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AI is becoming better at execution and security, but its actual business output remains debated

Today's AI focus has shifted from simply climbing benchmark leaderboards to using agents more reliably and deeply. Businesses are re-evaluating the actual financial returns of AI while investing heavily in intelligent defense systems to handle the security risks that come with automation. Whether as individuals or companies, everyone is trying to integrate these tools into their daily routines.

Picked from 62 AIHOT stories, 1 post on X.

  • Products2
  • Tips1
  • Models1
  • Research1
  • Opinions1

Today's highlights

  1. Apollo economist says AI has yet to boost corporate profits
  2. Nvidia open-sources robot video annotation engine Flora
  3. Nanjing University team open-sources smartphone agent OpenMobile-2

01Products2 items

  1. Alibaba's Qwen Go! adds app-building features

    Qwen Go! has added a "My Apps" feature, allowing users to build AI tools for daily or professional scenarios just by chatting. The system automatically handles database configuration and deployment. Once authorized, it can access data from platforms like Taobao, Amap, and Damai, and supports sharing with others.

    Why it matters Customize small tools for yourself or your team without writing any code.

    Read original· ithome.com(opens in a new tab)
  2. Grok Bot adds call-making and task-processing features

    Elon Musk announced that Grok Bot can now place calls to individuals or businesses on behalf of users, handle requests, and record call summaries. The feature supports automated dialing and keypad interactions. The Mac version also added Tailscale private network connectivity and payment account syncing.

    Why it matters You can outsource tedious phone communication tasks to AI.

    Read original· x.com(opens in a new tab)

02Tips1 item

  1. Open-source tool 'Skill dimensional-drawing' automates technical sketching

    Developers released the open-source Skill dimensional-drawing plugin. By pointing it at component source code or screenshots, it generates a technical dimension sheet in an Apple accessory style, clearly displaying spacing, corner radii, and layer architecture instead of just simple text descriptions.

    Why it matters Perfect for quickly producing standardized UI technical reference documents.

    Read original· x.com(opens in a new tab)

03Models1 item

  1. Nvidia open-sources robot video annotation engine Flora

    Nvidia has open-sourced its robot video annotation engine, Flora. It uses three fine-tuned Qwen models to handle action segmentation, execution scoring, and result verification. The engine is already used in GR00T training and can annotate 200,000 hours of video per day on 512 GPUs, at 1/125th the cost of GPT-6 Astra.

    Why it matters Lowers the cost of visual data processing for robot training.

    Read original· the-decoder.com(opens in a new tab)

04Research1 item

  1. Nanjing University team open-sources smartphone agent OpenMobile-2

    Nanjing University, SenseTime, and other teams have open-sourced the smartphone agent OpenMobile-2, providing 9B and 27B versions based on the Qwen series. The project includes the complete training environment, data, and reproduction instructions. The 27B version scored 79.9 on the AndroidWorld benchmark.

    Why it matters Researching how to let phones automatically complete app operations.

    Read original· the-decoder.com(opens in a new tab)

05Opinions1 item

  1. Apollo economist says AI has yet to boost corporate profits

    Torsten Slok, chief economist at Apollo Global Management, found that excluding big tech, the profit margins and revenue per employee of the S&P 493 have not improved due to AI. He believes there is currently no data to support the idea that AI has significantly boosted productivity outside the tech industry.

    Why it matters A reminder to stay rational when evaluating the return on investment for AI.

    Read original· techcrunch.com(opens in a new tab)