Arcanum12th

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Как запускать LLM локально с LM Studio: Полное руководство 2026

Полное руководство по LM Studio: установка, модели, CLI, интеграция API и сравнение с Ollama для локального развёртывания LLM

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How to Run LLMs Locally with LM Studio: Complete Guide 2026

Complete guide to LM Studio: setup, models, CLI, API integration, and comparison with Ollama for local LLM deployment

New test from author profile 2.0

New test from author profile 2.0

New test from author profile

#Tarot
#Artifacts
#Totems
Time as Medicine: Prospective ASRP Research in Biomedicine

Time as Medicine: Prospective ASRP Research in Biomedicine

الوقت كدواء - مقال عن اتجاه واعد في أبحاث الطب الحيوي ASRP، حيث يتم تطوير فئة جديدة من العلاج: بدلاً من الجزيئات، يصبح العامل النشط هو الإيقاع الزمني المعدل محليًا. بالاعتماد على الفيزياء الحيوية والطب النظامي والفرضيات حول عدم تجانس الوقت في الأنسجة الحية، تبحث فريق ASRP في كيفية ارتباط عدم التزامن الزمني بالأمراض وكيف يمكن لتصحيحه تسريع التجدد، إبطاء التنكس وفتح صيغ جديدة للعلاج الطبيعي. هذه أبحاث مبكرة وتجريبية على حدود العلم والنظرية، تشكل أساسًا لـ "الطب الزمني" المحتمل في المستقبل.

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The Relationship Between Crystalline Structures and Biological Systems: The Ovsyannikova–Banchenko Hypothesis. Part II

Гипотеза Овсянникова-Банченко II

#Totems
#Magical Technologies
The Relationship Between Crystalline Structures and Biological Systems: The Ovsyannikova–Banchenko Hypothesis. Part I

The Relationship Between Crystalline Structures and Biological Systems: The Ovsyannikova–Banchenko Hypothesis. Part I

This article examines hypothetical mechanisms through which crystalline structures and form-related factors may influence biological systems, with particular focus on integrative regulatory centers of the nervous and endocrine systems. The work draws on contemporary concepts of nonlinear dynamics, distributed regulatory nodes, weak fields, and morphogenetic effects that extend beyond classical anatomo-physiological models. A multidisciplinary framework is proposed, linking physico-biological processes, subjective experience, and systemic effects of weak interactions.

TRON - Япония, 1980‑е: рождение ОС, опередившей своё время

TRON - Япония, 1980‑е: рождение ОС, опередившей своё время

Построение инфраструктуры AI-агентов: три пути от хаоса к масштабируемым системам

Построение инфраструктуры AI-агентов: три пути от хаоса к масштабируемым системам

Наш опыт работы с клиентом, которому мы помогли превратить один большой AI-монорепозиторий в структурированную экосистему агентов, инструментов и регистров.

Voice AI systems based on Jambonz: from telephony to human-machine dialogue

Voice AI systems based on Jambonz: from telephony to human-machine dialogue

From Popov's experiments with radio communication to AI calls — how telephony became the foundation of smart communications

Biologically harmonized neurointerfaces: from invasive electrodes to autologous organoids

Biologically harmonized neurointerfaces: from invasive electrodes to autologous organoids

Invasive neurointerfaces (Utah array, Neuropixels, Neuralink) demonstrate remarkable outcomes in short-term experiments; however, their durability and biocompatibility remain limited. The formation of glial scars, mechanical mismatch, and chronic inflammation reduce signal quality and constrain neuroplasticity. This article discusses the prospects of transitioning from rigid electrode-based systems to biological solutions, including autologous neural organoids and hybrid tissue interfaces, which are capable of integrating into the brain and supporting natural mechanisms of self-learning. Keywords: Neurointerfaces, BCI, brain, biohybrid

Building an App Store Review Analysis Pipeline with Python NLP & Data Visualization

Building an App Store Review Analysis Pipeline with Python NLP & Data Visualization

An AI-driven experiment on how App Store data can reveal market, social, and consumer trends

Google ADK and “Startup Technical Guide: AI Agents”: how Google is redefining the way AI agents are built

Google ADK and “Startup Technical Guide: AI Agents”: how Google is redefining the way AI agents are built

Agent architecture: ADK, MCP, Vertex, and A2A in a single ecosystem