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A source-code-level review of Anthropic's Claude Code — 1,902 files, 513K lines of TypeScript. We trace the query loop, catalog all 43 tools, dissect the 3-layer permission model, map the subagent ...
Alex LaPlante is VP of Cash Management Technology at RBC, former Interim Head of Borealis AI, co-author in Harvard Business Review, and a member of Canada's federal AI Strategy Task Force. In this ...
Alex LaPlante is VP of Cash Management Technology at RBC, former Interim Head of Borealis AI, co-author in Harvard Business Review, and a member of Canada's federal AI Strategy Task Force. In this ...
Seven Minutes to Midnight: AGI Is Coming What is AGI? When is it arriving? And what does it mean for your career, your organization, and humanity?In this episode of Ship AI, Manav Gupta delivers on...
The episode explores the rise of AI agents, their evolution from chatbots, and the challenges and opportunities in deploying and scaling AI agents. It delves into the characteristics of AI agents, ...
Mihai Criveti, Distinguished Engineer at IBM and creator of Context Forge, on why AI agents need agentic middleware, MCP's enterprise gaps, and what production-grade agent architecture actually loo...
The conversation with Ozge Yeloglu covers her journey to becoming the VP of Advanced Analytics and AI at CIBC, her approach to deploying AI at scale, and the framework she built for success. It als...
Physical AI, autonomous systems, and where the technology is heading.
Lawrence Wan, Chief Architect and Innovation Officer at BMO, shares insights on technology transformation, AI adoption, and the future of agentic systems in banking.
Vinh Tran, VP of Data and AI Platforms at RBC, shares how one of the world's largest banks is approaching AI at enterprise scale.
The conversation explores the impact of AI adoption on the labor market, job tasks, disruption, and fluency.
Sanctions didn't kill Chinese AI — they mutated it into something more formidable: a leaner, inference-optimized, vertically-integrated competitor.
In 2014, the largest tech companies spent $44 billion on capital investments. By 2024, that number passed $200 billion — almost all of it tied to AI.
The conversation delves into the exponential growth of AI models, the impact of compute abundance, global adoption of AI, and the comparison of AI performance with human capability.
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