
Google DeepMind has released two AI models: Nano Banana 2 Lite for fast and cheap image generation, and Gemini Omni Flash for video generation and editing. Nano Banana 2 Lite delivers images in 4 seconds at $0.034 per 1,000 images, while Omni Flash generates high-quality videos at $0.10 per second of output. These models are designed to work together, allowing developers to quickly generate images and then animate them into videos, making it easier to build multimedia applications with rapid iteration.

Google Research introduced TabFM, a foundation model built for tabular data. TabFM performs classification and regression without dataset-specific training. Every prediction comes from a single forward pass. The model reframes tabular prediction as an in-context learning problem. It is available now on Hugging Face and GitHub. TL;DR TabFM predicts on unseen tables with no training, tuning, or feature engineering. It reads the full dataset as one prompt, then predicts via in-context le

NVIDIA has released Nemotron-Labs-TwoTower, a diffusion language model built on a pretrained autoregressive backbone. It ships as open weights under the NVIDIA Nemotron Open Model License. The release targets a throughput bottleneck in text generation. Autoregressive (AR) models decode one token at a time. That serial process caps generation throughput. Discrete diffusion language models take another route. They generate tokens in parallel and refine them iteratively. Most diffusion langu

Anthropic just shipped Claude Sonnet 5. They call it its most agentic Sonnet model yet. It plans, drives browsers and terminals, and runs autonomously across long tasks. Sonnet 5 is the default model for Free and Pro plans today. Max, Team, and Enterprise users can select it. It is also live in Claude Code and on the Claude Platform. TL;DR Sonnet 5 is Anthropic’s most agentic mid-tier model, closing much of the gap to Opus 4.8. Beats Sonnet 4.6 on every published benchmark: 6
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