"The fact that mistakes happen is correct, but this is a dramatic mistake, because the effort level is very low and the access level that we got is very high," Ami Luttwak, the CTO of Wiz tells WIRED.
Exposed DeepSeek Database Revealed Chat Prompts and Internal Data
The DeepSeek database incident underscores significant cybersecurity issues within emerging AI platforms. The Chinese AI firm DeepSeek unwittingly exposed a large database, including system logs, user prompts, and API keys, accumulating over a million records. The exposed data, discovered by security researchers at Wiz, revealed...... read more >
Discover how AI Twins are revolutionizing personal digital assistants. In "Season’s Smartest Gift — A Personal AI Twin" by Paulius Jurcys from Prifina, explore the transformative potential of these dynamic digital companions that evolve alongside us, ensuring data privacy and enhancing our daily lives. This article delves into innovative applications, placing personal privacy at the forefront while unlocking broader opportunities for enriched communication and learning. Perfectly timed for the holiday season, it's a must-read for anyone interested in future-forward technology.
One compelling...... read more >
"The bad optics happened because these brands failed to communicate to their existing audiences."
Where LinkedIn’s AI Move Went Wrong
LinkedIn's AI Move and the Importance of Transparency
The article "Where LinkedIn's AI Move Went Wrong" provides a detailed account of the backlash LinkedIn faced for using user data to train AI models without prior communication. This controversy highlights the critical role of transparency and coordination in corporate communication strategies.
The Core Issue: Communication Failures
LinkedIn's primary mistake wasn't in the use of user data but how it... read more >
"The bad optics happened because these brands failed to communicate to their existing audiences."
Where LinkedIn’s AI Move Went Wrong
Analyzing LinkedIn’s AI Move: Lessons in Communication
In analyzing the article "Where LinkedIn's AI Move Went Wrong," we uncover key points and insights into LinkedIn’s recent controversy regarding its terms of service update. The central argument revolves around LinkedIn’s lack of transparency in using user data to train AI models before updating its terms of service, which sparked public outcry.
Lack of Communication: The Core Issue
The article effectively...... read more >
