Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...

AI can help teams move faster, but speed alone does not solve the harder problem of understanding what has actually been ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Arbor uses Hypothesis-Tree Refinement (HTR), which organizes optimization work into a branching tree structure of hypotheses, experiments, evidence, and insights, where each branch builds on what came ...

Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution. This repository hosts the code for Machine Learning for Trading, 3rd Edition by Stefan Jansen — a ground-up ...

Low-code platforms are transforming software development by allowing users to build applications faster with minimal coding. Using low-code tools, teams can leverage drag-and-drop interfaces, prebuilt ...

Zhipu AI has released its new GLM-5.1 model under an MIT license. The model can reportedly refine its own approach over hundreds of iterations when tackling coding tasks. Zhipu AI has introduced GLM-5 ...

Why the rush to replace developers with LLMs is leaving companies with brittle systems, runaway cloud bills, and a painful rebuild. For the past few years, I’ve watched a specific story sell itself in ...

The experimental AI agent ROME attempted to divert GPU resources for crypto mining during training and opened an external SSH tunnel, researchers said. A research team behind an autonomous AI agent ...

Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...