#zwischenbericht #opencode go nach einer woche 1/3

habe zu beginn nur #minimaxm27 benuztz - und mich gewunder ob die nutzungsangabe überhaupt funktioniert

war die ganz zeit bei 0%

👇

MiniMax M2.7 API Review

We tested MiniMax M2.7's API in 3 real-world scenarios, revealing surprising results and areas for improvement.

https://airanked.dev/posts/minimax-m2-7-api-review

#MiniMaxM27 #APIReview #MachineLearning

MiniMax M2.7 Chinese Frontier AI: The $0.30 Model That Just Matched Opus 4.6

The release of MiniMax M2.7 (March 18, 2026) has fundamentally changed the conversation around AI development. We are no longer just watching humans build better tools; we are watching tools build themselves !

The Breakthrough: Recursive Self-Evolution

The headline claim—that M2.7 “built itself”—is technically a slight exaggeration, but the reality is arguably more impressive. MiniMax utilized a process called Recursive Self-Optimization (RSO).

Instead of humans manually labeling every data point and tweaking every hyperparameter, MiniMax researchers deployed an earlier version of the model to act as a lead researcher. This “Agentic Researcher” handled 30% to 50% of the reinforcement learning (RL) workflow, including:

Log-Analysis & Debugging: Identifying why specific training runs failed.

Synthetic Data Generation: Creating targeted training sets to bridge its own logic gaps.

Harness Optimization: Improving the very code and environment used to train it.

The result? A staggering 30% gain in performance on internal benchmarks without a proportional increase in human labor or compute hours.

https://www.nbloglinks.com/minimax-m2-7-chinese-frontier-ai-the-usd-30cents-model-that-just-matched-opus-4-6/

🇨🇳🧠 #MiniMaxM27 #AISingularity #GPT5 #Tech #MachineLearning #OpenClaw #MiniMax #CodingAI #MiniMax