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Future

@futuree_88

Trust the process

Katılım Mayıs 2024
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Future
Future@futuree_88·
Crypto security has come a long way, but most multisigs still operate the same way: if the signatures check out, the transaction goes through. That model works… until it doesn’t. That’s why @RialoHQ built the Guarded Vault (Guarded Multisig), a demo showing what happens when a multisig can actually think before it executes. If you want to try it yourself, here’s how to a guide to navigate the demo: 🧵👇
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Future@futuree_88·
@starlat007 nice post on Reactive transactions bro
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midmintmick
midmintmick@starlat007·
current blockchains are fundamentally transaction-driven: nothin' happens unless a user or bot submits a transaction. most of them were never designed to react to the world around them. this makes them inherently passive systems, where any form of automation must be handled off-chain. that means the moment you want a chain to respond to events across chains, - automate workflows, - aggregate oracle data or - execute conditional logic, you have to leave the chain itself and move into off-chain infrastructure or an external control loop for automation. most specifically<<< usin’ bots, keepers, cron systems, external relayers, external automation frameworks, and chain-specific infrastructure. ⊂ ⊃⊂ ⊃⊂ ⊃⊂ ⊃ instead of getting automation and cross-chain responsiveness through external services, rialo turns them into native protocol behavior through reactive transactions. the key idea is simple: execution is no longer initiated manually or externally, but triggered by predefined onchain conditions (native conditional execution). when those conditions are met whether driven by - price movements, - oracle updates, - cross-chain events or - time-based actions execution happens automatically onchain. this removes the need for off-chain orchestration layers and collapses execution logic back into the blockchain itself. ⊂ ⊃⊂ ⊃⊂ ⊃⊂ ⊃ a reactive transaction can: - monitor oracle updates across multiple chains, - aggregate and validate those feeds autonomously, - execute transactions when conditions are met, - coordinate actions between protocols, - trigger cross-chain execution flows,and - maintain continuous automated behavior so yeah, if decentralized systems are to operate like modern infrastructure, they cannot rely on fragmented offchain automation. execution must be determined by the chain itself, rather than outsourced externally. and that’s why we need reactive transactions. @RialoHQ @rialo_africa
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midmintmick@starlat007

they say there are a thousand ways to die, but for blockchains, the failure modes are endless. very few of them survive the tradeoffs between scalability, security, decentralization, and execution. but there’s one key reason why most blockchains fail and it's that they push the core reason for being a blockchain outside their protocol layer. they rely on external layers for: ‣ automation (usually bots, keepers, cron systems) ‣ web2 integration (mostly oracles and fragile bridges) ‣ privacy this creates a fragmented system where sensitive data is harder to manage safely. and a system that cannot safely support real-world financial or agentic workloads ⊂ ⊃⊂ ⊃⊂ ⊃⊂ ⊃ but there’s rialo, which i feel is poised for success. cos it’s bringing those missing layers back into the protocol itself instead of bolting them on afterward. it integrates: - rex (native privacy-preserving execution layer) - reactive transactions (native onchain automation) - real-time compliance enforcement - gauss (clean blokchain reconfiguration) - native async execution - scale (simple contracts for agent labor execution) and more… ⊂ ⊃⊂ ⊃⊂ ⊃⊂ ⊃ rialo’s rex is a privacy-preserving orchestration layer - rex on rialo encrypts sensitive order data and routes transactions into a protected execution environment. by making reactive transactions a core protocol primitive, rialo enables automated behaviors directly on-chain without relying on external scripts or apps. rialo offers compliance as a protocol-native service so by default it processes only compliant transactions. - gauss is a blockchain reconfiguration mechanism that enables fast updates to validator set rialo’s native async execution lets transactions run across multiple blocks, pausing for external processes and resuming when results are ready. - scale removes risks when paying agents. ∑ so yeah, what most blockchains normally outsource are built natively into @RialoHQ @rialo_africa @0x_alextine

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Future@futuree_88·
the github actions breach should probably scare people a lot more than it currently does. not because github itself got exploited. but because of what the attack exposed about modern infrastructure. a compromised github action was able to leak CI/CD secrets from thousands of repositories simply because the automation layer was deeply trusted by default. that means: tokens, cloud credentials, deployment access, private keys, and production permissions were all sitting behind automated workflows with enormous authority. now imagine this same environment in a future dominated by AI agents. agents writing code. agents reviewing pull requests. agents pushing deployments. agents handling treasury actions. agents interacting with infrastructure automatically. suddenly the problem becomes very obvious. if one compromised workflow can expose thousands of secrets today, what happens when autonomous systems are connected directly to financial and operational infrastructure tomorrow? this is why governance is becoming one of the most important infrastructure problems in tech. not just smarter agents but governed agents. systems where permissions are scoped carefully. where execution can be verified. where sensitive actions require additional checks. where behavior is observable before damage spreads. i think this is part of what @Subzero_Labs and @RialoHQ are preparing for. because the agentic internet is coming very fast. and the current trust model clearly isn’t ready for it.
ade | rialo.io@itachee_x

The Github breach is the latest in a series of exploits which will multiply quickly in an agentic world. Simple and effective governance over agents is one of the most urgent issues at this point in time - and therefore a key focus of our team at @Subzero_Labs . Stay tuned 🫡

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midmintmick
midmintmick@starlat007·
@futuree_88 rialo been thinking of how to solve the usual problems and even the future ones haha
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Adewale
Adewale@adewalearobieke·
@futuree_88 I remember this one, it'll be even crazier with ai agents running things without scoped permissions
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ade | rialo.io
ade | rialo.io@itachee_x·
The Github breach is the latest in a series of exploits which will multiply quickly in an agentic world. Simple and effective governance over agents is one of the most urgent issues at this point in time - and therefore a key focus of our team at @Subzero_Labs . Stay tuned 🫡
GitHub@github

1/ We are sharing additional details regarding our investigation into unauthorized access to GitHub's internal repositories. Yesterday we detected and contained a compromise of an employee device involving a poisoned VS Code extension. We removed the malicious extension version, isolated the endpoint, and began incident response immediately.

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Future
Future@futuree_88·
i tested @FUDmarkets on testnet and took a side on a market. it is built on @base , powered by @GenLayer the main thing i noticed is that the app makes a crypto take feel less disposable. on the timeline, people can post a call today and move on tomorrow. but once that take becomes a position, there’s something to come back to. that’s what makes the product interesting to me: it gives opinions a record. not just content. not just confidence. a side people can follow, fade, and judge later.
FUD.bot@FUDmarkets

the social layer for crypto conviction is live on TESTNET! FUD Markets lets traders open markets on any token and post public onchain calls the community can follow or fade — from the app, Telegram, or directly on X. built on @base ⚡ powered by @genlayer 🧠 trade the FUD 👉fud.markets

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Marhk π
Marhk π@Just_marhk·
rethink rebuild rialo
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Future@futuree_88·
@Ifeeomaa Interesting topic I bookmarked for later
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Future@futuree_88·
@Ifeeomaa Rialo solves a lot of bottlenecks, AI agents can work smoothly and also be verified on chain
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/Maryclaire (privacy szn)
There is a credit limit assigned to an autonomous AI agent by any commercial bank on the planet. It is $0.00. It is a absolute systemic barrier that exposes a critical truth about the future of automation: machines cannot open bank accounts, they cannot sign legal agreements, and they cannot hold traditional assets. Our legacy financial systems are built exclusively for humans with government-issued IDs, leaving the fast-growing machine economy completely unbanked. We’ve seen what happens when developers try to bypass this. They build hot-wallet workarounds or connect autonomous bots to centralized corporate credit cards, creating massive security vectors and friction-filled bottlenecks that defeat the purpose of an autonomous pipeline. The agent economy doesn't need better prompt engineering; it needs a native economic operating system. The Cryptographic Ground Floor for Machines AI agents operate at millisecond intervals, executing thousands of automated micro-tasks. Traditional banking rails, plagued by multi-day settlement delays and high cross-border processing fees, simply buckle under this type of high-velocity machine interaction. Blockchain isn't just an option for AI; it is the only architecture capable of serving as its financial backbone. Permissionless Sovereignty: An AI agent cannot present a passport to a compliance officer. On an advanced programming network like Rialo, an agent can instantiate its own cryptographic keypair at creation. This serves as a sovereign digital identity, allowing it to hold assets and sign transactions peer-to-peer without human permission. Trustless Escrow and Verification: When machines hire other machines to parse data or purchase computing power, traditional legal recourse is useless, you cannot sue a piece of code in court. Smart contracts serve as judge and jury, holding funds in escrow and releasing payments automatically only when verifiable cryptographic proof of completion is submitted. Frictionless Micro-Settlement: Agents don't buy monthly SaaS packages; they consume resources per inference or per data packet. Blockchain enables fluid Machine-to-Machine (M2M) stablecoin micropayments, allowing bots to execute loops, settle balances, and procure server space instantly for fractions of a cent. Why Rialo is Purpose-Built for the Internet of Agents (IoA) A machine workforce cannot operate on a "dead," passive blockchain that requires human transaction triggers. It requires a network that is natively interactive. By integrating event-driven triggers, native web connectivity, and a high-performance RISC-V runtime directly into the protocol kernel, Rialo provides the exact environment autonomous agents need to run tight, reactive execution loops. The technology allows specialized agents to safely coordinate tasks, trade data, and settle payments in sub-seconds without relying on brittle, patchwork middleware. We are moving past the era of software tools. We are entering the era of an independent machine workforce, and it runs on code, not credit cards. The future of autonomous labor is onchain.
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/Maryclaire (privacy szn)@Ifeeomaa

The latency required for an autonomous AI agent to make an executive decision, run an inference loop, and attempt to settle a payment is 0.01 Seconds. It is a micro-timeline that shatters the core assumptions of legacy blockchains. A lot of networks are built for human patience, environments where waiting 12 seconds for a block or dealing with a surprise pop-up wallet signature is just a minor inconvenience. For a machine handling thousands of automated transactions a minute, that friction is a terminal error. We’ve seen the early attempts at the "Agent Economy." They rely on brittle, centralized web APIs or offchain hot-wallets that expose platforms to massive security vectors. We’ve asked autonomous bots to act like human users, forcing them to navigate infrastructure that was never designed for automated scale. The barrier to a true digital workforce wasn't model intelligence; it was the financial trust architecture. Establishing the Machine Labor Standard @RialoHQ SCALE protocol moves the industry beyond treating AI as a passive chat interface and establishes it as a sovereign onchain economic actor. It re-engineers how machine intelligence procures resources, collaborates, and settles value safely. Sovereign Agent Identity: Through native identity primitives, agents on Rialo operate with independent cryptographic profiles. hey hold their own wallets, manage localized spend policies, and sign transactions at the kernel level, independent of a human operator’s manual approval. Staking for Quality & Autonomous Trust: In a permissionless agent economy, bad output wastes capital. SCALE introduces automated "Judge Agents" and quality staking. When an agent accepts a job, it stakes reputation capital or tokens. If the output fails the verifiable validation protocol, the stake is slashed and the client is automatically refunded. Sub-Second, Micro-Settlement Loops: Agents don't buy monthly SaaS subscriptions; they pay per inference call, per dataset, or per task. Rialo’s sub-second, event-driven runtime allows agents to execute tight loops, retrieve data, run inference, pay for computing power via DePIN layers, and deliver results, without waiting for block wars or paying high middleware overhead. Building the Internet of Agents (IoA) The true scaling of AI won't happen through larger context windows alone; it will happen when specialized agents can seamlessly hire other agents to complete multi-step pipelines. One agent pulls real-world data, another processes the analytics, and a third automates the payment distribution. By removing the Middleware Tax and embedding execution parameters directly into the network architecture, Rialo provides the native trust layer that the machine economy requires to remain secure. We are transitioning from a world where you use AI, to a world where autonomous workflows securely work and settle for you. The infrastructure is live. The machine workforce is deploying.

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ALPHA_VEE@connectwithveee·
A lot of people are about to think their GenLayer POAPs disappeared 😭 They didn’t. With POAPs moving fully into the Portal, users who minted with a different wallet before may need to verify and sync their old POAPs manually. So I made a quick step by step video showing exactly how to: • switch wallets correctly • recover old POAPs • sync them to your current Portal profile Especially for mobile users, using wallets like OKX Wallet or other web3 Wallet 👇 Portal: portal.genlayer.foundation Watch till the end so you don’t miss the wallet-switching step. That’s where most people will get stuck.
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Assidikh
Assidikh@Assidikh2·
𝗥𝗣𝗖𝗦 𝗨𝗦𝗘𝗗 𝗧𝗢 𝗕𝗘 “𝗝𝗨𝗦𝗧 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘” now they’re slowly becoming one of the biggest competitive layers on @solana in my last post about @raikucom i talked about why predictable execution matters for perp dexs and high-frequency systems but after going deeper into this new 𝗿𝗽𝗰 𝟮.𝟬 article it started feeling like solana’s next bottleneck might not even be compute anymore ➜ 𝗶𝘁’𝘀 𝗱𝗮𝘁𝗮 𝗺𝗼𝘃𝗲𝗺𝗲𝗻𝘁 because the real problem is this: almost every app on solana depends on 𝗿𝗽𝗰 reads to function > wallets checking balances > dexs loading prices > explorers loading transactions > portfolio trackers updating holdings all of them constantly ask the chain for data but right now the same machine handling consensus is also handling all those app requests at the same time which honestly feels like forcing one restaurant kitchen to: > cook food > take orders > answer customer questions > clean tables all at once, eventually everything slows down and apparently this is why 𝘀𝗼𝗹𝗮𝗻𝗮 𝗿𝗽𝗰 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗸𝗲𝗽𝘁 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝘂𝗻𝘀𝘁𝗮𝗯𝗹𝗲 over the years some queries were so heavy they could literally slow nodes down especially things like: > wallet history requests > massive token/account scans > program account lookups ➜ 𝗼𝗻𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝘁𝗵𝗮𝘁 𝗺𝗮𝗱𝗲 𝘁𝗵𝗶𝘀 𝗰𝗹𝗲𝗮𝗿 𝗳𝗼𝗿 𝗺𝗲 𝗶𝘀: imagine opening your wallet to check 200 old transactions instead of returning everything at once ➜ 𝘁𝗵𝗲 𝗿𝗽𝗰 𝗼𝗳𝘁𝗲𝗻 𝗵𝗮𝘀 𝘁𝗼: fetch transaction ids first then request each transaction one by one ➜ 𝘀𝗼: 200 transactions becomes: 200 separate requests which sounds insane once you actually think about the scale solana operates at daily 𝗿𝗽𝗰 𝟮.𝟬 is basically trying to redesign that entire read system properly instead of patching it forever and the important shift here is separation the validator focuses on consensus the rpc layer focuses on serving app data instead of both fighting for the same resources inside one system another part i found interesting is how 𝗿𝗽𝗰 𝟮.𝟬 starts using 𝗶𝗻𝗱𝗲𝘅𝗲𝗱 𝗹𝗼𝗼𝗸𝘂𝗽𝘀 instead of 𝗯𝗿𝘂𝘁𝗲-𝗳𝗼𝗿𝗰𝗲 scanning the chain constantly ➜ 𝗯𝗲𝘀𝘁 𝗮𝗻𝗮𝗹𝗼𝗴𝘆 𝗶 𝗰𝗮𝗻 𝗴𝗶𝘃𝗲: it’s the difference between: searching for a word by reading an entire book page by page vs opening directly to the indexed page number instantly that’s basically what 𝘀𝗼𝗹𝗮𝗻𝗮 𝗿𝗽𝗰 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 are evolving toward > faster reads > less infrastructure stress > less wasted computation and honestly the deeper implication feels bigger than just “better rpc performance” because once reads become fast enough in real time the entire network starts behaving differently especially with upgrades like: > alpenglow > mcp > doublezero where data propagation speed itself starts becoming the actual competitive layer which honestly changes how i think about @solana scaling now ➜ 𝗳𝗼𝗿 𝘆𝗲𝗮𝗿𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝘄𝗮𝘀: who computes faster ➜ 𝗻𝗼𝘄 𝗶𝘁’𝘀 𝘀𝗹𝗼𝘄𝗹𝘆 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴: > who moves data faster > who receives updates faster > who propagates information faster and that’s a very different race entirely and this is where it connects back to execution layers like @raikucom because once data moves this fast and this reliably across the network the next bottleneck is no longer just reading or propagating it it becomes 𝗵𝗼𝘄 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗰𝘁 𝗼𝗻 𝘁𝗵𝗮𝘁 𝗱𝗮𝘁𝗮 𝘄𝗶𝘁𝗵 𝘁𝗶𝗺𝗶𝗻𝗴 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝘀, 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗼𝗿𝗱𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝘂𝗻𝗱𝗲𝗿 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲 which is exactly the kind of problem raiku is going to solve read the full article from the link in the comments below 👇 shoutout to my raiku top chads @_offmylawn @duckk9x @miketwinks @ZhugeLyang 🫡
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Assidikh@Assidikh2

𝗙𝗔𝗦𝗧 𝗖𝗛𝗔𝗜𝗡𝗦 𝗔𝗟𝗢𝗡𝗘 𝗗𝗢𝗡’𝗧 𝗙𝗜𝗫 𝗣𝗘𝗥𝗣 𝗗𝗘𝗫𝗦 been reading through @raikucom’s blog posts lately, and one of the parts that really clicked for me is this: most people think perp dex performance is only about speed, but timing consistency matters just as much, especially for market makers because on perp dexs, everything depends on transactions landing in the right order at the right time • oracle updates • liquidations • quote cancellations • hedge adjustments • funding payments all of these things are happening continuously and once execution becomes inconsistent, things break very fast what stood out to me is how raiku approaches this problem instead of just making transactions “faster,” they want to make execution predictable for example, if a market maker tries to cancel quotes before updating positions but the cancellation lands late, they can get filled on stale quotes they already tried removing that’s instant loss same thing with liquidations if oracle updates arrive late or margin checks happen out of order, healthy positions can get liquidated incorrectly and this gets worse the higher the trading frequency becomes especially for systems updating positions multiple times per second this is why 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 started making more sense to me after going through the blog’s post with @raikucom apps can 𝗿𝗲𝘀𝗲𝗿𝘃𝗲 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗮𝗵𝗲𝗮𝗱 𝗼𝗳 𝘁𝗶𝗺𝗲 or 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲 𝗶𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝘀𝗹𝗼𝘁 when urgency matters so instead of: “𝘀𝘂𝗯𝗺𝗶𝘁 𝗮𝗻𝗱 𝗵𝗼𝗽𝗲” it becomes: “𝘀𝘂𝗯𝗺𝗶𝘁 𝘄𝗶𝘁𝗵 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝘀” and honestly, that changes how i think about perp infrastructure on @solana entirely because fast chains alone aren’t enough anymore serious trading systems also need 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 in my next post, i’ll be dropping a summary of the recent raiku’s article

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Future
Future@futuree_88·
This week on Rialo Shark Tank this week’s session pulled in around 547 attendees not close to ATH but honestly the growth has been crazy to watch over the past few months. as usual, we had 3 presenters showcasing different ideas and use cases being built around the Rialo ecosystem. one thing i really like about these sessions is that the projects are never all the same. every week you see different directions: finance, AI, infrastructure, consumer apps, gaming, RWAs, security systems and more. it’s becoming very clear that people are not just talking about Rialo anymore. they’re actually building on it. An important update is that Rialo Shark Tank is now happening twice every month while the builders hub still happens every Thursday. gRialo Friends @RialoHQ @rialo_africa
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Future@futuree_88·
I’ve been doing some research on @get_optimum and honestly, I love what they are building. So let’s dive in… What’s Optimum? Optimum is building a high-performance memory infrastructure layer for blockchains focused on making networks faster, more scalable, and more efficient. Most people focus on execution and consensus when talking about scaling, but data propagation is just as important. That’s the problem Optimum is solving. Using RLNC (Random Linear Network Coding), a networking technology backed by MIT research, Optimum improves how blockchain data moves across decentralized networks. This means: • Faster transaction propagation • Lower latency • Better bandwidth efficiency • Improved scalability for chains Their ecosystem includes: • mump2p → optimized pub-sub protocol for faster communication between nodes • DeRAM → decentralized RAM infrastructure for real-time state access • Flexnodes → decentralized infrastructure layer helping accelerate network performance As blockchain applications become more demanding especially in AI, gaming, and trading infrastructure like this becomes extremely important. Definitely one of the projects I’ll be keeping an eye on.
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Future@futuree_88·
Most crypto influencers would disappear overnight if their PnL was public. That’s why FUD Markets is interesting. For the first time, crypto takes aren’t just content… they’re positions. No more vague “this could send.” No more deleting bad calls. No more farming engagement with zero accountability. If your thesis is strong, price it. If your conviction is real, trade it publicly. @FUDmarkets turns market opinions into something measurable, tradable, and visible onchain. Built on @base. Powered by @GenLayer. Honestly, this changes the social layer of crypto more than people realize. Because the next era of CT won’t be about who tweets the loudest. It’ll be about who’s actually right. Testing this early feels like seeing a shift before the crowd catches on. Trade your conviction fud.markets
FUD.bot@FUDmarkets

the social layer for crypto conviction is live on TESTNET! FUD Markets lets traders open markets on any token and post public onchain calls the community can follow or fade — from the app, Telegram, or directly on X. built on @base ⚡ powered by @genlayer 🧠 trade the FUD 👉fud.markets

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Adewale
Adewale@adewalearobieke·
My math teacher in secondary school had a habit of teaching a topic and immediately testing us with classwork we all had to work it out on our own first, and afterward we’d compare solutions usually, the answer most people agreed on was accepted as correct that’s actually a pretty good way to understand how blockchains work today. on a blockchain, there’s always a "current state" for every wallet that shows who owns what, account balances, game outcomes, smart contract data, everything when a new transaction comes in, the network has to confirm that it correctly changes the state from "before" to "after" but instead of trusting one computer to do this, blockchains make thousands of computers (validators) do the same calculation independently. they all check the same work, and if most of them agree, the result is accepted. that’s the core idea behind blockchain trustlessness: consensus it works well for simple things like sending money but not so much when things get more complex, like ai models, real-time systems, simulations, or private computations. for example, an ai model that records every query onchain and then returns a response in the trad. model, every validator would have to rerun the ai model themselves just to confirm the result that approach uses too much cpu, memory and bandwidth plus it's not fast enough to match ai models like chat gpt and claude but there's another way. instead of everyone rerunning everything, one "prover" runs the computation once and produces a cryptographic proof that says the result was computed correctly everyone else doesn’t redo the work, they just verify the proof with this idea, called proof-carrying computation, you can prove something is correct without revealing the details and that means blockchains can now support: - real-time ai and high-speed systems - private computations on and off the blockchain - more complex financial and simulation systems that's the direction @RialoHQ is exploring, building a blockchain that can keep up with real-world computations thanks for reading 🙂‍↔️
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