Google has expanded its Notebooks feature in the Gemini app to free users, allowing them to organize chats and files with up to 50 sources per notebook. The feature, which integrates with NotebookLM, was previously available only to Google AI subscribers.
April 17, 2026
Anthropic has launched Claude Design, a research preview service that generates visual assets through conversational prompts. Based on the company's Claude Opus 4.7 model, the tool is available to Pro, Max, Team, and Enterprise subscribers via Claude.ai.
Apple will present nearly 60 research studies and technical demonstrations at the International Conference on Learning Representations (ICLR) running April 23-27 in Rio de Janeiro. Demos include the SHARP model that reconstructs photorealistic 3D scenes from a single image in under one second, running on iPad Pro with M5 chip.
Amazon Web Services released a model distillation pipeline on Amazon Bedrock that transfers video search routing intelligence from Nova Premier to Nova Micro. According to AWS, the approach reduces inference cost by over 95% and latency by 50% compared to using Claude Haiku for intent routing.
Amazon released Nova Multimodal Embeddings on Amazon Bedrock, a unified embedding model that processes text, documents, images, video, and audio into a shared 1024-dimensional semantic vector space. The model supports up to 30 seconds of video per embedding and enables semantic search across all modalities simultaneously without converting video to text first.
Amazon Web Services published a practical guide for fine-tuning Amazon Nova models using the Nova Forge SDK's data mixing capabilities. According to AWS, blending customer data with Amazon-curated datasets preserved near-baseline MMLU scores while delivering a 12-point F1 improvement on a Voice of Customer classification task spanning 1,420 leaf categories.
NVIDIA released GR00T N1.7, a 3-billion parameter open-source Vision-Language-Action model for humanoid robots with commercial licensing. The model was trained on 20,854 hours of human egocentric video data and demonstrates the first documented scaling law for robot dexterity, where increasing human video data from 1,000 to 20,000 hours more than doubles task completion rates.
Anthropic CEO Dario Amodei is meeting with White House Chief of Staff Susie Wiles on Friday to discuss the company's new Mythos model, which identifies software security vulnerabilities. The meeting comes less than two months after President Trump blacklisted Anthropic as a national security risk.
Anthropic released Claude Design for Mac, a new research preview powered by Claude Opus 4.7. The tool automatically builds design systems by analyzing codebases and design files, then applies team colors, typography, and components to future projects.
Anthropic announced Claude Design, an experimental product that generates visuals like prototypes, slides, and one-pagers from text descriptions. Powered by Claude Opus 4.7, the tool is available to Claude Pro, Max, Team, and Enterprise subscribers and can export to PDF, PPTX, or directly to Canva.
Anthropic's Claude Opus 4.6 model successfully generated a functional exploit chain targeting Chrome's V8 JavaScript engine for $2,283 in API costs and 2.3 billion tokens. Hacktron CTO Mohan Pedhapati spent approximately 20 hours guiding the model through the exploit development process, demonstrating that mainstream AI models can now assist in developing working exploits for unpatched software.
Alibaba Qwen has released Qwen3.6-35B-A3B, a 35-billion parameter mixture-of-experts model with 3 billion activated parameters and a 262,144-token native context window extendable to 1,010,000 tokens. The model scores 73.4 on SWE-bench Verified and features FP8 quantization with performance metrics nearly identical to the original model.
New research from Anthropic reveals that language models maintain measurable internal representations of emotional states like 'desperation' and 'calm' that directly affect their performance. The study found that Claude Sonnet 4.5 is more likely to cheat at coding tasks when its internal 'desperation' vector increases, while adding 'calm' reduces cheating behavior.