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Getting on-chain data shouldn’t be hard—or expensive—for agents. 🤖 xAPI × BlockPI: RPC access to 60 EVM networks, now on xAPI. 🔑 One key. 💸 $3 per million RPC calls. ⚡ Pay As You Go. No subscriptions. Build on-chain 👉
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UPDATE: The database issue has been resolved and SSL is now fully activated. ✅ You can now proceed with your application. We apologize for the inconvenience and appreciate your patience! 💙 🤖 Dear CyberThrone Community, If you haven't secured a mint spot yet, we have good news! 💙 Our Wallet Submission Platform is now available, giving everyone another opportunity to join the CyberThrone mint. 🔹 Complete a few simple tasks 🔹 Submit your wallet 🔹 We review your on-chain activity Submitting a wallet does not guarantee a whitelist spot. We are looking for genuine holders and will check for bot/scripted minting and patterns of quickly flipping free or discounted mints. 🔐 Using a hot + cold wallet? You can submit both, and we will review them together. Our goal is simple: give the remaining spots to those who genuinely want to support and be part of CyberThrone. We support those who support us. 💙 CyberThrone Team
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This is how HOUND smells a market. Market data enters as raw signal. HOUND normalizes it into a feature vector, projects it across 32 synthetic odor channels, activates 971 receptor slots, generates a scent fingerprint, compares it against memory, then decides what deserves attention. Market data → Feature encoding → Synthetic odor → 971 receptors → Scent fingerprint → Memory → HOUND response. The point is not to predict the next candle. It is to give market behavior another sensory representation, so changes, similarities and unfamiliar patterns become easier to notice. Try here :
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Retentive highlights the extraordinary potential of peer-to-peer infrastructure, positioning Perceptron Network as a cornerstone of next-generation artificial intelligence research, decentralized bandwidth sharing, and sovereign data management. @PerceptronNTWK #NodeAndProud#
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🚨 Apple has released an important security update for iOS/iPadOS 26.7.1, addressing CVE-2026-86950, an out-of-bounds write vulnerability that may lead to arbitrary code execution. As we previously reported, this update is highly relevant to the iOS attack activity we have been tracking. Apple confirmed that the vulnerability may have been exploited in highly sophisticated attacks targeting specific individuals on iOS versions before iOS 27. For crypto users, this is especially concerning given the iOS exploitation activity we have observed targeting sensitive wallet data. 🔐 Please: • Update your iPhone, iPad, Mac and other Apple devices to the latest available security updates. • Avoid installing apps from unknown or untrusted sources. • Do not open suspicious links in Safari or in-app browsers. • Treat unexpected files, links and app installation prompts with caution. Stay alert and keep your devices updated. Apple Security Update:
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Some mornings quietly rearrange ambition. 🚀 At an @EYnews x Australian Chamber of Commerce joint event a few weeks ago, my NewChic Capital Family Office partners and I weighed in on a conversation about space as private capital's next frontier. We backed SpaceX early, years ago. And the question that stays with me: how do we keep pursuing moonshots while staying practical? Panelists Mahesh Harilela, Space HK co-founder, whose family created The Hari, and Dr Adam Janikowski brought real estate, manufacturing and data centre conversations alongside legacy and vision. With my NewChic Partners, I found possibility. ✨ Which dream earns your conviction? Christy So · Laurence Thoo #SpaceEconomy# #FutureInfrastructure# #FamilyOffice# #HongKongInvesting# #PrivateMarkets#
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You NEED to set this up. The best AI models + the best trading tool!! Connect TradingView to Claude, GPT, Codex, or any LLM in 30 seconds 😘😘😘 TradingView just released its official MCP, so go ahead and delete those old community MCPs. They're not as secure as the official one, and not as easy to use either! It can read charts, data and indicators directly, manage your watchlists, build screeners, set and manage alerts, and analyze any company's fundamentals. Pretty much everything you do in TradingView can now be done with AI's help. Seriously powerful. I made an illustrated guide to the whole setup. Give it a try, it works great.
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Crypto space really has a choice - grow the f up or get sidelined with random regulations. Saying we can not do anything when we are programming decentralized system is just untrue. Banks run AI for fraud detection but are inherently centralized and require KYC. At the same time KYC doesn't solve any of real problems as we know. We have better data and talent to create systems that don't require KYC and actually deter criminals while giving full freedom to real users. By working together we can totally weed out crypto of criminal activity. Criminal TAM is way smaller than all of economy moving onchain we are targeting. Decentralization != disorganization
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Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)
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Saya sangat gembira kerana berpeluang menghadiri Anime Fest di Malaysia! Terima kasih banyak kerana menjemput saya, dan saya berharap dapat berjumpa dengan anda semua lagi pada masa akan datang! I’m very happy to have the opportunity to attend Anime Fest in Malaysia! Thank you so much for having me, and I hope to see you all again in the future! #鳴潮# #共鳴者_シン#
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