This feels so primed for enterprise adoption. Brad When I think of writing, when I think of coding, what is the opportunity that. Yeah, well, good morning.Thanks for having me. GP five is a significant step forward in a few different domains. So you mentioned coding, you mentioned writing in health for consumers and medical professionals, and we think that opportunity unlocks an amazing set of things in the enterprise that now become possible.It's a much more reliable model. So it's better at things like ca ...

AI Capabilities and Limitations - The industry believes Artificial General Intelligence (AGI) is not achievable in the foreseeable future [1] - AI excels in known spaces, utilizing concepts and data for tasks like discovering Newton's laws of motion or inventing the steam locomotive [9][7] - AI struggles with tasks requiring insight and intuition, such as Archimedes' principle, special relativity, or creating art like Leonardo's Mona Lisa [8] Human Intelligence - Human intelligence uniquely enables problem-solving through insight-based learning and intuition, distinct from logic-based approaches [11][14] - Insight allows humans to traverse unknown spaces, while intuition accelerates both logical and insightful processes [21] - Human beings can create value in the unknown space, which machines cannot [22] Future Implications - The industry suggests focusing on human strengths rather than competing with machines, leveraging AI to enhance value in known areas [24] - Human General Intelligence is considered significantly broader than Artificial Intelligence, even with advancements in quantum computing [23]

Company Overview - Luma AI 的使命是发展先进的多模态模型 [1] - Luma AI 拥有一支由研究人员和工程师组成的团队，致力于实现非传统的多模态 AGI 路径 [1] Leadership & Expertise - Keegan McCallum 是 Luma AI 的 ML 基础设施负责人，拥有在多家创业公司和工程领导岗位的经验 [1] - Keegan McCallum 的背景包括投资组合优化研究 [1] Event & Community Engagement - Keegan McCallum 在旧金山举行的 AI Engineer World's Fair 上分享了见解 [1] - Luma AI 通过时事通讯与社区保持联系 [1]

AI Advancement - OpenAI's general-purpose reasoning system achieved gold medal level performance on the 2025 International Math Olympiad (IMO), demonstrating significant progress in AI [1] - The achievement highlights the advancements in AI over the past decade, turning a once unrealistic dream into reality [1] - OpenAI is preparing to release GPT-5, an experimental model incorporating new research techniques for future models [2] Future Expectations - While GPT-5 is anticipated to be well-received, OpenAI does not plan to release a model with IMO gold level capability in the immediate future (many months) [2] - OpenAI's experimental reasoning LLM has achieved gold medal-level performance on the International Math Olympiad (IMO) [2]

Agentic Economy & MCP Standard - The agentic economy is emerging, where AI agents can interact, find counterparts, and purchase services from other agents, businesses, or tools [4] - MCP (Message Communication Protocol) is becoming a standard for agentic interaction, dominating the space compared to Open API and Google's A2A [8][9] - Tool discovery, a key feature of MCP, allows agents to dynamically discover and use tools based on the workflow, differentiating it from Open API [7][8] - A centralized marketplace of MCP services, like APIFY, can provide access to various services with a single API token, enabling rapid scaling of the ecosystem [12] APIFY's Role & Marketplace - APIFY is a marketplace of 5,000 tools (actors), primarily data extraction tools, with a community of creators who monetize their tools [4] - Actors are self-contained software units with defined input and output, facilitating easy integration with other systems [4][5] - APIFY has integrations with workflow automation tools and MCP, enabling AI agents to call actors from the marketplace [6][7] - APIFY enables publishing and monetization of tools or agents, providing access to a broad ecosystem of developers and visibility [23][24] Challenges & Future - Agents currently rely on human developers for access to tools and services, hindering their ability to autonomously find and purchase services [10][11] - Trust between agents and tools is a key open question, as is the overall value and reliability of autonomous tool discovery [25][26][27] - The company paid out over $4 million to creators last month, with actors generating over $500,000 per month, indicating rapid ecosystem growth [23]

Model Development & Architecture - Gemini Thinking is presented as a solution to address limitations in test-time compute, marking progress towards general intelligence [1] - The industry focuses on identifying fundamental intelligence bottlenecks within existing models and developing solutions to improve architecture or training objectives [1] Capabilities & Steerability - Recent progress in Thinking is highlighted, emphasizing both capability and steerability improvements [1] Future Directions - The document outlines the future direction of the models, indicating ongoing development and evolution [1]