Annoying terms in post modern machine learning literature

 A collection of extremely stupid, artificial(sic) and pretentious terms which have sprouted around the "AI" hype. One day, if i get time, i will attempt to write parody definitions for the terminology; as of now i merely list them below.

Ingest, Consume, Foundation Model(God only know what is "foundational" about it), Artificial General Intelligence(Really?! General intelligence?), "practitioners", "in production"(what does it produce is what i wonder), Foundry (all i can think of such foundries is producing gas), "digital twin", "stand up". "training"(you can train a monkey or a dog; you can even train a human to imitate others like apes but how can you "train" a mathematical model? one can optimise its parameters.)

Irritating fake pretend words, mostly encountered in LinkedIn:

"chuffed"(another annoying term appearing a lot in LinkedIn), "reach out", "update"(one person asking for job recommendations is then asking for an "update").

Agentic Workflows: God only know who dreams up of these terminologies. No one really knows what it really means but it is already an "in thing" with enterprise unleashing agentic workflows. Basically, it seems some unnecessarily complicated natural language processing(NLP) with distributed APIs and calling RPC. All this packed under some Tools: and pseudo philosophical babble on "what is an agent". Since,  postmodern artificial intelligence has conferred the title of Godfather to some of the researchers - a privilege not even Fourier(for example) has been granted.

Basically, these guys are so stuffed up in their own hype cycle that they might believe that they exhale pure oxygen and the world could survive on their "feature rich" breath "embedding molecules of oxygen".