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Getty / Futurism Users of Microsoft’s Windows have grown frustrated with the company’s insistence on stuffing its Copilot AI chatbot into almost every corner of the widely-used operating system, earning it the pejorative nickname of “Microslop.” That’s despite Microsoft admitting in its own Copilot terms of service that the AI shouldn’t be relied upon for virtually any important work. “Copilot is for entertainment purposes only,” the lengthy document reads

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Huzzah! A mass psychosis inducing machine is making money out the wazoo by bombarding users with highly-targeted corporate messages. According to a new Axios scoop, OpenAI has already generated $100 million in annual recurring revenue from stuffing advertisements into ChatGPT in just two months, suggesting that its big bet on leveraging its users’ deeply personal conversations to offer hy

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Corporations are rapidly embracing AI to churn out mountains of code. Outwardly, this is presented as a revolution in productivity. But a behind the scenes look in The New York Times paints a slightly different, and somewhat comic, picture. Beleaguered programmers are being saddled with more code than what they know what to do with, while their employers struggle to find the best way to g

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images A new survey from Epoch AI and Ipsos has found that one in five full-time American workers say AI has already taken over parts of their job, in the latest piece of data adding fuel to the burning debate over AI automation. The poll, which surveyed 2,000 US adults, found that about half of all respondents used AI in the past week for either personal or work reasons. Among full-time workers

“No other human activity poses this level of danger,” said ex-Anthropic researcher Jacob Coxon in a Tuesday post on X about the alleged irresponsibility of companies like his now-former employer. To be clear, the category “dangerous human activities,” if expansively defined, would have to include an ongoing war in which one of the belligerents possesses the world’s largest nuclear arsenal. Another example of a dangerous and ongoing human activity would hav

In the past 24 hours, Silicon Valley has erupted in bitter debate over what may seem from the outside to be an esoteric, trivial issue: the solution to a longstanding math problem which, despite its importance among academics, doesn’t have any clear practical applications. And yet it raises urgent new questions about the nature of competition—not only between humans, but also between humans and machines—in the age of AI. On Tuesday morning, OpenAI publishe

Apple had a lot to talk about during its “Surprise and Shine” product launch event on Wednesday: a new CEO, revamped AirPods, an Apple Watch that can record your conversations, and of course, a much-anticipated foldable iPhone. The only thing missing was grandiose proclamations about how AI is going to revolutionize everything in the world, and maybe even kill us all. Not so long ago, believing such a thing would’ve been considered at the very least fringe

Figure outlining the team's evaluation methodology aimed at catching the convergence of simulated personalities toward human personalities. Credit: Bai et al. After the advent of ChatGPT, the use of large language models (LLMs) has become increasingly widespread worldwide. LLMs are artificial intelligence (AI) systems trained on large sets of written texts, which can rapidly process queries in various languages and generate responses that sometimes appear

MTJs for binary neuromorphic computing. Credit: Communications Engineering (2025). DOI: 10.1038/s44172-025-00479-2 Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive training? Neuromorphic computing might be the answer. This emerging technology features brain-inspired computer hardware that could perform AI tasks much more efficiently with far fewer training computat

An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one diffusive memristor and one resistor on top of a transistor. The photograph on the cover shows the chip of an array of these integrated neurons, which are fabricated in the university's cleanroom and have an active region of around 4 μm2 for each neuron. Credit:

Concept diagram of software testing and AI red team testing. Credit: Electronics and Telecommunications Research Institute (ETRI) As artificial intelligence (AI) technology rapidly pervades our lives and industries, ensuring its safety and trustworthiness is a global challenge. In this context, Korean researchers are gaining traction by leading the development of two key international standards. The Electronics and Telecommunications Research Institute (ET

Colin Balfour, a sophomore studying robotics engineering, flies a small drone at a laboratory at the Worcester Polytechnic Institute, Monday, Oct. 20, 2025, in Worcester, Mass. Credit: AP Photo/Charles Krupa Don't be fooled by the fog machine, spooky lights and fake bats: the robotics lab at Worcester Polytechnic Institute lab isn't hosting a Halloween party. Instead, it's a testing ground for tiny drones that can be deployed in search and rescue missions

A convergence unit in retinal topography extracted from Ref [65]. Numbers on this figure are chosen for the purpose of illustrating the converging nature of the topography. On average, 50 photoreceptors are connected to a single bipolar cell. Credit: Neurocomputing (2025). DOI: 10.1016/j.neucom.2025.131740 Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the University of Surrey that tak

The workflow of DeepAR developed in this study. Credit: Water Resources Research (2025). DOI: 10.1029/2025wr040173 A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an international team of scientists. The technique, which combines physics knowledge with advanced artificial intelligence (AI), aims to help decision-makers better prepare for extreme weather and climate impacts. By integrating deep l

The circle with the chip symbolizes SpectroGen, with the connecting threads depicting the process of generating a material’s spectrum. Credit: Massachusetts Institute of Technology Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quick

Published on April 20, 2026 at 09:29 Commenter 0 𝕏 Print © 01net Within 24 hours, three senior executives of OpenAI have resigned. These simultaneous departures occur during an internal restructuring. OpenAI, the startup behind ChatGPT, is experiencing a wave of departures. The generative AI giant has lost three senior executives within 24 hours. On the same day, Kevin Weil, Chief Product Officer, Bill Peebles, head of the Sora generator, and the Chief Tec

November 11th is "Caregiver's Day." In the face of an aging population, the caregiving industry is confronting a serious shortage of personnel. The younger workforce that is supposed to take on caregiving services is decreasing, and dissatisfaction with the workload and wage levels is accelerating turnover. In an effort to address these issues, new technologies that support the caregiving frontline are being developed and introduced. Enactic, a start-up co

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Think something weird is up with your reflection in the mirror? Allow Grok to interest you in some 15th century anti-witchcraft reading. A new study argues that certain frontier chatbots are much more likely to inappropriately validate users’ delusional ideas — a result that the study’s authors say represents a “preventable” technological failure that could be curbed by design choices. “D

Getty / Futurism The advent of generative AI continues to undermine the very concept of copyright, from entire books shamelessly ripping off authors to tasteless AI slop depicting beloved characters going viral on social media. The sin is foundational: all today’s popular AI tools were built by pillaging copyrighted material without permission. Even software isn’t safe. As 404 Media reports, a new tool dubbed Malus.sh — pronounced “malice,” to give a subtl

Such frames were placed in living rooms or set aside separate rooms, often on the upper floor, with large windows to let in daylight. There were also workshops in attached buildings or separate structures in the yard, but in general, housing was adapted to this kind of production: the work area occupied part of the house. The sizes of the machines varied and, by today's standards, were enormous, ranging from one to two meters in each dimension.A costly kni