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🚀 $TART HOLDERS, THIS COULD BE AN OPPORTUNITY! 🍒 The market is bleeding, but builders are still building. Sometimes, the biggest opportunities appear when the market is at its weakest. While others are panicking, keep your eyes on what @notralbnb is cooking behind the scenes. $TART is more than just a token; there's an ecosystem being built, with staking, farming and long-term plans in motion. If you've done your research and believe in the vision, this dip might be an opportunity to strengthen your bag. Stay focused. Think long-term. Don't let market fear make your decisions. Something is cooking, and Notralbnb might just have more surprises for the $TART community. WE ARE EARLY! $TART 🍒

My first merge ever 👉🏼👈🏼 A year ago I didn’t even know what "PR" meant. Today something I built is part of the Hermes ecosystem, and it’s the first code I’ve ever submitted anywhere. As an engineering dropout, it blows my mind. It might not mean much to the average dev, but for a meat proxy like me, it’s a huge deal. Thank you @Teknium, @witcheer and the @NousResearch team for the Hackathon and for the incredible community you’ve built around your mission. Fuck tyrants. Open source will win 🪽

GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#

Over the past few months, we have restructured MEGA to move in a new direction. We’ve brought together new capabilities and reorganized our teams, a process that has resulted in a 20% reduction in our staff. These are people who helped build MEGA from its earliest days ( building out the chain / wallet, supporting our ecosystem, and telling our wild stories). To everyone who is leaving: I appreciate you. Your work is foundational in what we’re doing next. If you are hiring, please reach out. These are some of the best people we have worked with, and we will gladly make introductions. Our founders, early employees and core engineering team remain committed to MEGA and to the work we started three years ago with MegaETH. We believe cryptography and distributed systems will change how the world produces and accesses purified intelligence. We have a lot to prove, and a lot of work ahead.

Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.

pour ceux qui ne réalisent pas le séisme historique que représente la fin de l’ère Jensen Huang à la tête de Nvidia, il faut regarder le chemin parcouru depuis 30 ans pour comprendre qu’on assiste au départ d’un monument absolu de l’histoire industrielle: > il a commencé tout en bas comme plongeur et serveur de nuit dans un restaurant dennys à nettoyer des assiettes pour payer ses études d’ingénieur >en 1993,il fonde Nvidia depuis des discussions dans ce même restaurant avec deux associés, un capital minuscule et la conviction folle que le calcul graphique va transformer l’informatique >au culot il écrit une lettre directe à Morris chang, le fondateur légendaire de TSMC pour le convaincre de fabriquer ses premières puces alors que personne ne pariait un centime sur sa boîte >il a frôlé la faillite totale à plusieurs reprises dans les années 90 sauvant l’entreprise à 30 jours de la cessation de paiement grâce à un pari désespéré > en 2006,il investit des milliards dans cuda alors que wall street détestait l’´idée et massacrait le titre en bourse, ce qui lui a permis de créer l’infrastructure logicielle qui rendra l’IA moderne possible 15 ans plus tard >il a propulsé Nvidia au sommet absolu de la finance mondiale avec une capitalisation boursière dépassant les 3000 milliards de dollars > il a accumulé une fortune personnelle dépassant les 150milliards de dollars (tout en restant fidèle à son fameux blouson en cuir) et à une culture hardware très profonde >il a réalisé le plus grand miracle de partage de la valeur de l’histoire de la tech car pour info plus de 75%des salariés de Nvidia sont devenus millionnaires et des milliers d’entre eux sont même multimillionnaires >il a même permis à des cadres historiques comme de Nvidia entrés tôt de devenir carrément MILLIARDAIRES en restant simples salariés, je ne sais pas si vous vous rendez compte de la perf de fou furieux de réussira transformer des tonnes d’employés en milliardaires, c’est un un exploit qui est juste UNIQUE AU MONDE >il a transformé une simple boîte de cartes graphiques pour jeux vidéo en pilier vital de la souveraineté technologique et militaire américaine sans laquelle vous ne pourriez utiliser quasiment aucun modèle d’ia aujourd’hui, c’est indirectement grâce à lui que certains se construisent toute une économie numérique en étant indépendants ou peuvent remplir leurs missions professionnelles en étant salariés >il possède aujourd’hui une influence géostratégique supérieure à celle de la quasi-totalité des chefs d’état de la planète puisque le destin de l’IA mondiale passe JUSTEMENT par ses usines >il s’asseyait il y a encore quelques semaines à la table même de donald Trump, xi Jinping et Elon Musk pour négocier l’équilibre technologique entre les grandes puissances >il a mené une bataille acharnée pour démocratiser les open weights en refusant de voir l’intelligence artificielle verrouillée par une poignée de labos fermés comme anthropic ou OpenAI afin que chaque entreprise et chaque nation puisse entraîner sa propre intelligence sur ses puces c’est précisément cette dernière stratégie radicale d’ouverture et de diffusion libre de la puissance de calcul qui a fini par lui coûter sa place en armant l’écosystème open source et en permettant au reste du monde de rattraper les géants propriétaires américains, il s’est heurté de front aux intérêts sécuritaires de Washington et aux monopoles fermés qui voulaient garder le contrôle exclusif de l’IA les amis sachez que Jensen Huang tombe aujourd’hui pour avoir voulu rendre la technologie accessible à tous en laissant derrière lui la preuve vivante qu’un immigré parti de 0 avec une vision à TRÈS LONG TERME de 30 ans peut construire des choses GRANDIOSES

Rewards are now fully fixed and operational! We've also re-injected 100% of creator fees back into the vault, reinforcing the ecosystem and ensuring rewards continue flowing to holders. Everything is back on track. $FLOW

20 free dune dashboards memecoin traders actually use what's inside: > paid 15 callers $5,054,233. since oct 12 the wallets that bought their calls are down $899,112 > $1,000 in the median call is $515 an hour later and $263 a day later > 45.4% of called coins peak within 5 minutes. 40.9% were called after their top callers 1.) → what paid each caller vs what their followers made 2.) → median price 1 minute to 1 day after a call, by caller 3.) → how many minutes a called coin has before it peaks 4.) → daily revenue since jan 2024, launchpad vs pumpswap 5.) → PUMP buybacks and fees, 58 charts 6.) → $535,052,472 since sep 2025. 86.6% of last month's came from coins launched the same day 7.) → minutes until the dev's first sell, month by month 8.) → wallets ranked by coins launched and how many graduated find wallets 9.) → profitable wallets across 31 trading bots 10.) → the last 24h top runners and the wallets that bought them early 11.) → profitable wallets on coins created in the last month 12.) → filter wallets by win rate, SOL earned and median hold time 13.) → filter by median ROI, win rate and scalp ratio the market 14.) → the solana ecosystem in 58 charts 15.) → memecoin volume by chain. solana does 51.9% of it 16.) → which trading app does the volume on each chain 17.) → DEX volume by chain and by DEX. 11,975 stars perps, predictions, airdrops 18.) → hyperliquid fees and revenue, 61 charts 19.) → polymarket vs kalshi: volume, users, fees 20.) → every big airdrop and who claimed it, 489 charts dead or broken. stop bookmarking these: > adam_tehc/memecoin-wars (1,935 stars), axiom, gmgn, fomo, the-robinhood-trenches → last day of data sep 22 > whale_hunter/dex-trading-bot-wars (2,107 stars) → 24 of 37 charts failed > uwusanauwu/perps → 15 of 21 charts failed how to check any dune dashboard in 5 seconds: > the line under the title says "updated 2d ago" and how many charts failed > a yellow "last day of data" line on top = dead > look at the last date on the first chart bookmark this

📢 API Integration Experience Upgrade To support developers in building seamless automated ecosystems, has upgraded the API management page! Developers can now enjoy a faster model selection process and streamlined API integration, quickly securing the best compute resources for smooth system operations: 🔸 Quick Navigation: Anchor links added for one-click access to key sections 🔸 Smart Filtering: Filter models easily by brand tags and discount tiers 🔸 Transparent Details: Clear model specs, pricing, and integrated model rankings 🖥️ Visit to explore the new API experience.