RT Sei (@SeiNetwork)October on Sei — global expansion, enterprise adoption, and institutional momentum.• Sei became the #4 ecosystem by TVL efficiency — alongside Solana, Hyperliquid, and Ethereum.• Morpho, a $12B+ lending market, brought its universal lending network to Sei.• Sei surpassed $10B in LTM DEX volume.• @YeiFinance TGE’d with the CLO token, marking major ecosystem expansion.• Sei crossed 13 million monthly active addresses.• SIP-3 (EVM-only) wallet upgrades went live — paving the way for Sei Gig ...

October on Sei — global expansion, enterprise adoption, and institutional momentum.• Sei became the #4 ecosystem by TVL efficiency — alongside Solana, Hyperliquid, and Ethereum.• Morpho, a $12B+ lending market, brought its universal lending network to Sei.• Sei surpassed $10B in LTM DEX volume.• @YeiFinance TGE’d with the CLO token, marking major ecosystem expansion.• Sei crossed 13 million monthly active addresses.• SIP-3 (EVM-only) wallet upgrades went live — paving the way for Sei Giga.• $840B asset mana ...

RT Sei Development Foundation (@Sei_FND)Sei, @MetaMask, and PayPal were front and center at MetaMask's Builder Nights.Stablecoins and enterprise adoption ruled the conversation, as @larryhodl shared Sei’s vision for a global settlement layer — where institutions, stable assets, and infrastructure converge.(🦊 /acc) https://t.co/IU1i3OQOvb ...

AI Adoption & Enterprise Integration - Enterprises are eager to integrate AI agents for task automation, expecting significant gains in productivity, revenue, cost reduction, and risk mitigation, though widespread success is still in early stages [2] - Data Bricks' partnership with OpenAI aims to enable customers to leverage OpenAI models on their data within Data Bricks, facilitated by Agent Bricks [3] - AI adoption is gradually increasing, with use cases emerging in areas like product onboarding (Mastercard) and sentiment analysis for product improvement (Adidas) [4][5] - Block Square automates store and restaurant setup via natural language interaction [6] - The industry anticipates it will take several years to see complete transformation across all companies due to AI [6] AI Infrastructure & Investment - There was excessive excitement and investment in AI infrastructure in the past two years [4] - Despite impressive user numbers from companies like OpenAI (700-800 million users), there's still potential for significant growth in LLM usage [8] - Increased AI usage will necessitate more inference capacity, requiring further infrastructure buildout in various regions to minimize latency [8][9][10] - Data Bricks hosts multiple major models (OpenAI, Anthropic, Gemini), providing redundancy for customers [12][13] - More hardware deployment is needed to support the growing demand for AI model inferencing [14] Concerns & Mitigation - Concerns exist regarding the concentration of AI power around entities like OpenAI, potentially creating a single point of failure [11] - Data Bricks mitigates this risk by hosting multiple major AI models, ensuring redundancy for its customers [12][13]

Chainlink Ecosystem - Enterprise adoption leads to revenue generation [1] - Revenue is linked to Chainlink [1] - Chainlink is connected to Chainlink Reserve [1]

Model Capabilities & Enterprise Adoption - GPT-5 represents a significant advancement in coding, writing, and healthcare, unlocking enterprise opportunities due to its improved reliability in tool calling, structured thinking, reasoning, and problem-solving [1][2] - Enterprises can adopt these models for an increasing number of use cases, with coding being a significant area of demand [2] - 92% of Fortune 500 companies were actively using chatbots shortly after the launch of ChatGPT, indicating organic adoption in the enterprise [4] Market Share & Competition - While some analyses suggest a decrease in OpenAI's enterprise market share from 50% to 25%, the company focuses on delivering the best models and products for customers [6][7] Developer Ecosystem & Enterprise Growth - OpenAI's API is actively used by over 4 million developers daily to build new products [8] - Enterprise seats grew from 3 million to 5 million in two months, showing accelerating growth and significant potential impact for both developers and enterprises [9] Infrastructure & Investment - Project Stargate is a $500 billion investment in the United States to build infrastructure for OpenAI and the country, addressing the increasing demand for AI [11] - The company is continuously investing aggressively to meet the growing demand for AI, aiming to make it more cost-approachable for enterprises and consumers [12][13] Microsoft Partnership - OpenAI values its positive relationship with Microsoft, which has been a significant infrastructure partner through Azure since before ChatGPT [17] - The company anticipates Microsoft's continued significant involvement and is actively working on defining the future of their collaboration [17][18] Talent & Mission - OpenAI attracts talent due to its mission-driven approach to building general intelligence beneficial for all of humanity [21][22]