Media & Culture

We might reach AGI sooner..

Leaked internal project uses 'post-training' to enable deep research and long-horizon tasks autonomously.

Deep Dive

OpenAI is reportedly advancing toward Artificial General Intelligence (AGI) with a secretive internal project codenamed 'Strawberry.' According to sources, the project focuses on enhancing AI reasoning through a specialized 'post-training' process, moving beyond standard model fine-tuning. This approach is designed to enable AI to perform deep research, autonomously browse the internet, and solve complex, multi-step problems that require long-horizon planning—capabilities that current models like GPT-4o and Claude 3.5 struggle with.

The technical details of 'Strawberry' remain closely guarded, but it is understood to involve novel methods for the AI to chain together logical steps over extended periods, potentially days or weeks, to reach a solution. This represents a shift from reactive, prompt-based responses to proactive, goal-directed problem-solving. The project is part of a broader industry race, with competitors like Google's DeepMind and Anthropic also pursuing advanced reasoning models, though OpenAI's specific 'post-training' methodology appears to be a key differentiator.

The implications are profound for fields requiring deep analysis, such as scientific research, strategic business planning, and complex codebase management. If successful, 'Strawberry' could automate high-level cognitive work, acting as a supercharged research assistant or strategic planner. However, it also raises significant safety and control questions, as an AI capable of autonomous, long-term planning requires robust oversight. The leak suggests AGI—AI that can perform any intellectual task a human can—may be closer than public roadmaps indicate, potentially arriving within a few years rather than decades.

Key Points
  • Project 'Strawberry' uses a novel 'post-training' process to enable deep, autonomous research and problem-solving.
  • Aims for AI that can perform long-horizon planning over days or weeks, a key hurdle toward AGI.
  • Represents a significant internal push at OpenAI, suggesting AGI timelines may be more aggressive than publicly stated.

Why It Matters

Could automate high-level research and strategic planning, fundamentally changing knowledge work but requiring new safety frameworks.