How we’re bringing AI image verification to the Gemini app
Our new Gemini app feature allows you to verify Google AI images and determine whether content was created or edited by AI.
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Method teaches generative AI models to locate personalized objects
Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is easy for the dog-owner to do while onsite. But if someone wants to use a generative AI model like GPT-5 to monitor their pet while they are at work, the model could fail at this basic task. Vision-language models like GPT-5 often excel at recognizing general objects, like a dog, but they perform poorly at locating […]
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NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA today released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation […]
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America’s Children Are Unwell, Says NYT—School Choice Should be Part of the Solution.
Colleen Hroncich When millions of children struggle to sit still, focus, and conform to rigid classroom expectations, it’s become an epidemic of ADHD and other disorders. The New York Times is beginning to consider what should have been obvious all along: Maybe the problem isn’t the children. Others, including my colleague Kerry McDonald, have been raising these concerns for years. As Kerry notes, Boston College psychology Professor Peter Gray has described ADHD as a “failure to adapt to […]
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New OpenAI Image Model Reportedly Spotted in the Wild
At this point, Google and OpenAI are battling it out neck to neck in terms of AI models. Earlier today, we reported that Google is finalizing an affordable image generation model that offers somewhat similar image quality as the Nano Banana Pro model. Here, the image generation model in question is the Nano Banana 2 Flash, and it will reportedly be powered by Gemini 3 Flash. OpenAI is reportedly testing a new AI image model Now, OpenAI appears […]
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I Let an AI Take Over My Downloads Folder… and It Actually Worked
Author(s): Manash Pratim Originally published on Towards AI. A tiny local language model now organizes my files in real time for free, offline, and with zero rules. My Downloads folder used to feel like a crime scene. iMAGE GENERATED USING AIThe article discusses the author’s experience with automating the organization of their Downloads folder using a local AI agent that analyzes new files and categorizes them appropriately without any predetermined rules. The system consists of a few components […]
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Top 5 Small AI Coding Models That You Can Run Locally
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
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New prediction model could improve the reliability of fusion power plants
Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun’s core and push the plasma’s atoms to fuse and release energy. If tokamaks can operate safely and efficiently, the machines could one day provide clean and limitless fusion energy. Today, there are a number of experimental tokamaks in operation around the world, with more underway. Most are small-scale research […]
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OpenAI fires back at Google with GPT-5.2 after ‘code red’ memo
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator.
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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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