This category contains 9 tracked predictions. Each page includes the original claim, current evidence, counterevidence, and what would change our assessment.

AI algorithmic progress multiplier reaches 4× (~2× overall R&D) Not Yet Testable
March 2027 Updated 2026-09-06 35% confidence in assessment

This massive superhuman labor force speeds up OpenBrain's overall rate of algorithmic progress by 'only' 4x due to bottlenecks and diminishing returns to coding labor. (Note: Footnote 31 clarifies 4x algorithmic progress corresponds to roughly 2x overall progress rate.)

AI companies focus on AI-for-AI-research Confirmed
2025–2026 Updated 2026-09-21 95% confidence in assessment

Frontier AI labs increasingly use AI systems to accelerate their own AI research and development.

AI R&D progress multiplier reaches 1.5× Emerging
Early 2026 Updated 2026-09-07 75% confidence in assessment

AI systems contribute enough to AI research that the effective R&D multiplier reaches 1.5× — AI makes AI research 50% faster.

AI R&D progress multiplier reaches 2x Emerging
Late 2026 Updated 2026-09-07 50% confidence in assessment

While the latest Agent-1 could double the pace of OpenBrain's algorithmic progress, Agent-2 can now triple it, and will improve further with time.

AI R&D progress multiplier reaches 3× Not Yet Testable
January 2027 Updated 2026-09-06 40% confidence in assessment

While the latest Agent-1 could double the pace of OpenBrain's algorithmic progress, Agent-2 can now triple it.

AI research capability becomes vastly better than the best humans Not Yet Testable
November 2027, racing branch Updated 2026-09-06 90% confidence in assessment

A superintelligent AI researcher is vastly better than the best human researcher at AI research.

AI research capability exceeds the strongest human researchers Not Yet Testable
September 2027 Updated 2026-09-06 85% confidence in assessment

An individual Agent-4 copy operating at human speed is qualitatively better at AI research than any human.

AI teams conduct complete research projects with little human direction Emerging
June 2027 Updated 2026-09-21 80% confidence in assessment

AI collectives produce most research progress while most humans cease to contribute usefully; leading humans retain some research judgment.

Leading humans still add substantial value to AI-led research Not Yet Testable
June 2027 Updated 2026-09-06 80% confidence in assessment

Most humans contribute little, but the strongest retain research taste and planning value; the appendix estimates removing humans would slow research by roughly half.