🤖 X's Updated Terms of Service - AI Training on User Data
This article discusses the recent update to X's Terms of Service, which allows the platform to utilize user data for AI training purposes. The implications for user privacy and data ownership are examined.
Key Points:
• X can now train its AI models using all user-generated content.
• This includes tweets, photos, and other creative works posted since 2006.
🔗 Resources:
• X's Terms of Service ↗ - Updated terms
🚀 Story Protocol - China's First Advertising RWA
This article details the launch of Story Protocol's first Real-World Asset (RWA) in mainland China, focusing on the tokenization of digital advertising space.
Key Points:
• This represents the first advertising RWA in China.
• It leverages a $1 trillion advertising market.
• Backed by a public company, a state-owned enterprise, and a regulated exchange.
🚀 Implementation:
- Tokenization of high-traffic digital ad space.
- Partnership with Starbase Accelerator and Hangzhou Culture Assets and Equity Exchange.
- On-chain infrastructure provided by Story Protocol.
🔗 Resources:
• Story Protocol Announcement ↗ - Details of the launch
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🚀 Story Protocol's RWA in China - Regulatory Compliance and Mainstream Adoption
This article highlights the key aspects of Story Protocol's first Real-World Asset (RWA) in China, emphasizing its regulatory compliance and potential for mainstream adoption.
Key Points:
• Backed by a public company, state-owned enterprise, and regulated trading venue.
• Compliant with Chinese regulations.
• Represents a significant step towards mainstream adoption of Story's IP rails in China.
🔗 Resources:
• Story Protocol Announcement ↗ - Details on the initiative
🤖 DeFi's Potential as the Universal Backend for Finance
This article discusses the author's perspective on the future of decentralized finance (DeFi), predicting its rise as the universal backend for financial systems within five years.
Key Points:
• Many traditional finance businesses focus on database reconciliation.
• DeFi offers a more efficient and integrated alternative.
• The fragmented nature of legacy systems will seem outdated in the future.
🤖 GPT-5 vs. ASI: A Comparison of AI Models
This article provides a comparison between GPT-5 and the AI models developed by ASI Alliance, highlighting the differences and respective strengths.
Key Points:
• Provides a comparative analysis of GPT-5 and ASI's AI models.
• Explores the capabilities and limitations of each approach.
• Focuses on ASI's decentralized agentic ecosystem.
🔗 Resources:
• ASI Alliance ↗ - Information on ASI's AI models
• Thread Discussion ↗ - Detailed comparison
🤖 DePIN Coalition Submits Amendments to Senate Banking Committee
This article discusses the submission of crucial amendments to the Senate Banking Committee by a major DePIN coalition regarding digital asset market structure.
Key Points:
• Proposal to define DePINs distinctly from securities.
• Focus on token regulations within the DePIN space.
🔗 Resources:
• Thread Discussion ↗ - Details of the amendments
🤖 Bitcoin's Future Price: Supply Shock vs. Demand Erosion
This article presents contrasting viewpoints on Bitcoin's future price, considering factors like supply shock and demand erosion.
Key Points:
• ETF inflows and corporate stacking influence Bitcoin's demand.
• The author presents data to support the analysis.
🔗 Resources:
• Image with supporting data ↗
• Thread Discussion ↗ - Further analysis
🤖 Render Compute Network - US-Based Trial for Decentralized AI Infrastructure
This article discusses the upcoming US-based trial of the Render Compute Network, marking a significant step forward for decentralized AI infrastructure.
Key Points:
• Node operators in the US are currently onboarding.
• The network will support various AI workloads.
🔗 Resources:
• Render Network Announcement ↗ - Details of the trial
🤖 Agentic Frameworks and Verified AI - Building Trustworthy Autonomous Agents
This article announces a Twitter Space discussion focusing on the use of agentic frameworks and verified AI in building trustworthy autonomous agents and games.
Key Points:
• Discussion on leveraging verified AI for building trustworthy agents.
• Focus on the application within game development.
🔗 Resources:
• Twitter Space Announcement ↗ - Details of the event
🤖 Training-as-a-Service - Simplifying AI Model Training
This article describes a Training-as-a-Service solution aimed at simplifying the process of training AI models, addressing the complexities and high costs associated with traditional methods.
Key Points:
• Offers self-serve training on open models.
• Utilizes advanced reinforcement learning techniques.
🔗 Resources:
• Training-as-a-Service Platform ↗ - Access to the service
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