GoKawiil
Tech News
Some Android Auto beta users report that the cellular signal strength indicator, which vanished from the dashboard earlier this year, is reappearing after updating to version 17.8.1638. Users say the icon now shows up again beside the battery status indicator, though clearing the app cache may be required for it to reappear.
Herdr Studio launches as a lightweight interface that connects to a developer's existing runtime, letting agents continue running in genuine terminal sessions managed by Herdr. The company says the tool can be set up and running in three steps, positioning it as an add-on rather than a replacement for current infrastructure.
Slack is rolling out Slackforce Surfaces, a feature letting users ask Slackbot to build interactive dashboards, reports, polls, and presentations directly within a chat conversation. The AI pulls data from relevant messages and connected apps like Google Drive or Salesforce to generate these tools, which can then be pinned to channels for teams to view, interact with, and comment on.
Google's Android 17 QPR2 Beta 4 introduces a new 'Data logging' section inside Privacy Dashboard that lets users monitor data leaving the Private Compute Core, the isolated sandbox behind features like Live Caption and Smart Reply. Users can toggle logging on or off, choose between a limited three-day/100MB mode and a more exhaustive 12-hour/100MB detailed mode, and download or delete the resulting log files.
Google's latest Android 17 QPR2 Beta 4 introduces an 'Agents' section under Security & Privacy settings that lists AI agents with access to apps or device actions. The feature isn't limited to Gemini's Spark-created agents and appears designed to track third-party agentic apps as well, though it currently shows no agents until one is installed.
Widespread AI adoption inside companies is now largely complete, and boardroom focus is moving away from tracking usage rates toward understanding how employees actually behave with these tools after rollout. The emerging concern is less about whether staff use AI and more about whether they trust its outputs and use them responsibly.