OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Semantic fingerprints for intent-based Python code search — 50–100x faster index lookups, 10–50x fewer tokens for AI agents. Symdex-100 generates compact, structured metadata ("Cyphers") for every ...

PULSE enables any AI system to communicate with any other AI system - regardless of vendor, framework, or architecture. The Problem: Enterprises deploy 15-30 different AI systems that cannot ...

In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the earliest dimensions of the vector carry the most useful semantic signal. We ...

GPT‑5.3‑Codex, its new coding and development model, is apparently the first “that was instrumental in creating itself.” No, that probably doesn’t mean ChatGPT is ready to build its own Skynet, but it ...

Explains why the ABA’s Model Procurement Code needs modernization to reflect today’s digital, complex, and strategic state and local government procurement environment. Describes the Model Procurement ...

On Thursday, Anthropic released the latest version of Opus — its most advanced model and a particularly important model for Claude Code. Opus 4.5 was only released last November, and with 4.6, the ...

Anthropic launched its latest AI model, Claude Opus 4.6, which is better at coding, sustaining tasks for longer and creating higher-quality professional work, the company said. The company's models ...

Anthropic is out with a new model called Claude Opus 4.6, an upgrade to its top-of-the-line Opus 4.5 model that launched in November. The new release could add new capabilities to Anthropic’s Claude ...

Abstract: Source code vulnerability detection is a major goal in security research. In recent years, deep learning methods have been applied to this end, however the task of embedding code into vector ...

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage using ...