GAUSS - what the hell is it? tbh, I won't get deep into the technicals, because it's a lot - however, I scrapped the essential parts so everyone can understand the CORE idea 🗣️ TLDR = it's @RialoHQ 's smart, safe reconfiguration/upgrade mechanism, that helps devs/enginners evolve the blockchain (or any similar distributed system) without turning it OFF, like they would have to on traditional systems is it an acronym? not this time - I think it's named after Carl Friedrich Gauss (a famous mathematician) (if you remember this, it's probably enough imho) ────────────── PREMISE↙️ a blockchain needs TWO main jobs done by its computer nodes (validators) 1) agree on the order of transactions (the consensus) 2) execute those txs & update the log (balances, smart contracts, etc) but blockhains are also like an organism they have to add new stuff & remove what isn't working but in order to move forward with this they often have to change things like a) who the validators are (add or remove some) b) switch to a completely better consensus method (from PoW to PoS or vvers) c) refresh/upgrade the core rules typically, when you do this you often have to ↘️ ✖️ pause the whole chain ✖️ do risky migration steps ✖️ pause all txs & activity on dApps ────────────── GAUSS is different it goes around these limitations by using 2 separate LOGS <a DIRTY/internal log> it includes all the upgrade parts & coordination messages <a CLEAN log> only shows the real user transactions to the execution part so blockchain can keep functioning while upgrade is beeing prepared [ this is how an upgrade using GAUSS looks like ] →old team keeps working normally →new team prepares quietly in the background →they agree on one exact handover moment →new team takes over right after that moment →chain keeps working →almost no interruption to users ────────────── I like to think about it like upgrading your entire car's specs at a 10 sec pitstop during a F1 race, without even turning OFF the engine @itachee_x @soumeya @yann_hodique

won the why @liquidtrading over everything else ,, contest ( $30 and drip role secured ) would've been first place too if @ZhugeLyang didn't enter 😭. bro literally the only person who can stop me is someone I know in space for a long time 💀 anyway small win is still a win. appreciate everyone who read the post & Supported . got a lot more content coming still got things to prove lubu I'm coming for you 👀 . I’m tired was travelling straight 10h today ,Gud night. Gliquid. Big thanks @snwdnnn 💚

Ayooo frens GM , Gliquid 💚 yesterday we broke down @liquidtrading news feed how the swipe to trade feature works and how custom feeds let you filter exactly what you trade. today we're going even deeper most traders have no idea that the more you trade on Liquid the cheaper it gets. there's a full fee tier system built into the platform and almost nobody talks about it. here's the complete breakdown with real numbers. ↘️ { did my homework on this one every number in this post comes straight from Liquid's official documentation. if anything looks off drop it in the comments and I'll verify it. } 💸 First the basics : Liquid charges 0.05% or less on perp trades. But here's what most people don't know . your fees are based on your rolling 14 day trading volume. the more you trade across those 14 days the lower your fees get. and there are two types of fees to understand: ⟹ Taker fee you're taking liquidity from the market. you pay this. ⟹ Maker rebate you're adding liquidity to the market. you actually get paid back directly to your wallet on every trade. 🏆 The Tier System Base Perp Fees: Starting from zero volume here's exactly what you pay: ⟹ No tier — 0 volume — Taker 0.095% / Maker 0.065% ⟹ Tier 1 — $5M volume — Taker 0.090% / Maker 0.062% ⟹ Tier 2 — $25M volume — Taker 0.085% / Maker 0.058% ⟹ Tier 3 — $100M volume — Taker 0.080% / Maker 0.054% ⟹ Tier 4 — $500M volume — Taker 0.078% / Maker 0.050% ⟹ Tier 5 — $2B volume — Taker 0.076% / Maker 0.050% ⟹ Tier 6 — $7B volume — Taker 0.074% / Maker 0.050% Even at zero volume you're paying 0.095% taker. Compare that to Coinbase charging up to 4% on purchases. That's already a massive difference before you even unlock any tier. 💎 The Volume Discount Tiers Diamond to Wood On top of the base tiers Liquid also has volume discount tiers. Diamond being the lowest fees and Wood being the entry level. These tiers show different fee rates at the same volume level the fee differences are verified and real directly from their docs. Here's what the numbers look like at zero volume across tiers: ⟹ Diamond — Taker 0.0770% / Maker 0.0590% ⟹ Platinum — Taker 0.0815% / Maker 0.0605% ⟹ Gold — Taker 0.0860% / Maker 0.0620% ⟹ Silver — Taker 0.0883% / Maker 0.0628% ⟹ Bronze — Taker 0.0905% / Maker 0.0635% ⟹ Wood — Taker 0.0928% / Maker 0.0643% And Diamond tier at $7B volume drops all the way to: ⟹ Taker 0.0644% / Maker 0.0500% The higher your tier and the more you trade the cheaper every single trade gets. 🆓 Spot Trading — Zero Additional Fees For spot trading — actually buying the underlying asset like BTC, ETH or SOL: ⟹ Liquid charges zero additional fees on top of what Hyperliquid charges. ⟹ no markup. no hidden costs. exactly what Hyperliquid charges. At high spot volumes the maker fee eventually drops to zero completely. More clarity in next thread .

why @liquidtrading over everything else? honest answer ↘️ Gliquid Guys!! I've been in this space long enough to get burned by the usual stuff. platforms holding your funds, hidden fees eating into profits, limited assets, one bad day wiping everything because you were stuck on one venue with no way out I went through all of it, then I actually sat down and did the math on fees alone retail traders on Coinbase are bleeding 4% on every single trade $5K a month in volume that's $2,400 gone every year not from bad trades just from using the platform that number hit me harder than any loss I'd taken -------> then March 26 2025 happened Hyperliquid the best DEX in the game got hit by a coordinated attack on a token called JELLY $4.1M short position, price pumped 430% in hours their own vault absorbed $13.5M in unrealized losses. validators stepped in manually and force settled positions at a price they picked not the market price on a platform marketed as fully decentralized nobody hacked the code. but the idea that one venue could protect you from everything that got hacked. -------> that's the moment Liquid clicked for me not because of the marketing because the problem it solves is real and I had just watched it play out live. one interface routing across Hyperliquid, Ostium and Lighter at the same time your funds never leave your wallet. if one venue has a problem your trade still gets filled somewhere else that's not a feature that's just how trading infrastructure should work. Keep reading the next thread 👇🏻 @snwdnnn @Qurool13

GM Chads !! Happy Weekend ☕️ Today I’m going deeper into @PrismaXai not just what it is but who’s behind it, who supports it, and the real problem they’re trying to solve. This is easy to understand so anyone can follow it.even if you’re new to robotics or tech. { 𝐇𝐖𝐡𝐨 𝐈𝐬 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐏𝐫𝐢𝐬𝐦𝐚𝐗? PrismaX was started by 𝐁𝐚𝐲𝐥𝐞𝐲 𝐖𝐚𝐧𝐠 𝐚𝐧𝐝 𝐂𝐡𝐲𝐧𝐚 𝐐𝐮 two people with experience in both robotics and decentralized technology. They came together to build PrismaX with the idea that robots should be able to do useful work in the real world and that humans should play a role in teaching them how. The company is based in 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨 a city known for tech innovation and startups. { 𝐖𝐡𝐨 𝐁𝐚𝐜𝐤𝐬 𝐓𝐡𝐞𝐦? (𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬 & 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬) PrismaX has raised seed funding of $𝟏𝟏 𝐦𝐢𝐥𝐥𝐢𝐨𝐧, which is the early money investors give to help a startup grow. This round was led by 𝐚𝟏𝟔𝐳 𝐂𝐫𝐲𝐩𝐭𝐨 𝐂𝐒𝐗, which is part of the famous venture capital firm 𝐀𝐧𝐝𝐫𝐞𝐞𝐬𝐬𝐞𝐧 𝐇𝐨𝐫𝐨𝐰𝐢𝐭𝐳 a big name in tech investing. 𝐎𝐭𝐡𝐞𝐫 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬 𝐰𝐡𝐨 𝐩𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐞𝐝 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: ⟹ Stanford Blockchain Builder Fund ⟹ Symbolic Capital ⟹ Volt Capital ⟹ Virtuals Protocol …along with some other angel investors. { These backers show that smart people in tech believe in PrismaX’s vision and potential. { 𝐖𝐡𝐚𝐭 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐈𝐬 𝐏𝐫𝐢𝐬𝐦𝐚𝐗 𝐒𝐨𝐥𝐯𝐢𝐧𝐠? At its heart PrismaX is trying to solve a few big challenges in robotics: ⟹ Robots Can’t Learn Well From Simulations Alone : Most robots today are trained in simulated environments like video games. But the real world is messy, unpredictable, and full of unexpected situations. Robots trained only in simulations don’t perform well outside those controlled environments. PrismaX believes real-world robot learning needs real real-world data. ⟹ Real Human Data Is Hard and Expensive to Get : To teach robots how to act in real life you need a lot of human demonstrations of how tasks should be done. Collecting that data one-by-one is slow, expensive, and inconsistent. PrismaX’s idea is that every time a real person controls a robot that becomes valid and useful data which robots can learn from. This helps solve the data problem by creating a data ecosystem instead of relying on fake or artificial simulations. ⟹ Robots Need a Better Way to Scale Training : Even if you collect real data, there needs to be a system where: ⟹ That data is standardized ⟹ Robots know how to use it ⟹ More people can contribute easily PrismaX is building that infrastructure the tools platform, and incentives so that as more humans contribute, robots can learn faster and become more capable. Sharing the Visual in the next thread for better understanding !! Keep reading 📚.

Greetings aleons Gm !! As you know @AleoHQ previously announced its 𝐀𝐦𝐛𝐚𝐬𝐬𝐚𝐝𝐨𝐫 𝐚𝐧𝐝 𝐒𝐮𝐩𝐩𝐨𝐫𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚m after the latest updates I’m glad to share that I’ve been assigned as an Aleo supporter team . { Over the past days I’ve closely followed the community and observed a clearer role structure taking shape and core ambassadors are now officially ambassadors and ambassadors have transitioned into the supporter role. This brings more clarity and organization to the ecosystem. ⟹ As shared by the team in dc new roles will be assigned within the next couple of days , and onboarding is expected to be completed by the end of this week . ⟹ Even if you don't get selected this time you will be able to contribute the same way as ambassadors/supporters do. More details will be announced soon . As a supporter i'll continue focusing on useful content, onboarding, and consistent community contributions. ⟹ Looking forward to building and growing with the Aleo ecosystem. Stay tuned for more updates review is ongoing we can expect more people will join and get selected cheers .. @AleoHQ

𝐖𝐡𝐚𝐭 𝐦𝐚𝐝𝐞 𝐦𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐀𝐈 𝐢𝐧 𝟐𝟎𝟐𝟔 : 𝐆𝐫𝐢𝐭𝐮𝐚𝐥 guys lately i kept noticing something every week there’s a new AI model bigger numbers , better benchmarks faster demos. But when I looked closer i started asking myself a different question: If AI keeps getting smarter what actually changes in how we use it? So instead of looking at model releases I went back to interviews, talks, and articles from people building AI at scale and a pattern became clear. The future of AI isn’t just about smarter answers It’s about AI doing things on its own. ➤ 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐞𝐧 𝐈 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐚𝐭 𝐀𝐈 𝐦𝐢𝐠𝐡𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐥𝐨𝐨𝐤 𝐥𝐢𝐤𝐞 𝐢𝐧 𝟐𝟎𝟐𝟔. ➤ What AI is slowly becoming Today most AI still waits for us. You ask. It responds. End of story. But that’s changing. The direction most big AI teams are moving toward is simple AI that can observe, decide, and act without constant human input. That’s what people mean when they talk about agents. Not sci-fi robots just systems that: monitor data make decisions trigger actions keep running in the background And once you see it that way a few problems become obvious. ➤𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐚𝐡𝐞𝐚𝐝 : As AI starts acting on its own three things matter more than model quality: ☆ 𝐓𝐫𝐮𝐬𝐭 : If an AI makes a decision, you need to know why and how it did. ☆𝐏𝐫𝐢𝐯𝐚𝐜𝐲 : A lot of real-world decisions involve sensitive data. Sending everything to centralized servers doesn’t scale socially or legally. ☆ 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 : If AI controls money, systems or workflows it can’t depend on fragile scripts or single points of failure. These aren’t future problems they’re already showing up. ➤ 𝐖𝐡𝐞𝐫𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐬𝐭𝐫𝐮𝐠𝐠𝐥𝐞: 𝐌𝐨𝐬𝐭 𝐀𝐈 𝐭𝐨𝐝𝐚𝐲 𝐬𝐭𝐢𝐥𝐥 𝐫𝐮𝐧𝐬 𝐥𝐢𝐤𝐞 𝐭𝐡𝐢𝐬: → models live on centralized servers → logic lives somewhere else → automation is glued together with scripts → failures happen quietly This works for demos it doesn’t work for systems that need to run continuously and autonomously. And this isn’t a failure of AI models it’s a system design problem. ➤ 𝐖𝐡𝐞𝐫𝐞 𝐑𝐢𝐭𝐮𝐚𝐥 𝐟𝐢𝐭𝐬 : Ritual isn’t trying to replace big AI companies or compete on model quality. Those teams are building the brains. Ritual is focused on something different: > How do you safely plug AI into systems that need to run on their own? By treating AI as part of the execution logic not just an external service Ritual is trying to solve: ✔️how AI decisions can be triggered automatically ✔️how results can be verified ✔️how sensitive computation can be protected ✔️how systems can run without constant human babysitting This becomes important when AI is no longer just answering questions but making choices. ➤ 𝐀 𝐬𝐢𝐦𝐩𝐥𝐞 𝐰𝐚𝐲 𝐭𝐨 𝐥𝐨𝐨𝐤 𝐚𝐭 𝟐𝟎𝟐𝟔 : By 2026 AI won’t just sit in chat windows. 𝐈𝐭’𝐥𝐥 𝐛𝐞: ✔️inside apps ✔️inside workflows ✔️inside financial systems ✔️inside decision-making processes and when that happens the question 𝐰𝐨𝐧’𝐭 𝐛𝐞: Is the model smart? 𝐈𝐭’𝐥𝐥 𝐛𝐞: Can we trust the system around it? That’s the gap Ritual is trying to work on not by replacing AI but by giving it a more reliable place to operate. ➤ 𝐌𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 𝐨𝐧 𝐭𝐡𝐢𝐬 !! After thinking this through one thing feels clear to me: The next phase of AI isn’t about intelligence alone it’s about structure, trust, and execution. Models will keep improving that part is inevitable but the systems that surround them will decide whether AI actually works at scale. Ritual is one of the projects exploring that layer early. Not louder. Not flashier. Just focused on a problem most people haven’t noticed yet. ''although market seems cooked & there's little hope, we still have our shining beacon of light - Ritual 🕯 @ritualnet @ritualfnd @joshsimenhoff @BunsDev @mongdiny7 @Jez_Cryptoz @0xMadScientist

➤ 𝐃𝐚𝐲 𝟏 } 𝐖𝐡𝐲 𝐒𝐲𝐦𝐛𝐢𝐨𝐭𝐢𝐜 𝐄𝐱𝐢𝐬𝐭𝐬 𝐋𝐞𝐭'𝐬 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝! The problem isn’t building blockchains the problem is securing them. In Web3, launching a new network is no longer the hard part. The hard part is economic security. Every new chain or protocol must solve the same challenge: – Attract enough validators – Lock large amounts of capital – Convince users and developers it’s safe Doing this from scratch is slow, expensive, and inefficient. ➤ 𝐓𝐡𝐞 𝐂𝐨𝐫𝐞 𝐈𝐬𝐬𝐮𝐞: 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐈𝐬 𝐑𝐞𝐛𝐮𝐢𝐥𝐭 𝐄𝐯𝐞𝐫𝐲 𝐓𝐢𝐦𝐞! Today most networks are forced to build their own isolated security. 𝐓𝐡𝐚𝐭 𝐦𝐞𝐚𝐧𝐬} – New validator sets – New staking incentives – Fragmented capital across ecosystems Even worse capital that is already staked and securing major networks often can’t be reused despite being idle most of the time. This is not a scalability problem. It’s a security design problem. 𝐀 𝐒𝐢𝐦𝐩𝐥𝐞 𝐄𝐱𝐚𝐦𝐩𝐥𝐞} Imagine every new city having to build its own power plant ,Lay its own power grid, maintain it independently Instead of connecting to an existing, trusted grid. That’s how blockchain security works today. ➤ 𝐖𝐡𝐞𝐫𝐞 𝐒𝐲𝐦𝐛𝐢𝐨𝐭𝐢𝐜 𝐂𝐨𝐦𝐞𝐬 𝐈𝐧] Symbiotic exists to change this model. It is a permissionless shared security protocol that allows networks to: – Reuse existing staked capital – Access real economic security from day one – Define their own rules for rewards, slashing, and operators Instead of rebuilding trust, networks can borrow it in a cryptoeconomically secure way. So Shared security matters because networks can launch faster with strong security, stakers can do more with the same capital, and Web3 becomes less fragmented and easier to scale.

They told you blockchains were too slow for AI. They lied. They didn’t know how to warp time.