Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

In 2026 (and beyond) the best benchmark for large language models won’t be MMLU or AgentBench or GAIA. It will be trust ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Researchers from Shanghai Jiao Tong University and East China Normal University conducted a large-scale review identifying ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Learn simple, expert-backed tips to get smarter, more useful answers from ChatGPT, including better prompts, clearer context, ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...