
Introducing TrainLoop: Reasoning Fine-Tuning
Mason Pierce
600 posts

@mlpierce22
I feel like I would get a lot more out of this app if I could read. Cofounder @trainloop_ai (YC W25)

Introducing TrainLoop: Reasoning Fine-Tuning





Introducing Claude Opus 4.6. Our smartest model got an upgrade. Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes. It’s also our first Opus-class model with 1M token context in beta.









We release PostTrainBench: a benchmark measuring how well AI agents like Claude Code can post-train base LLMs. We expect this to be an important indicator for AI R&D automation as it unfolds over the next few years. 🔗 posttrainbench.com 📂 github.com/aisa-group/Pos… 1/n

Zoom achieved a new state-of-the-art (SOTA) result on Humanity’s Last Exam (HLE): 48.1% — outperforming other AI models with a 2.3% jump over the previous SOTA. ✨ HLE is one of the most rigorous tests in AI, built to measure real expert-level knowledge and deep reasoning across complex problems. What that means for you: ✅ More accurate summaries ✅ Better reasoning ✅ More powerful automation in AI Companion 3.0 Click the link to learn more. 🔗 zm.me/3MxVbyS

It is a very smart model, and we have come a long way since GPT-5.1: