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]

Talking about Luma AI, our mission, and how our ML infrastructure enables SOTA multimodal model development About Keegan McCallum I'm Keegan McCallum, the Head of ML infrastructure at Luma AI. I began my career in research focusing on portfolio optimization. Since then I've founded two startups, lead engineering at two others and have landed at Luma AI working on an unconventional multimodal path to AGI among a cracked team of researchers and engineers. When I'm not working, I'm usually out in the woods hik ...

we achieved gold medal level performance on the 2025 IMO competition with a general-purpose reasoning system! to emphasize, this is an LLM doing math and not a specific formal math system; it is part of our main push towards general intelligence.when we first started openai, this was a dream but not one that felt very realistic to us; it is a significant marker of how far AI has come over the past decade.we are releasing GPT-5 soon but want to set accurate expectations: this is an experimental model that in ...

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]