Codex Head Tibo Claims Codex Can Set Its Own Goals and Generalize Meta Prompts
Tibo, head of Codex, stated that Codex is capable of seeing and setting its own goals.
Everything they build serves as an Agent tool, which is a generalization of meta prompting, allowing the Agent to autonomously set tasks based on user intent.
In market mechanisms, AI developers are accelerating the adoption of autonomous Agent architectures, with funding shifting from passive prompting engineering to intelligent systems that are self-goal-oriented and self-tooling. Leading Agent platforms benefit while traditional prompt-dependent tools face pressure.
Source: Public Information
ABAB AI Insight
Codex team previously focused on building Agent infrastructure, and through continuous iteration of tool invocation and autonomous capabilities, has expanded meta prompting from static instructions to dynamic task generation to enhance automation levels in complex workflows.
On the capital path, Codex mobilizes engineering resources to design products as native Agent tools, motivated by achieving a closed loop from user intent to autonomous execution, reducing manual intervention costs and accelerating iteration, while continuing to invest in self-goal mechanisms to solidify its leading position in the next generation of AI Agents.
Similar cases include OpenAI's o1 series of chain-of-thought autonomous reasoning and Anthropic Claude's evolution of tool usage. Codex is currently in a leading phase of transforming Agents from passive execution to active goal setting.
Essentially, this is a technological replacement: autonomous goal setting and tool building mechanisms replace the need for continuous human prompting input, driving capital concentration from prompt engineering labor to efficient Agent systems, and restructuring the productivity distribution in AI development.
ABAB News · Cognitive Law
Truly powerful Agents do not just follow instructions; they set their own goals and create tools. As meta prompting evolves, humans transition from executors to intent providers, exponentially amplifying leverage. Autonomy is not about losing control, but about transforming intent into the most efficient path for self-driven systems.