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Research#llm📝 BlogAnalyzed: Dec 28, 2025 10:00

Hacking Procrastination: Automating Daily Input with Gemini's "Reservation Actions"

Published:Dec 28, 2025 09:36
1 min read
Qiita AI

Analysis

This article discusses using Gemini's "Reservation Actions" to automate the daily intake of technical news, aiming to combat procrastination and ensure consistent information gathering for engineers. The author shares their personal experience of struggling to stay updated with technology trends and how they leveraged Gemini to solve this problem. The core idea revolves around scheduling actions to deliver relevant information automatically, preventing the user from getting sidetracked by distractions like social media. The article likely provides a practical guide or tutorial on how to implement this automation, making it a valuable resource for engineers seeking to improve their information consumption habits and stay current with industry developments.
Reference

"技術トレンドをキャッチアップしなきゃ」と思いつつ、気づけばXをダラダラ眺めて時間だけが過ぎていく。

Research#Surgical AI🔬 ResearchAnalyzed: Jan 10, 2026 12:34

AI Generates Improved Surgical Videos from Multi-Camera Setups

Published:Dec 9, 2025 13:15
1 min read
ArXiv

Analysis

This research explores a novel application of AI in medical imaging, potentially improving the quality and usability of surgical videos. The use of multi-camera setups and shadowless lamps is promising for creating clearer and more informative surgical footage.
Reference

The research focuses on generating disturbance-free surgical videos.

Research#AI Architecture📝 BlogAnalyzed: Dec 29, 2025 07:27

V-JEPA: AI Reasoning from a Non-Generative Architecture with Mido Assran

Published:Mar 25, 2024 16:00
1 min read
Practical AI

Analysis

This article discusses V-JEPA, a new AI model developed by Meta's FAIR, presented as a significant advancement in artificial reasoning. It focuses on V-JEPA's non-generative architecture, contrasting it with generative models by emphasizing its efficiency in learning abstract concepts from unlabeled video data. The interview with Mido Assran highlights the model's self-supervised training approach, which avoids pixel-level distractions. The article suggests V-JEPA could revolutionize AI by bridging the gap between human and machine intelligence, aligning with Yann LeCun's vision.
Reference

V-JEPA, the video version of Meta’s Joint Embedding Predictive Architecture, aims to bridge the gap between human and machine intelligence by training models to learn abstract concepts in a more efficient predictive manner than generative models.

Analysis

This article summarizes a Lex Fridman podcast episode featuring Cal Newport, a computer scientist and productivity author. The episode covers various topics including deep work, focus, time blocking, deadlines, social media usage, and email's impact on productivity. The article provides timestamps for different segments of the podcast, allowing listeners to easily navigate the discussion. It also includes links to sponsors and resources related to the episode and the guest. The focus is on practical advice and strategies for improving work habits and managing digital distractions.
Reference

The episode covers topics like deep work, focus, and social media.