gingrbrdmn
55 posts



We'll buy YOUR bag 🫵 And seed a $10k Pod with it! Announcing Seed Stage: An incubator for pPEAS-paired Pods on @base ( and 🟨🟨 soon 👀) TL;DR: 1️⃣ Community suggests tokens + votes on winner (on X) 2️⃣ $PEAS team buys token + seeds a $10k Pod 3️⃣ 5 weeks, 1 Pod/w Read more 👇









ASKJ also sold all their ARC last week, so LISTEN three days ago, ASKJ last week. I see people in the TG asking for buybacks, accept it, these guys are dismantling the show. They’re just waiting for a miracle, like a manipulator using spot + perps to prop it up




There is literally NOTHING new launching on eth and base (besides virtuals genesis tokens and some low-effort memes) I would have thought that all of these devs waiting for “better market conditions” would have launched their token by now, but either these devs have all given up because of memes or they still don’t think the market conditions are good enough If you are a dev considering launching your project on eth or base, just do it. You literally have zero competition



Hey everyone, Sorry that took way longer to type than I anticipated It's time to change security engineering forever. Grab your team or coffee, this is worth your time... For those that aren't aware, I've been building a ton of new infrastructure and systems to match, and today I'm finally able to start talking about it in-depth. Enter: The Mizuki Framework The Mizuki Framework is a groundbreaking system that lets developers train their own security AI models on ANY security rules, for ANY programming language. Think about that for a second - your rules, your language, your security model. But here's where it gets wild: These aren't just basic models. We've engineered a framework that exports to both ML and ONNX (Open Neural Network Exchange) formats. Why does this matter? - .NET developers can run these models locally - Web developers can plug them into existing agent frameworks - Any AI agent can become a security expert through ONNX inference You can train these models on a basic laptop. No expensive GPU farms. No cloud dependencies. No vendor lock-in. We're democratizing security AI from the ground up. Take a sip of your tea and le that sink in: Every developer, every company, every open-source project can now train and deploy custom security AI models. The barriers to entry are practically gone with the tooling that will be built from this framework. The Mizuki agent that's been turning heads on Twitter? That's just ONE application. It's using our security model for inference alongside an LLM. Mizuki stands for more than just what you've seen and interacted with. It's an entire ecosystem. Want to swap out models on the fly? Done. Models are hot swappable. Need to update training data? Easy. Simply point the framework to your preferred training config. Want to build your own security framework? Go for it. We're making this completely open source because we believe security AI shouldn't be gatekept. The ONNX bridges we're building mean any developer can integrate these models into their agent frameworks - This includes @ai16zdao's @elizawakesup agent and framework for example. Let me blow your mind with just ONE example of what's possible: Imagine a Copilot-style tool for security, but running completely locally. As you code, it analyzes every line in real-time using Mizuki models. No cloud calls. No latency. No cost. Your IDE becomes a security expert that: -Instantly flags security issues -Suggests secure alternatives -Runs at the speed of your typing -Works offline -Knows YOUR specific security rules And because it's using locally-running Mizuki models: - Zero latency - Complete privacy - No subscription fees - Custom-trained on your standards - Fully autonomous I wanted to tweet this so that everyone is aligned with where we're going next. We have some massive updates coming, working with some of the best and brightest in the industry to make this available to everyone. The diagram below should give you a visual idea of how the framework will allow you to train models which get exported to the two formats (ML & ONNX), which can then be hosted directly on the client and used for local inference if required, or hosted over an API for any cloud based application Thanks for reading this and your time. I really appreciate the continued support! Stay safe!




NEWS: Despot and Supreme Court Justice Alexandre de Moraes froze @Starlink assets and blocked its bank accounts in Brazil because Elon Musk refuses to appoint a legal representative of the social network 𝕏 in the country which would be instantly jailed without due process. g1.globo.com/politica/blog/…






