Codex Head Tibo Forms Early User Feedback Group for ChatGPT Work
Codex head Tibo (@thsottiaux) plans to form an early access group of 50-100 people for ChatGPT Work to discuss product improvements.
He invites users to DM mentioning "ChatGPT Work," describing use cases and improvement suggestions, and will form the group within 48 hours, not recruiting developers this time.
Tibo uses voice input to have ChatGPT Work handle a large number of Twitter DMs, generating a spreadsheet that includes names, links, content, categories, and maturity ratings for building a diverse testing group.
OpenAI accelerates product iteration through user participation, with early adopters benefiting from feedback rights, while the platform optimizes and enhances competitiveness through real workflows, concentrating capital on enterprise-level AI tools.
Source: Public Information
ABAB AI Insight
Tibo, as the head of Codex, continues the co-creation iteration path of OpenAI users by forming this beta group, showcasing the practical application of ChatGPT Work in productivity scenarios through voice-to-complex task processing.
On the capital path, OpenAI's resources are tilted towards optimizing enterprise workflows, motivated to accelerate product maturity through diversified feedback, strategically building a high-stickiness enterprise user base.
Similar cases include early closed testing of several AI tools, with current enterprise AI assistants deeply integrated into workflows.
Essentially, this represents capital concentration: real work scenario data drives iteration, with the mechanism of the beta group reducing development blind spots, forcing capital to shift from general models to vertical enterprise tools, enhancing OpenAI's pricing power and ecological barriers in the productivity market.
ABAB News · Cognitive Laws
Voice input for complex tasks, AI has become a productivity lever
Early user feedback surpasses internal testing
Diverse cohorts are accelerators for product maturity