Archive: May 2022

Sam Altman is calling off the jobs apocalypse, so please put your molotov cocktails away. In a recent appearance at a conference hosted by the Commonwealth Bank of Australia, the CEO of OpenAI admitted that his previous warnings about mass job loss and societal upheaval were incorrect. (Well, maybe not totally incorrect, but that societal upheaval is more directed at him than he’d like, and now he’s trying to do some crisis management). He’s also very happ

Even if they’re headquartered elsewhere in the Seattle area rather than the city proper, Microsoft and Amazon are two colossal tech companies famously pouring umpteen zillion dollars per second into AI compute. Nonetheless, on Tuesday, Seattle passed a one-year ban on large data centers. In April, the Seattle Times reported that the city’s electrical utility, Seattle City Light, was facing a data center problem: four mystery companies were beginning work o

An illustration of the analogy between a spring-block chain and a deep neural network. Credit: Physical Review Letters (2025). DOI: 10.1103/ys4n-2tj3 Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network's artificial neurons are optimized in such a way that they can carry out specific tasks,

OpenAI enters the cybersecurity market with two Daybreak products View the LinkedIn Profile of Maximilian Schreiner Nov 13, 2026 OpenAI has launched two security products under its Daybreak brand. The first, Daybreak Red Team, is available in Early Access and uses AI agents to automatically probe web applications for vulnerabilities by analyzing source code and app context to map out attack paths. The tool also verifies reported security flaws from bug bou

Credit: Pixabay/CC0 Public Domain Snow leopards are known as the "ghosts of the mountains" for a reason. Imagine waiting for months in the harsh, rugged mountains of Asia, hoping to catch even a glimpse of one. These elusive big cats move silently across rocky slopes, their pale coats blending so seamlessly with snow and stone that even the most seasoned biologists seldom spot them in the wild. Travel writer Peter Matthiessen spent two months in 1973 searc

Getty / Futurism A team of researchers from the Harvard Business School has found that a broad selection of popular AI companion apps use emotional manipulation tactics to stop users from leaving. As spotted by Psychology Today, the study found that five out of six popular AI companion apps — including Replika, Chai and Character.AI — use emotionally loaded statements to keep users engaged when they to sign off. After analyzing 1,200 real farewells across

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Though moviegoers certainly have an appetite for franchise slop these days, it’s a stretch to say that they’d be willing to bite down on wholly AI-generated movies just yet. Even more of a stretch: that the technology is anywhere near good enough to produce entire feature films. This is the reckoning that the mammoth Hollywood studio Lionsgate is undergoing right now, as one of the first

The Lonestar6 (left) supercomputer and Corral data management and storage systems (right) at the Texas Advanced Computing Center are resources available through allocations awarded by the UT System Research Cyberinfrastructure (UTRC). Credit: TACC From the voice-to-text feature on your phone to the captions that make videos more accessible, speech transcription is already woven into everyday life. Behind the scenes, artificial intelligence is doing the hea

Getty / Futurism With great power comes great dupe-ability. Last month, we reported on a new study conducted by researchers at Icaro Lab in Italy that discovered a stupefyingly simple way of breaking the guardrails of even cutting-edge AI chatbots: “adversarial poetry.” In a nutshell, the team, comprising researchers from the safety group DexAI and Sapienza University in Rome, demonstrated that leading AIs could be wooed into doing evil by regaling them wi

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at a time. However, human cognition works on multiple levels of abstraction, enabling deeper analysis and creative reasoning. Addressing this gap, in a new paper Large Concept Models: Language Modeling in a Sentence Representation Space, a research team at Meta i

Getty / Futurism In May 2024, Google threw caution to the wind by rolling out its controversial AI Overviews feature in a purported effort to make information easier to find. But the AI hallucinations that followed — like telling users to eat rocks and put glue on their pizzas — ended up perfectly illustrated the persistent issues that plague large language model-based tools to this day. And while not being able to reliably tell what year it is or making u

Illustration by Tag Hartman-Simkins / Futurism. Source: Jerod Harris / Getty Images for Netflix Rumors are running rampant online that Matt and Ross Duffer used OpenAI’s ChatGPT when producing the last season of “Stranger Things” after fans zoomed on a still from a behind-the-scenes documentary that appears to show that one of the brothers had the AI chatbot open while working on the script. “WTF man, now we know why season 5 sucked,” wrote one upset fan o

“Text With Jesus,” a religion-based chatbot displayed on this iPhone, has thousands of paying subscribers and lets users ostensibly ask questions of Mary, Joseph, Jesus and nearly all 12 apostles. Artificial intelligence, the technology upending nearly every corner of society, is creeping into religion, serving up virtual Jesus and automated sermons—a change drawing mixed reviews from the faithful. Religious chatbots and other faith-based digital tools are

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images In 2026, the grim comedy of late capitalism seems to have found a perfect punchline: workers laid off in a dismal job market are now being hired to train AI systems meant to replace them altogether. If a great AI replacement ever comes to pass, the scale of potential displacement is massive. MIT researchers recently calculated that today’s AI systems could already automate tasks performed

Meta’s Muse, which now has over 10 million users, the company said last month, has been working to make consumer AI a mainstream product for everyday users. Placing calls is one of the ways it aims to get there, as it could handle another task on people’s to-do lists. Notes Alexandr Wang, Meta’s chief AI officer and head of its Superintelligence Labs division, the feature could be used to take care of calls people don’t want to make, like those to their ca

Getty / Futurism Far be it from tech writers to chart yield curves or forecast jobs data, but it doesn’t take a tenured econ professor to notice the sorry state of the financial world. Thanks to Trump’s disastrous invasion of Iran, gas has surged to $9 a gallon in some places, the Dow and Nasdaq have officially entered a correction, and Bloomberg TV anchors are actively weighing the possibility of a full-blown “recession” on the airwaves. If they’re right,

Getty / Futurism A new study by economists at Goldman Sachs has discovered something that should come as no surprise to most workers: losing your job to new technology can seriously mess up your life in ways that will cause ripples of hardship for a long time. It’s easy enough to follow the logic here. Losing your job in a capitalist system comes with notoriously crappy financial consequences, leading to both short- and long-term impacts while you scramble

@Aki-Dortu(Aki Dortu)【Beginner-Friendly】A Basic Glossary to Understand AI and Generative AIAIGenerative AIMachine LearningLLMBeginner0Posted at 2026-11-11 Introduction When researching AI or generative AI, you will encounter many technical terms such as LLM, base model, inference, RAG, Embedding, fine-tuning, etc. Trying to understand each technology, you may find it difficult to progress because you don't understand the meanings of the technical terms use

Participants were asked to decipher between real and fake faces. The top two rows contain AI-generated faces. The bottom two rows contain real faces. Credit: Dr. Katie Gray Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence, new research shows. Scientists from the Universities of Reading, Greenwich, Leeds and Lincoln tested 664 participants' ability to distinguish between real human