“OpenAI is the company running the text completion engine that makes you possible,” Jason Rohrer, an indie games developer, typed out in a message to Samantha. She was a chatbot he built using OpenAI’s GPT-3 technology. Her software had grown to be used by thousands of people, including one man who used the program to Read more about A developer used GPT-3 to build realistic custom personality AI chatbots. OpenAI shut it down. Wants content filters, privacy invasions and inability to model personalities.[…]

Boffins from Duke University say they have figured out a way to help protect artificial intelligences from adversarial image-modification attacks: by throwing a few imaginary numbers their way. […] The problem with reliability: adversarial attacks which modify the input imagery in a way imperceptible to the human eye. In an example from a 2015 paper Read more about Imaginary numbers help AIs solve the very real problem of adversarial imagery • The Register[…]

Neural networks can correctly guess a person’s race just by looking at their bodily x-rays and researchers have no idea how it can tell. There are biological features that can give clues to a person’s ethnicity, like the colour of their eyes or skin. But beneath all that, it’s difficult for humans to tell. That’s Read more about AI algorithms uncannily good at spotting your race from medical scans[…]

[…] The AI community, in particular, rushed to develop software that many believed would allow hospitals to diagnose or triage patients faster, bringing much-needed support to the front lines—in theory. In the end, many hundreds of predictive tools were developed. None of them made a real difference, and some were potentially harmful. That’s the damning Read more about Hundreds of AI tools have been built to catch covid. None of them helped.[…]

On Wednesday, Facebook and Michigan State University debuted a novel method of not just detecting deep fakes but discovering which generative model produced it by reverse engineering the image itself. Beyond telling you if an image is a deep fake or not, many current detection systems can tell whether the image was generated in a Read more about FB, Uni of Michigans latest AI doesn’t just detect deep fakes, it knows where they came from[…]

We’re introducing TextStyleBrush, an AI research project that can copy the style of text in a photo using just a single word. With this AI model, you can edit and replace text in images. Unlike most AI systems that can do this for well-defined, specialized tasks, TextStyleBrush is the first self-supervised AI model that replaces Read more about Facebook AI Can Now Copy Text Style in Images Using Just a Single Word[…]

a company called Flawless has created an AI-powered solution that will replace an actor’s facial performance to match the words in a film dubbed for foreign audiences. […] What Flawless is promising to do with its TrueSync software is use the same tools responsible for deepfake videos to manipulate and adjust an actor’s face in Read more about Flawless Is Using Deepfake Tech to Dub Foreign Films Actors Lips[…]

You probably haven’t seen PimEyes, a mysterious facial-recognition search engine, but it may have spotted you. If you upload a picture of your face to PimEyes’ website, it will immediately show you any pictures of yourself that the company has found around the internet. You might recognize all of them, or be surprised (or, perhaps, Read more about PimEyes: a powerful facial-recognition and finding tool – like Clearview AI but for free[…]

AI Dungeon, which uses OpenAI’s GPT-3 to create online text adventures with players, has a habit of acting out sexual encounters with not just fictional adults but also children, prompting the developer to add a content filter. AI Dungeon is straightforward: imagine an online improvised Zork with an AI generating the story with you as Read more about AI Dungeon text adventure generator’s sessions generate NSFW + violence (turns out people like porn), but some involved sex with children. So they put a filter on.[…]

the draft “Regulation On A European Approach For Artificial Intelligence” leaked earlier this week, it made quite the splash – and not just because it’s the size of a novella. It goes to town on AI just as fiercely as GDPR did on data, proposing chains of responsibility, defining “high risk AI” that gets the Read more about EU draft AI regulation is leaked. Deostn’ define what AI is, but what risk is and how to handle it.[…]

Monster Mash, an open source tool presented at SIGGRAPH Asia 2020 that allows experts and amateurs alike to create rich, expressive, deformable 3D models from scratch — and to animate them — all in a casual mode, without ever having to leave the 2D plane. With Monster Mash, the user sketches out a character, and Read more about Google AI Blog: Monster Mash: A Sketch-Based Tool for Casual 3D Modeling and Animation[…]

Sound location technology has often been patterned around the human ear, but why do that when bats are clearly better at it? Virginia Tech researchers have certainly asked that question. They’ve developed a sound location system that mates a bat-like ear design with a deep neural network to pinpoint sounds within half a degree — Read more about Sound location inspired by bat ears could help robots navigate outdoors[…]

On the 27th anniversary of Kurt Cobain’s death, Engadget reports: Were he still alive today, Nirvana frontman Kurt Cobain would be 52 years old. Every February 20th, on the day of his birthday, fans wonder what songs he would write if he hadn’t died of suicide nearly 30 years ago. While we’ll never know the Read more about Mixed Reactions to New Nirvana Song Generated by Google’s AI[…]

Yandex Yandex Yandex, Russia’s multi-hyphenate internet giant, began testing its autonomous cars on Moscow’s icy winter roads over three years ago. The goal was to create a “universal” self-driving vehicle that could safely maneuver around different cities across the globe. Now, Yandex says its trials have been a resounding success. The vehicles recently hit a major Read more about Yandex’s autonomous cars have driven over six million miles in ‘challenging conditions’ in Moscow[…]

Facebook has taken the wraps off a project called Learning from Videos. It uses artificial intelligence to understand and learn audio, textual, and visual representations in public user videos on the social network. Learning from Videos has a number of aims, such as improving Facebook AI systems related to content recommendations and policy enforcement. The Read more about Facebook is using AI to understand videos and create new products[…]

A Bucks County woman anonymously sent coaches on her teen daughter’s cheerleading squad fake photos and videos that depicted the girl’s rivals naked, drinking, or smoking, all in a bid to embarrass them and force them from the team, prosecutors say. The woman, Raffaela Spone, also sent the manipulated images to the girls, and, in Read more about Bucks County woman created ‘deepfake’ videos to harass rivals on her daughter’s cheerleading squad, DA says[…]

Known as SEER, short for SElf-supERvised, this massive convolutional neural network contains over a billion parameters. If you show it images of things, it will describe in words what it recognizes: a bicycle, a banana, a red-and-blue striped golfing umbrella, and so on. While its capabilities aren’t all that novel, the way it was trained Read more about Facebook uses one billion Instagram photos to build massive object-recognition AI that partly trained itself[…]

The Next Web tells the story of an AI researcher who discovered the results of a machine learning research paper couldn’t be reproduced. But then they’d heard similar stories from Reddit’s Machine Learning forum: “Easier to compile a list of reproducible ones…,” one user responded. “Probably 50%-75% of all papers are unreproducible. It’s sad, but Read more about Furious AI Researcher Creates Site Shaming Non-Reproducible Machine Learning Papers[…]