A tech leader explores when AI involvement in work is additive versus a violation, sharing a framework for AI norms and values in engineering.
An opinion piece arguing that AI's success should be measured by its impact on human well-being, not just technological advancement.
Critical analysis of Mark Zuckerberg's essay on superintelligence, questioning Meta's claims and the gap between AI marketing and reality.
An engineer discusses 'AI psychosis' or 'cognitive surrender' in software development, urging critical thinking when using AI tools to avoid blindly trusting AI outputs.
Explores the ethics of AI use, arguing that AI is just technology and engagement is necessary to govern it responsibly.
A critical article arguing that AI is not inevitable and that resisting unethical AI tools is a moral duty.
A critique of people lacking standards in tech, criticizing blind following of figures like Elon Musk and AI despite ethical concerns.
A quote from Emanuel Maiberg about Google employees sharing memes criticizing its AI, with a note on Google's statement change.
A tech professional announces retirement from tech and open source to live offline, citing AI as the last straw.
A critical examination of AI use cases, starting with writing policies and a new livestream series called 'Humans In The Way'.
Explains why AI cannot bear legal or social responsibility, emphasizing that only humans can be accountable in business and tech services.
Explores why AI can never be fully ethical or safe due to the fundamental inability to know context and intent.
Explores legal liability risks when using AI agents to write code, questioning who is accountable for bugs that cause harm or financial loss.
Critique of AI's 'frictionless' promise, arguing human expertise and collaboration remain essential despite automation hype.
A guide to identifying deceptive 'AI snake-oil salesmen' and their red flags, contrasting them with legitimate AI practitioners.
An expert discusses the overhyped risks and data limitations of applying AI in life sciences, using examples like AlphaFold.
Explores how LLMs and AI challenge traditional definitions of privacy, analyzing the ethical implications of machine vs. human data observation.
Discussion on the "We love open source" podcast about the potential threats that AI poses to the open source and free software movements.
A developer explains how they use AI tools like Claude for web development, proofreading, and coding, but not for writing blog content.
A tech digest discussing AI's impact on software development, data privacy fines, and the 'Apprentice Gap' in an agentic world.
