A groundbreaking study reveals that nearly 40% of fMRI signals don't correspond to actual brain activity, raising concerns about the accuracy of brain research and AI development relying on this technology.

A recent investigation revealed that certain 'privacy-focused' browser extensions, such as Urban VPN, have been selling AI-powered conversation data from 8 million users for profit, raising concerns about data privacy and AI development.

A Kenyan writer argues that ChatGPT's writing style is influenced by its training data, which is biased towards Western or globalized English, reflecting the cultural and linguistic nuances of its predominantly Western creators. This raises concerns about AI's potential to perpetuate cultural homogenization.

The rapid expansion of AI data centers is straining global infrastructure, potentially diverting resources from other critical projects and exacerbating environmental concerns. As AI development accelerates, the implications for energy consumption, resource allocation, and future infrastructure planning are significant.

AI coding tools are increasingly prevalent, but their adoption is met with skepticism by some developers, raising questions about their impact on the future of software development and the coding workforce.

The emergence of AI agents is transforming the SaaS landscape, enabling autonomous task execution and redefining software interactions. This shift has significant implications for AI development, the future of work, and coding practices.

Microsoft's Copilot AI is now integrated into LG TVs, but users can't delete it, sparking concerns over AI permanence and control.

A detailed analysis of the Shai-Hulud incident, where a dev machine was compromised, and GitHub org access was raided, highlighting the implications for AI development and code security.

Hashcards is a plain-text spaced repetition system that leverages hashing to manage flashcards, offering a flexible and efficient way to learn and retain information.