You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits the participation of data-rich organizations operating in regulated or proprietary environments. FlexOlmo—introduced by researchers at the Allen Institute for AI and collaborators—proposes a modular training…

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How Secure Is Online Fax: Privacy and Data Protection Standards

How Secure Is Online Fax: Privacy and Data Protection Standards

When it comes to sharing sensitive documents online, security sits at the top of everyone’s checklist. Online faxing is generally considered one of the safest ways to send and receive important information, offering advanced encryption and secure transmission that outpaces many traditional methods. But let’s be honest, anyone who has ever lost sleep over data breaches knows…

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ServiceNow Flaw CVE-2025-3648 Could Lead to Data Exposure via Misconfigured ACLs

ServiceNow Flaw CVE-2025-3648 Could Lead to Data Exposure via Misconfigured ACLs

A high-severity security flaw has been disclosed in ServiceNow’s platform that, if successfully exploited, could result in data exposure and exfiltration. The vulnerability, tracked as CVE-2025-3648 (CVSS score: 8.2), has been described as a case of data inference in Now Platform through conditional access control list (ACL) rules. It has been codenamed Count(er) Strike. “A…

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Exploring data and its influence on political behavior

Exploring data and its influence on political behavior

Data and politics are becoming increasingly intertwined. Today’s political campaigns and voter mobilization efforts are now entirely data-driven. Voters, pollsters, and elected officials are relying on data to make choices that have local, regional, and national impacts. A Department of Political Science course offers students tools to help make sense of these choices and their…

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A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines Lilac’s dataset management capabilities with Python’s functional programming paradigm to create a clean, extensible workflow. From setting up a project and generating realistic sample data to extracting insights and exporting filtered…

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Melding data, systems, and society

Melding data, systems, and society

Research that crosses the traditional boundaries of academic disciplines, and boundaries between academia, industry, and government, is increasingly widespread, and has sometimes led to the spawning of significant new disciplines. But Munther Dahleh, a professor of electrical engineering and computer science at MIT, says that such multidisciplinary and interdisciplinary work often suffers from a number…

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How to Build an Advanced BrightData Web Scraper with Google Gemini for AI-Powered Data Extraction

How to Build an Advanced BrightData Web Scraper with Google Gemini for AI-Powered Data Extraction

In this tutorial, we walk you through building an enhanced web scraping tool that leverages BrightData’s powerful proxy network alongside Google’s Gemini API for intelligent data extraction. You’ll see how to structure your Python project, install and import the necessary libraries, and encapsulate scraping logic within a clean, reusable BrightDataScraper class. Whether you’re targeting Amazon…

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