People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

Spark, a lightweight real-time coding model powered by Cerebras hardware and optimized for ultra-low latency performance.

GPT-5.3-Codex helped debug and deploy parts of itself. Codex can be steered mid-task without losing context. "Underspecified" prompts now produce richer, more usable results. OpenAI today announced ...

OpenAI is pitching GPT-5.3-Codex as a long-running “agent,” not just a code helper: The company says the model combines GPT-5 ...

GPT-5.3-Codex can now operate a computer as well as write code It's also quicker, uses fewer tokens and can be reasoned with mid-flow Codex 5.3 was even used to build itself and the team was "blown ...

Notably, GPT-5.3-Codex is the first OpenAI model that was used to create itself: The team used early versions of the model to debug its training, manage its deployment, and diagnose test results and ...

Is GPT-5.3 Codex the fantastic option developers have been waiting for? With its lightning-fast execution, a staggering 400K token context window, and unparalleled efficiency, OpenAI’s latest model is ...