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Google released Nano Banana 2, an image generation model combining advanced capabilities with faster processing speed across its products. The SynthID verification feature in Gemini app has been used over 20 million times since its November launch to identify AI-generated images. The model rolls out today to Gemini, Search, AI Studio, Google Cloud, Flow, and Google Ads, expanding access to features previously exclusive to the Pro version.
OpenAI and Pacific Northwest National Laboratory created DraftNEPABench, a benchmark for testing how AI agents can help with federal environmental permitting documents. The benchmark shows potential to reduce the time spent drafting National Environmental Policy Act documents by up to 15%. The tool could speed up infrastructure review processes that currently delay federal projects.
OpenAI and Figma integrated Codex to enable bidirectional conversion between code and design files. Teams can now convert code into Figma designs and designs back into code without leaving their workflow. This eliminates manual translation steps between developers and designers, reducing iteration time on visual components.
Mixture of Experts models replace dense feed-forward layers in transformers with multiple expert sub-networks, where a router selects only a small subset of experts to process each token, enabling models with many more total parameters to run with fewer active parameters per inference step. The transformers library improved MoE model loading speed from 66 seconds to 10 seconds on a 110B-parameter model by implementing dynamic weight conversion that transforms checkpoint tensors into GPU-optimized packed layouts without unnecessary materialization. The improvements enable efficient quantization, pluggable expert execution backends, and distributed expert parallelism across multiple devices, making sparse architectures practical for both training and inference at scale.
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