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Friday, November 6, 2026

Google Gemini Omni 1.2 Flash processes video faster

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The Brief

Google DeepMind released Gemini Omni 1.2 Flash, updating its efficient model to process longer video clips at higher speeds and lower costs. You can now feed the system entire meeting recordings or extended training content that previously exceeded input limits. Google DeepMind Blog

If your team relies on video documentation, you have a faster way to extract action items without paying premium model prices. Google DeepMind Blog

Also today:

  • Claude connects to banks. Anthropic's assistant can now securely link to your credit card and bank accounts to query transaction histories and generate automated budget insights. TechCrunch AI
  • Box upgrades enterprise search. The cloud storage provider integrated Nvidia's Nemotron models, cutting file retrieval errors by 20 percent and delivering faster answers to document queries. TechCrunch AI
  • Agents struggle with workflows. A new GDPx evaluation found that leading models fail to complete more than 12 percent of complex professional tasks autonomously. The Decoder

Try this at work — for operations and finance

  1. Access Gemini Omni 1.2 Flash and upload a raw video recording of your latest monthly operational review or team meeting.
  2. Ask the tool to generate a timestamped list of all budget approvals, deferred decisions, and assigned action items discussed in the recording.
  3. Spot-check the provided timestamps against the original video to confirm the model accurately captured your financial figures before circulating the notes.
The details

Hands-on

2 picks
  1. ClaudeChatGPT

    Implement business growth workflows using advanced AI agent techniques

    This tutorial breaks down the specific prompting and automation workflows used to scale business leads and sales operations. It is designed for founders and marketing professionals who want to move beyond basic chat interactions to built-in systems. You will learn how to structure lead generation engines using tools like Claude and OpenAI.

    Nick SaraevWatch
  2. Tutorial

    Determine which tasks to delegate to AI by calculating your hourly value

    This guide provides a framework for assigning a dollar value to your time to decide if using an AI agent is cost-effective. It includes an interview prompt to help you identify which routine jobs are worth automating to scale your personal efficiency.

    Nate B Jones (YouTube)Watch

The AI race

5 items

  1. Google launches Gemini Omni 1.2 Flash for faster video processing

    Google DeepMind released Gemini Omni 1.2 Flash, a new version of its efficient model designed for high-speed performance and lower costs. It can process longer video clips than previous versions, making it more practical for analyzing meetings or long-form video content.

    Google DeepMind BlogRead the full article

  2. OpenAI president Greg Brockman targets 2027 for potential IPO

    OpenAI is reportedly preparing for a public offering as it gains significant ground in the enterprise market against rivals like Anthropic. This signal suggests the company is maturing its business model to meet the high-security and scale demands of corporate clients.

    TechCrunch AIRead the full article

  3. New benchmark shows current AI agents struggle with real-world knowledge work

    A new evaluation called GDPx found that leading models like Claude Opus 5.5 and Gemini 4 Carbon fail to complete more than 12% of complex professional tasks autonomously. This highlights that while AI is useful for small steps, it cannot yet handle entire complex workflows like trading or engineering without human oversight.

    The DecoderRead the full article

  4. Anthropic signs its first licensing deal to pay news publishers

    Anthropic has reversed its previous stance and signed its first deal to pay for news content used in training or through its models. This move follows a broader industry trend where labs seek legal safety and high-quality data through formal partnerships. Professionals may see more reliable news-based citations and real-time information in Claude products as a result.

    The DecoderRead the full article

  5. OpenAI launches Dots to run autonomous tasks inside ChatGPT

    OpenAI has introduced "Dots," which are autonomous agents that come with their own dedicated cloud computing space to complete tasks independently. You can now hand off long-running projects, like building a landing page or mapping a product launch, and let the agent work 24/7 without manual supervision.

    Nick SaraevRead the full article

AI at work

5 items

  1. Perplexity launches Teammates AI agents for persistent workspace tasks

    Perplexity has introduced "Teammates," persistent AI agents that can pull from existing projects and memory to perform ongoing work. Users can now deploy these agents across their devices to handle multi-step workflows without constant manual prompting.

    The Verge AIRead the full article

  2. Box adopts Nvidia Nemotron to power faster and more accurate content search

    Cloud storage provider Box is integrating Nvidia's Nemotron models to power a new agent-based search system for enterprise files. Users will see 20% fewer errors and significantly faster response times when querying their company documents and internal data.

    TechCrunch AIRead the full article

  3. Kino AI launches collaborative video editor for human teams and agents

    Kino AI provides a media management and editing platform where marketing teams can collaborate with coding agents like Claude Code to build video timelines. It allows non-technical users to manage footage while using AI to handle repetitive editing tasks directly in a shared workspace.

    Hacker News · AI (hnrss)Read the full article

  4. Meta adds voice and expressive avatars to Muse app

    Meta is rolling out new voice interaction and expressive digital avatars for its Muse application. Users can now communicate naturally with the assistant, making it a more interactive tool for creative or professional communication tasks.

    Meta NewsroomRead the full article

  5. Axiom Math uses AI agents to verify complex mathematical proofs

    Startup Axiom Math has deployed AI agents to formally check and verify large-scale mathematical libraries, ensuring accuracy in a field increasingly crowded by unverified AI outputs. This demonstrates how AI can be used as a quality control layer for data-heavy professional fields.

    TechCrunch AIRead the full article

For builders

1 item

  1. Updated API pricing for DeepSeek and Qwen model families

    New pricing data for Qwen 3.7, Qwen 3.8, and DeepSeek-v4-Pro shows significant cost differences between short and long context inputs. Teams building custom tools should note the 'billing traps' where costs jump significantly when processing inputs larger than 256,000 words.

    r/ChatGPTCodingRead the full article

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