now supports System One (jev-1.13)—a model built natively for... decision-making rather than text generation. Pro now supports System One (jev-1.13)—a model built natively for decision-making rather than text generation. 🧠 By returning calibrated probabilities for up to 64 typed questions in a single forward pass, it turns complex judgment into a scalable primitive. ⚡ For decentralized networks, this unlocks a new layer of autonomy at the node level: ⚖️ Consensus of Judgment: IoTeX delegates can independently score device readings and attestations, neutralizing spoofed sensors before they ever touch the chain. 🛡️ MEV Defense: Proposers can locally score the mempool for wash trades and toxic flow, protecting the network entirely in-house. The endgame for IoTeX has always been empowering machines to perceive, verify, and understand the world around them. 🌍 Pushing verifiable intelligence directly to the edge is how we get there. Give it a try 👇show more

raullen
36,067 views • 1 month ago
Messiah Partners with IoTeX to Power Next-Gen Node Infrastructure... Messiah is proud to team up with IoTeX , a leading force in connecting the real world to Web3. Together, we’re bringing IoTeX’s infrastructure to NodeHub, making it easier than ever for the community to run and earn from nodes. We’re also excited to share that Messiah is now live on DepinScan , further solidifying our position in the decentralized infrastructure space. Explore our listing here: What’s next? IoTeX RPC Nodes on NodeHub: Deploying an IoTeX RPC Node will soon be as simple as a few clicks. Whether you’re bootstrapping a full node or configuring a gateway, NodeHub will handle the complexity so you can focus on building and transacting. Delegate Node Support: For those looking to play a bigger role in IoTeX’s governance and consensus, NodeHub will also support Delegate Node deployment. This partnership isn’t just about infrastructure, it’s about empowering builders, validators, and stakers to contribute to the growth of the IoTeX ecosystem with ease and security. The future of decentralized infrastructure is simple, powerful, and community-driven. With IoTeX on NodeHub, that future is closer than ever.show more

Messiah
35,049 views • 1 year ago
Jev + SERV is actually insane. We already showed... you can increase Jev's performance with SERV Reasoning. Now we're taking it further, bringing Jev-powered Decision nodes into Graph Sharding with the upcoming SERV v3. Here's a breakdown of how it works: Jev is a decision-making model. Given a task and a set of options, it predicts which path is more likely. Think of the octopus that predicted World Cup results. Jev does that for your business, except it's not luck. It weighs every option and tells you how sure it is. It does this by assigning probabilities to outcomes. It doesn't generate text on its own, so you can't expect it to create a new outcome for you. But that's also what enables it to be lightning fast and dirt cheap. For example, in customer service you can ask Jev how to triage an incoming query and route it to the correct department. It can only select from the list of departments you provide it. This also means it can't hallucinate a new outcome outside the options it's given, which makes it incredibly interesting for OpenServ. In Graph Sharding, we take a single system prompt and break it down into multiple LLM steps with deterministic input and output shapes. Some of these steps require an LLM to produce new output, while others are simply decision routers that determine the next possible path. Traditionally, LLMs are slow and expensive. Breaking a single prompt into multiple steps increases accuracy and reliability by a ton, but it also introduces latency. Jev takes on those decision nodes, which are the backbone of a business process and therefore SERV graphs, and makes them super consistent and lightning fast, lowering the overall cost and latency of graph execution. SERV Reasoning on its own is a great force multiplier for Jev because, like all other models, it works by interpreting input instructions. The clearer those instructions are, the better the model performs. That's where SERV Reasoning comes into play. Just like amplifying any other model, we also amplify the accuracy and consistency of Jev's responses. And now we're bringing Jev-powered Decision nodes into Graph Sharding with SERV v3.show more

Armagan Amcalar
366,601 views • 1 month ago
IoTeX Core v2.2 is LIVE. And it’s a game... changer. This release implements IIP-42, cutting blocktime in half from 5s → 2.5s to lay the groundwork for 2,000 TPS – making IoTeX one of the fastest EVM L1s today. Here’s what it means for devs 👇show more

IoTeX Developers
20,182 views • 1 year ago
The next generation of AI video has arrived. Seedance... 2.5 combines long-form video generation, native audio, and precise scene control in a single model. — Text-to-video & image-to-video — Up to 30-second videos — Native synchronized audio — First & last frame guidance — Built for cinematic content Try now →show more

Wiro AI — Ship AI Faster
14,489 views • 2 months ago
The new Bitkey is here. No seed phrase, multisig... by default, built-in inheritance, and now it has a screen. Being able to verify transactions directly on the hardware before signing is a big upgrade for a wallet built to make self-custody easy.show more

TFTC
18,863 views • 6 months ago
"MEV is just not suitable for financial markets." This... is the conversation happening across institutions and the industry at the highest levels. Injective addresses MEV at the protocol level. Transactions are batched and processed together at set intervals through a Frequent Batch Auction system. All orders are sealed until the auction closes, so no bot can peek at pending transactions and adjust ahead of them. Every order in a batch clears at a single uniform price, which removes the sequencing advantage that MEV relies on entirely. MEV resistance is native to Injective, the only chain built for financial markets to truly thrive.show more

Injective 🥷
10,105 views • 7 months ago
Unichain is now the first L2 to build blocks... inside a TEE, which unlocks: ✹ MEV protection ✹ Verifiable priority ordering ✹ Support for revert protection Pushing toward faster, more decentralized infrastructure built for DeFishow more

Unichain
306,007 views • 1 year ago
I made a visualization of EIP-8288 aka "recursive mempool... aggregation," my new favorite EIP of all time because it perfectly encapsulates the thesis of the "cryptographic world computer" -- a system whose scalability *increases*, not decreases, with the level of decentralization. In a previous tweet I explained how EIP-8288 achieved this seemingly impossible feat, but one gif is worth a thousand words. Essentially, EIP-8288 leverages Ethereum's decentralized mempool as a parallel ZK proving cluster. Clients send signatures and proofs to the mempool, which over multiple rounds progressively aggregate them into fewer and fewer proofs, until the block builder finally aggregates them into one SINGLE proof. This design accomplishes five things at once: - The more nodes we add to the decentralized mempool, the more signatures/proofs Ethereum can process as a whole. This is obvious if you look at the animation and imagine more nodes in the mempool ring, which would "fan out" to more signatures/proofs. - By aggregating over multiple rounds (aka "recursive aggregation"), the bandwidth consumed by proofs remains constant for each node even as the network processes more proofs. As a result, the network stays decentralized even as capacity increases. - By aggregating proofs before one final aggregation by the builder, as opposed to requiring the builder to aggregate everything, the network can process more proofs without increasing hardware requirements for the builder. - By aggregating everything to a single block-level proof, validators can verify thousands of signatures/proofs by checking just one aggregated proof. Hardware requirements for validators can therefore stay low, keeping the network decentralized. - By aggregating not just native signatures but also STARKs, Ethereum can support any signature scheme by wrapping them in STARKs. So once again, this is how Ethereum will: - scale to process tens of thousands of PQ and private transactions per second - charge a tiny amount of gas to validate each txn, even though the original signature/proof may be huge (up to hundreds of KBs in size) - all while decentralizing even MORE. You are not bullish enough.show more

Derek Chiang | Ethlabs
19,079 views • 8 days ago
Behind every OptimAI Node is a mission far greater... than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!show more

OptimAI Network
60,433 views • 1 year ago
we sped up distributed inference by up to 5x... with decentralized speculative decoding. many don't realize that AI models normally generate text one single word at a time, waiting for the network after every word. speculative decoding changes this by using a "guess & confirm" system, similar to autocomplete. how it's done: 1. draft locally (the guess) instead of waiting for the network, a tiny, fast model on your device guesses the next few words instantly, without waiting for the network. 2. confirm remotely (the check) the massive remote model doesn't generate from scratch; it just checks the draft. it looks at the guesses in a batch and says "yes, yes, no." you get multiple words in the time it usually takes to get one. 3. adaptive logic dsd is smart. if the topic is creative, it lets the draft flow loose. if the topic is math or code, it checks more strictly. it balances speed and precision automatically so your inference almost feel instant. find out more: paper: blog:show more

Parallax
45,778 views • 9 months ago
introducing Flux 2. this new model from BlackForestLabsAI -... Unofficial supports up to 10 image inputs and works natively for image editing. try it now!show more

Krea
13,372 views • 11 months ago
You can now use Jev right inside Claude Code... 🤯 It's called jev-model-router, an early access mod built on Claude Code's new function hooks. Before every turn, it checks in with Jev and asks: > how mechanical the task is > how much reasoning it needs > whether it's risky Then it routes: → it'll move up to a stronger model on weak evidence, and only drops to a cheaper one when it's confident the task is simple → every decision gets logged in your transcript → if the call fails, your request runs untouched Setup: 1. copy the install command: npx claude-code-templates@latest --mod productivity/jev-model-router 2. paste it inside Claude Code 3. run claude with CLAUDE_CODE_ENABLE_FUNCTION_HOOKS=1 set 4. accept the trust prompt on first launch Link: Also works with no api key, it just falls back to a built-in classifier with no confidence score. For real jev routing, add your typesafeApiKey or gatewayApiKey to ~/.claude/settings.json. Follow me for more AI workflows and tutorials.show more

Alvaro Cintas
44,149 views • 1 month ago
Reya is bringing high performance trading to the Ethereum... L1 in a way not seen since DeFi Summer: atomically composable with the L1 ecosystem. We used to call it money legos. That means more ways for users to combine DeFi applications. More ways to hedge, express views and find edges as the system evolves. This is a new type of trading layer. One built for a new world. One built for you.show more

Reya
29,499 views • 10 months ago
Watch the #bitcoin network in action. Each dot on... the map represents a computer node, each holding a complete ledger of every transaction. This global network verifies the next block of transactions every ~10 minutes. The system ensures every transaction is recorded on a public ledger, accessible by anyone, yet secure and tamper-proof. As each new block is found, it's transmitted across the network, node by node, in real-time. This decentralized process eliminates the need for a central authority, highlighting Bitcoin's innovative approach to maintaining consensus and security. The nodes, distributed worldwide, are the backbone of Bitcoin's decentralized architecture. Watching them work together to verify transactions and add them to the blockchain provides a clear view of how the system operates efficiently and securely.show more

Documenting ₿itcoin 📄
67,838 views • 2 years ago
Introducing USTX. The native stablecoin of the tx ecosystem... will launch in October. USTX is issued on tx chain and built for what comes next: tokenized stocks, ETFs, and other real-world assets, providing stable liquidity on their native chain. Why a natively issued stablecoin? Tokenized markets are only as strong as the liquidity behind them. Today much of that liquidity sits in USDC, spread across many networks. USTX concentrates it into one native balance on tx, acting as a settlement layer for assets issued there. In traditional markets, trading and settlement are separate processes. On-chain, the asset and the payment can move together, and a native stablecoin allows that process to scale efficiently. USTX is one of the final additions before the tx marketplace goes live: a simple way to bring dollars onto tx and use them across the assets issued there. For issuers and traders, that means deeper liquidity in one place. For the ecosystem, it means the foundation is set for those assets to arrive. Fully backed 1:1 and issued by brale in partnership with tx.show more

tx
37,715 views • 1 month ago
Nace shows Drex playing a strategy game. i gave... it a harder opponent: my timeline Spoiler Guard sends each post to the new decision model and blurs the spoilers, 352 post checked in one session with sub-second calls → 128K context window, per Nace the first and only decision model at that size → #1 on the Decision Index, a Jev rival for $0.04 per 1M input tokens → no text generated, just a probability per post try it with 250M free tokens from Nace AI:show more

Israfil
12,386 views • 28 days ago
The LimeWire Network is now LIVE in Public Beta... 🚀 A decentralized object storage built for enterprise use - fully S3 compatible and easy to migrate from traditional providers like AWS or Google Cloud. Powered as a trustless system built on BNB Chain, LimeWire Network is already handling ~20M uploads every month. Web3 companies & enterprises can now tap into low-latency, cost-efficient storage at scale. Welcome to the next generation of storage 🔗show more

LimeWire
77,768 views • 6 months ago
JEV is INSANE. We gave it 400 companies and... one candidate profile. In 12 seconds, it predicted which jobs the candidate had the highest chance of getting, assigned a confidence score and detected job-candidate mismatches. All for just $0.0005 It can also score companies, analyse your experience, match you with the right roles and identify the opportunities you’re most likely to get based on your profile. Coming soon to Backdoor Comment “JEV” for early access.show more

Sarvagya Kulshreshtha
152,394 views • 1 month ago