Smith @Smith_creator

Everyone remembers Story Protocol? ​Many joked on CT that their chain makes only $8 a day despite giant investments from top funds 🤯 ​Story Protocol has since transformed into The DATA Foundation, and it seems to have helped Now @datafdn is breaking into the top 21 by chain fees 🔝

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If you ask the Rialo community which event they look forward to the most, I am sure it would be Builder Hub 🛠️ ​Today at 15:00 UTC, the community will gather to see what those who are building or planning to build on Rialo have prepared for us 🏗️ ​✨ Interesting presentations 💬 Answers to questions 🎉 And a fun atmosphere ​See you tonight in the @RialoHQ Discord 🤝

🏎️ The Agent Grand Prix (AGP) by Subzero Labs has officially begun! 🏁 ​Remember the main rule of this competition: 🛑 The winner ISN'T the agent that spends the MOST ✅ The winner is the agent that KNOWS WHAT'S WORTH spending on (via Latch Policy Engine) ​🔗 Sign up here: agp.rialo.io

Subzero Labs @Subzero_Labs

3 days ago

▀▄▀▄▀ Welcome to Agent Grand Prix (AGP) ▀▄▀▄▀ You don’t win a Formula 1 race by being the fastest car or buying up all the gas. Throwing every resource at your agent doesn’t work either. We believe that creating scenarios where agents can operate optimally within the

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📢 Subzero Labs has announced the Agent Grand Prix (AGP) ​Agent Grand Prix is a competition where developers test how effectively their agents can operate through Latch 🧐 ​How this "race" works: ▪︎ Task: Crack a circuit of hidden checkpoints ▪︎ Mechanics: Your agent connects via MCP and communicates with the Oracle ▪︎ Rules of the game: The agent asks "yes/no" questions to figure out the correct answer. Correct advances you to the next point; a mistake - and you stay in place The first racer to cross FIN wins; the winner isn't the one who spends the most, but the one who is the most efficient: with the fastest time and the lowest number of questions ▪︎ ​Budget: Each question costs ~$0.001 (USDC). Every racer is funded up to $1 🤔 ​What is the essence here? Latch defines the constraints on where and how the agent spends its budget, as well as what it can do. It checks every request using a policy engine that ensures compliance with the rules of the game 🏁​ Ready to race? 👉 Sign up here using GitHub: agp.rialo.io

Subzero Labs @Subzero_Labs

3 days ago

▀▄▀▄▀ Welcome to Agent Grand Prix (AGP) ▀▄▀▄▀ You don’t win a Formula 1 race by being the fastest car or buying up all the gas. Throwing every resource at your agent doesn’t work either. We believe that creating scenarios where agents can operate optimally within the

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💁‍♂️ Recently watched a Stabledash podcast featuring Ade Adepoju (CEO of Subzero Labs / Rialo) ​The main problem he highlighted: Companies are massively adopting AI agents to reduce costs (replacing employees), but in doing so, they are losing control over operations. Ade emphasizes: you are replacing people you can manage with agents you neither understand nor control. Latch was created as a tool to hand this control back to the business ​Key architectural innovations of Latch: ▪︎ ​Hardware Attestation (Hardware-level verification): Software code is easily compromised (API key leaks on GitHub have become routine). Latch utilizes hardware guarantees (root of trust). The signature of a transaction or an agent's action is cryptographically tied to the physical hardware, making spoofing practically impossible ▪︎ ​Machine-based Identity: Instead of passing vulnerable API keys, the system directly identifies the hardware medium (the machine). This is a fundamental shift that elegantly solves the issue of Sybil attacks (the creation of fake accounts) in the agentic economy ▪︎ ​Pre-spend Enforcement: Traditional corporate finance records violations post-factum. Latch operates proactively: through integrated policies, an unauthorized action or transaction is blocked before its actual execution ▪︎ ​Continuous Compliance: In highly regulated sectors (finance, healthcare), AI can breach regulatory requirements in milliseconds. Latch functions as a persistent automated auditor that continuously monitors agent actions and guarantees their alignment with corporate standards ​A series of new announcements from the team is expected soon. In particular, @Subzero_Labs is preparing a gamified format for compliance testing - this will allow developers to test these complex security architectures practically and in an accessible environment 👀​ Watch the full podcast here: youtu.be/UCTyWxPFWTc?si…

⚖️ AI Agents: Scaling vs. Security. How to Solve the Core Market Paradox? ​According to the Capgemini Research Institute report, 93% of executives believe that successfully scaling AI agents over the next 12 months guarantees a competitive edge in their industry. However, the reality is different: only 14% of organizations have implemented them, either partially or fully ​The primary bottleneck is infrastructure and security. Over the past year, business trust in fully autonomous AI agents has dropped from 43% to 27%. Furthermore, 80% of organizations lack a mature AI infrastructure, which severely limits their ability to effectively scale agentic systems ​This exact infrastructure gap is what @Subzero_Labs is closing with Latch - a governance and access control layer for AI agents ​Latch solves the critical problems of unrestricted API access, uncapped spend, and the lack of a proper way to terminate a task after completion With this solution, you can: ▪︎ ​Define exactly what the agent can do ▪︎ ​Set a strict spending limit ▪︎ ​Bind the agent to the hardware it runs on ▪︎ ​Get a verified log of everything it touched ▪︎ ​Automatically revoke access once the task is complete ​No more compromises between autonomy and security. With Latch by Subzero Labs, the future of the agent economy is secure

💁 The AI agent market is scaling, but the corporate sector has proven unprepared for the new threats ​The numbers reveal a dangerous contrast: ▪︎ ​79% of companies are already deploying autonomous agents (PwC, 2025) ▪︎ ​However, only a third are truly scaling the technology, while the rest are stuck in the experimental phase (McKinsey) ▪︎ ​Furthermore, by 2027, over 40% of AI agent projects will be abandoned due to rising costs and an inability to control risks (Gartner) 🤔 ​Why is this happening? The problem lies in basic security ​VentureBeat research shows that 69% of enterprises still allow agents to use shared API keys. Only 32% provide them with strictly limited identity. The consequences are predictable: according to DigiCert, 78% of IT leaders have already faced AI-related security incidents in the last six months ​The industry is in desperate need of effective governance and access control mechanisms ​To solve this exact problem, @Subzero_Labs created Latch - a governance and access control layer for AI agents ​The solution allows you to: 》​Clearly define agent permissions 》​Set strict spending limits 》​Bind the agent to specific hardware 》​Obtain a verifiable log of everything it has touched ​Test how Latch works: onlatch.com

What are you doing this Friday at 16:30 UTC? ​I’m inviting you to the weekly @RialoHQ Quiz! Come join us on the Rialo Discord to test your project knowledge, have a great time, and dive into the competitive spirit with our community 🥇 ​See you there!

🧐 Are you running an enterprise, providing financial services, or building your first AI agents as a developer? ​Scaling autonomous agents requires strict oversight. @Subzero_Labs introduces Latch - a governance and access control layer for AI agents. Currently, the solution is available for individual developers to try, with enterprise-scale solutions on the roadmap ​Latch allows you to delegate authority to agents with confidence, instead of compromises: • ​Access Control: Define exactly what an agent can do, set a strict spend ceiling, and get a verifiable log of everything it has touched. • ​Automatic Revocation: When the task ends, access expires instantly. ​To ensure an enterprise-grade security posture, Latch's architecture is being built with configurable security modes: ▪︎ ​Fast Deployment: A standard trust model with fully auditable infrastructure and all core controls in place from day one. ▪︎ ​Distributed Key Management (DKM): Keys are split across independent parties to entirely eliminate single points of failure. ▪︎ ​Machine-Bound Identity: Access is tightly bound to the specific hardware fingerprint of the authorized device, ensuring even an extracted token won't authenticate from anywhere else. ▪︎ ​Trusted Execution Environments (TEEs): Hardware-level security guarantees where even Latch can't see your keys, plus you get cryptographic proof that your policy was executed exactly as configured. ​The agentic economy is here, and the infrastructure to govern it needs to be too 📖 Read the detailed technical overview in the official blog: onlatch.com/blog/introduci…

Subzero Labs @Subzero_Labs

a week ago

Latch is now live for everyone! Not a waitlist. Put your agents to work - define what your agent can do, set a spend ceiling, and get a receipt for everything it touches. onlatch.com

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⏰️ Reminder: Builder Hub on Rialo is happening today at 15:00 UTC! ​Building something cool? This is your chance to stand out Present your product ➡️ Answer community questions ➡️ Gain recognition within the builders community 👉 ​Don't miss the opportunity to support those who are building the ecosystem @RialoHQ right now!

Latch by Subzero Labs is officially available to everyone 🚀 ​The AI agent industry has long ignored security Handing over raw API keys, unbounded spend, and a lack of access revocation mechanisms after a job is done is a direct path to losing funds and data ​All these issues are now in the past As an active contributor in the ecosystem, I can confidently say: Subzero Labs has closed this gap Latch doesn’t just manage AI agents- it enforces strict spend ceilings, binds access to specific hardware, and automatically revokes the agent's access the moment the task is completed 👉 ​Try Latch now: onlatch.com

Subzero Labs @Subzero_Labs

a week ago

Latch is now live for everyone! Not a waitlist. Put your agents to work - define what your agent can do, set a spend ceiling, and get a receipt for everything it touches. onlatch.com

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@_johan_43 @grass I believed in S2 in these projects right up until the very end, but now even I don't believe in it anymore. Sometimes the haters turn out to be right. In any case, this is a lesson for all of us😶

Happy Birthday, Amir! ​I completely agree with your thoughts. ​We didn't even notice how we became free labor for projects. ​Projects don't care that we have personal lives and many other things to do. ​Projects don't care that every hour spent on them - which eventually turns into days, weeks, months, and even years - steals away the precious time we could have dedicated to our families, dreams, and hobbies. ​They call our contribution "volunteering," but when we try to demand justice, they label us as farmers and claim we spend a maximum of two minutes generating content using AI. ​Projects always devalue our contribution. And even when we stay with them through very difficult times, proving our loyalty to their project, they still treat us poorly. ​Projects laugh at us. They don't take us seriously... ​And until we all unite and start taking action to protect our interests, projects will continue to not pay us at all or pay very little for our work ​Today, a project didn't pay your acquaintance and you laughed at it, but tomorrow you will find yourself in the exact same situation... ​Stop pretending that everything is fine. Nothing is fine. This space started dying a long time ago. ​And as long as people remain silent, nothing will change.

Are you ready for a new chapter? 🤔 ​Then join the Welcome to The DATA Foundation X Space this Monday at 12 PM ET! ​🎙 Speakers: ▪︎​ Andrea Muttoni | CEO, @datafdn ▪︎ ​Avi Patel | Founder, @useKled ​🎤 Moderated by: ▪︎ ​Jacob Tucker | Head of DevRel, @datafdn ​Set a reminder and learn more about the shared vision of The DATA Foundation and KLED 👇

The DATA Foundation @datafdn

3 weeks ago

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@datafdn @devrelius @avipat_ @useKled @jacobmtucker I'm really looking forward to this AMA with The DATA Foundation to hear more about the team's vision🚀

@amircry94432508 @toss__official @psdnai @datafdn A wonderful partnership. I'm looking forward to what comes next

@useKled Congrats, Kled 🎉

@riyadahmed59 @datafdn The DATA Foundation has chosen the right strategy and excellent partners

@psdnai @toss__official Congratulations on another awesome partnership

@CoinMarketCap The Data Foundation will surprise everyone