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product#llm📝 BlogAnalyzed: Jan 22, 2026 16:17

Google's AI Mode Gets a Major Upgrade: Personalized Intelligence for Ultra Users!

Published:Jan 22, 2026 16:15
1 min read
Techmeme

Analysis

Google is taking AI personalization to the next level with its new Personal Intelligence feature! This exciting update allows AI Mode to access your Gmail and Google Photos, enabling more tailored and insightful responses. Prepare for a significantly enhanced search experience!
Reference

“AI Mode, Google's conversational Search feature for complex questions, is getting more personalized.”

PermalinkTechmeme
Research Paper#Vector Search, ANNS, I/O Optimization🔬 ResearchAnalyzed: Jan 3, 2026 19:31

OrchANN: I/O Orchestration for Fast Out-of-Core Vector Search

Published:Dec 28, 2025 08:42
1 min read
ArXiv

Analysis

This paper addresses the performance bottleneck of approximate nearest neighbor search (ANNS) at scale, specifically when data resides on SSDs (out-of-core). It identifies the challenges posed by skewed semantic embeddings, where existing systems struggle. The proposed solution, OrchANN, introduces an I/O orchestration framework to improve performance by optimizing the entire I/O pipeline, from routing to verification. The paper's significance lies in its potential to significantly improve the efficiency and speed of large-scale vector search, which is crucial for applications like recommendation systems and semantic search.
Reference

“OrchANN outperforms four baselines including DiskANN, Starling, SPANN, and PipeANN in both QPS and latency while reducing SSD accesses. Furthermore, OrchANN delivers up to 17.2x higher QPS and 25.0x lower latency than competing systems without sacrificing accuracy.”

PermalinkArXiv
Technology#AI Search👥 CommunityAnalyzed: Jan 3, 2026 17:02

Web Search with AI Citing Sources

Published:Dec 8, 2022 17:53
1 min read
Hacker News

Analysis

This article describes a new web search tool that uses a generative AI model similar to ChatGPT but with the ability to cite its sources. The model accesses primary sources on the web, providing more reliable and verifiable answers compared to models relying solely on pre-trained knowledge. The tool also integrates standard search results from Bing. A key trade-off is that the AI may be less creative in areas where good, citable sources are lacking. The article highlights the cost-effectiveness of their model compared to GPT and provides example search queries.
Reference

“The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform.”

PermalinkHacker News