Image generation, without the “AI look”: Flux.1 Krea is an open weights model with opinionated aesthetics.
/ AI & Journalism
“There’s no getting around the decline in traffic”: Another apocalyptic roundup on what’s happening with search. (Klaudia Jaźwińska, Columbia Journalism Review)
Vibecoding
Not coding, but telling a chatbot what an app should do. It throws an error? Ask AI to fix it. Andrej Karpathy coined “vibe code” in early February 2025: “fully give in to the vibes, embrace exponentials, and forget that the code even exists.” By month’s end, the New York Times had covered it. Backlash followed: vibecoded apps exposed...
Super Journalist
A marketing term by Axios CEO Jim VandeHei. He sees no future for “average” journalists who chronicle events. Instead, “Super Journalists” with deep passion for a topic and deep sourcing, knowledge, and credibility establish an authentic human connection, based on trust built over years. If only we had a word for it. (It’s “journalist.” The word...
Slop
Used to describe low quality content made with the help of AI. As in: “I hate this AI-slop.” Was funny in 2023. Can carry classist undertones. Dangerzone Sarkar, Advait (2025): AI Could Have Written This: Birth of a Classist Slur in Knowledge Work
Stochastic Parrots
After an influential paper criticising AI hype and describing fallacies of generative AI. Perfect back in 2021. While the critique still stands, newer models and use cases make you seem stuck in the past when using the expression. Dangerzone Bender, Emily M.; Gebru, Timnit; McMillan-Major, Angelina; Mitchell, Margaret (2021): On the Dangers of Stochastic Parrots: Can Language Models...
Stateless Functions
Chatting with a bot won’t make it smarter for you or other users. Models have no memory of previous conversations. To mimic a chat, previous inputs and outputs must be sent to the model each time. Training happens once using massive datasets before deployment. (Your data might still be stored by the company for future...
MCP or Model Context Protocol
The bridge between a chatbot like ChatGPT and another piece of software. Want your chatbot to access your WordPress blog? MCP. Let your chatbot write in a Notion databse? MCP. Let a chatbot delete your whole codebase in a glitch? MCP.
Overemployment
When you secretly balance more than one remote job simultaneously. This trend started in software development during the Covid years—a mixture of hustle culture and strategic deadline management. Bosses are not happy. Those AI efficiency gains? Not for the plebs.
Magic Tokens
Adding “think step by step” in prompts can yields better outputs. Anthropic says that giving the chatbot a role like “data scientist” makes for different results, because a data scientist might see different things in data. Now, models are not using language, but a numerical representation: tokens. 17509, 656, 5983 is “step by step” tokenized...
Luddites
The Rebellion against the Empire of AI. Named after a British labor movement from 1811-1816 that—with style and swagger—disrupted textile factories. Not opposed to machines per se, they wanted a say in how technology was used to preserve their livelihood, their craft, their community. (The government eventually suppressed the Luddites, requiring 14,000 troops.) The Luddites...
Informational Logistics
The reduction of journalism into filling content pipelines. News gets fragmented into AI-digestible units, automatically repackaged for different audiences, and fed directly into chatbots and recommendation systems. Klingebiel, Johannes (2025): Informational logistics
Liquid content
It’s the death of the article. “With generative AI, we’re entering a new era: content is becoming dynamic again, flowing like water to adapt to you—your time, space, and interactions,” says Google’s Matthie Lorrain. Text-to-speech is just a tiny step in that direction. "What if news media were to let go of the artifact as...
Grounding
LLMs generate text by predicting word patterns, but they don’t know what words actually mean to humans. That’s why they sometimes hallucinate. But when you provide outside information—like documents or websites—their answers can be anchored to real, meaningful data. That’s grounding. Harnad, Stevan (1990): The symbol grounding problem
