Codex, introducing "context compaction" for long tasks and raising API prices by 40% to target enterprise engineering.

A ransomware gang exploited the critical React2Shell vulnerability (CVE-2025-55182) to gain initial access to corporate ...

Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API costs by over 30% while boosting accuracy.

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

What if the secret to unlocking the full potential of AI wasn’t in the algorithms themselves, but in how we frame their world? Imagine an AI agent tasked with organizing a massive library of knowledge ...

Have you ever wondered why even the most advanced language models sometimes produce irrelevant or confusing responses? The answer often lies in how their context windows—the temporary memory they use ...

Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

Context, a startup building an AI-powered office suite, on Wednesday announced that it raised $11 million in a seed round led by Lux Capital with participation from Qualcomm Ventures and General ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

ChatGPT is testing support for Model Context Protocol (MCP), which will allow it to connect to third-party services and use them as context. MCP is an open-source standard that allows developers to ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...