Capabilities · Concept
Cura 1T: Specialized Agentic Healthcare Model
Healthcare LLM trained via human-gated self-evolution covering consultation, multimodal reasoning, and EHR tool use.
Forecast horizon
Connections
Connections · 2
How this node ties into the rest of the map, and the evidence behind each link.
from · constrains 4/10
MedFailBench: Medical AI Safety Boundary Benchmark MedFailBench inspects which medical safety boundaries fail, providing an evaluation foil for specialized healthcare agents/models.
+4 growth from · applies to 4/10
MedFailBench: Medical AI Safety Boundary Benchmark MedFailBench safety-boundary inspection complements specialized agentic healthcare model evaluation beyond accuracy.
+4 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
Task horizon doubling Mar 2025
The length of software tasks AI agents can do autonomously at 50% reliability has doubled about every 7 months — and since 2024 closer to every ~3 months.
METR → Benchmarks saturating Apr 2025
In one year scores rose by 18.8, 48.9 and 67.3 points on MMMU, GPQA and SWE-bench; real-world software solve rate jumped from 4.4% to 71.7%.
Stanford HAI — AI Index 2025 → Autonomous coding 2025–2026
On SWE-bench Verified (500 real GitHub issues), autonomous coding agents reached ~80–86% by late 2025, up from under 50% in early 2025.
Epoch AI →