European diplomats reveal the'tough guy' US negotiator leading the charge on Greenland: 'He hates us' A former Marine was unmasked as the'Zodiac killer' after a bombshell new investigation. I suffered a horrific side effect of a drug used by millions of Americans... and my face'melted off' The ICE backlash isn't the end of Kristi Noem It may have just saved her career FedEx driver accused of abducting and killing little girl while delivering her Christmas present says he shouldn't be executed because he has autism Senator accused of steamy affair with her bodyguard in bombshell lawsuit from his WIFE: 'Bring MDMA so I can guide you' Hunter Biden's stripper baby mama asks for him to be ARRESTED over claims he is still failing to pay her child support Family of Tyler Robinson's transgender lover speaks out for first time since Charlie Kirk assassination and reveals where he is now Dodgers agree with Kyle Tucker'on $240m deal' as champs beat out Mets, Blue Jays for top free agent World's sexiest hockey star and OnlyFans model Mikayla Demaiter spills out of little dress in latest post Nicole Richie addresses her daughter's new identity after unveiling transformation on her 18th birthday Trump gushes over'young beautiful' hockey players and teases rebranding of famed presidential wall Trump's AG secretary sparks mockery with tone-deaf $3 dinner advice as food costs soar Karoline Leavitt reveals the thinking behind Trump's call to cancel elections Microsoft's paperclip mascot delights users as it returns - 18 years after it was axed from Office It was the original virtual assistant, released years before Siri, Alexa, and Bixby. Now, almost two decades after it was axed, Microsoft's Clippy is officially back. The friendly anthropomorphic paper clip has been spotted as an Easter egg in Microsoft's latest announcement about a new AI companion called Mico. Mico - whose name is a nod to Microsoft Copilot - is a small blob with a friendly smiley face, and doesn't look much like its much-loved predecessor.

Now Microsoft Copilot has a face, with reactions to what you tell it. Microsoft is showing off how Copilot could "look": as an anthropomorphic teardrop of sorts, with expressions that react to your interactions in real time. The discovery was reported Friday by The Verge. Right now, the new look of Copilot is being presented to a limited number of users. Microsoft's web page shows how to discover if you have it: by opening Copilot, clicking the "mic" icon to launch verbal interactions with Copilot, then clicking the "gear," or settings, icon.

In the last few days, AI-generated text-to-video has taken off, with Google's lifelike Veo 3 model generating video and dialogue that approach realism. Now Microsoft has entered the fray, by offering the video-generation portion for free with Bing Video Creator. Unfortunately, the new Bing Video Creator is accompanied by a cadre of compromises, although the premise is still true: Download the Bing mobile application for your smartphone, and you can generate 10 "fast" 5-second creations for free, although you'll have to pay for more with credits in Microsoft's system or just wait longer. Here's how Bing Video Creator works, and what works…and what doesn't. Microsoft's free Bing app for your smartphone is essentially a Start menu for all of Microsoft's mobile services.

In my 15 years of reviewing tech, this pellet-firing, story-telling, pretend-urinating robot attack dog is easily the strangest thing I've ever tested. Arriving in a slightly battered box following a series of questionable decisions on Temu, I'm immediately drawn to the words "FIRE BULLETS PET" emblazoned on the box. And there, resting behind the protective plastic window with all the innocence of a newborn lamb, lies the plastic destroyer of worlds that my four-and-a-half-year-old immediately (and inexplicably), names Clippy. Clippy is a robot dog. And he (my son assures me that it's a he), is clearly influenced by the remarkable, and somewhat terrifying, robotic canine creations of Boston Dynamics--a renowned company that's leading the robot revolution.

Microsoft deleted the over-eager office assistant Clippy some 17 years ago, but the vision for an friendly and optimistic AI helper has apparently found its way out of the Recycle Bin. The company is overhauling Copilot, the text-based artificial intelligence tool bundled with Windows and other software, with the addition of vision, voice, and the ability to solve more complex problems--along with a more "encouraging" personality. "We really are at this amazing kind of transition point," says Mustafa Suleyman, CEO of Microsoft AI. "AI companions now see what we see, hear what we hear, and speak in the same language that we use to communicate with one another." Copilot has so far met with a mixed response, with some users complaining of lag or vagueness in its responses, but Microsoft is betting that the tool could eventually become an integral part of Windows, Office, and beyond. By incorporating OpenAI's AI algorithms into software that is used by hundreds of millions of people, the company is also at the forefront of testing the potential for AI to boost productivity in office work.

Recent advances in zero-shot image recognition suggest that vision-language models learn generic visual representations with a high degree of semantic information that may be arbitrarily probed with natural language phrases. Understanding an image, however, is not just about understanding what content resides within an image, but importantly, where that content resides. In this work we examine how well vision-language models are able to understand where objects reside within an image and group together visually related parts of the imagery. We demonstrate how contemporary vision and language representation learning models based on contrastive losses and large web-based data capture limited object localization information. We propose a minimal set of modifications that results in models that uniquely learn both semantic and spatial information. We measure this performance in terms of zero-shot image recognition, unsupervised bottom-up and top-down semantic segmentations, as well as robustness analyses. We find that the resulting model achieves state-of-the-art results in terms of unsupervised segmentation, and demonstrate that the learned representations are uniquely robust to spurious correlations in datasets designed to probe the causal behavior of vision models.

When Microsoft debuted its AI-powered Bing Chat, the obvious point of comparison was Clippy, the virtual assistant users loved and/or loathed in Microsoft Office 97. Now Clippy is back, in a new, unauthorized app that somehow has made it onto the Microsoft Store. Clippy by Firecube uses Microsoft's animated paper clip, Clippy (known as Clippit to purists), as a front end for ChatGPT 3.5, the AI chatbot developed by OpenAI. Although the app refers to Clippy by name, the full text description of the app immediately identifies it as "Not by Microsoft" to presumably fend off any lawyers that might be sniffing about the app. Firecube has a good reputation as a developer who looks deeply into new Windows code for unpublicized features.

Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that require an understanding of the user, such as mastering human comedy writing strategies. This paper explores humor generation using GPT-3 by modeling human comedy writing theory and leveraging step-by-step thinking instructions. In addition, we explore the role of cognitive distance in creating humor.

Recommender systems play an important role in many content platforms. While most recommendation research is dedicated to designing better models to improve user experience, we found that research on stabilizing the training for such models is severely under-explored. As recommendation models become larger and more sophisticated, they are more susceptible to training instability issues, i.e., loss divergence, which can make the model unusable, waste significant resources and block model developments. In this paper, we share our findings and best practices we learned for improving the training stability of a real-world multitask ranking model for YouTube recommendations. We show some properties of the model that lead to unstable training and conjecture on the causes. Furthermore, based on our observations of training dynamics near the point of training instability, we hypothesize why existing solutions would fail, and propose a new algorithm to mitigate the limitations of existing solutions. Our experiments on YouTube production dataset show the proposed algorithm can significantly improve training stability while not compromising convergence, comparing with several commonly used baseline methods.

Until last week, the response from the sector on the rise of generative AI was focused on thinking about Chat-GPT. Based on GPT-3, the version of OpenAI's large language model that most have played with does not have access to the live internet, cannot access information updated after 2021, and has been quaintly relying on "thumbs up / thumbs down" validation from users to know, and then learn, if a response is correct. It has no internet lookup function, can't access search engines or library databases, and can't source references. If it doesn't know an answer, unless you use the right prompts, it just makes it up – in a pretty convincing manner. As such much of the debate has focussed in two directions – on detection, on the basis that students might use it to cheat, and on integration, on the basis that teaching and assessing students on using it within academic work is inevitable and/or desirable.