# GPT-5 is 58% AGI

Source: https://www.youtube.com/watch?v=HNoM1_Fi_JQ
Recap page: https://rapidrecap.app/video/HNoM1_Fi_JQ
Generated: 2025-11-04T13:07:45.54+00:00

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## Quick Overview

The consensus among AI researchers regarding AGI is highly fragmented, with the Center for AI Safety quantifying GPT-4 at 27% and GPT-5 at 58% toward their proposed measurable AGI framework, highlighting significant remaining gaps in areas like long-term memory and auditory processing.

**Key Points:**
- A collaborative paper from the Center for AI Safety proposes a quantifiable framework to define AGI based on cognitive abilities, moving beyond vague buzzwords.
- The proposed AGI framework dissects intelligence into ten core cognitive domains, including General Knowledge, Reasoning, and various memory functions.
- Using this framework, GPT-4 scored 27% toward AGI, while GPT-5 is projected to score 58%, showing rapid progress but a substantial gap remains.
- Elon Musk offered a similar definition where AGI is capable of doing anything a human with a computer can do, but not smarter than all humans and computers combined, estimating 3 to 5 years away.
- The research suggests current models perform strongly in knowledge and language but show critical deficits in foundational cognitive machinery, particularly long-term memory.
- The scope of the AGI measurement is strictly cognitive ability, explicitly excluding motor control or economic output, meaning high scores do not guarantee business value.
- The authors warn against hype, noting that many current models exhibit cognitive flaws like hallucinations and limited inductive reasoning.

![Screenshot at 00:09: The title slide of the research paper, "A Definition of AGI," displaying the authors' affiliations and the central hexagonal logo representing the framework's ten cognitive components.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-00-09.png)

**Context:** This video discusses the ongoing debate and lack of consensus surrounding the definition of Artificial General Intelligence (AGI), focusing specifically on a recent paper titled "A Definition of AGI" by researchers affiliated with the Center for AI Safety. The discussion references quantitative benchmarks provided in the paper, contrasting them with earlier, less precise definitions offered by figures like Elon Musk.

## Detailed Analysis

The video analyzes the challenges in defining AGI, centering on a new paper from the Center for AI Safety which introduces a quantifiable framework based on ten core cognitive domains derived from the Cattell-Horn-Carroll theory of human cognition. This framework allows researchers to track progress numerically, showing GPT-4 scored 27% and GPT-5 is projected to score 58% toward AGI. The speaker notes that the biggest remaining gap is in long-term memory and auditory processing, where current models score very low. Elon Musk's earlier definition, which focused on models being able to perform any human task but not smarter than all humans combined (estimating 3-5 years away), is contrasted with this new framework, which aims to move beyond economic utility and focus purely on cognitive ability, explicitly excluding motor control or economic output from the score. The paper highlights that while large models excel in knowledge and language, they suffer from foundational deficits like hallucinations and poor long-term memory, suggesting that progress will stall without addressing these core weaknesses.

### AGI Definition Debate

- The consensus definition of AGI is vague, leading to arguments like the Microsoft/OpenAI contract dispute; the Center for AI Safety paper offers a quantifiable alternative.

### The AGI Framework

- The paper dissects general intelligence into ten core domains (Knowledge, Reading & Writing, Math, On-the-Spot Reasoning, Memory Storage, etc.) evaluated on a 10-point scale.

### Model Performance Snapshot

- GPT-4 scored 27% overall, while GPT-5 is projected to hit 58%, indicating rapid progress but significant room for improvement, especially in memory and auditory skills.

### Elon Musk's Viewpoint

- Musk's definition centers on capabilities comparable to a human plus computer combined, estimating AGI is 3-5 years away, but this is contrasted with the paper's focus on cognitive parity, not economic dominance.

### Critical Weaknesses

- Current LLMs show high scores in knowledge and language but critical deficits in long-term memory and auditory processing, which the authors call the biggest bottleneck.

### Scope and Limitations

- The AGI score measures cognitive ability only; it does not guarantee business value, motor control, or economic output, and models still exhibit flaws like hallucinations and limited inductive reasoning.

![Screenshot at 00:06: A man in a cap speaking directly to the camera, introducing the topic of AGI definitions.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-00-06.png)
![Screenshot at 00:09: The title slide of the research paper, "A Definition of AGI," listing numerous authors and affiliations.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-00-09.png)
![Screenshot at 00:34: The speaker referencing the core problem: why AGI definitions matter for assessing AI progress.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-00-34.png)
![Screenshot at 01:55: A screenshot of the OpenAI blog post from February 2023 outlining their five levels of AI progress.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-01-55.png)
![Screenshot at 02:27: An Ars Technica article titled, "What is AGI? Nobody agrees, and it's tearing Microsoft and OpenAI apart."](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-02-27.png)
![Screenshot at 02:58: A Gartner definition of AGI describing it as the hypothetical intelligence of a machine that can accomplish any intellectual task a human can perform.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-02-58.png)
![Screenshot at 04:00: A section of the paper defining intelligence by skill acquisition and generalization rather than just skill itself.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-04-00.png)
![Screenshot at 05:57: A diagram from the paper detailing the ten core cognitive components used for measurement, categorized under Acquired Knowledge, Central Executive, Perception, Auditory, and Speed.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-05-57.png)
![Screenshot at 06:22: Table 1 showing the AGI Score Summary for GPT-4 \(2023\) and GPT-5 \(2025\) across the ten cognitive categories.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-06-22.png)
![Screenshot at 07:23: A tweet from Rohan Paul showing the 10 cognitive components chart and discussing the framework's structure.](https://ss.rapidrecap.app/screens/HNoM1_Fi_JQ/00-07-23.png)