An exploration of autonomous AI agents as non-human identities, why classic risk models fail, and how zero-trust, guardrails, ...

Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...

Spread the love“`html The landscape of AI cybersecurity in 2026 is shaping up to be a matter of intense concern for ...

The future of AI at work isn't better prompts—it's creating reusable systems that capture how your best people think and ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Artificial intelligence is no longer simply helping cybercriminals work faster—it is increasingly becoming an active ...

LayerX found that BioShocking could trick AI browsers into leaking credentials by disguising malicious prompts as game rules.

This article is part of an ongoing column on AI and planning by urban planning professor and AI expert, Tom Sanchez. Learn more about Tom and read more installments of his column. There is a rapidly ...

According to @godofprompt, asking “and then what happens?”—known as prompt chaining—turns generic outputs into actionable, high-fidelity plans. In May 2026, prompt engineering expert God of Prompt ...

Abstract: The exponential growth of scholarly publications requires automated tools for effective information synthesis. However, simple, single-shot prompting methods often lack the reliability and ...

AI tools like ChatGPT, Claude, and Gemini are only as good as the prompts you give them. Vague prompts produce generic outputs. Specific, well-structured prompts produce results you can actually use.