AI Researcher Capability & Automation Pipeline Simulator

Active Research Workflow Stage Pipeline Status: Idle Ready

Compute Budget (PFLOPS-days) 120

Human Oversight Gate (%) 35%

Verification Rigor

Cycle Iterations 10

Milestone Paradigm Comparison

Architecture Stage	2026 Reached: Automated Intern	March 2028: Autonomous Researcher	Simulated Status

Execution Telemetry 2026 Intern

Cycle Wall-Time

4.8 hrs

Baseline

Human Review Load

1.7 hrs

35% gate overhead

Hallucinations Pruned

3 runs

23% pruned

Valid Papers / Wk

3.5

+1.0x baseline

Stage Audit Stream

Live telemetry stream

Theoretical Grounding

Engadget reported OpenAI's milestone achieving an automated research intern, targeting a full automated AI researcher by March 2028. This simulator models the key architectural delta: shifting from human-dependent debugging and high-latency oversight to autonomous hypothesis pruning and self-verifying compute orchestration.

AI Researcher Capability & Automation Pipeline Architecture

Your browser does not support video.

Read the explanation

The simulator models an autonomous AI research cycle across six sequential stages, contrasting the 2026 automated intern against OpenAI's 2028 target. In the 2026 intern baseline, verification failures trigger human intervention, routing flawed runs back to experiment scripting along a debug feedback loop. Selecting the March 2028 preset expands compute to 380 PFLOPS, contracts human oversight to 5 percent, and elevates simulated output from 3.5 to over 13 papers per week.