Decoding OpenAI’s Multi‑Level AGI Roadmap

OpenAI CRAIO Roadmap and Early Experiments

OpenAI announced a five‑layer AGI framework (CRAIO: Conversation, Reasoning, Agent, Innovation, Organization). The roadmap describes a progression from narrow AI (ANI) to AGI and eventually to superintelligent AI (ASI).

During the transition from layer 1 to layer 2, OpenAI launched multiple “Strawberry” projects that explored Chain‑of‑Thought (COT), mathematical coding, and specialized reasoning tasks. Although many of these projects did not succeed, they provided data for later breakthroughs.

RL‑Enhanced Chain‑of‑Thought and DeepSeep‑R1

Intensive experiments combining reinforcement learning (RL) with COT produced a large reasoning improvement. The RL‑Enhanced Chain‑of‑Thought approach solved simple comparative questions such as “Which is larger, 9.9 or 9.11?” with ease.

The subsequent DeepSeep‑R1 project introduced the R1‑zero method, which integrates RL and COT across training, inference, single‑modal and multi‑modal scenarios, achieving unprecedented performance.

DeepMind ECEVS Roadmap

DeepMind released a five‑step AGI roadmap (ECEVS) in an arXiv paper (https://arxiv.org/pdf/2311.02462). The steps describe automation layers: tool, consulting, collaboration, expert, and agent, with the agent positioned as the highest layer.

OpenAI L3 – ReAct Agents and Deep Research

The ReAct framework adds multi‑turn iterative memory to agents, enabling strong performance at the O3 level. However, without fresh data the gains plateau.

To overcome this limitation, OpenAI introduced “deep research,” which couples ReAct with web‑tool integration to retrieve up‑to‑date information. Competitors such as Google and Anthropic have adopted similar web‑tool‑augmented approaches.

L4 – Innovation AI

OpenAI plans to strengthen scientific research, programming, and mathematics capabilities, creating STEM‑focused agents. The OpenAI Academy platform is intended to nurture an “Innovation AI” ecosystem.

OpenAI also launched a $50 million “NextGenAI” alliance with 15 research institutions to fund innovative AI projects (https://openai.com/index/introducing-nextgenai/).

L5 – Organizational AI and Safety

Work on GPT‑5 system cards emphasizes ethics, safety, and alignment. OpenAI is expanding into vertical domains such as healthcare and education.

DeepMind’s recent responsible‑AI initiative outlines a “3M1S” risk framework, mirroring OpenAI’s focus on safe, scalable orchestration and super‑long‑memory supervision (https://deepmind.google/discover/blog/taking-a-responsible-path-to-agi/).

Supporting References

Nature article on AGI research: https://www.nature.com/articles/s41598-025-92190-7