The world of generative AI is full of definitions, terms, buzzwords and monikers. Here are the definitions for twelve of the most important, pertinent and impressive terms found in the fantastic, exciting and revolutionary field. Enjoy the ride!
Move over, data scientists, those earnest souls hunched over Jupyter notebooks, nursing lukewarm flat whites and dreaming of p-values. The new aristocrats of the algorithm have arrived, and they speak in barely audible breaths. Whispering AI specialists, the hushed virtuosos who coax meaning from murmurs, have quietly annexed the crown once worn by the “sexiest job of the 21st century”. (Apologies to Harvard Business Review; even the sexiest jobs suffer from inflationary pressures.)These soft-spoken savants are not merely surviving the generative-AI rollercoaster; they are redesigning the ride, adding velvet restraints and mood lighting. To avoid being flung into the souvenir shop of obsolescence, you must master ten career-extending hacks. Consider them the conversational equivalent of whispering sweet nothings into a supercomputer’s ear: intimate, precise, and oddly lucrative.
Every age has its prophets. The Victorians had their mesmerists, the 1990s had their dot-com futurists, the 2000s had our wacky and dishonest Big Data clowns, and we — lucky us — have our AI influencers, the brave souls who can turn a prompt into a keynote, a hallucination into a business model, and a buzzword into a lifestyle.
By Barnice Blaar, Gretel Grumbleguts and Nifan Farc.
🚀 The Generative AI Revolution: The Future Is Unreal — Literally!
Every so often, a technology comes along that completely reshapes how we work, create, and imagine. Just a few years ago, “artificial intelligence” sounded like something out of a sci-fi movie. Today, Generative AI isn’t just a buzzword — it’s the most transformative force of our time.
Amid artificial intelligence’s clamour, the discourse ranges from the delightfully absurd to the soberingly wise. Here are some of the most outlandish and refreshingly grounded reflections on AI from voices across the spectrum.