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❤️‍🔥AGF 2024❤️‍🔥 이제야 조금 휴식을 취하고 있어요 그리고 그동안 계속 인사를 못드린 게 걸렸어요 사실 조금 힘들다 느꼈는데 돌아보니, 뒤에서 훨씬 더 고생해주신 분들이 있었네요. ㅠㅠ 진심으로 감사드립니다! 하나의 부스를 위해 기백명의 고생이 있었겠지요? 무대와 부스 기획부터 설치, 장비, 연출, 아나운서/크리에이터분들, 스탭분들, 프로모터분들, SOOP과 젠크리에이티브 - RZCOS, 그리고 라이온하트! 등등 다 헤아릴 수도 없이 많은 분들과 멋진 무대를 함께 할 수 있어 영광이었습니다! 지스타에 이어 힐다라는 캐릭터와 무려 한 달 남짓 함께하니 뭔가 더 애착이 생기네요! 게임 출시되면 찍먹이라도 한 번? >_< 그리고 가장 감사드리는 건 역시 이번 AGF를 방문해주시고, 최선을 다해 즐겨주신 분들이겠죠! 라이온하트 프로젝트C 부스를 방문해주셔서 감사합니다! 여러분들 덕에 정말 많이 힘이 났던 거 같아요!!! 모쪼록 재미있게 즐기셨길 바라며 또 다른 곳에서 뵙겠습니다 ;D❤️ 📸 @zevgraphy 바쁘셨을텐데 모델들 사진까지 찍으시느라 고생 많으셨습니다 🫡🫡 #라이온하트# #RZCOS# #ZENCREATIVE# #AGF2024# #ProjectC# #프로젝트C# #AGF# #힐다#

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 :

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)

Day 275 of tagging @cz_binance, @Leonard_Aster, and @Aster_DEX about $ASTER. As usual, $ASTER is doing it thing. I know some people will say $BTC is dumping and so, $ASTER is dumping along it. My question is, what was $ASTER doing when $BTC, $HYPE and $LIT was pumping? I’m seeing a lot of $ASTER traders/ investors tell me they’re pivoting to other assets. Do I blame them? NO. 1 year is enough for a project to show how serious they are, if they really want to grow. Bottom line is $ASTER has been a bad investment, there’s no sugarcoating it.

Another major arrangement that I expect Quant ($QNT) will announce an official partnership with in the coming months is Project Agora. Agora is multi-currency shared platform for wholesale cross-border payments by France, Japan, Korea, Mexico, Switzerland, the UK, and the US. Also involved are HSBC, Citi, JPMorgan, Santander, Deutsche Bank, the BIS, SWIFT, Visa, and Mastercard.

Day 274 of tagging @cz_binance, @Leonard_Aster, and @Aster_DEX about $ASTER. I don’t know but I think $ASTER was supposed to get better with time? Really, time isn’t even doing it for $ASTER, because at this rate, we will hold $ASTER for 2 more years before we get to break even. There’s absolutely nothing fascinating about $ASTER at the moment. I had conversations with one of $ASTER investors and he made a valid point, he said, @cz_binance has given up on $ASTER, and now believes that $HYPE is a far better product than $ASTER, hence they listed $HYPE on binance. Because make it make sense, why would you list your biggest competitor???? Calling out a project, shows they’re doing something wrong that we want them to change from or stop doing, yet, $ASTER keeps ignoring those complaints, too bad for the community. Again, pls don’t sell for peanuts, let’s stay optimistic till end of the year.

She chatted with US first lady Melania Trump in English without a translator, and sang along quietly when serenaded by a youth choir, looking effortlessly glamorous in a modern take on a traditional Chinese outfit. On Chinese President Xi Jinping's Washington trip, his wife Peng Liyuan is his soft power superweapon, projecting a gentler, more approachable image of China, despite its disputes with the United States over everything from trade to Taiwan

🦔Someone is buying Japanese used books by the ton. Not novels or comics. Philosophy, history, medical law, Edo-period cultural texts. Multiple buyer accounts all ship to one logistics center in Okayama Prefecture that won't answer questions. Export records show over 50 tons, roughly 100,000 volumes, shipped to the US since last year. No buyer has been identified. Separately, court documents confirmed Anthropic's "Project Panama" bought millions of books in the US, cut the spines off, scanned them, and shredded the originals. An internal memo said the goal was to "destructively scan all the books in the world." Similar operations have been reported across Europe. My Take Anthropic's US book operation came out in court filings earlier this year. Project Panama. Millions of books, cut the spines off, scanned, shredded. Their VP chose the codename so nobody outside the company would find out. That story broke and apparently the same operation just moved to Japan. Anonymous buyer accounts, a warehouse in Okayama that won't take questions, and 100,000 volumes of specialized academic texts that nobody buys to resell. I don't know how you build a trillion-dollar industry on material you had to acquire in secret through middlemen because you knew the public would object. Authors spent years on those books and now they're fed through a scanner and thrown away so a chatbot can sound smarter. If the data was free to use, they wouldn't need codenames and anonymous warehouses. The lawsuits over who owns this material have barely begun and I think the copyright exposure across the whole AI industry is enormous. Anthropic's internal memo said the goal was every book in the world, which describes the foundation of the product. Hedgie🤗