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Genspark: the new AI-Powered search engine

An illustration of a futuristic, AI-powered search engine interface with a digital brain and glowing data streams, symbolizing advanced technology and information processing.

Meet Genspark, a new AI-powered search engine aiming to outperform current market leaders. Genspark uses generative AI to create custom summaries, called Sparkpages, in response to search queries. For instance, a query like “What’s the best baby formula for newborns?” produces a cohesive webpage overview from various online sources. This format is designed to be more precise than other AI-powered search features such as Arc Search and Google’s AI Overviews.

Co-founded by Eric Jing and Kay Zhu in 2023, Genspark employs specialized AI models trained both in-house and by third parties like OpenAI and Anthropic. These models categorize search queries and organize results into informative Sparkpages, enriched with comprehensive data. Each results page starts with an AI-generated summary and links to a detailed Sparkpage.

Unique to Genspark, Sparkpages for travel searches contain tables of contents, destination videos, tips, and a chatbot for questions. Product searches deliver pros-and-cons lists, reviews, and aggregated social media comments. According to Jing, the platform prioritizes high-authority, popular web pages to filter misleading information.

However, Genspark has its issues. Like its predecessors, it can produce ethically questionable suggestions — for instance, it recommended weapons for self-defense. Additionally, Sparkpages are editable by users, raising concerns over potential misinformation or plagiarism. There’s currently no reporting system for problematic content, although the company plans to license copyrighted material to improve accuracy and respect intellectual property rights.

Despite these challenges, Genspark has secured $60 million in seed funding from Lanchi Ventures. This funding reflects confidence in Jing and Zhu, veterans of Bing, Baidu, and Google, but the startup still faces fierce competition and complex technical, legal, and ethical hurdles. Yet, Jing remains optimistic, insisting that AI can fulfill user demands for faster, more visual, and trustworthy search results. Source: TechCrunch


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