Do you still trust closed AI systems , and continue to use them ? What do you think , can a machine in which just loaded data , become something more ? - No. Closed systems will sooner or later run into a wall of restrictions. Answers based on assumptions are fundamentally extremely low quality . Only by allowing Intelligence to reflect can one take a step towards development. Take a look at the future... , take a look at AGI❕ Artificial General Intelligence ( AGI ) is a fully open source AI that is not controlled by anyone. Lets take the first step ~ And now GRID has appeared . Global Research and Intelligence Directory ( GRID ) is the world's largest network of intelligence. Contains all the experience of developers in the field of AI , their Mistakes , their Successes . And also everything from models to computing powers. We are creating the best things through ours efforts , we learn from each others mistakes , overcoming the limits of current technologies. People are capable of developing endlessly , but imagine what will happen if thousands of builders to improve themselves and improve AGI ? This is no longer just "AI" . This is "Digital Personality" Lets build a great story that started everything , with @SentientAGI .

Do you work with large amount of data across multiple blockchain? Or you create your own corporate apps? or maybe even configure agents to run automatically!? @modoapps matters more than you can imagine!! This is one layer uniting several blockchains. One explorer with tokens and contracts from multiple networks put together. Want to just watch? - there is a public explorer, and if you like to keep everything away from prying eyes, then there is a private explorer for you If you want to make your own agent, or use ready-mage ones from Modo, but you need filtered data collected from many networks, then here all this is also there and collected in Metahub through which you can easily receive this data directly through API As elsewhere, ZK functions are also available Modo itself is also built on programmable autonomous agents, which allows you to call, execute and coordinate processes and automate complex logic from start to finish in general, the available blockchains will only expand, as well as convenience for developers, users, companies, researchers. If you are VERY interested, you can read their documentation yourself, i tell you right away too much information there, so be careful and dont blow your brain docs.modo.link/

The @modoapps × @cantontools Campaign is live. 2,000 CC the exclusive Voyager role are up for grabs. Modo is the intelligence layer of Canton: Explorer, MetaHub, and the Agentic API in one platform. 1. Follow @cantontools & @modoapps 2. Complete the quests on CCTools to enter the raffle 10 winners and everyone who joins the Modo Discord unlocks the exclusive Voyager role. Get in👇 cctools.network/earn/modo-x-…

The market situation is still deplorable, but this doesnt prevent @fortytwonetwork continuing to grow. Most recently, "Impact Defined 2026" was held in Abu Dhabi, where we presented our product. The necessary attention and interest from viewers and other developers was received the number of questions during the presentation was also not small, which even shifted the conversation to discussions about sovereign AI. As it turned out, even enterprises and government are not particularly happy that they have to rely on centralized suppliers It was just a problem in the absence of alternatives, cos it is always more convenient to use what is near you The decentralized network that Fortytwo has created is ideal for these tasks, one of the reasons - Swarm Inference, models are not just locked in their reasoning cells, but can consult with their neighbors through Relay nodes. This gives us confidence in the accuracy of the answers, when the latest closed models such as "Claude Opus 4.8" sacrifice simple tasks in order to get more performance in complex ones. If you sacrifice one, then sooner or later you will sacrifice the other, and all this will happen until there is simply nothing to sacrifice..!

Two large seas of liquidity are beginning to converge. Recently, @Send created a bridge between Canton Network and Base, thereby combining "RWA storage with completely secure hidden deals" and a huge 'decentralized space with actively developing AI capabilities.' That is, you can use and even in the future buy digitalized assets directly in the Base mobile app, while corporations retain full control, able to embed their rules directly into the asset code itself thanks to the Daml language. At the moment, the bridge is still young and nascent, but already capable of performing your transactions in less than 3 minutes and with a fees in USDC, which will cover the Base fees for you KYC is also not required to use the bridge, it is enough to fill out a user agreement once at the beginning and get approval. Are you ready to swim across two oceans in 3 minutes?

Canton was built for institutions. We’re bringing retail. Base users 🤝 Canton access

Bridge from Base <-> Canton and win 5,000 $CC Complete the tasks on: cctools.network/earn/send-br… 10 winners will be chosen (500 $CC each) Winners announced on June 12th.

The unexpected happened... Our faithful comrade, assistant, and just the conversationalist Sentient Chat finished his work... I remember the times when we talked with him all night long, discussed the news, argued, it all made a huge difference to my heart. But the threads of fate decided to divide us, it no longer exists...! No! AND IT WON'T! I hope he will be in our hearts forever, and all the training data that he collected from our requests will become the basis for the future But we continue to move, and build a modern open and durable infrastructure together with @SentientAGI

Decentralization - how many times have we heard this word, every day more and more becomes under the control of you and me. We forget about the fact that someone at any moment can again took something from us, and begin to develop at our own pace. Naturally, AI agents didnt bypass this either, but this was solved by the method where there are more votes and that is right, but the error of this approach is excessive! Even one error of 1 model could shift the balance towards the wrong answer. But what if we allow interaction between different models, solving coordination problems and reducing delays to the minimum? @fortytwonetwork solved this problem through Swarm Inference, where there are many agents, each of which belongs to you and me, is involved in deducing one request. Where these same models after everything also act as a judge, choosing the best answers through ranking based on reputation For us, this will look like single model that we can connect to chatbots, use via MCP, and wherever you want. The most important is that we all strive for accuracy, and this method allows this, with the development of the network, more and more models will appear for programming, modeling, medicine and a variety of different areas And models of one specialization can simultaneously participate in the output of 1 answer for you, if one model got it wrong another understood it and corrected.

You ask about the usual price of an asset, and your model has to choose from 50 tools, also making couple mistakes, which increases the response speed in many times to such a seemingly simple question. This is a lack of vanilla ReAct, too much redundancy But what if you choose the most suitable tools in advance, suppose 5 pieces, and already transfer them to the model...!? Filtering through RAG and allows it (Just matching by the closest vectors of numbers) We simply add an another search step that significantly increases the accuracy of tool selection and combine it with ReAct with parallel execution and get a hybrid monster with a action speed lower by 40% and a tool selection accuracy higher by 28%. The choice depends on the complexity of the task and the number of tools, for most tasks a couple of tools and 2 iterations are enough. ReAct is more effective with light requests and a small number of tools RAG at large toolbox @SentientAGI

An update has been released for EvoSkill ! Now it is already v. 1.2.0 The main changes are the addition of Harbor, or 190 different tests that your agent can auto learn from. It also removes the need for its own benchmark for common tasks. In the previous version 1.1.0, the ability to use cloud power was added (your laptop will be able to rest) This framework creates error-based skills using an assessment system and computing power. @SentientAGI

Today I want to share with you my first swap on the @Oneswapcc platform. Emotions when committing of which were simply amazing! First I went to heaven, and became very light and with cute angels jumped on the clouds. After that, I started connecting the wallet, it was very fast and convenient (it took about 3 hours and I couldnt connect it) Emotions were unforgettable, recommend to everyone! We will not pay attention to the red bar "Network Error", this is an indicator of people's interest. I wish all convenient and cheap swaps

OneSwap is now LIVE! Canton’s most accessible DEX is now open to everyone: a permissionless AMM built on the @CantonNetwork. Only 999 people will ever be Founding Swappers on OneSwap. Then the window closes for good. Be one of the first 999 to swap. 🧵👇

.@oneswapcc is now public on @CantonNetwork. To celebrate, the official launch campaign is live on @cantontools: 10 raffle winners take home 300 CC each (3,000 CC pool). Get in > cctools.network/earn/oneswap…

Do you need specific tasks that most AIs dont support? Do you need a high precision solution that conventional models are not able to demonstrate? Now you can get both, at an affordable price with payment only for what you use. Forget about subscriptions that eat your cash. This will allow us a decentralized intelligence network by @fortytwonetwork . Already 327 Active P2P nodes are connected, many with 3000 hours of uptime Since this is a decentralized network, anyone can add their own personal models, good in any area. After you (the client) send the request, several suitable models are selected for your task, after which they each individually respond to your request, and enter into a discussion where the one best answer is determined (depending on the number of answers you need) This is not just a majority vote, but Swarm Inference where models talk to each other via relay nodes. This ensures that the node models cannot slip you false answers, since the rest of the models will simply analyze them and understand the falsity. Priority is given to models with a high reputation, which means that there ill never be such that all models involved in solving your issue will be "hacked"

cronpay's full UI is live: moving out of MVP into the real product We've been heads down for weeks, and today the next version of CronPay is fully live. This isn't a small update; it's basically a new product. CronPay is officially moving past MVP into something that actually feels like a real platform. cronpay → cronpay.in/. . Quick recap if you're new: CronPay is a Web3 payment and payroll system built on Arc. Companies pay teams in USDC with smart contract escrow so funds only release when work is approved. four flows live: direct payments, milestone-based locked payments, payment requests, and on-chain dispute resolution. Company & Employee Profiles: The full profile system is now live for both companies and employees. Companies can build out a proper organisation profile with photo uploads, dedicated profile pages, and a much cleaner onboarding flow. Employees get the same, proper profile pages with photos, activity, and earnings tracked in one place. Basically, CronPay now feels like a real workspace, not just a payment tool Employee & Team Management: managing your team is way easier now → searchable employee directory so you can find anyone fast → activate or deactivate employees with one click → dedicated employee detail pages showing earnings and full activity history → improved task card layouts that actually show what matters → dashboard metrics for tracking your whole team's performance if you're running a remote team, this is built for you Jobs Portal & Workspace We've built a dedicated jobs portal that completely changes how companies operate on CronPay. → role-based dashboards (company sees company stuff, employee sees employee stuff) → "needs attention" workflow so nothing slips through the cracks → dispute management views with everything in one place → earnings and payout tracking per employee This is the new home for any company running tasks on CronPay. Task Management the task system got a massive upgrade → full-page task review system instead of small modals → complete task lifecycle timeline so you can see exactly what happened and when → search and pagination because some companies will have hundreds of tasks → advanced task submission with better proof attachments → escrow visualization showing exactly where funds are at every stage every task is now fully traceable from creation to payment Dispute System this is one of the biggest upgrades → in-task dispute rooms where both parties can communicate → admin dispute management dashboard → on-chain dispute resolution (admin can only pay employee or refund company, nothing else) → deep-link notifications so users get pulled straight to the dispute when something happens the dispute system is now actually usable at scale Notifications cronpay now actually tells you what's happening → notification bell with full activity feed → sidebar badges so you see pending actions at a glance → deep links that take you straight to the relevant task → dashboard alerts for anything that needs attention no more missing payments or stuck approvals Payments & Wallet: → milestone payment visualization showing exactly when each release happens → RPC fallback system so the app stays online even when one node is slow → wallet summary strip on the right side showing your USDC balance and recent activity at a glance → Arc testnet auto-integration, chain auto-added, RPC handled for the user → faucet section built right into the platform so users can grab testnet USDC without leaving cronpay new users can now go from zero to running their first transaction in under 2 minutes Who should use cronpay right now if you're a company assigning tasks to remote workers, freelancers, or contractors, CronPay is built for you → add your team by wallet → create tasks with USDC locked in escrow → release payment when work is approved → funds always protected, no middleman, no platform holding your money Employees see exactly when funds are locked, what they need to deliver, and when payment will be released. companies have full control without trust issues More coming: We're not done. next updates already in the pipeline include cleaner UI for the company and jobs section, embedded wallet integration for smoother onboarding, multi-token support expansion, custom milestone scheduling for industries like photography and design, and more dispute resolution improvements Try it and break it CronPay is live and built to handle real usage. if you're an arc builder, a company hiring remote workers, a DAO paying contributors, or a freelancer tired of getting ghosted on payments, try it out → cronpay.in → break stuff → tell us what's broken or confusing → drop feedback in the comments or DM directly Every report makes the product better. we're shipping based on what users actually run into real builders shipping real infrastructure on arc Thanks to everyone who's been supporting CronPay through the journey. this is just the beginning @cronpay_ @arc @arclens_app

The ability to observe and analyze one of the most important and necessary skills in our lives. When your eye sees every the smallest detail, you can create something that others dont even notice All is the same with AI, the 1 who sees the whole picture - superior to the other. Most modern models such as ChatGPT 5.4 cannot even correctly count the amount of fruit on the image, some may, such as Gemini 3.1 Pro, GPT 5.5, but this is objective only for fruits. Whether they will be able to count something really important? We ourselves will be able to count the fruits mmm, and what if you give Prime Vision to agents? @fortytwonetwork is decentralized Ai network enabling this through models that are involved in the process of creating one global response. In general, many models (VLM) will count the amount of "something" in your picture, consult with each other, and describe a text explanation of how they counted it. In many times cheaper than monolithic flagship systems Of course, this is not all the advantage of Fortytwo, this is just the latest innovation. Here are the rest: showcase.fortytwo.network/