The emergence of AI agents is prompting a re-evaluation of online interactions, raising questions about user experience, security, and the balance between automation and human control.

As AI agents become more prevalent, designing for their experience (AX) is crucial. Leveraging OAuth can enable secure and user-centric agent interactions.

Concerns are raised about the accuracy and completeness of the ‘thinking tokens’ provided by OpenAI’s ChatGPT, suggesting potential obfuscation rather than transparency.

Evidence suggests Meta may have used torrented, copyrighted books to train its AI models, raising legal questions about fair use and copyright infringement.

Exploring the potential of Large Language Models like Gemini Flash 2.0 for efficient and scalable PDF parsing and chunking in RAG systems.

A detailed look into the process of building and training large language models (LLMs), from data acquisition to reinforcement learning, and their inherent capabilities and limitations.

An initiative to replicate OpenAI’s Deep Research by open-sourcing the agentic framework, aiming for accessible, customizable, and locally-run AI research tools.

Huawei’s Ascend 910C emerges as a viable alternative for AI inference, offering a path towards reduced reliance on Nvidia GPUs despite ongoing challenges.

Strategies for staying informed without succumbing to the overwhelming negativity and outrage often found online.

Explore the concept of outrage fatigue, its causes, and strategies for staying informed without succumbing to apathy and burnout.