Hallucination

Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market

Why language models hallucinate, revisiting Amodei’s code prediction and AI in the job market

Experts discuss an OpenAI paper that reframes hallucinations as a feature driven by training incentives, not just a bug. The panel also revisits Dario Amodei's prediction on AI coding, explores AI's chaotic impact on the job market, and imagines the future of running LLMs on business-card-sized devices.

Ask the Experts: Gen AI, Cybersecurity, & AI Agent Questions Answered

Ask the Experts: Gen AI, Cybersecurity, & AI Agent Questions Answered

Experts Martin Keen and Jeff Crume differentiate between Generative and Agentic AI, delve into the nature of AI hallucinations, and explore critical cybersecurity topics like the permanence of the dark web and the dangers of zero-click attacks.

GPT-5: Five AI Model Improvements to Address LLM Weaknesses

GPT-5: Five AI Model Improvements to Address LLM Weaknesses

GPT-5 introduces five key improvements to address core limitations of large language models, including a new routing system for model selection, targeted training to reduce hallucinations, post-training penalties for sycophancy, a nuanced "safe completions" approach for sensitive topics, and chain-of-thought monitoring to prevent deception.