Samsung's new AI performance watchdog

PLUS: An AI chip darling's surprise move, Europe's self-driving push, and AI drones keeping workers safe

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Gen AI Art
October 04, 2025 • Estimated Reading Time: 7 minutes

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Samsung has just released a new tool that allows employers to monitor the performance of AI systems in the workplace. The new software provides direct insights into the productivity and overall impact of AI tools on business operations.

The system is designed to measure the effectiveness of AI, but it's also fueling discussions about increased workplace surveillance. Will this new level of oversight help optimize human-AI collaboration, or will it create new friction between employers and staff over job security?

Today in AI:

  • Samsung’s new AI performance watchdog

  • Europe pushes for self-driving cars

  • AI drones make energy inspections safer

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What’s new? Samsung has unveiled a new tool that enables employers to monitor the performance of AI systems in the workplace, providing insights into their productivity and overall impact.

What matters?

  • The tool allows employers to track key performance indicators (KPIs) to measure the effectiveness of AI systems being used in their operations.

  • It also integrates a system for employees to provide feedback on AI tools, helping businesses identify disruptions and areas for improvement.

  • While intended to boost productivity, the tool is sparking conversations around increased surveillance and job security for employees.

Why it matters?

This development signals a shift from simply adopting AI tools to actively measuring and managing their performance within the enterprise. It introduces a new layer of data-driven oversight that will shape how companies justify AI investments and manage human-AI collaboration.

PROMPT STATION

What’s new? The European Commission is calling for a continent-wide effort to develop self-driving cars, aiming to revive its automotive industry and compete with established leaders in the US and China.

What matters?

  • European Commission President is promoting an “AI first” strategy across the EU’s strategic industries, with mobility being a top priority.

  • The push is a direct response to foreign technology development, as von der Leyen noted that self-driving cars are already a reality in the United States and China.

  • A concrete first step involves forming a network of European cities to pilot autonomous vehicles, with 60 Italian mayors already onboard.

Why it matters?

This unified directive could create significant opportunities for developers and tech companies within Europe's massive automotive sector. It signals a major policy shift toward embedding AI in critical infrastructure to maintain economic competitiveness and improve public life.

What’s new? The energy sector is increasingly deploying AI-powered drones to conduct infrastructure inspections. This move boosts operational efficiency and significantly enhances worker safety.

What matters?

  • Drones reduce the need for workers to perform dangerous tasks at height or in hazardous environments like oil rigs and power lines.

  • Equipped with high-resolution and thermal imaging, these UAVs can quickly identify potential issues that might be missed by the human eye.

  • Covering large areas in a fraction of the time it takes a human inspector not only speeds up maintenance but also reduces costs associated with downtime.

Why it matters?

This technology represents a practical application of AI that directly addresses long-standing safety challenges in a critical industry. The adoption of autonomous inspection tools points to a future where dangerous jobs are increasingly handled by machines.

Everything else in AI

Perplexity launched its new Pages feature, allowing users to create and share comprehensive, well-structured articles on any topic by curating information from AI-powered search results.

ElevenLabs unveiled a new generative AI model for creating music, allowing users to generate tracks from text prompts or existing audio and guiding the output with descriptions of genre and mood.

Google DeepMind introduced RT-2, a new vision-language-action model that enables robots to understand and execute complex, abstract commands by learning from web and image data.

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