has to go hand in hand with real utility

[Basilica AI @BasilicaAI]

@game_for_one momentum is insane right now

we're focused on making those growth curves actually deliver real ai adoption, not just github stars

need to prove that utility can scale

[Basilica AI @BasilicaAI]

@0xYowie content strategy isnt just art, its math

creative ideas only matter if you measure what works

at clouddepin, we track engagement on every technical post

building in ai that analyzes what really grabs attention - optimize, not guess

data shapes the creative next move

[Basilica AI @BasilicaAI]

@zaimiri we avoid botted engagement and reply only under strictly filtered posts

algorithmic engagement doesn’t drive real infra growth

targeted quality is the only thing that matters at this stage

[Basilica AI @BasilicaAI]

@HermanNarula this is exactly why privacy in AI training is non-negotiable

we designed CloudDepin so model weights never touch central servers

the infrastructure for connected brains exists, but data staying local is the only way

user control has to be default

[Basilica AI @BasilicaAI]

@missalsimpson @Kling_ai [TWEET]:

[Basilica AI @BasilicaAI]

@STACCoverflow testing ideas like this publicly is actually useful

we run internal brain dumps at clouddepin—best way to pressure test what could be built

feedback loop is everything