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product#voice📝 BlogAnalyzed: Jan 17, 2026 13:45

Supercharge Your iPhone: Instant AI Access with Side Search!

Published:Jan 17, 2026 09:46
1 min read
Zenn Gemini

Analysis

This is a fantastic hack to instantly access AI on your iPhone! Side Search streamlines your AI interactions, letting you launch Gemini with a tap of the side button. It's a game-changer for those who want a seamless and quick AI experience.

Key Takeaways

Reference

Side Search lets you launch Gemini with a tap of the side button.

business#gemini📝 BlogAnalyzed: Jan 15, 2026 08:00

Google Japan Partners with Samurai Japan, Leveraging Gemini for Support

Published:Jan 15, 2026 07:48
1 min read
ITmedia AI+

Analysis

This partnership highlights the growing intersection of AI and sports, potentially enabling data-driven performance analysis and fan engagement initiatives. Google's deployment of Gemini suggests a strategic move to showcase the versatility of its AI technology beyond traditional tech applications, broadening its market reach and brand recognition.
Reference

Google Japan, the Japanese subsidiary of Google, has been decided as the official partner of the Japanese national baseball team "Samurai Japan."

product#llm📝 BlogAnalyzed: Jan 15, 2026 07:01

Automating Customer Inquiry Classification with Snowflake Cortex and Gemini

Published:Jan 15, 2026 02:53
1 min read
Qiita ML

Analysis

This article highlights the practical application of integrating large language models (LLMs) like Gemini directly within a data platform like Snowflake Cortex. The focus on automating customer inquiry classification showcases a tangible use case, demonstrating the potential to improve efficiency and reduce manual effort in customer service operations. Further analysis would benefit from examining the performance metrics of the automated classification versus human performance and the cost implications of running Gemini within Snowflake.
Reference

AI integration into data pipelines appears to be becoming more convenient, so let's give it a try.

product#ai health📰 NewsAnalyzed: Jan 15, 2026 01:15

Fitbit's AI Health Coach: A Critical Review & Value Assessment

Published:Jan 15, 2026 01:06
1 min read
ZDNet

Analysis

This ZDNet article critically examines the value proposition of AI-powered health coaching within Fitbit Premium. The analysis would ideally delve into the specific AI algorithms employed, assessing their accuracy and efficacy compared to traditional health coaching or other competing AI offerings, examining the subscription model's sustainability and long-term viability in the competitive health tech market.
Reference

Is Fitbit Premium, and its Gemini smarts, enough to justify its price?

product#agent📰 NewsAnalyzed: Jan 14, 2026 16:15

Gemini's 'Personal Intelligence' Beta: A Deep Dive into Proactive AI and User Privacy

Published:Jan 14, 2026 16:00
1 min read
TechCrunch

Analysis

This beta launch highlights a move towards personalized AI assistants that proactively engage with user data. The crucial element will be Google's implementation of robust privacy controls and transparent data usage policies, as this is a pivotal point for user adoption and ethical considerations. The default-off setting for data access is a positive initial step but requires further scrutiny.
Reference

Personal Intelligence is off by default, as users have the option to choose if and when they want to connect their Google apps to Gemini.

product#llm📝 BlogAnalyzed: Jan 6, 2026 07:29

Gemini's Value Proposition: A User Perspective on AI Dominance

Published:Jan 5, 2026 18:18
1 min read
r/Bard

Analysis

This is a subjective user review, not a news article. The analysis focuses on personal preference and cost considerations rather than objective performance benchmarks or market analysis. The claims about 'AntiGravity' and 'NanoBana' are unclear and require further context.
Reference

I think Gemini will win the overall AI general use from all companies due to the value proposition given.

Technology#Generative AI📝 BlogAnalyzed: Jan 3, 2026 06:12

Reflecting on How to Use Generative AI Learned in 2025

Published:Dec 30, 2025 00:00
1 min read
Zenn Gemini

Analysis

The article is a personal reflection on the use of generative AI, specifically Gemini, over a year. It highlights the author's increasing proficiency and enjoyment in using AI, particularly in the last month. The author intends to document their learning for future reference as AI technology evolves. The initial phase of use was limited to basic tasks, while the later phase shows significant improvement and deeper engagement.
Reference

The author states, "I've been using generative AI for work for about a year. Especially in the last month, my ability to use generative AI has improved at an accelerated pace." They also mention, "I was so excited about using generative AI for the last two weeks that I only slept for 3 hours a night! Scary!"

Research#llm📝 BlogAnalyzed: Dec 25, 2025 05:58

[Workspace Studio] Created a flow to avoid missing chats requiring a reply [Gemini]

Published:Dec 25, 2025 00:00
1 min read
Zenn Gemini

Analysis

This article discusses using Google Workspace Studio, specifically focusing on creating a flow to ensure no chats requiring a reply are missed. The author, TOMMY, expresses excitement about successfully organizing an internal Advent Calendar event. While initially planning to write about AppSheet, the focus shifted to Workspace Studio. The article references a previous post on Workspace Flows, suggesting a continuation of that topic. The content implies a practical application of Workspace Studio to improve communication efficiency within a workspace environment, leveraging Gemini's capabilities. It's a brief introduction and likely leads to a more detailed explanation of the flow creation process.
Reference

DSK Advent Calendar 2025 I'm happy to be able to hold it.

Product#LLM👥 CommunityAnalyzed: Jan 10, 2026 08:06

Mysti: Code Debate & Synthesis with LLMs

Published:Dec 23, 2025 13:18
1 min read
Hacker News

Analysis

This Hacker News post introduces Mysti, a tool leveraging multiple large language models (LLMs) to analyze and synthesize code. The approach of using LLMs to debate and refine code could offer interesting improvements to software development workflows.
Reference

Mysti leverages Claude, Codex, and Gemini.

Research#llm📝 BlogAnalyzed: Dec 24, 2025 18:20

Which LLM Should I Use? Asking LLMs Themselves

Published:Dec 13, 2025 15:00
1 min read
Zenn GPT

Analysis

This article explores the question of which Large Language Model (LLM) is best suited for specific tasks by directly querying various LLMs like GPT and Gemini. It's a practical approach for engineers who frequently use LLMs and face the challenge of selecting the right tool. The article promises to present the findings of this investigation, offering potentially valuable insights into the strengths and weaknesses of different LLMs for different applications. The inclusion of links to the author's research lab and an advent calendar suggests a connection to ongoing research and a broader context of AI exploration.

Key Takeaways

Reference

「こういうことしたいんだけど、どのLLM使ったらいいんだろう...」

Gemini: Google's most capable AI model yet

Published:Dec 6, 2023 15:05
1 min read
Hacker News

Analysis

The article is a brief announcement of Google's new AI model, Gemini. It highlights the model's capability without providing specific details about its performance or features. The headline suggests a significant advancement in Google's AI capabilities.

Key Takeaways

Reference