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***** SPECIAL REPORT *****

AI: State of the Art January 1, 2026

 a comprehensive, structured report on the state of the art in Artificial Intelligence as of early 2026, covering foundation models, large language models (LLMs), autonomous AI agents, decentralization, and DAOs, with a focus on trends, technical capabilities, economic impact, governance, and emerging architectures. All major points are grounded in the latest developments and authoritative sources.

Organizations Using Agentic Science

Emerging leaders in AI driven autonomous scientific discovery

Agentic AI Research Articles

Comprehensive list from PubMed, arXiv, and ResearchGate.

The A Team!

 As of January 2026, the field of longevity research—focusing on extending healthy human lifespan through understanding aging biology, interventions like senolytics, epigenetics, and regenerative medicine—features several prominent scientists whose work has shaped the discipline. Based on analyses of recent conferences, breakthroughs, publications, and discussions, here is a curated list of top longevity researchers. This is not exhaustive but highlights those frequently cited for impactful contributions, organized alphabetically by last name. Each includes key affiliations, notable achievements, areas of focus, and links to their laboratories or official web pages where available.

AI Foundation Models


AI foundation models are large-scale machine learning or deep learning models trained on vast datasets, enabling them to be adapted for a wide range of tasks across various domains, such as text, images, audio, and more.

Infographics

LLM Cheat Sheet

ChatGPT Cheat Sheet

AI Foundation Models

GPQA Benchmark Details

Details of GPQA, which stands for Graduate-Level Google-Proof Q & A Benchmark, is a dataset designed to evaluate the capabilities of AI systems in answering extremely difficult scientific questions that require deep domain expertise.

AI Agents

AI Agents Complete Guide

Basic Information, Components of AI Agents, Different Types of AI Agents, Applications of AI Agents, Challenges In Designing AI Agents

Top 5 Types of AI Agents

Self-Directed AI Agents, Collaborative Multi-Agent Systems, Cognitive AI Agents, Tool-Augmented AI Agents, Reflective (Self-Improving) Agents.



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🚧Under Construction Area🚧


Longevity Area


LEV The Game


DeSci Area


Report on AI Chips: Overview, Major Players, and Trends in 2026