OpenAI is consolidating ChatGPT's position as a productivity platform by layering organizational primitives, projects, skills, and marketing-specific workflows, directly into the product rather than waiting for third-party developers to build them. The announcement of projects and skills as native features signals a shift from chat-as-interface to chat-as-infrastructure, with built-in collaboration and task automation designed to lock workflows into the platform itself. Marketing teams get explicit feature bundling, a vertical-specific play that reduces friction for a high-value user segment. Simultaneously, the disclosure of the Axios supply chain attack and OpenAI's response, certificate rotation, app updates, no user data compromised, reads as necessary credibility maintenance for a company asking enterprises to route sensitive work through its systems. The timing clusters these product announcements with a security incident response, which is standard practice but worth noting: enterprise adoption of ChatGPT depends on both feature depth and demonstrated operational security. OpenAI is not waiting for market pull; it is building the workflows and governance layers that customers would otherwise outsource to specialized tools, betting that integration beats best-of-breed for most users.
Sloane Duvall
A curated reference of models from major AI labs, with open/closed weight status, input modalities, and context window size. American labs tend towards closed weights models and Chinese labs tend toward open weights models.
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