Nathaniel Whittemore considers how the cost of agentic workloadsAI inference economics examines the revenue, cost, utilization, pricing, and margins involved in serving trained models., access to computing capacityAI compute infrastructure is the hardware, facilities, networks, power, cooling, storage, and software used to train and run AI models. and policy uncertainty affect competition among AI companies.
The discussion surveys reported business developments and considers the role of coding tools, models and customer relationships in company strategy. Whittemore distinguishes company claims and future predictions from established results.
The opening segment discusses reported government negotiations over AI model access and cybersecurityGovernance sets responsibilities, rules and oversight for decisions about how AI systems are used.. The account reflects the information and commentary available to the presenter at the time.
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