.@primus_labs zkTLS와 FHE를 통해 민감한 데이터를 노출하지 않고 검증과 연산을 가능하게 하는 기관용 온체인 금융 프라이버시 인프라입니다.
🤝 Paid partnership
Primus Labs @primus_labs는 zkTLS와 FHE를 통해 민감한 데이터를 노출하지 않고 검증하고 연산할 수 있는 프라이버시 인프라를 제공합니다.
Web2 데이터와 Web3를 안전하게 연결합니다.
Happy Sunday/New Week
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Replying to @inference_labs
@inference_labs operates on a principle that reshapes how AI should function: governed by math, not blind faith. They reject the idea that AI decisions should be taken at face value or trusted simply because the system is sophisticated.
Instead, they focus on creating AI that can prove every action it takes through verifiable, cryptographic logs. This strips away the uncertainty of traditional black box models and replaces it with mathematically backed accountability.
Their approach ensures that autonomy becomes transparent, predictable, and fully auditable. By grounding decision making in mathematical truth, Inference Labs is setting a new standard for how AI should operate in environments where accuracy, reliability, and trustworthiness are non negotiable.
GM legend
Today gonna look into a new project
@inference_labs is building something the AI world desperately needs, Accountable Autonomy.
Not just “smart” AI
Not just “powerful” AI
But AI that can prove every action it takes...
Their entire mission is simple:
AI shouldn’t be trusted because it sounds confident, it should be trusted because its behavior is backed by math.
Inference Labs is creating systems where every AI decision leaves a verifiable, tamper-proof trail.
No blind faith.
No black boxes.
Just autonomy you can audit, verify, and rely on.
This is how AI scales in the real world, with accountability baked in from day one.
Hi, I'm back with the Top 25 amazing voices by Mindshare for @Infinit_Labs on cookie
1. @0xpratik : Active contributor to INFINT discussions on X; top voice by mindshare.
2. @vishnu_patankar : Crypto enthusiast and DeFi analyst; involved in agentic economy projects.
3. @KingBund : Crypto trader and content creator focused on Solana and DeFi tokens.
4. @Rightsideonly : Market analyst sharing insights on crypto trends and token performance.
5. @xxk_hl : Community member discussing AI and DeFi integrations.
6. @web3_honey : Web3 advocate promoting decentralized finance and AI agents.
7. @ApeXCrypto22 : Ape themed crypto fan; shares news on NFTs and tokens.
8. @Fijacyber_ : Crypto investor focused on emerging projects.
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10. @Only1temmy : DeFi builder and community manager.
11. @belizardd : DeFi wizard sharing strategies and token reviews.
12. @jake_063020 Music and crypto crossover creator; Jakespoare alias for content.
13. @YashasEdu : Educational content creator on crypto, and builder on @PrismHub_io
14. @DeFi_Blub : DeFi enthusiast with focus on liquidity and yields, also a ghostwriter
15. @CryptoGideon_ : Crypto analyst providing market updates and token alerts.
16. @DL_W59 :vested in educational contents and crypto insigh
17. @Wisemenmentors : Art and crypto fusion; alpha caller for projects and trading experts
18. @diegoxyz : DeFi AI specialist; builds and discusses agentic tools, bro is literally obsessed with it
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20. @DUKETHAGREAT : Growth Strategist • Marketing @JupiterExchange • Lead @JupNigeria & @jupinafrica • Global Traveler
21. @Lumen0x : Blockchain innovator focused on light-themed projects.
22. @0xEtherealX : Senior Meme Architect at base
23. @GoldnSamson : educational & shit poster
24. @paralog1 : Humorous take on crypto losses and recoveries.
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InfinityG isn’t just an AI workspace, $AIN is what powers the entire ecosystem
With @infinityg_ai, multiple AI agents build your app like a full dev team.
But the real backbone is $AIN, the token that fuels coordination, execution, and on-chain verification.
As the agents write, test, and deploy your code, every action is secured and logged through $AIN.
It keeps the system trustless, transparent, and scalable.
For builders, this means instant development without worrying about infra.
For the ecosystem, it means every project created on InfinityG strengthens the network.
AI native development + a token that actually supports the workflow, that’s what makes @infinityg_ai different.
InfinityGround isn’t replacing devs, it’s upgrading how teams build
Traditional teams split work:
one writes logic, another handles UI, another tests, another deploys.
That takes time, sync, and back and forth.
With @infinityg_ai, AI agents handle that coordination automatically.
One agent structures the codebase,
another builds components,
another reviews for issues,
another packages and deploys all running in parallel.
You don’t lose control.
You guide the system, edit anything, or refine ideas as it builds.
For teams, it means faster cycles and fewer bottlenecks.
For solo builders, it feels like having a full engineering squad on call.
This is what “AI native development” actually looks like
How InfinityG ( $AIN ) handles complex custom logic requests
When you throw a complex idea at @infinityg_ai, it doesn’t guess or freestyle.
A network of AI agents breaks your request down the same way a senior dev team would.
One agent analyzes the logic you want.
Another maps out the structure.
Another writes the actual code step-by-step.
And another tests every part to make sure it behaves exactly the way you described.
They work together inside the Agentic IDE— a shared workspace where multiple specialized AIs coordinate like teammates, not isolated tools.
You’re not locked out of the process.
You can inspect the flow, adjust conditions, add constraints, or refine the logic while the agents update everything in real time.
Every change goes through verification, then gets deployed on-chain once it’s correct.
This is how InfinityGround turns even complex logic into clean, reliable code, without the back-and-forth you’d normally expect.
@infinityg_ai is moving software from “explain it to a dev” to “explain it, and it becomes real.”











