Google adds agentic video understanding to Gemini Flash models

🚀 RELEASES & LAUNCHES

• Google adds agentic video understanding to Gemini Flash models
  Google launched agentic video understanding for Gemini Flash models.

  • Developers using the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform can access it.
  • Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite select video segments and analyze frames, audio, or transcripts as needed.
  • Google reports token usage falling from roughly 300,000–400,000 to under 50,000 per query on long-video benchmarks, an 88% reduction.
  • The feature is designed to reduce video-analysis cost while improving accuracy on long-form content.
  Sources 📄 Source: deepmind.google · 📎 Coverage: officechai.com · 👁 via Google DeepMind Blog

• Google launches Pics, an AI image creation and editing tool for Workspace
  Google launched Google Pics, an AI image creation and editing tool for Workspace.

  • For Workspace business customers on Business Standard, Business Plus, Enterprise Standard, or Enterprise Plus; Google AI Pro and Ultra subscribers; and Google AI Pro for Education users.
  • Powered by Google’s Nano Banana model, Pics generates images, isolates and transforms objects, edits or translates in-image text, creates multiple options, and upscales images to 2K or 4K.
  • Pics is available as a standalone app and is rolling out in Docs and Slides, with Drive integration planned in the coming weeks.
  • The Workspace integrations let users create and edit visuals collaboratively without switching to third-party design software.
  Sources 📄 Source: blog.google · 📎 Coverage: theverge.com · 👁 via The Verge AI, TechCrunch AI

• OpenAI adds Epic integration to ChatGPT Health for clinicians
  OpenAI integrated Epic with ChatGPT Health to give clinicians read-only access to patient data.

  • Clinicians and healthcare organizations using Epic can access ChatGPT within some EHR workflows.
  • The integration imports appointment notes, lab results, medications, and specialist documentation for summaries, questions, pre-visit reviews, and clinical timelines.
  • Access is read-only, and ChatGPT does not write back to patient records.
  • Epic’s network contains data for more than 325 million patients; OpenAI also launched a public-data plugin covering sources such as PubMed and ClinicalTrials.gov.
  • The integration gives healthcare teams AI-assisted chart review without requiring them to leave certain patient charts.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

• John Deere tests JD AI assistant for farmers
  John Deere introduced JD, an AI assistant that answers farmers’ questions using their operational data.

  • JD is initially for select U.S. agricultural customers through John Deere Operations Center.
  • The assistant analyzes field, machine, and operational data to answer questions about fuel use, equipment performance, yield, and harvest timing.
  • Early access is underway, with broader web and mobile availability planned later in 2026 and in-cab access under testing.
  • JD lets farmers query farm data in plain language instead of manually searching dashboards and reports.
  Sources 📎 Coverage: agnavigator.com · 👁 via The Verge AI

• SparkLLM open-sources 1.7B and 4B models with native 1M-token context
  SparkLLM released two open-weight on-device models with 1M-token context windows.

  • The models target on-device developers, local coding, office automation, smart-home systems and robotics.
  • Spark X2.5-4B and X2.5-1.7B support native context windows of up to 1,000,000 tokens.
  • The models were pretrained on about 20 trillion tokens and support NVIDIA, Huawei, Hygon and Houmo hardware.
  • Spark X2.5-1.7B achieved 90.3% end-to-end command accuracy at 0.85 seconds on the Domux smart-home test set.
  • Open weights and deployment code enable offline, low-latency applications through vLLM, SGLang, llama.cpp, Ollama and LM Studio.
  Sources 📄 Source: github.com · 📎 Coverage: dev.to · 👁 via r/LocalLLaMA

🔬 RESEARCH

• Google Research releases deep-learning model for global methane plume mapping
  Google Research released MAPL-EMIT for automated global methane-plume mapping.
  • The system targets methane monitoring across waste, agriculture, and energy sectors, including oil and gas facilities and landfills.
  • MAPL-EMIT detects, enhances, quantifies, and estimates sources of methane plumes from NASA's EMIT satellite data.
  • It achieved 84% recall on expert-annotated plumes and a high signal-to-noise ratio versus matched-filter methods.
  • Google released a global plume database on Earth Engine, a trained model and synthetic dataset on Kaggle, and an inference library on GitHub.
  • The releases support scalable, facility-level methane monitoring from space for emissions mitigation efforts.
  Sources 📎 Coverage: research.google · 👁 via Google Research Blog

💰 BUSINESS & FUNDING

• AIR Security raises $50M for an AI-agent supply-chain firewall
  AIR Security raised $50 million to secure AI-agent skills, plugins, and tools.

  • AIR targets enterprise security teams, with strongest demand reported in financial services and pharmaceuticals.
  • The startup raised $50 million across two seed rounds: $10 million led by Sequoia and $40 million led by Greenoaks.
  • Its platform discovers agents and their skills, tools, plugins, MCP servers, and other add-ons, then continuously evaluates and blocks unapproved or malicious components.
  • AIR reports more than 20 customers, filters about 27% of online add-ons and skills, and has about 40 employees.
  • The platform lets security teams trace affected agents and workflows and revoke risky add-ons across an organization.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

• Empirik launches from Sequoia with $21M to predict IT outages
  Empirik launched with $21 million to predict and prevent IT outages.

  • Empirik targets DevOps and site reliability engineering teams at startups and enterprises.
  • Its AI tracks system changes, infers infrastructure-wide effects, and flags risky updates.
  • The startup raised a $21 million seed round from Sequoia, Canapi, and Alumni Ventures.
  • Empirik aims to automate routine infrastructure troubleshooting as software changes accelerate.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

🏛️ POLICY & REGULATION

• Apple accuses OpenAI of destroying evidence in trade-secrets lawsuit
  Apple asked a court to expedite discovery in its trade-secrets lawsuit against OpenAI.
  • The case concerns OpenAI’s AI hardware effort and three former Apple employees who joined the company.
  • Apple says forensic analysis of former engineer Chang Liu’s MacBook found a confidential circuit schematic used at OpenAI and messages about destroying evidence.
  • Apple is seeking expedited discovery and a preliminary injunction that would block OpenAI from developing hardware based on Apple technology during the case.
  • OpenAI says Apple’s employee offboarding and access controls caused the dispute and denies improper access or use of Apple information.
  Sources 📎 Coverage: 9to5mac.com · 👁 via The Verge AI