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@CryptoApprenti1 @TheRyanFeldman Curious what kind of staking/incentive arrangement might be involved. Ryan being staked or getting a kickback while playing in the same game as a backer,I’ve seen it before in the LATB days. member the Armenian Mike “joke bet” hand?Ryan was reportedly staked by some1 in the game2

"I want to hold your hand, trading simple harmony with the breeze..." 🍃🎸 Unwinding with Jay Chou’s timeless acoustic masterpiece—"Simple Love" (简单爱). In a noisy, hyper-automated market, pure human authenticity is the rarest asset. Trade the systemic noise for acoustic clarity. Happy Tuesday fam! ☕️🌿 我想大声宣布对你的依恋，带你骑单车，看日落，看经典的黑白片。 在这个热闹也焦虑的周二大盘里，工具在红海里卷虚假繁荣，而顶层的巨鲸早已在极致的原创旋律里种桃种李种春风。 关掉复杂的内耗公式，用木吉他的洒脱节奏给灵魂充饱蓄能的元气。 回关锁紧新进场的53位大蓝标战友，咱们顶峰见！🤝🔥 #AcousticCover# #JayChou# #长期主义# #能量管理#

He once shaved his head with Wemby… Now can Keldon Johnson convince a @spurs teammate to grow a handlebar mustache with him? 🤔 Hint: He may be the lone ranger on that front 😂🤠

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We recently had a user whose account was compromised. Our customer service team identified the situation quickly and froze the account. We then worked with the user to restore their original email and authenticator, helping secure the account and prevent further risk. Unfortunately, an API key that remained on the account allowed the attacker to transfer the funds before the issue could be fully contained. We are still investigating exactly what happened. But one thing is clear to us: we do not believe the user should have to bear the consequences of this incident. We immediately put together a dedicated team to handle the case, and we have fully compensated the user. We have always believed that being user-first means more than just saying it. When our users need us to step up, we will. Thank you to everyone for your trust, and especially to the user involved for giving our team the time today to work through this properly. We’ll keep learning, keep improving, and keep moving forward.

Right in the middle of the Conan set, a woman is inverted in a full handstand, Her form is tight and controlled, arms locked, body perfectly vertical against the dark stage. Conan sits a few feet away at his desk, suit jacket on, ocean-night backdrop glowing behind him.

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)

SpaceX engineers got their first hands-on look at a Starship after its return from space. What they learned led to improvements in Starship’s heatshield we’ll see fly today. Watch the latest episode in the ongoing Starship series →