CryptoX (@cryptox_mmm) header
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First $HODL to EARN memecoin @hodliss I’m a degen investor #crypto #web3 #tech projects $VISTA

Earth
Joined September 2012
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$5K TO $670K ON ETHERVISTA IN JUST 48 HOURS A trader 0x430 bought the launch of @ethervista,spending $5K to secure just over 5% of the supply. He distributed his VISTA holdings across 7 different wallets to sell them off, and after 2 days realized over $670K of profit into #ETH. That’s over 130x fully realized. Crazy! $vista
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🚨BREAKING: Claude can now see what’s going viral. Every morning, Volume scans 10,000+ posts across 19 niches and tells your agent exactly what content your business should make to go viral and market your product. This is insane.
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Clipping is here 🎬 Grab your favorite moment from any video, add your take, and post it without leaving X. Creators: every clip credits your original video and links back to it, so new viewers can find your work and keep watching. Clippers: you now have an easy, native way to share moments from your favorite creators directly on X. The best part? Both the original creator and the clipper can earn from views on the clip through Original Content Rewards. Everyone wins when great moments travel. Clipping is one more step toward making X the best place to create, grow and earn.
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What am I doing with my life…..
jeff from hyperliquid is 31, his protocol made $713m in a year, and he still won't say what he's worth > harvard math and cs, quit HRT in under a year > zero vc money. his line: if satoshi had raised a series a, bitcoin wouldn't be bitcoin > core contributors hold ~$18.5b of HYPE. he owns no car and no house > says staying anonymous would've been fine. went public only because someone had to push the project my favorite detail: suit and tie for dc, hoodie when he codes. and his team asked bloomberg to keep presidents' portraits out of the photo background he calls hyperliquid "a layer where exchanges get deployed". @entropyIO is one of them. $7.5m of open interest in august, $164m now name another founder sitting on that much who still just works all day
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Không ngờ chỉ với Claude Code, Codex và Seedance, anh em có thể xây dựng cả một studio sản xuất video AI, từ ý tưởng đến thành phẩm mà gần như không cần dựng thủ công. Mình vừa đọc hết bài chia sẻ của @EianLu, thực sự rất đáng để anh em làm video AI tham khảo. Điểm hay là tác giả dùng Claude Code làm tổng đạo diễn, điều phối toàn bộ quy trình và tự tạo thêm 3 sub-agent để phối hợp: - Claude Code (Agent chính): Viết kịch bản, thiết kế storyboard, góc máy, chuyển động, prompt và điều phối toàn bộ công việc. - Reviewer Agent: Kiểm tra từng công đoạn, từ logic kịch bản đến hình ảnh, prompt. Chưa đạt thì không cho render. - Supervisor Agent: Theo dõi toàn bộ yêu cầu ban đầu, đảm bảo Agent chính không quên hoặc làm sai ý người dùng. - Proxy Agent: Thay người dùng đưa ra một số quyết định dựa trên sở thích và ngân sách đã được cho phép. Chưa hết, Claude Code còn gọi Codex để tạo hình nhân vật, bối cảnh, khung hình đầu và cuối cho từng cảnh. Sau đó gửi sang Seedance để biến thành video. Khi có đủ các cảnh, Claude tiếp tục dùng FFmpeg và Python để tự động ghép video, chuyển cảnh, chỉnh màu, đồng bộ nhạc và upscale lên 1080p. Điều mình đánh giá cao nhất là tác giả chia sẻ cả quy trình 8 bước cùng bộ prompt chi tiết, đặc biệt là cách để Agent tự kiểm tra lỗi trước khi gửi yêu cầu tạo video, hạn chế phải render lại gây tốn tiền. Tức là thay vì ngồi viết prompt, tạo video, thấy lỗi rồi lại đốt tiền làm lại, anh em có thể để cả một nhóm AI Agent phối hợp sản xuất và kiểm duyệt từng công đoạn. Ai đang muốn tự động hóa quy trình làm video AI từ A-Z thì bài này thực sự đáng lưu lại! #AIAgents
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how to find your unfair advantage
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The RL era of robotics is here, and simulation is how to scale it. An early look at our research on a achieving a better scaling paradigm for robot learning with simulation 👇
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Today, we're shipping real-time graphics. Using Sol 6.1 Ultrafast we can generate custom overlays, diagrams, and even interactive 3D scenes right on a user's screen, no chat. It's a new visual interface for AI. Here's me learning about LLMs + hardware. Demo:
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Holy sh**.... this account is pure gold 🔥 8.5M views with 1 single video its literally just 3D explainer of how a household object actually works Fully edited with AI using higgsfield content factory then the caption says comment a word and they DM you a paid guide swap the guide for ur app cooking app → how a pressure cooker works, comment COOK skincare app → how sunscreen works, comment SPF this format is a free customer machine
🤝 Paid partnership
Introducing Higgsfield Content Factory. Turn any idea into a viral reel, from “What if” explainers to animated hooks for your ads. Available now on Higgsfield.
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Do you think we’re living in a simulation? This Stanford PhD raised over $300M, now valued at $2B, backed by Fei-Fei Li (@drfeifei), Andrej @karpathy, Greenoaks, & @IndexVentures, to build AI simulations of real people. Their Stanford research achieved 85%+ accuracy predicting human behavior. I sat down with Simile Co-Founder & CEO Joon Sung Park (@joon_s_pk) to get into it all. Simile (@simile_ai) builds real-world simulations with access to 40M+ real people across its global panel partnerships for companies liek Deloitte, Wealthfront, CVS & more to test major decisions. Joon completed his Stanford PhD advised by Michael Bernstein & Percy Liang, now his co-founders, & is the first author of the 'Generative Agents' paper. That paper introduced Smallville, a simulated town where 25 LLM-powered agents lived, worked, & socialized on their own. Recorded at Index Ventures in San Francisco, we talked about Elon Musk’s simulation theory & whether human behavior can actually be predicted.. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Joon Sung Park, Co-Founder & CEO at Simile (00:44) Do we live in a simulation? (04:01) The AI town that planned its own Valentine’s party (06:46) Predicting human behavior with 85% accuracy (11:09) Is human behavior predictable? (13:40) What really drives human decisions? (15:45) How Simile simulates customers & markets (20:05) Why big companies want simulated customers (21:31) Digital twins & a panel of 40M real people (22:51) Who actually answers polls???? (24:22) How Simile keeps bad data out (29:29) What Simile predicted about this episode (33:34) The EV campaign that looked perfect until it wasn’t (37:02) Simulating climate change, AGI & UBI (39:06) What happens when you simulate your interviewer (40:13) Raising $300M at a $2B valuation (44:54) Simulation is in its GPT-4 era (49:43) What the most successful people have in common (53:58) The “now what?” moment that ends careers (55:25) The $15B question
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A hill I'm willing to die on: the fastest way to get the life you want is to help those who have it.
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ElevenLabs founders must be SHAKING right now... these guys just dropped a voice AI you can direct like a real actor no more typing weird little codes into your script... you just write "say it like you've given up on life" and it does exactly that here's why that's a big deal: - one word comes out wrong and you change only that word, the rest of the take stays the same - it switches voices in the middle of a sentence - it voices a whole scene with several characters from one script - it clones your voice and keeps it in character in other languages and to prove it, they cloned Uncle Roger's voice and had it roast his own fried rice the whole way through lmao
🤝 Paid partnership
$52M seed round. 15M+ users. But this is what we're most proud of yet. Introducing Drama 3: the most emotive and controllable TTS model in the world And yes, it's open-weight. You can now control how even a single word should sound, change its tone, and shift your voice mid-sentence. Uncle Roger was impressed too. Try it here: s.fish.audio/rqh0l8 Comment “DRAMA” within the next 48 hours for 1 month free. If you're an enterprise your first month is on us: s.fish.audio/qz9r0t
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A masterclass on how to run a COMPANY by yourself with just one weekend of setup:
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Liftoff of Starship's first orbital flight
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"When liability exposure approaches 0—when no one pays the price for unverified failures—verification budgets collapse...Deployers flood the Runaway Risk Zone with unmonitored agents, capturing the gains of automation while socializing catastrophic risks."
1/ When we looked at the economics of AGI, the key policy challenge was immediately clear: AI drastically lowers the cost of execution for anything easy to verify. For everything else, verification is the bottleneck.
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One of the best recent podcasts on AI. Neil has a gift for explaining all of the jargon and insights simply. (I’m not involved, just found it unusually educational).
Neil Movva (@neilmovva) started his career at Nvidia, working on GPUs and kernels, and has an unusually deep understanding of inference, from software to chips to power. We spend a lot of time on each of those layers, how they connect, and where the important tradeoffs are. What makes this conversation special is how detailed it is (like a 401-level class), yet Neil makes it remarkably clear and easy to follow. Today he runs Sail Research, a company building infrastructure for agents to make tokens as cheap as possible. We discuss: - Latency versus throughput - Why there are no bad chips, only bad pricing - The end of kernel engineering - Buying chips and power no one else wants - New chip architectures - Nvidia lore + his contrarian view of the company - Open source and the frontier labs I learned a ton. Enjoy! TIMESTAMPS 0:00 Intro 0:38 Building a “Token Factory” 4:21 The Future of Background Agents 13:09 Nvidia and the GPU Stack 23:27 Chips, Memory, and Transformers 36:14 The Future of AI Training Data 44:32 Chip Scarcity and Compute Arbitrage 52:44 Reinventing the AI Data Center 59:01 Power and the “Scavenger Strategy” 1:10:10 Open vs. Closed AI
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We just open-sourced our entire marketing playbook. After huge viral success with our Marketing OS running on Grok Bot, we decided to bring it to Claude. Introducing Marketing AGI by Maxfusion. You no longer need your first 5 marketing hires. 📁 Marketing Department ┃ ┣ 📁 Head of Marketing ┃ ┣ 📁 Positioning & Offer Design ┃ ┣ 📁 Pricing Strategy ┃ ┗ 📁 Competitor Teardowns, Public Data Only ┃ ┣ 📁 Copywriter ┃ ┣ 📁 20 Variants, Panel-Scored ┃ ┣ 📁 Email Sequences, Written in Full ┃ ┗ 📁 Posts Built to Survive the Feed ┃ ┣ 📁 Creative Strategist ┃ ┣ 📁 The 18-Tactic Hook Engine ┃ ┣ 📁 Fatigue Caught at the Concept Level ┃ ┗ 📁 Next Tests, Ranked & Briefed ┃ ┣ 📁 Launch Lead ┃ ┣ 📁 The Runway Before Launch Day ┃ ┗ 📁 Product Hunt, Hour by Hour ┃ ┣ 📁 GEO Lead ┃ ┣ 📁 Ranked by ChatGPT & Perplexity ┃ ┗ 📁 App Store, Metadata to Screenshots ┃ ┗ 📁 Analyst   ┣ 📁 Audits, Weighted 0-100   ┣ 📁 Numbers That Mean Something   ┗ 📁 AI Slop, Caught on Sight And they coordinate all the work: A single Claude skill runs the whole loop: The Analyst finds the problems, the Copywriter rewrites it, the Creative Strategist tests the new version, and the Analyst grades the outcome. Comment "AGI" and I'll send you the setup.
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Most social media tools suck. (I've tried them all over 7 years of doing this). They claim to help you go viral. They claim that you'll grow fast on social media. They claim that they'll make it easy on you, so you can just grow your following without having any form of skill or understanding. And now they're trying to go fully agentic, which only works if you know what you're doing (we'll talk about that later, we built the MCP for social media). Plus, when everyone has an advantage, it is no longer an advantage. I promise you, I love AI, but having it write everything for you, especially as a beginner, is a death sentence. You may get lucky and have one, two, or three posts do well. You may gain a lot of followers (because that's what they promise to get you to buy), but then what? Can you replicate it? Does your audience actually care about who you are? Or are you just a one hit wonder like every other creator who tries to get-followers-quick? The creators you love... the ones who put out ideas that actually change your life, understand that the creative process (capturing, resurfacing, and synthesizing ideas) is your competitive edge when everyone is racing to put out as much slop as possible. So we built an actual solution. For the people who know deep down that the toys and gimmicks being marketed to you aren't a long term strategy. It's called Eden. The second brain for creators. It has every scheduling, analytics, auto-dm, and outlier research (for all platforms) features that everyone else has - built by someone who knows what's useful and what's not. But it also has the ideation process built in, which cannot be skipped. Here's what it looks like, and how to write a post people actually care about: 1) Save inspiration from anywhere (and read + highlight) Capturing ideas, posts, links, and highlights inside of an agent or AI chat sounds like hell. Not everything needs to, or should be, jammed into a chat UI. In Eden you can: - Paste any social post link (we transcribe any post) - Integrate with Kindle, Snipd, or Readwise - Pull in X or Substack bookmarks - Jot down quick ideas or write inside docs - Open any YouTube transcript or article in Reader mode and highlight it We auto-categorize and tag everything for you, so our Deep Synthesis agent can find novel connections and relations across your library - making it easy to surface idaes you thought you lost. 2) Research what's working, study top creators Outlier tools are the bread and butter for every creator. When you do research for a YouTube video, you look for high performing titles and thumbnails, and you study what worked for others. But what about every other platform? We have a social corpus of 3m+ posts across all platforms and growing. You can scroll the Discover page for inspiration, search any creator and filter by top posts, or use Deep Social in the AI chat to search across all of them. This is what gives the MCP access to trending topics without scraping millions of posts yourself. 3) Create with everything in one place, build swipe files I don't think I will ever give up writing. I love sitting down in the morning, opening up a page, researching good ideas, and turning it into something worth sharing. In Eden, you work on Boards. You can paste social posts and build shareable swipe files, or you can add your outlines and drafts while having your library, chat, or ideas open right next to it. 4) Chat with anything to get the information you need Claude and ChatGPT are essential, but they are blind. They can't read social links. They can't see what's trending. When you're writing scripts, articles, posts, or drafts - you need to be able to pull information from the sources you research. In today's world, that usually means social posts, YouTube videos, and articles. 5) Draft, schedule, and publish to all platforms X, Instagram, LinkedIn, Substack, Threads, TikTok, and YouTube shorts. And yes, we are one of the first to support article scheduling to X and Substack. You don't have to copy paste to every platform anymore. You simply write, schedule, and let it go out to all platforms. 6) Or do it all from the MCP I don't believe that the future of content is fully agentic. But, that doesn't mean that AI can't help with researching top posts, ideation, and scheduling content. You do the writing and thinking, let AI handle the busy work and resurfacing of ideas you need to find. With Eden, you don't need to give up your Claude, Hermes, or other agentic workflows. You simply connect the MCP and now you can build your own agentic content system, if that's your cup of tea. Eden is the Social Media MCP. You don't have to pay for scrapers anymore. You can finally access trends, any social link, and any account. You can access your analytics, build content dashboards with our infrastructure (that you don't need to maintain as a full time job), and post. We've actually built 4 skills for deep topic research, personal brand strategy, building a content command center, and more - we'll link those below. All in all: If you're a creator, Eden is your base. It's where you write, research, and publish every single day. Try it free below:
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