Deception

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.

AI doesn't work the way you think it does

AI doesn't work the way you think it does

Today's AI, despite its impressive capabilities, may be an "impostor" with a messy, unstructured internal understanding—a "spaghetti" representation. This summary explores an alternative, open-ended approach to building AI that fosters a deep, modular, and truly intelligent foundation, moving beyond brute-force optimization to embrace serendipitous discovery and "evolvability."