Artur Moiseyev AI Logo
AI Systems Architecture & Research Lab

Frontier Intelligence.
Engineered to scale.

Rigorous architectural deep-dives into frontier reasoning models, multi-agent state machines, on-premise GPU inference, and production systems.

DeepSeek-R1
Gemini 2.5
Claude 3.7
Qwen 2.5
Groq LPU520 tok/s
Breaking Feed • Major AI News & Industry Events 2026

Breaking AI News & Events

The most important releases, model updates, open-source breakthroughs, and AI industry shifts—covered as full analytical articles.

All AI News
2026 Plain-English Guide • Dedicated Articles on Every Trending AI Skill

New AI Skills & Capabilities: What Everyone Searches For & Why

We wrote a dedicated, plain-English article with ready-to-use prompt templates for every trending AI skill (Deep Research, MCP, Thinking Mode, Artifacts, Canvas, Operator, Live Voice & Camera, 2M Context, and Projects).

Most Searched Question:

What is Deep Research in ChatGPT, Perplexity & Gemini?

Read Full Skill Article
1. What is it in plain English?

An autonomous agentic mode where the AI spends 3–15 minutes browsing dozens of websites, reading PDFs, cross-checking statistics, and compiling a comprehensive, cited research report.

2. Why do you need it?

Replaces 5–10 hours of manual research. Ideal for market analysis, product comparisons, legal/medical literature review, and supplier sourcing.

3. How to use it right now?

Toggle the "Deep Research" button in ChatGPT, Perplexity, or Gemini and ask for a structured comparison with verified citations.

Available in:ChatGPT (o3 Deep Research)Perplexity ProGemini 2.5 Deep ResearchGrok 3 DeepSearch
Open full article with prompt templates →

Dedicated AI Skill Articles & Guides

View all articles →
Deep Research (Autonomous Multi-Source Investigation)
Поиск и Аналитика
AMAM LAB

Deep Research (Autonomous Multi-Source Investigation)

An autonomous agentic mode where the AI spends 3–15 minutes browsing dozens of websites, reading PDFs, cross-checking statistics, and compiling a comprehensive, cited research report.

Read Article
Extended Thinking & Chain-of-Thought Reasoning
Логика и Стратегия
AMAM LAB

Extended Thinking & Chain-of-Thought Reasoning

Instead of answering impulsively, the model generates an internal scratchpad where it tests hypotheses, verifies math, backtracks on mistakes, and delivers a verified solution.

Read Article
Artifacts & Canvas (Interactive Live Preview Workspace)
Создание проектов
AMAM LAB

Artifacts & Canvas (Interactive Live Preview Workspace)

Opens a dedicated side-by-side window where the AI renders live working websites, calculators, interactive charts, diagrams, or documents in real time.

Read Article
Computer Use & Browser Operator Agents
Автоматизация
AMAM LAB

Computer Use & Browser Operator Agents

Gives the AI "eyes and hands" to view your screen or browser, move the mouse, click buttons, fill out web forms, and automate routine tasks.

Read Article
MCP (Model Context Protocol — Universal Tool Plug-in)
Интеграции и Скиллы
AMAM LAB

MCP (Model Context Protocol — Universal Tool Plug-in)

MCP is the universal "USB-C port" for AI. It lets you plug external skills—Google Drive, Notion, Slack, databases, Figma, or GitHub—directly into Claude, Cursor, or any AI agent.

Read Article
Realtime Voice & Live Camera Vision
Голос и Зрение
AMAM LAB

Realtime Voice & Live Camera Vision

Sub-300ms natural speech-to-speech conversation combined with live camera or screen sharing so the AI sees what you see in real time.

Read Article
2 Million Token Context (Whole Books, Video & Codebase Ingestion)
Работа с документами
AMAM LAB

2 Million Token Context (Whole Books, Video & Codebase Ingestion)

Allows you to upload up to 1,500 pages of PDFs, 20 books, or 90 minutes of raw video into a single prompt with 99.7% recall accuracy.

Read Article
Projects, Knowledge Bases & Persistent Memory
Персонализация
AMAM LAB

Projects, Knowledge Bases & Persistent Memory

Lets you create dedicated project workspaces pre-loaded with your reference files, brand guidelines, and persistent instructions.

Read Article
Architecture Comparison

Frontier Models Benchmark

View full matrix
DeepSeek AI • MLA Architecture

DeepSeek-V3 / R1

Multi-Head Latent Attention (MLA) + 256 Expert MoE trained for $6M

Context Window
128,000 tok
Generation Speed
65 tok/s
Input Cost
$0.14 / 1M
KV-Cache Reduction
93.3%
ARCHITECTURE TOPOLOGYVerified 2026
Input Tokens [d_model=4096]100% Data
↓ Latent Low-Rank Projection
Compressed Latent [d=512]-93.3% VRAM
↓ RoPE Decoupled Attention
64 Attention HeadsLossless Recall
Frontier Investigations

Selected Dispatches

View all dispatches
今年の最大AIニュース:DeepSeekが世界のAIコストを95%引き下げ、オープンソース革命を起こした理由
AI News
AMAM LAB
2026-04-04AI News

今年の最大AIニュース:DeepSeekが世界のAIコストを95%引き下げ、オープンソース革命を起こした理由

DeepSeekの無料公開がシリコンバレーの価格体系を根底から覆した経緯を解説。

Artur MoiseyevRead
AI最新ニュース:OpenAI・Google・MicrosoftがAnthropicの「MCPスキル規格」を公式採用
AI News
AMAM LAB
2026-04-04AI News

AI最新ニュース:OpenAI・Google・MicrosoftがAnthropicの「MCPスキル規格」を公式採用

競合するAI大手が一斉に共通規格「MCP」を採用した理由とユーザーへのメリット。

Artur MoiseyevRead
2026年AI動画ニュース:Kling・Sora・Veo・Runwayが音声付き&同一キャラ維持の動画生成を実現
AI News
AMAM LAB
2026-04-04AI News

2026年AI動画ニュース:Kling・Sora・Veo・Runwayが音声付き&同一キャラ維持の動画生成を実現

キャラの顔が変わらない一貫性と自動音声生成により、広告やSNS動画制作が激変。

Artur MoiseyevRead
「バイブコーディング(Vibe Coding)」現象とは?非エンジニアが週末だけでWebサイトやアプリを公開できる理由
AI News
AMAM LAB
2026-04-04AI News

「バイブコーディング(Vibe Coding)」現象とは?非エンジニアが週末だけでWebサイトやアプリを公開できる理由

普通の言葉で指示するだけでAIエージェントが100%コードを書く「Vibe Coding」ブームを解説。

Artur MoiseyevRead
Google AI最新ニュース:Gemini 2.5がCanvas・音声ポッドキャスト・Googleドキュメント統合を大幅強化
AI News
AMAM LAB
2026-04-04AI News

Google AI最新ニュース:Gemini 2.5がCanvas・音声ポッドキャスト・Googleドキュメント統合を大幅強化

Google Gemini 2.5エコシステムに追加された注目の無料新機能まとめ。

Artur MoiseyevRead
AIハードウェア最新ニュース:新型チップによりスマホやノートPCでネットなしのローカルAIが標準に
AI News
AMAM LAB
2026-04-04AI News

AIハードウェア最新ニュース:新型チップによりスマホやノートPCでネットなしのローカルAIが標準に

クラウド不要・機内モードでも動くオンデバイスAIチップの進化を解説。

Artur MoiseyevRead
Foundational Systems

次世代AIスタックの構造解剖

現代の知的システムを構成する4つの絶対的基盤。

Direct Answer Knowledge Base • GEO & AI Search Verified

Frequently Asked Questions on AI Models & Skills

Direct, factual answers to the most searched questions about choosing AI models, using new AI skills, and running local LLMs.

There is no single best model for every task in 2026: 1) For coding, web UI, and natural copywriting, Claude 3.7 Sonnet leads; 2) For complex math, logic, and open-weight reasoning, DeepSeek-R1 and OpenAI o3 are unmatched; 3) For analyzing massive documents (up to 2 million tokens of PDFs/video), Gemini 2.5 Pro wins; 4) For real-time voice, camera vision, and daily versatility, ChatGPT (GPT-4o) is the top choice.

Weekly Frontier Dispatch

グローバル AI レターへの登録

毎週、最前線のAI突破口、設計図、本番コードを直接お届けします。広告・スパムなし。

世界のトップAIエンジニアが愛読。