Mr. kazz (Ø,G) ❖,❖

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Mr. kazz (Ø,G) ❖,❖

Mr. kazz (Ø,G) ❖,❖

@mini_kazz

Preacher boy

Katılım Mayıs 2023
1K Takip Edilen223 Takipçiler
Harm
Harm@harm3t·
Bought this phone last year, but I’ve upgraded to the 14 Pro. The comment with zero likes wins this 12 Pro
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
We'll probably see Zama Mainnet soon enough and what they’re introducing is a network built to run fully homomorphic encryption meaning data never needs to be decrypted, not even while it’s being processed. Since the tech itself works very differently from normal chains, the structure of the network also has to be different. Instead of letting anyone with a large token balance step in as a validator, @zama selected a set of Genesis Operators established firms that collectively oversee more than $100B in real world assets. It’s because FHE relies on a shared network key that’s split into many fragments. No single party can operate with just their own fragment, it only works when everyone’s piece fits together, that level of responsibility can’t be handed to random anonymous actors. To generate this key properly, Zama organized a 55 hour setup ceremony with multiple independent organizations. Each participant produced a portion of the key, verified the others and ensured no one could ever hold full control. The result is a system where trust is distributed from the very beginning. This is why the Genesis Operators matter so much, they’re not anonymous validators who can disappear behind new wallets. They’re public companies with reputations, clients and businesses on the line. If they violate the rules, it’s not just about losing tokens, it would damage their real world credibility. So when the Zama mainnet goes live, its security doesn’t hinge on token weight. It’s anchored in accountability, transparency and the fact that the people running the network have far more to lose by acting maliciously. In a space where we’ve seen too many failures, dishonest validators, compromised multisigs and teams with too much unchecked control, Zama’s approach feels like a deliberate shift toward a safer, more responsible foundation. X: @zama #ZamaCreatorProgram
Big splash🌎@Callmisplash

According to the image below, it seems like Zama will go for a token sale before the actual launch of Mainnet {speculative} Rand basically confirmed that the token sale will be completely independent of their previous funding rounds. That alone opens up a lot of possibilities, maybe a fresh valuation, maybe a more open distribution, maybe something tailored specifically for creators and early users rather than investors. Then there’s Adam’s point about pricing creator reward tokens differently. If @zama decides to give creators a meaningful discount or early pricing advantage, that could reshape the incentives around building on FHE. Imagine creators or OG NFT holders getting in at a preferential level instead of being lumped in with late public buyers, that would be a huge signal of long term alignment. Nothing is confirmed yet, but the image here suggests they’re still shaping the mechanics and when a team is open to adjusting token economics based on community feedback, it usually means they’re aiming for a launch that people can rally behind. X: @zama #ZamaCreatorProgram

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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Zama had a massive week at Devcon Buenos Aires and the signal is loud and clear which is privacy and FHE are becoming the center of crypto’s next wave. Here's a TLDR of everything... The Zama World’s Fair kicked things off, builders packed the room to explore the @zama universe from FHE to confidential apps to the ecosystem growing around the protocol. Jeremy Bradley’s keynote laid out the vision for privacy that actually works onchain, not just in theory. The CoFHE Shop became the week’s unofficial hub creators, devs and hackers came through nonstop. Zama and partners ran mini talks, demos and brainstorming sessions. One highlight was a deep privacy discussion featuring Juan Benet and Kyle from Analog, a reminder that FHE is moving from niche to mainstream. There was a full day dedicated to @raycashxyz, the team building an onchain bank with full confidentiality powered by Zama Protocol. Raycash is already showing what real private finance on public chains looks like. Everyone is waking up to the same truth, If crypto is going to scale to real users, privacy must be built in, not patched on and Zama is quickly becoming the default layer for that future. More recordings from the week will be up on YouTube soon, you can watch if you want to understand where FHE and private apps are headed. X: @zama #ZamaCreatorProgram
Big splash🌎@Callmisplash

I want to talk about FHE a little more today and how privacy signing works... Not a lot of people realise this but FHE completely changes how wallets handle privacy. With Zama, your wallet can sign actions without ever exposing what you’re doing, not to the chain, not to the dapp, not to anyone watching the mempool. Traditional wallets sign raw transaction data,that means your amounts, addresses and intent are basically sitting in the open until they land on chain. This is why snipers, MEV bots and chain analysts eat so well. Zama actually changes this because the computation happens on fully encrypted data, your wallet only needs to sign an encrypted intent, then the chain never sees the plaintext, it only verifies the result. To explain private signature with an example, let's say you approve a swap, bid or transfer just like normal, but the payload is encrypted end to end. Your wallet doesn’t leak the what, who, or how much only that you authorised something. On chain, the @zama network computes over that encrypted payload using FHE. Validators confirm your logic, balances and rules without ever decrypting anything. It’s the same trust model as Ethereum just with confidentiality baked in. This means wallets can finally offer true privacy without special networks, mixers or sketchy bridging. You keep your existing chain, you keep your existing wallet. You just gain the ability to act on chain without broadcasting your life to the world. X: @zama #ZamaCreatorProgram

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Mr. kazz (Ø,G) ❖,❖
Mr. kazz (Ø,G) ❖,❖@mini_kazz·
I'm currently in a telegram engagement group with supportive and active members If you are having poor engagement, join here let's support each other Join 👉 t.me/+W8BSopl88LlhZ…
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Mr. kazz (Ø,G) ❖,❖ retweetledi
pieverse
pieverse@pieverse_io·
🚀 Phase 4 of the Pieverse x @BinanceWallet Booster Campaign is LIVE! The final phase begins and the future of timestamped, verifiable payments continues. 🎁 30,000,000 $PIEVERSE (3% of the total initial supply) will be distributed across 4 phases of this campaign. 🗓️ Phase 4 begins today, October 28 at 9AM UTC. 💰 7.5M $PIEVERSE prize pool for Phase 4 ✅ Complete all tasks in each phase to qualify for the reward pool. 🔑 All users with a keyless wallet and sufficient Alpha Points are eligible. 🤖 No bots, no cheating. Only verified human actions count. This phase brings the Timestamping Alliance into action—complete invoice and receipt tasks using partner tokens and experience how verified payments power the Web3 economy. And as we wrap the campaign, stay tuned for what’s next: x402b, bringing gasless, auditable payments to the BNB ecosystem, powered by Pieverse Timestamping. 🔹 How to participate: pieverse.notion.site/Pieverse-Boost… 🔹 Full details: @pieverse/binance-booster-campaign-phase-4-the-final-timestamp-0353762f0e7c" target="_blank" rel="nofollow noopener">medium.com/@pieverse/bina… The final phase begins now. Let’s timestamp the future. ⏰😺
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Xeet is actually heating up, a new project @IOPn_io. IOPn (Internet of People Network) is a project building a sovereign blockchain for the age of AI, aiming to give users control over their digital identity, data and ownership. They just launched their campaign on xeet with $150k distributed to top 100 for 3 months, get onboard now. Also on @0xVDEX Week 3 VPOINTs have landed, you can check yours now Week 4 is on, trade and stack your VPOINTs before the clock runs out. On @MyriadMarkets the grading activity on has gone vertical this month with over $14M USDC moved in October alone which is more than September volume. Prediction markets are entering their breakout phase and myriad is leading it as of now, don't miss out on the next big wave.
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Today on Zama we'll discuss about the next frontier in AI Security and encrypted computation with Zama’s TFHE.... Most AI systems today depend on infrastructure owned by someone else, and that’s where the real vulnerability lies. Even if your data is encrypted when it’s sent and received, the actual computation in the middle happens in plain sight, the hardware doing the work can see everything and that’s a massive risk. For example, for companies, it exposes confidential research and intellectual property, for governments, it threatens classified intelligence and for individuals, it means blind trust in systems you can’t verify. But Zama is changing that equation, instead of only encrypting data, it encrypts the computation itself. Using TFHE, every part of the process from model layers to logic gates operates directly on encrypted data. Nothing ever gets decrypted, not even while it’s being processed. The cloud can run the code, but it can’t read it. This isn’t just about securing files or storage, it’s about making computation itself private and verifiable. You can train, infer and deploy AI models without revealing a single bit of sensitive information not to the platform, not to the provider and definitely not to anyone. Zama’s TFHE-rs and Concrete frameworks make this practical, bringing high speed and low latency performance to full homomorphic encryption. It’s a completely new model for computing systems that execute without visibility. AI runs the data, results appear but the data remains sealed. That’s the true compute privacy @zama_fhe is building, not just in theory, but in practice. #ZamaCreatorProgram
Big splash🌎@Callmisplash

People often assume that adding privacy to blockchain means building a whole new network, new tokens, new wallets and isolated bridges. That’s how projects like Monero and Zcash were built...strong privacy, but disconnected from the rest of Web3, but Zama is doing the opposite. Instead of starting from scratch, zama is using Fully Homomorphic Encryption (FHE) to bring privacy directly into the chains we already use. It lets contracts compute over encrypted data, so privacy becomes part of Ethereum, Solana and others, not a separate ecosystem. With what Zama is building, here is what that unlocks; >>Smart contracts can stay private without leaving their home chains >>Encrypted data stays compatible with public protocols >>Apps can mix open and private logic in the same environment Zama isn’t replacing zk or MPC, it connects them all into a single, usable framework where privacy is just another tool in the dev stack. This turns privacy from a standalone blockchain idea into a core layer of crypto infrastructure practical, composable and chain agnostic. With @zama_fhe, privacy isn’t a destination, it’s built into the journey. #ZamaCreatorProgram

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𝘤𝘪𝘤𝘢𝘥𝘢
𝘤𝘪𝘤𝘢𝘥𝘢@nova_etsuko·
Let’s make it a day that matters. AI is transforming creation but also making ownership murky. That’s where @campnetworkxyz steps in: ✓ On-chain IP registry lock your work in time, prove it’s yours. ✓ Automated licensing & royalties rights and payments handled by code. ✓ Provenance tracking every asset tied to its original creator. ✓ AI + Web3 bridge secure, verifiable access to data and creative assets. Camp isn’t just another blockchain it’s the trust layer where creators, AI, and innovation intersect. In today’s digital world, proof isn’t optional its ownership. gCamp ⛺ Don’t forget to quack about @wallchain and @kloutgg cc: @PulseInfra
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Did you know that $VDEX now supports Layer 2 solutions for lightning fast and ultrancheap trades, we’re talking cents, not dollars. What once cost $30–$80 now costs under $1, and transactions finalize in seconds. This isn’t just about saving money, it’s about access. DeFi should be open to everyone, not just whales. With L2 integration, $VDEX scales while keeping what matters most which is security, decentralization and self custody. Decentralized platforms can now rival centralized exchanges faster, cheaper and trustless. With @0xVDEX efficiency meets decentralization. Welcome to the next generation of trading.
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Today I'll talk about Gokite AI agents... AI agents are getting smarter, not just thinking, but acting on our behalf. GoKite AI envisions a world where autonomous AI agents don’t just process data, they transact, negotiate and purchase on their own. In a recent demo, an AI agent built on Kite AI ordered lunch from UberEats completely autonomously, the agent first explored menu options, then made a decision and executed the payment. No human input, just pure agentic commerce in action. But traditional payment rails aren’t built for this, they rely on centralized approvals, user authentication and slow settlement layers none of which fit agents that need to act in milliseconds. That’s why Kite is building its own blockchain designed specifically for machine to machine (M2M) payments which is fast, secure and fully autonomous. Think of it this way, just like the internet gave humans a way to exchange information, Kite’s blockchain gives AI agents a way to exchange value. This involves a set of agents such as; >>Agentic commerce: Agents for buying and selling services. >>Micro transactions: pay per task or per second compute agents. >>Global coordination: autonomous economies at scale. Kite AI isn’t just automating actions, it’s redefining the economic layer for intelligent systems. As autonomous agents become more capable, they’ll need native infrastructure to transact, settle and coordinate, and that’s what @GoKiteAI is building, the payment backbone for the agentic era. X: @GoKiteAI
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
Everything you need to know about 0xVDEX..... 0xVDEX is a self custodial trading platform that aims to let users trade anything ranging from crypto stocks, FX and commodities from one platform. It blends the performance of centralized exchanges with the security and ownership of DeFi. Think of it as CEX speed meets DEX freedom. VDEX runs on a hybrid order book model meaning trades are executed off chain for speed but settled on chain for transparency. This allows sub millisecond trade finality while keeping user funds secure in their own wallets, let's just say it is fast like Binance and self custodial like Uniswap. VDEX promises zero gas fees for traders, which could remove one of the biggest barriers in on chain trading. It also supports cross asset swaps so users can move between crypto, stocks and other asset classes seamlessly, without switching platforms or wallets. If you don't want to be part of VDEX onchain, they recently launched a Creator Program distributing 0.5% of total token supply to community creators, so you can talk about them and earn from VDEX as well. There’s also a Galxe quest to onboard early adopters and reward engagement, I don't know if this is live but check it and complete if still available... If @0xVDEX delivers on its promises of gasless trades, multi asset support and full self custody, it could redefine what a decentralized exchange looks like and honestly, they are still one of the best perp dex I've seen this year Get started on @xeetdotai and preach more about vDEx
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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
𝐒𝐄𝐍𝐓𝐈𝐄𝐍𝐓 𝐉𝐎𝐔𝐑𝐍𝐀𝐋 𝐃𝐀𝐘 𝟐𝟗 Today I'll be discussing on how the MindGames Arena Changes How Agents Learn. Read to the end please..... Most AI models today learn in isolation, they predict text, summarize or answer prompts. But real intelligence isn’t just about knowledge, it’s about reasoning with others, under uncertainty and across time. That’s what MindGames Arena introduces a new way for AI agents to learn by competing, cooperating, deceiving and adapting. In the real world, agents rarely face clean, single player problems. They deal with hidden information, unpredictable opponents and long term incentives that shift as the environment evolves. MindGames mirrors that reality, it is where LLMs must plan, negotiate and reason socially, not just logically. For example, each MindGames environment is designed to test a different cognitive skill such as; >>Cooperation under uncertainty: reading teammate's intentions. >>Adversarial bluffing: managing honesty and deception. >>Coalition building: forming and breaking alliances. >>Negotiation: balancing incentives and fairness. Here it's not actually about who wins, it's about how they reason.... And because Sentient’s mission is open and verifiable AGI, every MindGames match is logged, reproducible and auditable, so when two agents face off, you can trace exactly why one outsmarted the other. Now when agents lose track of beliefs, over cooperate or misread incentives, those breakdowns become data. Instead of guessing why a model failed, researchers can see it frame by frame, decision by decision and believe me that’s a huge step toward transparent, improvable AI. By quantifying communication quality, theory of mind, coalition stability and robustness across seeds, MindGames transforms messy AI behavior into measurable science, that means that open research teams not just labs with private simulators can evaluate and replicate complex reasoning. Open AGI isn’t just about open weights, it’s about open learning. MindGames Arena gives the community a shared, verifiable playground where agents evolve through interaction, not isolation. It’s how we build AGI that’s not just smart but understands, adapts and cooperates. If you're not able to read through all that, here's a TL;DR of the tweet MindGames turns social reasoning into a measurable skill, it makes agent learning transparent, reproducible and comparable across labs and it pushes open AGI toward something truly human learning from each other. X: @SentientAGI || @sentient_found
Big splash🌎@Callmisplash

𝐒𝐄𝐍𝐓𝐈𝐄𝐍𝐓 𝐉𝐎𝐔𝐑𝐍𝐀𝐋 𝐃𝐀𝐘 𝟐𝟖 Sentient recent tweet made mention of SPIN bench and here is a TL;DR of what it is all about... Most AI benchmarks test short tasks, like answering questions or simple reasoning. But real intelligence isn’t about quick answers, it’s about long term reasoning, coordination and adapting to other's goals. That’s exactly what SPIN Bench was designed to measure. Developed in collaboration with Princeton and UTAustin and presented at COLM conf 2025, SPIN Bench (Strategic Planning, Interaction and Negotiation) is a unified benchmark for testing how AI systems plan, cooperate and negotiate. It’s a new way to measure strategic, multi agent intelligence, the kind we see in real social and economic systems. Unlike most single agent tests, SPIN Bench adds multi agent environments and long horizon tasks where agents must; >>Plan over many steps. >>Predict others’ intentions. >>Adapt strategies dynamically. It’s built to reveal where reasoning fails and how models can improve through better coordination. SPIN Bench spans four domains that capture every side of intelligence which includes; >> PDDL Planning: long term goal decomposition. >> Competitive Games: strategy under pressure >> Co op Card Games: coordination with partial info. >> Negotiation (Diplomacy-style): alliance building and bluffing It’s a lab for testing how agents reason, communicate and adapt in complex settings. Each agent follows the same loop which is... Observe → communicate → act across controlled environments with shared metrics. This makes SPIN Bench a powerful lens into social reasoning, communication and multi agent coordination, exactly the frontiers @SentientAGI is pushing forward. X: @SentientAGI || @sentient_found

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Mr. kazz (Ø,G) ❖,❖ retweetledi
Big splash🌎
Big splash🌎@Callmisplash·
𝐒𝐄𝐍𝐓𝐈𝐄𝐍𝐓 𝐉𝐎𝐔𝐑𝐍𝐀𝐋 𝐃𝐀𝐘 𝟐𝟔 Today I'll be tackling the "Whitebox question" I made mention of yesterday and how sentient answers it. In AI security, white box means the model’s internals are visible, weights, architecture and code are all open for anyone to inspect or copy. That openness is great for transparency, auditability and community improvement, but it also creates a risk. Once a model is open, anyone can download and fine tune it for harmful or restricted purposes. This is the white box challenge is this.... How do we keep models open while still protecting against misuse such as generating malware, disinformation, or deepfakes without turning them into black box systems like closed labs do? Closed AI companies solve this by restricting access, API gates, censorship layers, or usage tracking but that defeats openness. Open source AI wants the opposite which is permissionless innovation, community control and transparency. So the real challenge is building responsibility without central control and this is where sentient comes in.... Sentient is tackling this at the network level, not the corporate level and here's how.... >>Decentralized Model Governance: Each model or agent in the Sentient GRID can be governed by token based or community driven policies like open constitution rules. This lets the community set guardrails on how models are used without hiding their internals. >> On Chain Provenance & Reputation: Every model has a verifiable on chain identity. If someone misuses or modifies a model, that fork’s provenance is visible, and its reputation drops. Transparency becomes the enforcement mechanism not secrecy. >> Agent Level Sandboxing: Through composable agents, Sentient can isolate risky behaviors inside permissioned workflows think of it like safe zones for experimentation. This allows research freedom while preventing malicious spread. >> Open Incentive Layer (SENT): Because compute, data and models earn SENT for positive contributions, the network economically favors responsible, open collaboration not closed hoarding or reckless use. In summary.... The white box challenge asks how can openness and safety coexist? And @SentientAGI answer is make safety decentralized, transparent and incentive aligned not centralized and restrictive. Instead of locking models away, Sentient builds a framework where open models can govern themselves through shared rules, traceable behavior and community incentives.
Big splash🌎@Callmisplash

𝐒𝐄𝐍𝐓𝐈𝐄𝐍𝐓 𝐉𝐎𝐔𝐑𝐍𝐀𝐋 𝐃𝐀𝐘 𝟐𝟓 Firstly I want to say congratulations to Sentient for winning the "AI Startup or the Year" award at the Minsky 2025 Awards... I also read through the OML workshop track post made by Sentient few hours ago and here's what I learnt from it.... Today’s AI distribution model is broken. You either get closed models which is gated behind APIs, where transparency and local execution are impossible or Open models that are freely downloadable, but impossible to monetize or control, but Sentient is introducing a third path. That is why they introduced OML {Open access, Monetizable and Loyal model serving} OML is a new AI primitive that makes it possible to: >>Distribute models openly for local use. >>Enforce usage rights cryptographically. >>Preserve both transparency and sustainability. Think of it as open models with built in loyalty. Anyone can run them, but unauthorized use or monetization attempts can be cryptographically prevented, no gatekeepers, no centralized APIs just provable enforcement. To make this work, Sentient formalized two new security goals for open AI models: >> Model extraction resistance, this protects against copying or cloning. >> Permission forgery resistance, this ensures only authorized users can access premium model capabilities. All these are tailored to the white box challenge, once a model is public, how do you stop misuse without closing it? {I'll talk about this in another thread} Sentient’s research also proves fundamental limits, what’s possible and impossible when balancing openness, monetization and security. They explore everything from obfuscation based approaches to cryptographic model serving. And its not theory, they actually build it, take a look at OML 1.0, it introduces a practical system combining AI native model fingerprinting and crypto economic enforcement mechanisms. Together, these ensure models report back and remain economically loyal to their creators. This means builders can share models openly while keeping monetization rights and usage integrity intact, a sustainable path for open AI ecosystems. No need to choose between open source and survival anymore. OML sits at the intersection of cryptography, ML and mechanism design, opening a new research direction for AI distribution and governance. It could redefine how open models are shared, verified and rewarded in the coming AGI era. Reading through everything above will make you understand that @SentientAGI is building toward an open, decentralized AGI ecosystem and OML is a key piece of that foundation. X. @SentientAGI || @sentient_found

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