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product#agent📝 BlogAnalyzed: Jan 4, 2026 09:24

Building AI Agents with Agent Skills and MCP (ADK): A Deep Dive

Published:Jan 4, 2026 09:12
1 min read
Qiita AI

Analysis

This article likely details a practical implementation of Google's ADK and MCP for building AI agents capable of autonomous data analysis. The focus on BigQuery and marketing knowledge suggests a business-oriented application, potentially showcasing a novel approach to knowledge management within AI agents. Further analysis would require understanding the specific implementation details and performance metrics.
Reference

“はじめに”

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Business & Finance#Investment Strategy📝 BlogAnalyzed: Jan 3, 2026 06:21

Buffett Formally Steps Down as Berkshire CEO: What Did the "Oracle of Omaha" Do in His Last Year?

Published:Dec 31, 2025 22:46
1 min read
cnBeta

Analysis

The article discusses Warren Buffett's final year as CEO of Berkshire Hathaway, highlighting his investment strategy of patience and waiting for the right opportunities. It notes the impact of a rising stock market, AI boom, and trade tensions on his decisions. Buffett's strategy involved reducing stock holdings, accumulating cash, and waiting for favorable conditions for large-scale acquisitions.
Reference

“As one of the most productive and patient dealmakers in the American business world, Buffett adhered to his investment principles in his final year at the helm of Berkshire Hathaway.”

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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 07:14

Sample size reassessment in Bayesian hybrid clinical trials

Published:Dec 22, 2025 20:14
1 min read
ArXiv

Analysis

This article discusses sample size reassessment within the context of Bayesian hybrid clinical trials. The focus is on a specific methodological area within clinical trial design, likely exploring statistical techniques for adapting sample sizes during the trial based on accumulating data. The use of 'Bayesian' suggests the application of Bayesian statistical methods, and 'hybrid' implies a combination of different trial designs or approaches. The ArXiv source indicates this is a pre-print or research paper.

Key Takeaways

    Reference

    “”

    PermalinkArXiv
    Technology#Machine Learning👥 CommunityAnalyzed: Jan 3, 2026 06:26

    Machine Learning: The High Interest Credit Card of Technical Debt (2014)

    Published:Jun 18, 2018 19:48
    1 min read
    Hacker News

    Analysis

    The article's title suggests a critical perspective on the use of machine learning, framing it as a source of accumulating technical debt. This implies potential long-term costs and complexities associated with ML projects. The 2014 date indicates the article is likely discussing the early stages of widespread ML adoption, when best practices and tooling were less mature.
    Reference

    “”

    PermalinkHacker News
    Research#ML Debt👥 CommunityAnalyzed: Jan 10, 2026 17:35

    The Hidden Costs of Machine Learning: Technical Debt Accumulation

    Published:Oct 6, 2015 13:10
    1 min read
    Hacker News

    Analysis

    This 2014 article highlights the often-overlooked technical debt inherent in machine learning projects. It emphasizes the long-term costs associated with complex models, data dependencies, and the maintenance challenges they create.
    Reference

    “The article's title itself uses the analogy of a high-interest credit card, indicating the accumulating costs.”

    PermalinkHacker News
    Research#ML Debt👥 CommunityAnalyzed: Jan 10, 2026 17:40

    Machine Learning and Technical Debt: A Growing Problem

    Published:Dec 20, 2014 03:23
    1 min read
    Hacker News

    Analysis

    The article's title suggests a critical perspective on machine learning, framing it as a source of accumulating technical debt. This implies the need for careful consideration of the long-term implications of implementing ML solutions.

    Key Takeaways

    Reference

    “The article likely discusses the accumulation of technical debt associated with Machine Learning projects.”

    PermalinkHacker News