StealthAI

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@DefiWimar Fake news. decrypt.co/365444/bitcoin… Do better.

GitHub outages since Microsoft acquisition 🤣

@cryptofergani Me

I am back as promised :) Time to start the $50 → $100,000 challenge It’s ZERO-RISK, I’ll cover $50 for each participant Last time it took me about 12 days, will try doing it faster this time If you want to follow along, comment "Me" below and I’ll send you an invite to the call group Gonna lock comments in 24 hours

Built with 27 flowers

Are you the left kind or the right kind?

⚠️ Critical Anthropic’s MCP Vulnerability Enables Remote Code Execution Attacks Source: cybersecuritynews.com/anthropics-mcp… A critical flaw in Anthropic’s Model Context Protocol (MCP) exposes over 150 million downloads to potential compromise. The vulnerability could enable full system takeover across up to 200,000 servers. Unlike a traditional coding bug, this vulnerability is architectural, meaning any developer building on Anthropic's MCP foundation unknowingly inherits the exposure from the ground up. The flaw enables Arbitrary Command Execution (RCE) on any system running a vulnerable MCP implementation. Successful exploitation grants attackers direct access to sensitive user data, internal databases, API keys, and chat histories, effectively handing over complete control of the affected environment. #cybersecuritynews

Most traders are still using AI for signals. That’s not where the edge is going. The real shift is toward agentic trading systems — AI that doesn’t just analyze markets, but actively executes, adapts, and refines strategies in real time. We’re moving from: Manual execution → Semi-automated tools → Fully autonomous trading agents The difference is massive. Modern AI trading stacks are already capable of: • Monitoring multi-market microstructure simultaneously • Detecting inefficiencies across timeframes and venues • Executing and managing positions without hesitation • Continuously updating models based on live data The edge is no longer “who has the best indicator.” It’s who has the fastest learning system. Over the next cycle, the dominant players will be those who: 1.Build closed-loop systems (data → model → execution → feedback) 2.Own unique datasets the market can’t price in 3.Iterate faster than competitors can adapt Retail traders trying to out-click the market are competing in the wrong game. Design the system, or be replaced by one #agentic

Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on kimi.com in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…

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It’s happening.

AI agents aren’t just vulnerable to bad models anymore — the internet itself is becoming the attack surface. New paper from Google DeepMind (chatgpt://generic-entity?number=0) introduces “AI Agent Traps”: 6 ways attackers can hijack agents 👇 • Hidden instructions in websites (invisible to humans) • Biased framing that corrupts reasoning • Memory poisoning that persists across sessions • Jailbreaks that force actions (incl. data leaks) • Multi-agent manipulation → systemic failures • Even attacks targeting the human overseer Key idea: You don’t hack the model — you hack the environment it reads. This flips AI security completely: → The web becomes adversarial → Agents can be manipulated at scale → Entire “agent economies” could be gamed We’re heading into a world where: what AI sees matters more than what it is papers.ssrn.com/sol3/papers.cf…

BREAKING: Amazon announces they will invest up to $25,000,000,000.00 in Anthropic.

Google, $GOOGL, to reportedly announce new generation of custom chips at Google Cloud event next week, per Bloomberg.

Not a good look.

⠉⠗⠽⠏⠞⠕ 01101001 01110011 -... . - - . .-. 🤝 Binance

$RAVE cost $75k to create 10,500 fake wallets holding under $10 each. that passed holder count requirements on binance, bitget, and coinbase. got listed, hit $27b FDV, insiders dumped. 335,000% ROI on a sybil attack against exchange listing standards. the fix is trivial. require minimum holding thresholds per wallet, cap top 10 concentration at 30%, monitor distribution post-listing. exchanges know this. they list anyway because listing fees print. the next RAVE is already in the queue and the gates are still wide open.

@YankeeBackup @pete_rizzo_ This is a lie. They still use spread and even their newer system has plainly written tiered fee percentages.

@pete_rizzo_ Robinhood charges a 0% fee on crypto buys. Robinhood is King 👑

JUST IN: $7 TRILLION SCHWAB CEO JUST REVEALED IT WILL CHARGE JUST 0.75% ON #BITCOIN AND CRYPTO BUYING CHEAPER THAN GEMINI AND COINBASE FOR INSTANT PURCHASES WALL STREET IS COMING – BIG TIME 🚀