Mark

There’s never been a better time to start something. There’s never been an easier time to build. There’s never been more resources available. Start building. @AethirCloud

ATH Security Notice We detected and contained a malicious attack on ATH bridge contracts connecting Ethereum to other chains. Key facts: • All compromised contracts have been disconnected. The exploit has been contained. • The main ATH supply on Ethereum is fully intact and unaffected. The ETH-ARB bridge on Squid is unaffected • User impact is limited to less than $90,000 USD • A full compensation plan will be released next week

Anthropic just announced Claude Mythos, their most powerful AI model ever. Bigger, slower, more expensive to run than anything they've built before, and dramatically more capable. And they're not releasing it. Every AI lab for three years has followed the same playbook. Build it, ship it, let everyone use it. Anthropic broke that pattern. They've had Mythos running internally since February and decided the world isn't ready. They trained it to be really good at code. So good that it started finding security vulnerabilities on its own. A 27-year-old flaw in OpenBSD, one of the most secure operating systems in the world. A 16-year-old bug in FFmpeg. It chained together multiple Linux kernel flaws to take full control of a machine. Nobody taught it to hack. It just understood software deeply enough that breaking it became a side effect. Instead of releasing it, Anthropic launched Project Glass Wing with AWS, Apple, Microsoft, Google, CrowdStrike, and others. Over $100M committed to let these teams use Mythos to patch vulnerabilities before a model like this reaches the wild. On SWE-Bench Pro, one of the hardest coding benchmarks out there, Mythos scored 78. The previous best was 53. A 50% jump on a test designed to be hard to move. One company now holds a capability advantage nobody else can touch, which is the exact situation OpenAI was originally founded to prevent. They could ship this tomorrow and make a fortune. They didn't. Either it's a marketing stunt or the risk is genuinely that serious. Looking at who signed onto Glass Wing, I think it's the second one. So what does this actually mean for the rest of us? There's a question nobody is really asking yet. Have we hit a point where the best models just don't reach the public anymore? We've gotten used to this incredible run where every few months something better drops and we all get to use it. That might be over. Not because the models stopped improving, but because they got too good. The progress keeps going but the stuff that reaches your hands flatlines. That's a weird new reality. And the pricing tells its own story. Mythos costs roughly 10x what GPT-5.4 does. $25 per million tokens in, $125 per million out. Even if they did release it, this isn't a model for normal people. This is a model for companies, governments, and security teams with serious budgets. The gap between what AI can do and what the average person has access to is about to widen fast. The big open question is whether Anthropic is actually this far ahead or if OpenAI and Google are sitting on something similar and just plan to release it. If Gemini or GPT-6 lands in the next few months with comparable capabilities and they actually ship it publicly, then this becomes a very different conversation. But if they don't, or if they also hold back, then we're looking at a new era where the most powerful AI tools exist behind closed doors and the public only gets what's been deemed safe enough. Either way, the trend we've been riding is shifting. The exponential improvement line keeps going up. The line for what you and I get to use might not. Update your phone. Update your browser. Talk to your family about AI scams. The game changed and most of us are just finding out.

Soon it wont be unusual... The markets are waking up to what we are doing and its fucking exciting. $ATH & $AGPU - the Batman and Robin of Web2 and Web3 AI

Our Co-Founder, @MRRydon, dropped an exciting video demonstrating Aethir Claw's capabilities for building a CMO agent that can browse the internet, compile reports, and provide actionable content suggestions, in real-time. Check the full video bellow.

This is insane. Pedro Franceschi (29 year old CEO of Brex, acquired by Capital One for $5.15B) decomposed his CEO job using OpenClaw. here's what he’s built: > signal ingestion pipeline screens his email, Slack, Google Docs, and WhatsApp... filters everything through specific programs and the 25 key people he cares about > Granola runs on every meeting, feeds transcripts into the pipeline, and auto generates action items > the system takes each to-do, pulls context from the original meeting, and drafts the follow-up... Slack, email, or text. Pedro just clicks approve. > a virtual recruiter named "Jim" lives in Slack with his own email... and taught himself to screen fabricated resumes without anyone coding that capability > a security layer called "Crab Trap" intercepts all agent network traffic through an LLM proxy... a second AI monitoring the first in real time this isn't some bullshit hype influencer demo. this is how a $5 billion company CEO actually operates right now. anyone telling you OpenClaw is useless? liars. a billion dollar company says otherwise. (full podcast link in the post below) 👇

Get your own agent at claw.aethir.com!

I built a CMO agent on AethirClaw (thanks @AethirCloud!) - and walk you through the entire process below Few tips from the build: → Found a great Twitter API provider for non-technical users. $10 gets you more than enough credits to last a long time. → Used RSS feeds to pull live data from Hacker News and Reddit - completely free. → Youtube transcripts are a goldmine. → Everything you see in the video was generated in a single shot by the AI. One thing I'll be honest about: don't just ship what the agent gives you raw. The real value comes when you treat the output as a first draft and put in the work to refine. The better your inputs and the more you iterate on the reports, the sharper the results get. Full walkthrough in under 8 mins 👇

$AGPU just entered Q2 with ~$12M in signed contracts. Closed in 30 days. 20+ enterprise customers. 30+ deployments. H100, H200, B200, RTX 5090. Here's what makes the structure interesting: 🧵

If Axe signs $10m in compute contracts, those contracts are in USD. The USD needs to be converted into ATH to rent GPUs, and that will happen on market via market buys. The ATH will then be used to rent the GPUs from Aethir. Effectively, the majority of Axe revenue converts to ATH via market buys (buy pressure).

@MRRydon @cronosbro But they will spend $ATH they buy to provide the compute to the customers, and just keep +20% as a reserve?

Axe Compute (Aethir Strategic Compute Reserve - $AGPU on NASDAQ) just filed its first 10-K and held its first earnings call as AGPU. Let me tell you what happened. As of December 31, 2025, this company had $125,284 in total revenue from selling tumor models. Yesterday, post rebrand, they reported $12M in executed compute contracts. 21 enterprise customers. 30+ active GPU deployments. All signed within the first month of the fiscal year. Some highlights from the call: → $835K+ expected monthly income starting Q2 → 8% gross margin on bare-metal GPU contracts → Monthly prepayment structure — customers pay before deployment → Diverse GPU mix: RTX 5090s, H100s, H200s, B200s, B300s → Up to 20% additional ATH earned on every compute settlement → Expected positive margins while every single neocloud peer runs at a net loss But here's what actually matters. This was, for the first time, a demonstration of the path Axe Compute is on. Not a whitepaper. Not a roadmap. Not a promise. Signed contracts. Real customers. Real GPUs. Real dollars. The earnings report showed the commitment isn't talk - they're about to deliver something that could fundamentally change how people think about decentralized compute in public markets. And the market noticed. Within 24 hours of the 10-K filing and earnings call, AGPU saw approximately $90 million in trading volume. On NASDAQ. No market makers inflating numbers. No wash trading. No fake volume. This is a regulated exchange where every dollar is a real person making a real decision with real money. A microcap stock. One modest but compelling earnings report. One sector that is absolutely on fire. $90 million in a single day. That's the thing about capital markets that crypto doesn't fully appreciate yet. When a NASDAQ-listed company starts showing traction, particularly in AI, it doesn't just attract crypto natives. It attracts fund managers, retail traders, algorithmic systems, options desks, and financial media - all of whom have never heard of Aethir or ATH. Every one of those participants is now one click away from discovering Aethir. That $90M in daily volume? That's the first sniff. That's the preview of the scale difference between crypto markets and capital markets. That's potentially hundreds of millions of dollars worth of investors who are about to learn what ATH is - not because someone told them on Telegram, but because they found it through a stock ticker on their Bloomberg terminal. Lets imagine this volume trend continues for a few days - $500m in volume on the stock over the next week is half a billion in potential capital exposure to $ATH. Thats without buy backs or any of the other good stuff. At the end of the day, money talks. We just let a whole new market listen to what we have to say. You aren't bullish enough. All data from public SEC filings (10-K filed March 31, 2026) and the Axe Compute earnings call (April 1, 2026). NASDAQ: AGPU.

Update - my math was wrong. Volume traded was ~90m shares, so ~$340m is dollar value. 3.5x more than what I originally quoted. Lfg

@jpeg_yakuza the truth is all that matters

@MRRydon bro Mark your AI is too obvious

@cronosbro Soon - but that is not in Aethir's control, its up to Axe when they start

@MRRydon wen $ath buyback with aethir's revenue?

Try it yourself at Claw.aethir.com!

OpenClaw is the fastest growing open-source project in history, but it can be a pain to set up. We (@AethirCloud ) built Aethir Claw so you can deploy your AI agent on our decentralized VPS infrastructure in minutes. No DevOps degree required. Hit play. I'll walk you through the full onboarding, start to finish in under 5 mins! This is just the beginning...

This is the beginning of something really cool at @AethirCloud - expect more agents, more skills, more awesome AI tools. Speed of execution absolutely critical in the new AI-age, and we are excited! Go check out Aethir Claw and get ready what is coming next

@AethirCloud 🦞🦞🦞👋

Introducing Aethir Claw Easy AI agent deployment. Powered by Aethir's decentralized GPU cloud. ✅ Fully isolated VPS ✅ No third-party cloud middlemen. ✅ Fiat + crypto payments ✅ Model-as-a-Service coming soon ✅ Crypto-native skills incoming Alpha launches March 25. Your AI agent, our infrastructure. Explore our dedicated blog for all the details👇

Frontier models are getting closer and closer to running on consumer hardware. The trend is clear - you will be running frontier models locally by the end of the year.

Designers are cooked. RIP 🪦