The AGI Timeline & Frontier Benchmark Index: ARC-AGI-3, DeepSWE, and the Five Levels of Autonomous Machine Intelligence
When will Artificial General Intelligence arrive? A technical evaluation of ARC-AGI-3 saturation, FrontierMath benchmarks, recursive self-improvement loops, and compute scaling limits from OpenAI, DeepMind, and Meta.
### Defining Artificial General Intelligence: From Philosophy to Engineering
Few terms in computer science suffer from as much semantic ambiguity as **Artificial General Intelligence (AGI)**. To philosophers, it implies synthetic consciousness or self-reflective agency. To computational researchers, however, AGI is an empirical engineering threshold: **a software system capable of matching or exceeding the median human intellectual performance across economically valuable cognitive tasks without human intervention.**
$\text{AGI Index} = \min_{d \in \mathcal{D}_{\text{cognitive}}} \left( \frac{\text{Score}_{\text{Model}}(d)}{\text{Score}_{\text{Human Expert}}(d)} \right) \ge 1.0$
The transition toward AGI is no longer a speculative horizon; it is an active benchmark progression measured on standardized evaluation suites like **ARC-AGI-3**, **FrontierMath**, **DeepSWE**, and **Terminal-Bench 2.1**.
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### The Five Operational Levels of Machine Autonomy
The framework established...