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13 articles
51% of professionals report that AI workslop lowers their productivity, highlighting the need for better AI implementation strategies. Experts suggest two key steps to combat this issue.
This article explores how advanced AI coding assistants like Codex work, using a real-world example of generating Linux window manager configurations. It explains the underlying technology and reveals important limitations of current AI systems.
Learn to build an AI-native workflow system that combines data engineering, prompt engineering, and language model integration - skills in high demand in today's job market.
This article explores advanced prompting techniques for large language models, including negative constraints, structured JSON outputs, and multi-hypothesis verbalized sampling, essential for reliable production deployment.
Learn how to create AI-generated avatars using text-to-image and image-to-image techniques, similar to those used in recent AI grift scams. This tutorial teaches character creation, prompt engineering, and image refinement.
OpenAI releases a comprehensive guide to help users master the art of prompting, emphasizing that clear and effective prompts are crucial for getting better responses from ChatGPT.
This article explains the advanced AI concepts behind large language models and how they can be misused, using the Florida shooting case as a case study to illustrate the complex challenges of AI safety and accountability.
AutoAgent is an open-source library that automates the optimization of AI agents, allowing engineers to improve their systems overnight without manual intervention.
OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.
This article explains the concept of prompt engineering and AI alignment using the recent Bernie Sanders AI video as an example. Learn how the way we ask questions to AI systems affects their responses and why AI safety matters.
This explainer explores the advanced AI concepts behind Garry Tan's viral Claude Code setup, examining how sophisticated prompting techniques and multi-modal reasoning enable powerful AI agent capabilities.
Learn how to implement Chain-of-Thought prompting techniques using Hugging Face Transformers to guide language models toward more structured reasoning patterns, similar to OpenAI's CoT-Control research.
