
"OpenAI, a maker of frontier models, has announced a platform called Frontier to help enterprises implement software agents. That's not confusing at all. The AI biz wants to make it easier for risk-averse organizations to automate workflows with machine learning models, something companies have been loath to do because pilot tests of AI agents often fail to demonstrate meaningful value."
"The company's Frontier platform is something else entirely. It helps orchestrate AI agents in the way that Kubernetes orchestrates containers. "Frontier connects siloed data warehouses, CRM systems, ticketing tools, and internal applications to give AI coworkers that same shared business context," OpenAI explains. "They understand how information flows, where decisions happen, and what outcomes matter. It becomes a semantic layer for the enterprise that all AI coworkers can reference to operate and communicate effectively.""
"OpenAI's adoption of the term "frontier" is particularly confusing given that the company started using it to describe AI models in 2023, shortly before it announced the formation of the Frontier Model Forum. "The Forum defines frontier models as large-scale machine-learning models that exceed the capabilities currently present in the most advanced existing models, and can perform a wide variety of tasks," the AI biz explained at the time."
OpenAI announced Frontier, a platform to help enterprises implement software agents and automate workflows with machine learning models. The platform orchestrates AI agents analogous to how Kubernetes orchestrates containers. Frontier connects siloed data warehouses, CRM systems, ticketing tools, and internal applications so AI coworkers share business context and reference a common semantic layer. The company previously used 'frontier' to describe large-scale models that exceed current capabilities and formed the Frontier Model Forum. The dual use of 'Frontier' creates naming confusion between the platform and the earlier concept of frontier models. Business context refers to tokens available to a large language model, including prompt text and interaction history.
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