Dan Russell argues for the necessity of proactive content capture to combat digital decay caused by link rot, content drift, and shifting search algorithms. Because the non-deterministic nature of LLMs makes re-finding specific generative outputs difficult, researchers should not rely on search as an external hard drive. Effective strategies include:
* Saving full pages via PDF or web clippers to ensure stability against paywalls or site changes.
* Using screenshots with OCR for quick capture of data and quotes.
* Exporting AI interactions immediately rather than relying on ephemeral chat histories.
* Practicing active sensemaking by adding personal notes at the moment of capture.
* Implementing a regular review process to maintain an organized knowledge management system instead of a digital junk drawer.
* Saving full pages via PDF or web clippers to ensure stability against paywalls or site changes.
* Using screenshots with OCR for quick capture of data and quotes.
* Exporting AI interactions immediately rather than relying on ephemeral chat histories.
* Practicing active sensemaking by adding personal notes at the moment of capture.
* Implementing a regular review process to maintain an organized knowledge management system instead of a digital junk drawer.
This article explores the predictable trajectory of technological evolution, arguing that the "slippery slope" is driven by technical affordances and economic or social incentives rather than sudden catastrophe. The author posits that well-intentioned innovations often drift into unintended, problematic territories as their capabilities are expanded to meet new profit motives or convenience requirements.
- How surveillance tools like license plate readers and facial recognition expand from targeted monitoring into mass surveillance infrastructures.
- The phenomenon of enshittification in digital economies through the shift toward aggressive subscription models.
- The unintended public health consequences seen in products like vaping, which were designed for smoking cessation but contributed to youth nicotine addiction.
- How surveillance tools like license plate readers and facial recognition expand from targeted monitoring into mass surveillance infrastructures.
- The phenomenon of enshittification in digital economies through the shift toward aggressive subscription models.
- The unintended public health consequences seen in products like vaping, which were designed for smoking cessation but contributed to youth nicotine addiction.
Dan Russell shares an observation from a recent diving trip regarding a peculiar behavior where two different fish species swim in tight formation, such as a Spanish hogfish being closely followed by a Trumpetfish.
The post poses research questions to the community about the name of this phenomenon, its biological purpose, and which other combinations of species might exhibit similar patterns.
The post poses research questions to the community about the name of this phenomenon, its biological purpose, and which other combinations of species might exhibit similar patterns.
This article examines how "vibe coding" – using LLMs to rapidly generate custom software – is transforming sensemaking and data visualization. Previously, bespoke tools demanded significant engineering resources or platform knowledge.
However, the emergence of AI has lowered these barriers, allowing users to create "disposable" interactive tools tailored to specific research tasks.
This empowers non-experts as "directors of design," but the author cautions against mindless trial-and-error, emphasizing the difference between exploratory tools for finding truth and classic visualizations for explaining it.
However, the emergence of AI has lowered these barriers, allowing users to create "disposable" interactive tools tailored to specific research tasks.
This empowers non-experts as "directors of design," but the author cautions against mindless trial-and-error, emphasizing the difference between exploratory tools for finding truth and classic visualizations for explaining it.
This article discusses how to conduct long-term research effectively using AI as a partner, moving beyond single-prompt queries. It emphasizes the need for "Long-Term Triangulation" – a continuous, iterative methodology. The author outlines four key pillars: building a persistent memory for the AI, tracking shifts in the AI's understanding, actively critiquing its responses with contradictory data, and performing meta-audits to identify blind spots in the research process. The goal is to foster productive friction and avoid intellectual echo chambers, ensuring both the human and the AI think critically.
A workshop at CHI 2026 in Barcelona focusing on how sensemaking is being changed by AI, including submissions for papers on sensemaking behaviors, tools, and the role of AI. The workshop will involve presentations, group discussions, and the development of insights into the evolving field of sensemaking.
This article discusses how AI tools can be used to enhance the reading experience by providing instant access to information and background details, similar to using a dictionary or Wikipedia, but with the ability to ask more complex questions. The author shares personal examples of using AI while reading 'The Dark Forest' and other books to clarify plot points and gain a better understanding of the material.
An analysis of the accuracy of image search tools like Google Lens, Gemini, and Bing, highlighting that while Google Lens is the most reliable, all tools can make mistakes and should be verified. The article uses examples from Yale University architecture to demonstrate these inaccuracies.
Explores how each generation believes it's uniquely facing unprecedented challenges, while often forgetting the struggles of those who came before. It discusses the cyclical nature of history and the tendency to view the present as uniquely fraught.
A review of the SearchResearch blog's 2025 posts, highlighting a shift towards AI-augmented research methods, testing AI tools, and emphasizing the importance of verification and critical thinking in online research.
