Sapient Intelligence 发布并开源自主科研系统 PRAXIST Beta，通过并行 Research Peers 与共享研究图谱跨代累积实验证据。在完整 75 任务 MLE-bench 上，PRAXIST（deepseek-v4-pro）获 49 金、共 60 枚奖牌，超过 Claude Opus 4.8 的 34 金、55 枚。
Sapient Intelligence released PRAXIST Beta, an autonomous R&D system that carries experimental evidence across generations.
On the full 75-task MLE-bench:
- Sapient's PRAXIST got 49 gold medals and 60 medals overall for PRAXIST using deepseek-v4-pro.
- Claude Opus 4.8 reached 34 gold and 55 total
And PRAXIST is open source starting today
Instead of keeping only the best candidate, PRAXIST runs parallel Research Peers and stores findings, failures, evidence strength, and lineage in a shared research graph.
That graph lets later experiments reuse validated mechanisms, retest weak claims, and combine useful discoveries from different research branches.
Introducing PRAXIST Beta, your autonomous research team🚀 Define the objective, constraints, and what success looks like. PRAXIST discovers the path. From there, PRAXIST takes on the experimental research loop. Multiple Research Peers explore competing approaches in parallel, share useful findings, and build on accumulated evidence across experiments and generations. In partner-provided environments, PRAXIST reached a 100% safe-landing rate in a rocket simulation and reduced accumulated error in an industrial SLAM system from 9.37 centimeters to 5.01 centimeters. From robotics control to quantitative finance, PRAXIST has delivered measurable advances across fundamentally different problems by combining a shared core research architecture with domain-specific tools, knowledge, constraints, and evaluators. More approaches explored. Faster iteration. Greater R&D capacity without proportionally increasing specialist headcount.在 X 查看被引用的帖子
来源：Rohan Paul · x.com