Pilot program integrates AI-generated notes with human community notes on X platform

X (formerly Twitter) launched its “Community Notes” program in 2021 to combat misinformation by allowing users to add contextual notes on posts that might be deceptive or lead to misinterpretation. An example would be users labeling an AI-generated video as such, so that other users would not be tricked into believing the event in the …

SceneScout: Towards AI Agent-driven Access to Street View Imagery for Blind Users

People who are blind or have low vision (BLV) may hesitate to travel independently in unfamiliar environments due to uncertainty about the physical landscape. While most tools focus on in-situ navigation, those exploring pre-travel assistance typically provide only landmarks and turn-by-turn instructions, lacking detailed visual context. Street view imagery, which contains rich visual information and …

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Why We Serve: Palantirians Reflect on Duty, Honor & Innovation

In honor of Independence Day, Palantir Veterans and Intelligence Community (IC) alums offer reflections on their prior service and what it means to continue to serve the mission at Palantir. In their own words, they share how the values forged in service to the nation — duty, honor, and a commitment to mission — shape the work they do …

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Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock

In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom, Switzerland’s leading telecommunications provider, to explore how AI can transform their …

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How to build a simple multi-agentic system using Google’s ADK

Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often crumble under their own weight because of instruction overload, inaccurate outputs, and brittle systems that are impossible to scale.  …