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Trump declares anyone who uses the term 'Artificial Intelligence' to be 'The Enemy!'. The post is a satirical or humorous jab at political rhetoric around AI terminology.
A U.S. Executive Order directs agencies to replace "AI" with "Super Intelligence" in official communications, and NIST is migrating its public terminology accordingly — raising provenance and evidence-intelligence concerns about distinguishing name changes from substantive changes in source authority.
antirez argues that calling classifiers "decision models" misrepresents machine learning, since such models (whether small LLMs using prefill logits or BERT-like encoders) make far fewer decisions than an LLM that processes information through chain-of-thought reasoning.
Elon Musk and Jensen Huang are shifting their language from AI to SI (Super Intelligence), raising questions about future adoption of the term in the tech industry.
Matt Pocock announced the addition of the term 'Software Factory' to the AI Coding Dictionary, emphasizing its status as a current hype term in AI coding.
Donald Trump declared in a UN General Assembly speech that the US is officially renaming artificial intelligence to 'super intelligence,' arguing that the word 'artificial' makes it sound fake.
A tweet questions whether 'decision model' is a new term for zero-shot classification in AI.
Former President Donald Trump is being mocked for his bizarre effort to rename AI as 'superior' or 'extreme' intelligence, sparking public ridicule and debate.
The article questions the meaning of AGI as claimed by AI labs, noting how the term has evolved and including expert opinions on its definition and implications.
The tweet advises UI/UX developers to use precise terminology when communicating with AI about components and promotes The Component Gallery as a comprehensive reference for interface components.
The article critiques the overuse of 'AI agent' in the tech industry, advocating for terms like 'shard' for simpler, bounded components to avoid misleading perceptions of autonomy.
The article argues that authorization terminology is confusing and proposes a taxonomy based on five key questions to better categorize models like RBAC, ABAC, and PBAC.
This article clarifies the terminology in AI systems, distinguishing between models, inference services, and agent systems, and explains how they work together.
Miles Brundage comments on the negative connotations of the term 'AI,' relating it to a Hugging Face incident and a podcast discussion on the human-like aspects of AI systems.
This study evaluates four proprietary LLMs (GPT-4o, GPT-5.2, Claude Sonnet 4.5, DeepSeek) for specialized terminology translation from English to French across two domains, comparing prompting strategies. Results show Claude Sonnet 4.5 performs best, but LLMs cannot yet replace specialized corpora.
A proposal to disambiguate the term 'graph engineering' into 'knowledge graph engineering' and 'agent graph engineering', referencing the 2026 surge in agent orchestration graphs and the confusion with traditional knowledge graphs.
A discussion on the varying definitions of 'AI agents' and whether everyone means the same thing when using the term.
This position paper argues that the term 'machine unlearning' is overused in LLM research, advocating for stricter terminology tied to dataset-defined deletion and retraining-equivalence guarantees.
Discusses two conflicting meanings of the term 'vibecoding'—one referring to careless code dumping on AI and another to significant AI assistance—and argues this ambiguity causes unnecessary friction in communication.
Linear design engineer Emil Kowalski compiled 90+ animation terms covering 12 categories. The author used Claude to create a bilingual preview site for understanding the effects.