Builders
Planning is where LLMs move from "saying" to "doing." Tencent Hy， in collaboration with the Gaoling…
腾讯混元联合人大开源PlanningBench评估框架
Tencent Hy (@TencentHunyuan)
X (formerly Twitter)Planning is where LLMs move from “saying” to “doing.” Tencent Hy, in collaboration with the Gaoling School of Artificial Intelligence at Renmin University of China, is excited to open-source PlanningBench - a scalable, verifiable framework for evaluating and training LLM https://t.co/KiPhjbfYWS
Open sourceRecommended because
This is worth tracking because it is a concrete builder signal, not just a passing headline. The source preview points to a practical workflow, open-source tool, prompt pattern, or implementation detail. For builders and operators, "Planning is where LLMs move from "saying" to "doing." Tencent Hy， in collaboration with the Gaoling…" can be used as a checkpoint for shipping faster, improving internal workflows, and spotting repeatable builder patterns. I keep this thread indexed so future searches around AI builder tips, agent workflows, prompts, and implementation patterns can land on a source-linked page instead of disappearing into a fast-moving feed from X (formerly Twitter).
What to take from this signal
Context
"Planning is where LLMs move from "saying" to "doing." Tencent Hy， in collaboration with the Gaoling…" is archived here as a source-linked AI signal from X (formerly Twitter). The useful part is the connection between Planning, where, LLMs, move, saying and shipping faster, improving internal workflows, and spotting repeatable builder patterns, which makes the item more actionable than a normal feed headline. The source context says: Planning is where LLMs move from “saying” to “doing.” Tencent Hy, in collaboration with the Gaoling School of Artificial Intelligence at Renmin University of China, is excited to open-source PlanningBench - a scalable, verifiable framework for evaluating and training LLM
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around tooling, prompts, agent loops, implementation speed, and repeatable workflows. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
X (formerly Twitter) 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
- Planning is where LLMs move from "saying" to "doing." Tencent Hy， in collaboration with the Gaoling… Builders context
- X (formerly Twitter) AI builder tactics
- Planning, where, LLMs, move, saying builder takeaway
- AI builder tips, agent workflows, prompts, and implementation patterns
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.