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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!"

Analysis

This paper bridges the gap between cognitive neuroscience and AI, specifically LLMs and autonomous agents, by synthesizing interdisciplinary knowledge of memory systems. It provides a comparative analysis of memory from biological and artificial perspectives, reviews benchmarks, explores memory security, and envisions future research directions. This is significant because it aims to improve AI by leveraging insights from human memory.
Reference

The paper systematically synthesizes interdisciplinary knowledge of memory, connecting insights from cognitive neuroscience with LLM-driven agents.

Analysis

This article discusses how to effectively collaborate with AI, specifically Claude Code, on long-term projects. It highlights the limitations of relying solely on AI for such projects and emphasizes the importance of human-defined project structure, using a combination of WBS (Work Breakdown Structure) and /auto-exec commands. The author shares their experience of initially believing AI could handle everything but realizing that human guidance is crucial for AI to stay on track and avoid getting lost or deviating from the project's goals over extended periods. The article suggests a practical approach to AI-assisted project management.
Reference

When you ask AI to "make something," single tasks go well. But for projects lasting weeks to months, the AI gets lost, stops, or loses direction. The combination of WBS + /auto-exec solves this problem.

Research#Medical AI🔬 ResearchAnalyzed: Jan 10, 2026 07:42

AI-Powered Magnetic Catheter Control for Enhanced Medical Procedures

Published:Dec 24, 2025 09:09
1 min read
ArXiv

Analysis

This research explores the application of LSTM and reinforcement learning for controlling magnetically actuated catheters, which could revolutionize minimally invasive medical procedures. The paper's contribution lies in combining these AI techniques to provide precise and adaptive control of medical devices.
Reference

The research focuses on LSTM-based modeling and reinforcement learning for catheter control.

Ask HN: How to Improve AI Usage for Programming

Published:Dec 13, 2025 15:37
2 min read
Hacker News

Analysis

The article describes a developer's experience using AI (specifically Claude Code) to assist in rewriting a legacy web application from jQuery/Django to SvelteKit. The author is struggling to get the AI to produce code of sufficient quality, finding that the AI-generated code is not close enough to their own hand-written code in terms of idiomatic style and maintainability. The core problem is the AI's inability to produce code that requires minimal manual review, which would significantly speed up the development process. The project involves UI template translation, semantic HTML implementation, and logic refactoring, all of which require a deep understanding of the target framework (SvelteKit) and the principles of clean code. The author's current workflow involves manual translation and component creation, which is time-consuming.
Reference

I've failed to use it effectively... Simple prompting just isn't able to get AI's code quality within 90% of what I'd write by hand.

Analysis

This article from AINOW focuses on optimizing the use of AI, specifically ChatGPT, for creating meeting minutes. It addresses a common pain point: the time-consuming nature of manual minute-taking. The promise of the article is to provide actionable techniques and ready-to-use examples to improve the efficiency and quality of AI-generated minutes. The article's value lies in its practical approach, offering concrete solutions rather than abstract advice. By providing copy-pasteable examples, it lowers the barrier to entry for users who may be unfamiliar with prompt engineering. The focus on efficiency and quality suggests a balanced approach to leveraging AI for productivity.
Reference

"Are you struggling with spending too much time on creating meeting minutes, hindering other important tasks?"

Technology#AI Search👥 CommunityAnalyzed: Jan 3, 2026 06:12

Bard and new AI features in Search

Published:Feb 6, 2023 19:01
1 min read
Hacker News

Analysis

The article announces new AI features, likely focusing on Google's Bard and its integration with Search. The focus is on the application of AI in search and information retrieval.
Reference