Google has fully integrated NotebookLM, its AI research tool, into the Gemini app, allowing users to create notebooks with multiple source types directly within the chatbot. The feature supports PDFs, documents, website URLs, YouTube videos, and text input, with Gemini generating summaries, infographics, and audio overviews from uploaded sources.
April 9, 2026
Anthropic has launched Claude Managed Agents as a public beta, providing developers with a hosted platform to build and run autonomous AI agents without managing their own infrastructure. The service costs $0.08 per session hour on top of standard token pricing and is currently available exclusively on Anthropic's infrastructure.
Google announced Wednesday that Gemini is getting a "notebooks" feature to organize files, past conversations, and custom instructions in a single space. The feature mirrors OpenAI's Projects and syncs with Google's NotebookLM research tool, starting with web rollout to Gemini Ultra, Pro, and Plus subscribers this week.
Meta announced Muse Spark today, its first model release since Llama 4 a year ago. The hosted model is available in private API preview and on meta.ai with Instant and Thinking modes, benchmarking competitively against Anthropic's Opus 4.6 and Google's Gemini 3.1 Pro, though behind on Terminal-Bench 2.0.
Meta has released Muse Spark, a proprietary AI model with restricted access via API and portal invite only—a striking reversal from CEO Mark Zuckerberg's 2024 manifesto championing open-source AI. The model claims performance matching top competitors from OpenAI, Anthropic, and Google, trained with an order of magnitude less compute than Llama 4.
YouTube is rolling out an AI avatar feature that lets users create photorealistic versions of themselves for YouTube Shorts. Users record a live selfie and voice prompts to generate an avatar that can create up to 8-second video clips. The feature includes watermarks, digital labels (SynthID and C2PA), and AI-generated content disclosures.
Google is introducing 'notebooks' to the Gemini app, a new organizational feature that lets users create personal knowledge bases across chats and files. The notebooks sync directly with NotebookLM and are rolling out first to Google AI Plus, Pro, and Ultra subscribers on web, with mobile and free user access coming in the following weeks.
Meta has released Muse Spark, the first model from Meta Superintelligence Labs, a unit assembled under chief AI officer Alexandr Wang following Meta's $14.3 billion investment in Scale AI. The natively multimodal model features a "Contemplating" reasoning mode with parallel sub-agents and marks Meta's break from its open-source Llama heritage by operating as closed source.
Amazon Bedrock now enables fine-tuning of Amazon Nova models using supervised fine-tuning (SFT), reinforcement fine-tuning (RFT), and model distillation. The service automates infrastructure provisioning and training orchestration, requiring only data upload to S3 and a single API call. Fine-tuned models run on-demand at standard inference pricing without provisioned capacity requirements.
Amazon Nova Multimodal Embeddings, announced October 28, 2025, now supports audio content for semantic search alongside text, images, and video. The model offers four embedding dimension options (3,072, 1,024, 384, 256) and uses Matryoshka Representation Learning to balance accuracy with storage efficiency.
Amazon Bedrock now supports Reinforcement Fine-Tuning (RFT) for customizing Amazon Nova and open source models using reward signals instead of labeled datasets. AWS reports up to 66% accuracy improvements over base models with reduced customization complexity. The approach works best for tasks with verifiable correctness (code, math) or subjective evaluation (moderation, summarization).
OpenAI's ChatGPT has launched its first streaming video service integration, partnering with Tubi. The native app lets users search Tubi's catalog of over 300,000 movies and TV episodes using natural language queries.
Meta Superintelligence Labs has launched Muse Spark, a native multimodal reasoning model that scores 52 on the Artificial Analysis Intelligence Index, placing it in the top 5 frontier models. This marks Meta's first frontier-class model and its first AI system without open weights, representing a strategic shift from its open-source Llama strategy. The model achieves comparable efficiency to Gemini 3.1 Pro while matching Llama 4 Maverick capabilities with over an order of magnitude less compute.