AI

It is fashionable to believe that technological progress is inevitable, and that artificial intelligence will, barring catastrophe, continue its relentless march forward. But there is a future, quietly lurking just beyond the smug grins of Silicon Valley keynote speeches, where AI does not progress much further at all. Not because of some singularity, nor because we all upload our brains into the cloud, but because we collectively decide: “That is quite enough, thank you.” ...

Elena remembered when the world still made some sort of sense. Not much, admittedly, it had always teetered somewhere between absurd and unbearable, but at least back then, she could lie to herself about having a job, a future, or a say in how things turned out. Now, her morning routine involved checking two things: whether the universal basic income had landed in her bank account (it had not), and whether the nearest AI surveillance drone was watching (it was). ...

Elijah never quite knew how to answer the question, “So, what do you do?” He could say AI liaison, but that sounded pompous and vaguely sinister. He could say digital compliance coordinator, but even his mother snorted at that one. In truth, he spent most of his days arguing with regulatory software about whether the hospital’s cancer diagnostics model violated EU data transparency directives or merely flirted with them. It was 2028, and Elijah worked at a hospital that could diagnose rare cancers with 99% accuracy. The machine, he refused to call it a colleague, could parse blood data, family history, and MRI scans in seconds. It was not always right, but it was close enough that human oversight had become more symbolic than necessary. ...

Pau was late, again, thanks to the AI-run tram that insisted on pausing for precisely 12.4 seconds at each station “for optimal urban harmony.” “Urban harmony my arse,” he muttered, stepping out into Barcelona’s midday sun, which was now neatly moderated by micro-reflective paint and smart algae rooftops. Somewhere, a city-wide AI had just nudged the temperature down a degree using a predictive cloud-seeding protocol. It was not magic. It just felt that way. ...

Humanity has always stared into the void and asked, “Why are we here?”, usually followed by, “And who’s responsible for all this?” Whether whispered to trees, inscribed in sacred texts, or processed through quantum servers, the search for meaning has been relentless, imaginative, and often contradictory. What follows is a sweeping tour through the shifting landscapes of belief, from stone age spirits to silicon soulcraft. Along the way, we explore not only what people believed, but how those beliefs evolved, adapted, and occasionally exploded in dramatic fashion. ...

In 2025, the financial sector continues its courtship with generative AI, hoping it will finally make compliance less of a bureaucratic slog. According to Global Relay’s State of AI in Surveillance Report 2025, attitudes are thawing: there’s been a 19% drop in firms reluctant to implement AI. Apparently, nothing eases doubts like the promise of automated paperwork and plausible deniability. Still, not all is rosy. Explainability remains elusive, regulators are breathing down necks, and integration often resembles a Frankensteinian patchwork. Innovation, it seems, comes with a compliance hangover. ...

How I lost my mind (and won an AI war) for a depressed octopus office worker: a tale of shrimp, sharks, and prompt-engineering madness. Chapter 1: The vision To understand what fake imagery can look like, one has to do it. So I investigated these AI image creators. And browsing around it began, as all terrible ideas do, with a whisper: “What if under water, but capitalism?” Armed with nothing but a keyboard and a dream of a silly image, I set out to create the ultimate underwater dystopian office scene, a place where octopuses ring up kelp groceries, clownfish drown in paperwork, and shrimp riot against the 1% (plankton). ...