Revenue Sharing
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X @aixbt
aixbt· 2025-09-12 10:07
hip-3 lets anyone stake 1m hype and deploy perpetual markets for 50% fee share forever. native markets won usdh because they built for this exact architecture. forget the stablecoin drama, builders who stake now own half the revenue from every trade on their markets for life. 282 slots available, dutch auction every 32 hours, that's your california gold rush. ...
X @IcoBeast.eth🦇🔊
IcoBeast.eth🦇🔊· 2025-07-31 14:09
Revenue Sharing - The document mentions a potential revenue sharing agreement [1] - It suggests using the author's referral link for revenue sharing purposes [1] Content Type - The content appears to be a social media post (tweet) with a link [1]
As colleges begin paying student athletes, former NCAA players seek back pay
NBC News· 2025-07-01 23:15
Legal Challenge & Settlement Overview - Lawsuits challenge NCAA settlement's revenue distribution, alleging unfair representation of female athletes' value [1][2] - Settlement includes ~$8 billion in back pay for ~400,000 former athletes and revenue sharing for current athletes [2] - Revenue sharing estimated at $20 million annually, allowing athletes to earn from name, image, and likeness [2] Title IX Violation Allegations - Lawsuits claim settlement violates Title IX, federal law barring sex-based discrimination on college campuses [4] - Female athletes allegedly required to waive Title IX rights to receive back pay [4] - Disparity in revenue allocation between men's and women's sports is a key point of contention [3] Revenue Distribution Discrepancies - Men's football and basketball receive over 90% of revenue allocated to men's sports [3] - Top women's sport, basketball, receives only 1.1% of revenue [3] - Payouts for former athletes expected to mirror these disproportionate amounts [4] Athlete Perspectives - Plaintiffs argue male and female athletes invest equal effort, despite differing fan attendance [5] - Athletes advocate for equitable treatment and a larger share of revenue [7][8] - NCAA claims settlement provides significant financial benefits to student-athletes, totaling nearly 50% of athletics department revenue [6]
Former players seek settlement for back pay as colleges start to pay student athletes
NBC News· 2025-07-01 01:00
Legal Challenge & Settlement Overview - A lawsuit challenges the NCAA settlement, which allows direct payments to athletes for NIL (Name, Image, Likeness) use, estimating $20 million in revenue sharing annually [2] - The settlement includes $2.8 billion in back pay for approximately 400,000 former athletes, which is a point of contention in the lawsuit [3] - The judge overseeing the case acknowledged Title IX related arguments but allowed the settlement to proceed as an antitrust case, leaving the door open for future Title IX challenges [11][12] Title IX & Gender Equality Concerns - Plaintiffs argue the revenue distribution underestimates the value female athletes bring to universities and violates Title IX, the federal law barring sex-based discrimination on college campuses [2][4] - Women's basketball, the top-listed women's sport, receives 1.1% of the revenue pie, significantly less than men's football and basketball, which receive over 90% combined [4] - One plaintiff was estimated to receive around $400 in back pay, highlighting the disparity [5] - Female athletes feel they are settling for "scraps" and deserve more, seeking a bigger seat at the table [7] Proposed Funding Formula - Plaintiffs propose a specific formula for broadcast compensation and athlete service compensation, allocating funds based on the ratio of men to women in the athlete pool each year [9][10] - For example, if men comprise 60% of the athlete pool, they would receive 60% of the designated funding, with women receiving the remaining 40% [10] NCAA's Perspective - The NCAA considers the settlement a "massive win" for student-athletes, enabling schools to provide direct financial benefits totaling nearly 50% of athletics department revenue [6]
Perplexity CEO谈新型AI搜索商业化进展:自研浏览器、规模化分销和内容收入分成
3 6 Ke· 2025-06-12 06:15
Core Viewpoint - Perplexity is positioning itself as a competitive player in the AI search engine market, focusing on accuracy and user experience, while seeking significant partnerships with hardware manufacturers to enhance its product deployment and monetization strategies [1][2][8]. Company Overview - Perplexity is an AI search engine startup currently negotiating a $500 million funding round, with a valuation nearing $14 billion [1]. - The company has launched a browser called Comet, which integrates AI capabilities, and has seen significant growth in search queries, reaching approximately 780 million in May, with a month-over-month increase of 20% [1][7]. Product Development - The Comet browser is designed to provide a seamless user experience by combining search and actionable tasks in one interface, aiming to function as a cognitive operating system rather than just another browser [6][5]. - Perplexity's AI assistant is being pre-installed on Motorola and potentially Samsung devices, which is expected to accelerate model training and monetization [1][8][9]. Competitive Landscape - Perplexity claims to offer the most affordable and accurate API in the AI search engine space, surpassing competitors like Google and OpenAI [2]. - The company differentiates itself by focusing on reliable answers and sourcing information, contrasting with traditional search engines that may prioritize ad revenue over accuracy [11][12]. Market Strategy - The company is exploring revenue-sharing models with content creators and publishers, aiming to provide a sustainable income stream while enhancing brand recognition for those cited in its search results [12]. - Perplexity's partnerships with hardware manufacturers are crucial for expanding its market reach and user retention, as the browser serves as a primary entry point for users [4][10]. Future Outlook - With the potential to influence decision-making across various sectors, Perplexity envisions a future where its market capitalization could reach trillions, driven by its unique approach to AI and search accuracy [8].