Codex hands tasks off to an autonomous agent. Copilot keeps you in the loop in your IDE. Understanding that difference is the only framework you need to make the right choice.

Why memory-driven loops are replacing stateless architectures, and how to prepare yourself for what’s next

A structured AI learning roadmap covering the best courses and resources for learning AI from scratch, covering everything from Python basics to LLMs and agentic AI.

Mira Murati's Thinking Machines Lab built a model that listens and talks at the same time. We break down the features and benchmark it against GPT-Realtime-2.

A curated learning path through the best DataCamp tutorials, courses, and code-alongs for mastering Claude and the Anthropic ecosystem.

Subquadratic's SubQ model claims a 12M-token context window, 52x efficiency, and frontier performance. Here's how its SSA architecture works and what the benchmarks actually say.

A curated learning path covering the best DataCamp courses, tutorials, and guides for getting the most out of ChatGPT.

Compare OpenAI's GPT-5.5 and Google's Gemini 3.1 Pro on coding, reasoning, agentic benchmarks, pricing, and context limits to help choose the right model.

A guide to the top LLM API providers, comparing the strengths and drawbacks of native, open-source, routing, and cloud providers for your AI workflows.

OpenAI's three new audio models — GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper — allow for live translation and streaming transcription in the Realtime API.

OpenAI's latest default prioritizes factual reliability, concise answers, and memory you can audit.

Semi-supervised learning trains models on a mix of labeled and unlabeled data, cutting labeling costs while improving accuracy across tasks like image classification, text analysis, and medical diagnostics.