createLiveAI

📈 VentureBeat AI

Nov 26, 2025

Black Forest Labs launches Flux.2 AI image models to challenge Nano Banana Pro and Midjourney

Black Forest Labs has announced the release of FLUX.2, an advanced image generation and editing system designed for production-grade creative workflows, featuring multi-reference conditioning, higher-fidelity outputs, and improved text rendering. The release includes a fully open-source Flux.2 VAE (Variational Autoencoder) under the Apache 2.0 license, which plays a critical role in compressing images into latent space for high-quality reconstructions, enabling 4-megapixel editing and more efficient training across multiple model variants. In addition to the open-source VAE, Black Forest Labs offers several proprietary models

Claude Google AI +2

The Hacker News

Ethics

📄 The Hacker News

Nov 25, 2025

JackFix Uses Fake Windows Update Pop-Ups on Adult Sites to Deliver Multiple Stealers

Cybersecurity researchers have identified a sophisticated phishing campaign that employs fake adult websites, such as cloned versions of xHamster and PornHub, combined with ClickFix lures to trick users into executing malicious commands. The campaign disguises these commands as critical Windows security updates, likely distributed through malvertising on compromised or fake adult sites, increasing its potential reach and effectiveness. This development highlights the evolving tactics used by cybercriminals to exploit user trust and technical vulnerabilities, emphasizing the need for heightened vigilance and improved security measures against such targeted social engineering attacks.

Transformers

📄 Towards Data Science

Nov 25, 2025

Ten Lessons of Building LLM Applications for Engineers

Over two years of developing large language model (LLM) applications tailored for engineering professionals, practical insights have been gathered on effective workflows, structural design, and evaluation strategies. These field notes highlight the importance of close collaboration with domain experts to optimize LLM deployment, emphasizing iterative development and rigorous assessment to ensure relevance and accuracy in engineering contexts.

📈 VentureBeat AI

Nov 25, 2025

OpenAI now lets enterprises choose where to host their data

OpenAI has expanded its data residency options for ChatGPT and its API, allowing enterprise users to store and process data within specific regions such as Europe, the UK, US, Canada, Japan, South Korea, Singapore, India, Australia, and the UAE. This development addresses key compliance challenges, particularly for global organizations seeking to adhere to local data laws like GDPR, by enabling data at restsuch as conversations, uploaded files, and custom GPTsto be stored within chosen jurisdictions. This regional data processing capability enhances enterprise control over sensitive information and facilitates broader deployment of ChatGPT at scale, with plans

GPT

📄 Towards Data Science

Nov 24, 2025

A Hands-On Guide to Anthropics New Structured Output Capabilities

Anthropic has introduced enhanced structured output capabilities in its AI models Claude Sonnet 4.5 and Opus 4.1, enabling developers to generate precise JSON and typed data formats. These advancements facilitate more reliable and standardized data extraction from large language models, improving integration and automation in AI-driven applications.

Claude

📄 Towards Data Science

Nov 24, 2025

LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models

A recent guide outlines a methodology for implementing AI quality control by leveraging large language models (LLMs) to evaluate and monitor the performance of AI systems. This approach utilizes LLMs' advanced natural language understanding capabilities to systematically assess model outputs, identify errors, and ensure consistency, thereby enhancing the reliability and robustness of AI deployments.

NLP

AI News

Technology

📄 AI News

Nov 24, 2025

ZAYA1: AI model using AMD GPUs for training hits milestone

Zyphra, AMD, and IBM have successfully trained ZAYA1, a large-scale Mixture-of-Experts foundation model built entirely on AMD's Instinct MI300X GPUs, marking a significant milestone in AI infrastructure independence from NVIDIA. This achievement demonstrates that enterprise-grade AI training can be effectively supported by AMD's hardware and networking solutions, utilizing Pensando networking and ROCm software within IBM Cloud's infrastructure, and achieving performance comparable or superior to established models in reasoning, mathematics, and coding tasks. The deployment of AMD's MI300X GPUs, each equipped with 192GB of high-band

NVIDIA

AI News

📄 AI News

Nov 24, 2025

Qwen AI hits 10m+ downloads as Alibaba disrupts the AI market

Alibaba's Qwen AI app has achieved over 10 million downloads within its first week of public beta, surpassing early adoption rates of competitors like ChatGPT, Sora, and DeepSeek, highlighting a significant shift in AI commercialization strategies. Unlike subscription-based models employed by companies such as OpenAI and Anthropic, Alibaba offers Qwen as a free, integrated AI tool embedded within its ecosystem, serving both consumer and enterprise needs with "agentic AI" capabilities that enable cross-scenario task execution across e-commerce, mapping, and local business services. The technical foundation of Qwen, which Alibaba fully

GPT Claude

📈 VentureBeat AI

Nov 24, 2025

Microsofts Fara-7B is a computer-use AI agent that rivals GPT-4o and works directly on your PC

Microsoft has unveiled Fara-7B, a 7-billion parameter model designed as a Computer Use Agent (CUA) capable of executing complex tasks directly on a users device, thereby enhancing privacy and reducing latency. This small-scale model achieves state-of-the-art performance for its size, enabling organizations to automate sensitive workflows such as managing internal accounts or processing confidential data without relying on cloud-based systems, addressing key security concerns in enterprise environments. Fara-7B distinguishes itself through its visual perception approach, navigating web interfaces by analyzing pixel-level screenshots rather than relying on browser accessibility trees, which allows it

GPT Meta AI +2

📄 Towards Data Science

Nov 23, 2025

Learning Triton One Kernel at a Time:Softmax

A new softmax kernel developed using Triton offers a significant advancement in speed and readability, optimized for integration with PyTorch. This kernel enhances the efficiency of softmax computations, which are critical in neural network training and inference, by providing a streamlined, high-performance implementation that simplifies deployment and accelerates model performance.

Deep Learning

📄 Towards Data Science

Nov 23, 2025

Your Next Large Language Model Might Not Be Large After All

A 27-million-parameter language model has demonstrated superior performance on reasoning tasks, surpassing larger models such as DeepSeek R1, o3-mini, and Claude 3.7. This development challenges the assumption that larger models are inherently more capable, highlighting that smaller, more efficient models can achieve competitive or even superior results in complex reasoning benchmarks.

Claude