Learning a Size-Weight Frontier for Synthetic-Augmented Inference

Even with GraphRAG, the agent gets lost without a memory contract

Pessoal, o agent puxou um trecho bonito. Similaridade alta. Confiança alta. Estava no stub errado. Não foi “RAG fraco”. Foi porta errada. Índice caro, lixo na entrada.

• Agent struggles without memory contract despite GraphRAG technology
• High cost of index and garbage input identified as problems
• Contract consists of single source, unique canonic pages, and scopes

2026-08-28 ·dev.to

Using Scikit-Learn Pipelines: A Cleaner Way to Build Machine Learning Models

If you've spent some time building machine learning models with Python, you've probably had a notebook that looked something like this: X_train = scaler . fit_transform ( X_train ) X_test = scaler .

• Pipelines connect multiple ML steps into a single workflow
• Prevent data leakage by applying preprocessing only to training data
• Keep preprocessing and modeling together for cleaner, maintainable code

2026-08-28 ·dev.to

Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning

Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a hand of this capability affordable to build. Two effects produce that saving.

2026-08-28 ·arxiv.org