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.
Ancient DNA studies reveal that between 6500 and 4000 BCE, descendants of western Anatolian farmers mixed with local hunter-gatherers across Europe, leading to a 70–100% ancestry turnover in most regions, with a notable exception in the wetland areas of the Netherlands, Belgium, and western Germany where hunter-gatherer ancestry persisted for a longer period.
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.
A study investigated the evolution of social norms across 90 societies, finding a global trend toward more permissive norms overall, except for behaviors considered vulgar or inconsiderate, and linking these norms to underlying moral values.
A new study reveals that caffeine increases the complexity of brain activity during sleep, especially in younger adults, potentially disrupting the brain’s ability to recover overnight. Researchers used EEG and AI to analyze sleep in 40 adults after caffeine or placebo intake, identifying less predictable brain signals and increased wake-like brainwave patterns.
>"New research reveals LUCA, Earth’s last universal common ancestor, was a complex organism shaping early ecosystems 4.2 billion years ago."
The study details LUCA's age, genetic makeup, metabolism, and ecological role, suggesting life may have emerged rapidly after Earth's formation and could exist on other planets.
* LUCA lived around 4.2 billion years ago, potentially before the Late Heavy Bombardment.
* Researchers used a refined molecular clock analysis focusing on gene duplication *before* LUCA’s emergence.
* LUCA’s genome was surprisingly complex, containing at least 2.5 megabases and around 2,600 proteins.
* Evidence suggests LUCA possessed an early form of an immune system, indicating the presence of viruses at the time.
* LUCA utilized anaerobic metabolism (acetogenesis) and fed on hydrogen and carbon dioxide.
* LUCA’s metabolic byproducts served as a food source for other microbes, forming early recycling ecosystems.
* Shared traits like the universal genetic code and ATP reliance trace back to LUCA.
* The research combined fossil records, isotopic data, genetic timelines, and biogeochemical models.
* The study suggests life may have emerged rapidly after Earth’s formation, and could potentially exist on other planets.
The study details LUCA's age, genetic makeup, metabolism, and ecological role, suggesting life may have emerged rapidly after Earth's formation and could exist on other planets.
* LUCA lived around 4.2 billion years ago, potentially before the Late Heavy Bombardment.
* Researchers used a refined molecular clock analysis focusing on gene duplication *before* LUCA’s emergence.
* LUCA’s genome was surprisingly complex, containing at least 2.5 megabases and around 2,600 proteins.
* Evidence suggests LUCA possessed an early form of an immune system, indicating the presence of viruses at the time.
* LUCA utilized anaerobic metabolism (acetogenesis) and fed on hydrogen and carbon dioxide.
* LUCA’s metabolic byproducts served as a food source for other microbes, forming early recycling ecosystems.
* Shared traits like the universal genetic code and ATP reliance trace back to LUCA.
* The research combined fossil records, isotopic data, genetic timelines, and biogeochemical models.
* The study suggests life may have emerged rapidly after Earth’s formation, and could potentially exist on other planets.
This article details an iterative process of using ChatGPT to explore the parallels between Marvin Minsky's "Society of Mind" and Anthropic's research on Large Language Models, specifically Claude Haiku. The user experimented with different prompts to refine the AI's output, navigating issues like model confusion (GPT-2 vs. Claude) and overly conversational tone. Ultimately, prompting the AI with direct source materials (Minsky’s books and Anthropic's paper) yielded the most insightful analysis, highlighting potential connections like the concept of "A and B brains" within both frameworks.
This blog post details an experiment testing the ability of LLMs (Gemini, ChatGPT, Perplexity) to accurately retrieve and summarize recent blog posts from a specific URL (searchresearch1.blogspot.com). The author found significant issues with hallucinations and inaccuracies, even in models claiming live web access, highlighting the unreliability of LLMs for even simple research tasks.
The Institute of Foundation Models at MBZUAI focuses on advancing research in Generative AI, developing foundation models for various data types, and driving innovation in healthcare, climate change, and sustainability.
