dark. 💙

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dark. 💙

dark. 💙

@athdark

Building • Exploring AI x Finance · Shilling

ATH Katılım Mart 2023
211 Takip Edilen404 Takipçiler
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dark. 💙
dark. 💙@athdark·
𝐇𝐨𝐰 𝐩𝐚𝐲𝐫𝐨𝐥𝐥 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐬𝐭𝐚𝐲 𝐩𝐫𝐢𝐯𝐚𝐭𝐞 𝐨𝐧 𝐬𝐞𝐢𝐬𝐦𝐢𝐜 Payroll is one of the most sensitive processes in any company. Everyone wants the benefits of handling it onchain transparency, automation, auditability. But nobody wants salaries, bonuses, or employee data exposed on a public ledger. This is exactly where Seismic shines. How It Works On @SeismicSys, the most sensitive parts of a payroll system (salaries, adjustments, bonuses, employee records, etc.) run inside encrypted execution environments. => The chain only sees the final output. Things like total spend, payment confirmations, or high level approvals. => ⁠ All the private calculations and data stay hidden in the private zone. => No exposed salaries. No leaked internal changes. No data that can be scraped or analyzed later. It feels exactly like a traditional backend payroll system. Except it’s fully onchain, verifiable, and auditable by design. What Companies Get: => Truly private salary data and employee records => Clean, verifiable onchain confirmations =>⁠ Protected audit trails without exposing sensitive numbers =>⁠ Seamless automation with zero data leakage What Employees Get: => Strong privacy protection =>⁠ Accurate, tamper-proof payouts => Confidence that nothing can be quietly altered Why This Matters: Payroll is a perfect real world use case for base layer privacy. Seismic makes it simple, safe, and structured giving companies the efficiency and trust of blockchain without compromising confidentiality. This is what privacy first infrastructure should look like.
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kirah 🦋
kirah 🦋@kirahszn·
I’ve been brainstorming project ideas for hackathons. I guess that’s where most of the real work is. Your project has to genuinely add value to the platform. Tough sh**, ngl😮‍💨
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Davido
Davido@davido·
BACK A GUNNER !!!
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dark. 💙 retweetledi
Proof Pay
Proof Pay@Proof__Pay·
Crypto payments shouldn’t rely on trust, they should come with proof. Proof Pay gives 0G Labs verifiable on-chain payment confirmation that’s immutable and tamper resistant. • No edited screenshots, • No waiting around for confirmations, 🧵 …
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Proof Pay
Proof Pay@Proof__Pay·
Proof Pay is officially live on @OG_labs Mainnet. proofpay-sdk.vercel.app A protocol lets you pay for an AI inference once, get a cryptographic proof it ran correctly, and never pay for the same result twice It is clearly a TypeScript SDK that makes AI execution transparent.
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Proof Pay
Proof Pay@Proof__Pay·
Every AI model call today is still effectively off-chain trust: • You submit a prompt. • You assume execution happened correctly. • You trust billing. • You re-run work that may already exist. • You have no cryptographic guarantee of provenance. 🧵
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kirah 🦋
kirah 🦋@kirahszn·
Me to Claude because I didn’t get what I was looking for after prompting. 😂
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AetherCredit
AetherCredit@AetherCredit·
AI agents today are doing real economic work They can call APIs and execute tasks autonomously But there’s still one major infrastructure gap: Agents have no native reputation layer, verifiable credit layer nor trust framework that lets them access resources before payment🧵
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kirah 🦋
kirah 🦋@kirahszn·
AI is becoming a massive, abundant tool for everyday humans to create at scale. That’s exactly why early developers & innovators are raising huge funds right now. They are positioning themselves before the real wave of mass creation hits. Study… 👩🏻‍💻
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fatty
fatty@fathy_sol·
𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐖𝐡𝐚𝐭 𝐏𝐫𝐨𝐯𝐞𝐫𝐬 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 𝐢𝐧 𝐙𝐊 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 As ZK technology continues growing, provers are becoming an important part of how these systems work behind the scenes. Most people usually focus on the final result of ZK systems: ⇒ scalability ⇒ lower fees ⇒ privacy ⇒ faster transactions But before a proof can be verified, it first needs to be generated. That is the role of a prover. 𝐒𝐨 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐚 𝐩𝐫𝐨𝐯𝐞𝐫 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐨? A prover is responsible for generating proofs from computations or transactions. In simple terms, the prover does the work needed to create a proof that shows a computation was carried out correctly. Instead of every participant repeating the entire computation themselves, the proof can later be checked by the network. This helps improve efficiency within ZK systems. 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐩𝐫𝐨𝐨𝐟 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐫𝐞𝐪𝐮𝐢𝐫𝐞 𝐬𝐨 𝐦𝐮𝐜𝐡 𝐰𝐨𝐫𝐤? Generating proofs requires large amounts of computation. The amount of work involved can depend on: ⇒ the proving system being used ⇒ the size of the workload ⇒ the complexity of the computation ⇒ the hardware generating the proof As more proofs need to be generated, the amount of computation also increases. This is why proof generation can place heavy demand on computing resources. 𝐖𝐡𝐲 𝐚𝐫𝐞 𝐩𝐫𝐨𝐯𝐞𝐫𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭? As more: ⇒ rollups ⇒ applications ⇒ AI systems ⇒ and ZK networks begin using proof generation, the demand for provers also continues growing. More proving activity means: ⇒ larger workloads ⇒ increased hardware demand ⇒ more proofs being generated at the same time This is part of why proving infrastructure plays an important role in @fermah_xyz 𝐓𝐡𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐨𝐟 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐩𝐫𝐨𝐨𝐟 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 As proving activity increases, infrastructure also needs to handle larger workloads efficiently. Infrastructure not only needs to generate proofs efficiently, but also needs to support growing proving demand over time. Without efficient proving infrastructure, scaling proof generation becomes more difficult as adoption increases. 𝐓𝐡𝐞 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐫𝐨𝐥𝐞 𝐨𝐟 𝐩𝐫𝐨𝐯𝐞𝐫𝐬 As ZK adoption continues expanding, proof generation demand will likely continue increasing alongside it. That means scalable proving infrastructure may depend not only on generating proofs quickly, but also on: ⇒ handling larger workloads efficiently ⇒ managing hardware resources properly ⇒ supporting growing proving demand over time As the ecosystem continues evolving, provers may become one of the most important parts of scalable ZK infrastructure.
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𝕊𝕐𝕃𝕍𝔼𝕊𝕋𝔼ℝ
Day 2 building in @SeismicSys Right now anyone can open a blockchain explorer and see exactly how much money you make, spend and owe. Your salary. Your rent. Your loans. All public. Seismic is the blockchain that encrypts all of it.
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𝕊𝕐𝕃𝕍𝔼𝕊𝕋𝔼ℝ@ChinazaOkike

Day 1 Building with @SeismicSys Public blockchains gave us transparency. Seismic is building what comes next encrypted execution. Private wallets. Confidential smart contracts. Invisible infrastructure. The future of crypto won’t just be on chain. It’ll be encrypted.

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Four.meme-華語
Four.meme-華語@fourdotmemezh·
Big congratulations to the winning teams from the @pieverse_io track of the Four.Meme AI Sprint 🏆 It was exciting to see builders explore real onchain AI use cases across trading, DeFi research, autonomous execution, merchant workflows, and agent infrastructure through Purr-Fect Claw. Huge respect to every team that shipped during the sprint — especially projects continuing to build beyond the hackathon itself ⚡ Let’s keep building 💚
pieverse@pieverse_io

🎉 The Four.Meme AI Sprint Hackathon has officially wrapped! Together with @fourdotmemezh, we ran a global sprint for builders creating the next generation of on-chain AI agents with Purr-Fect Claw. ✍️ 30+ teams participated, shipping Web3 skills across Pieverse. Huge thank you to every developer and team who joined. Check out the winners for the Pieverse track below. 👇

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Nexus
Nexus@a3g_nexus·
Berlin isn’t just a city it’s where underground energy, creativity, and bold ideas have always collided. On June 13th, that same spirit meets the fastest blockchain in the game. The Solana Summit Germany is landing in Berlin, and it’s shaping up to be the biggest, most exciting Solana event this country has ever seen. If you’re even slightly into crypto, building, creating, or just curious you’re gonna want to be here.
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