Fox News host Greg Gutfeld and guests discuss the reportedly woke answers from Google's AI chatbot Gemini on'Gutfeld!' Google is making a push to ensure its AI, Gemini, is tightly integrated with Android systems by granting it access to core apps like WhatsApp, Messages, and Phone. The rollout of this change started on July 7, 2025, and it may override older privacy configurations unless you know how to disable Gemini on Android. Here's what you need to know. Sign up for my FREE CyberGuy Report Get my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you'll get instant access to my Ultimate Scam Survival Guide - free when you join my CYBERGUY.COM/NEWSLETTER.

Fox News chief political anchor Bret Baier investigates concerns that artificial intelligence is becoming too advanced on'Special Report.' Every tattoo starts with a single black dot. That tiny mark is the base for every design, no matter how complex. And now, thanks to a new AI tattoo machine, that dot is more perfect than ever. Welcome to the future of tattooing.

FOX Nation takes viewers back to the '90's in their new series, 'Who Can Forget? The Vera C. Rubin Observatory has just released its first images, captured by the world's most powerful digital camera. Located on Cerro Pachón in Chile, this camera is set to transform how we see the universe. After years of planning and building, the observatory is ready to deliver stunning, ultra-detailed views of the night sky. Sign up for my FREE CyberGuy Report Get my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox.

They went viral, amassing more than 1m streams on Spotify in a matter of weeks, but it later emerged that hot new band the Velvet Sundown were AI-generated – right down to their music, promotional images and backstory. The episode has triggered a debate about authenticity, with music industry insiders saying streaming sites should be legally obliged to tag music created by AI-generated acts so consumers can make informed decisions about what they are listening to. Initially, the "band", described as "a synthetic music project guided by human creative direction", denied they were an AI creation, and released two albums in June called Floating On Echoes and Dust And Silence, which were similar to the country folk of Crosby, Stills, Nash & Young. Things became more complicated when someone describing himself as an "adjunct" member told reporters that the Velvet Sundown had used the generative AI platform Suno in the creation of their songs, and that the project was an "art hoax".

Generating expressive audio performances from music scores requires models to capture both instrument acoustics and human interpretation. Traditional music performance synthesis pipelines follow a two-stage approach, first generating expressive performance MIDI from a score, then synthesising the MIDI into audio. However, the synthesis models often struggle to generalise across diverse MIDI sources, musical styles, and recording environments. To address these challenges, we propose MIDI-VALLE, a neural codec language model adapted from the VALLE framework, which was originally designed for zero-shot personalised text-to-speech (TTS) synthesis. For performance MIDI-to-audio synthesis, we improve the architecture to condition on a reference audio performance and its corresponding MIDI. Unlike previous TTS-based systems that rely on piano rolls, MIDI-VALLE encodes both MIDI and audio as discrete tokens, facilitating a more consistent and robust modelling of piano performances. Furthermore, the model's generalisation ability is enhanced by training on an extensive and diverse piano performance dataset. Evaluation results show that MIDI-VALLE significantly outperforms a state-of-the-art baseline, achieving over 75% lower Frechet Audio Distance on the ATEPP and Maestro datasets. In the listening test, MIDI-VALLE received 202 votes compared to 58 for the baseline, demonstrating improved synthesis quality and generalisation across diverse performance MIDI inputs.

Many document types use intrinsic, convention-driven structures that serve to encode precise and structured information, such as the conventions governing engineering drawings. However, state-of-the-art approaches treat document recognition as a mere computer vision problem, neglecting these underlying document-type-specific structural properties, making them dependent on sub-optimal heuristic post-processing and rendering many less frequent or more complicated document types inaccessible to modern document recognition. We suggest a novel perspective that frames document recognition as a transcription task from a document to a record. This implies a natural grouping of documents based on the intrinsic structure inherent in their transcription, where related document types can be treated (and learned) similarly. We propose a method to design structure-specific inductive biases for the underlying machine-learned end-to-end document recognition systems, and a respective base transformer architecture that we successfully adapt to different structures. We demonstrate the effectiveness of the so-found inductive biases in extensive experiments with progressively complex record structures from monophonic sheet music, shape drawings, and simplified engineering drawings. By integrating an inductive bias for unrestricted graph structures, we train the first-ever successful end-to-end model to transcribe engineering drawings to their inherently interlinked information. Our approach is relevant to inform the design of document recognition systems for document types that are less well understood than standard OCR, OMR, etc., and serves as a guide to unify the design of future document foundation models.

Generative Large Language Models (LLMs)inevitably produce untruthful responses. Accurately predicting the truthfulness of these outputs is critical, especially in high-stakes settings. To accelerate research in this domain and make truthfulness prediction methods more accessible, we introduce TruthTorchLM an open-source, comprehensive Python library featuring over 30 truthfulness prediction methods, which we refer to as Truth Methods. Unlike existing toolkits such as Guardrails, which focus solely on document-grounded verification, or LM-Polygraph, which is limited to uncertainty-based methods, TruthTorchLM offers a broad and extensible collection of techniques. These methods span diverse tradeoffs in computational cost, access level (e.g., black-box vs white-box), grounding document requirements, and supervision type (self-supervised or supervised). TruthTorchLM is seamlessly compatible with both HuggingFace and LiteLLM, enabling support for locally hosted and API-based models. It also provides a unified interface for generation, evaluation, calibration, and long-form truthfulness prediction, along with a flexible framework for extending the library with new methods. We conduct an evaluation of representative truth methods on three datasets, TriviaQA, GSM8K, and FactScore-Bio. The code is available at https://github.com/Ybakman/TruthTorchLM

Fox News chief political anchor Bret Baier investigates concerns that artificial intelligence is becoming too advanced on'Special Report.' Every day, customers reach out to companies. They want to buy something, ask about an order, return a product or fix a payment issue. In the past, that usually meant talking to a real person on the phone or through a website. More often, the first reply comes from a chatbot.

Fox News contributor Raymond Arroyo sounds off on Rosie The Pivoter ODonnell for her latest criticism of the Trump administration and the NEA teacher of the years admission that the job is deeply political. President Donald Trump has escalated his long-running feud with Rosie O'Donnell. On Saturday, Trump, 79, floated the idea of revoking the 63-year-old comedian and actress's U.S. citizenship following her move to Ireland earlier this year. "Because of the fact that Rosie O'Donnell is not in the best interests of our Great Country, I am giving serious consideration to taking away her Citizenship," Trump wrote in a post to his social media platform Truth Social. "She is a Threat to Humanity, and should remain in the wonderful Country of Ireland, if they want her. GOD BLESS AMERICA!" he added.

RealSense, a depth-camera technology that basically disappeared within Intel, has returned as a separate company. The company has spun out from Intel and raised 50 million in funding. The company will be led by Nadav Orbach, Intel's former vice president and general Manager for the Incubation and Disruptive Innovation group. RealSense plans to address "increased demand for humanoid and autonomous mobile robotics (AMRs), as well as AI-powered access control and security solutions," the company said. RealSense flourished, so to speak, about a decade ago, when its depth-camera technology was competing with the Microsoft Kinect system.