Research
We tried to automate Epoch
Epoch AI 用内部工作任务评测前沿模型：Claude Fable 5.1 与 GPT-6 Astra 平均只得 65%
We tried to automate Epoch
epochai.substack.comTop models complete about two-thirds of our rubric on real work tasks.
Open sourceRecommended because
This is worth tracking because it is a concrete research signal, not just a passing headline. The source preview points to a research result, method, evaluation, dataset, or safety finding. For builders and operators, "We tried to automate Epoch" can be used as a checkpoint for technical due diligence, roadmap bets, agent design, and evaluation strategy. I keep this thread indexed so future searches around AI research papers, technical methods, and applied AI systems can land on a source-linked page instead of disappearing into a fast-moving feed from epochai.substack.com.
What to take from this signal
Context
"We tried to automate Epoch" is archived here as a source-linked AI signal from epochai.substack.com. The useful part is the connection between tried, automate, Epoch, Top, models and technical due diligence, roadmap bets, agent design, and evaluation strategy, which makes the item more actionable than a normal feed headline. The source context says: Top models complete about two-thirds of our rubric on real work tasks.
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around technical feasibility, evaluation design, safety limits, and product primitives. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
epochai.substack.com remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- We tried to automate Epoch Research context
- epochai.substack.com AI research
- tried, automate, Epoch, Top, models builder takeaway
- AI research papers, technical methods, and applied AI systems
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.