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SuanNi
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SuanNi

A community for AI developers that aggregates large-model development services, models, and compute power.

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Recent Articles

Latest from SuanNi

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SuanNi
SuanNi
Apr 21, 2026 · Artificial Intelligence

How Qwen3.6‑35B‑A3B Matches Dense Models with Only 30 B Active Parameters

The article analyzes Qwen3.6‑35B‑A3B’s MoE architecture, showing how its 30 B active parameters outperform larger dense models across programming, agent, and multimodal benchmarks, and examines the flagship Qwen3.6‑Max‑Preview’s substantial gains in world knowledge, instruction following, and third‑party rankings.

AI evaluationLarge Language ModelMixture of Experts
0 likes · 5 min read
How Qwen3.6‑35B‑A3B Matches Dense Models with Only 30 B Active Parameters
SuanNi
SuanNi
Apr 21, 2026 · Artificial Intelligence

Why AI Video Generation Is Leaving the Silent Era: Architecture, Alignment, and Evaluation Insights

This article analyzes the rapid evolution of multimodal video generation models from separated visual‑audio pipelines to unified diffusion Transformers, detailing VAE compression, MoE scaling, cross‑modal alignment techniques, comprehensive evaluation metrics, real‑world applications, and the remaining technical challenges.

Large ModelsVideo Generationaudio-visual alignment
0 likes · 15 min read
Why AI Video Generation Is Leaving the Silent Era: Architecture, Alignment, and Evaluation Insights
SuanNi
SuanNi
Apr 21, 2026 · Artificial Intelligence

How Kimi K2.6 Redefines AI Agents: Benchmarks, 300‑Agent Cluster, and Full‑Stack Development

Kimi K2.6 demonstrates a dramatic leap in general intelligence, code generation, and visual understanding, breaking multiple industry records, sustaining 13‑hour nonstop coding sessions, outperforming GPT‑5.4, Claude Opus 4.6 and Gemini 3.1 Pro, and introducing a 300‑agent collaborative architecture for full‑stack development.

AI modelAgent ArchitectureFull-Stack Development
0 likes · 10 min read
How Kimi K2.6 Redefines AI Agents: Benchmarks, 300‑Agent Cluster, and Full‑Stack Development
SuanNi
SuanNi
Apr 21, 2026 · Artificial Intelligence

Is AI the Next Evolutionary Leap for Scientific Discovery?

The article argues that AI represents the third major information‑evolution leap—after DNA and language—by turning large language models into research collaborators that can automate routine work, bridge tacit knowledge, and fundamentally reshape scientific publishing and evaluation.

AIFuture PublishingKnowledge Evolution
0 likes · 12 min read
Is AI the Next Evolutionary Leap for Scientific Discovery?
SuanNi
SuanNi
Apr 20, 2026 · Artificial Intelligence

How to Stop Context Rot in Claude Code: Rewind, Compact, and Sub‑Agents

This guide explains why massive token windows can cause context rot in Claude Code, demonstrates how to monitor usage, and walks through the /rewind, /clear, and /compact commands plus sub‑agent techniques to keep the model’s context clean and efficient.

AI prompt engineeringClaudeSession Management
0 likes · 8 min read
How to Stop Context Rot in Claude Code: Rewind, Compact, and Sub‑Agents
SuanNi
SuanNi
Apr 19, 2026 · Artificial Intelligence

Why External Cognition Is the New Engine Behind Reliable LLM Agents

The article analyzes how the success of large‑language‑model agents now hinges on external cognitive infrastructure—memory, skills, protocols, and a central Harness—rather than raw model parameters, outlining architectural evolution, practical challenges, and emerging industry trends.

AI industry trendsHarness frameworkLLM agents
0 likes · 15 min read
Why External Cognition Is the New Engine Behind Reliable LLM Agents
SuanNi
SuanNi
Apr 19, 2026 · Artificial Intelligence

Why Multimodal Video Models Still Miss the Mark: Inside the New Video‑MME‑v2 Benchmark

The Video‑MME‑v2 benchmark reveals that current multimodal video models, despite high leaderboard scores, struggle with genuine video understanding, thanks to a rigorous three‑layer evaluation, non‑linear scoring, and a meticulously curated 800‑video dataset that exposes their true intelligence limits.

AI evaluationVideo-MMElarge language models
0 likes · 10 min read
Why Multimodal Video Models Still Miss the Mark: Inside the New Video‑MME‑v2 Benchmark
SuanNi
SuanNi
Apr 18, 2026 · Industry Insights

Can AI Really Teach Us to Learn? Exploring the New Theory of Agentivism

The article examines how AI-driven tools reshape learning conditions, argues that high task performance does not equal true understanding, and introduces the four pillars of Agentivism—a framework for reclaiming active, deep learning in the age of generative AI.

AIAgentivismDigital Age
0 likes · 13 min read
Can AI Really Teach Us to Learn? Exploring the New Theory of Agentivism
SuanNi
SuanNi
Apr 18, 2026 · Artificial Intelligence

How GPT‑Rosalind Is Accelerating Drug Discovery with AI

OpenAI's GPT‑Rosalind model, designed for chemistry and genomics, demonstrates superior performance on scientific benchmarks, outperforms human experts, offers a rich plugin ecosystem, and implements strict access controls to help accelerate early-stage drug research while ensuring responsible AI use in life sciences.

AI governanceArtificial IntelligenceLarge Language Model
0 likes · 10 min read
How GPT‑Rosalind Is Accelerating Drug Discovery with AI
SuanNi
SuanNi
Apr 17, 2026 · Artificial Intelligence

How OpenAI’s Codex Upgrade Turns Into a Super App for Developers

OpenAI’s latest Codex update expands the AI coding assistant into a full‑featured Super App that can control the desktop, integrate dozens of development tools, remember user preferences, and autonomously plan and execute multi‑week software projects, reshaping how developers work.

AI coding assistantAI toolsCodex
0 likes · 7 min read
How OpenAI’s Codex Upgrade Turns Into a Super App for Developers