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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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Latest from SuanNi

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SuanNi
SuanNi
May 16, 2026 · Artificial Intelligence

Can a 4B Small Model Replace Top‑Tier Closed‑Source LLMs? Microsoft’s Terminus‑4B Cuts Token Use by 30%

Microsoft’s research shows that a 4‑billion‑parameter small model, Terminus‑4B, can act as an execution sub‑agent for terminal tasks, trimming token consumption by about 30% while preserving performance on demanding SWE‑Bench benchmarks, demonstrating a practical alternative to costly large models.

AI programmingRL trainingSWE-bench
0 likes · 7 min read
Can a 4B Small Model Replace Top‑Tier Closed‑Source LLMs? Microsoft’s Terminus‑4B Cuts Token Use by 30%
SuanNi
SuanNi
May 15, 2026 · Product Management

How Anthropic’s AI‑Native Playbook Shows You to Build a Token‑Driven Startup

Anthropic’s 36‑page AI‑native founders playbook breaks the startup journey into idea, prototype, launch, and scale phases, detailing research‑driven validation, Claude Code‑powered development, automated testing, growth‑engine creation, and organizational scaling while warning of common pitfalls.

AIAutomationClaude Code
0 likes · 10 min read
How Anthropic’s AI‑Native Playbook Shows You to Build a Token‑Driven Startup
SuanNi
SuanNi
May 15, 2026 · Artificial Intelligence

Codex Gains Mobile Remote Control as Competition with Claude Code Heats Up

OpenAI's Codex now supports full‑screen mobile remote control via the ChatGPT app, letting developers monitor and approve tasks, switch models, and manage enterprise‑grade SSH environments from any device while maintaining a secure encrypted relay layer, sparking fierce rivalry with Claude Code.

AI AgentsClaude CodeCodex
0 likes · 6 min read
Codex Gains Mobile Remote Control as Competition with Claude Code Heats Up
SuanNi
SuanNi
May 14, 2026 · Artificial Intelligence

How a Pure‑Software Framework Boosts On‑Device AI Agents by 1.6×

KAIST researchers introduced Agent‑X, a pure‑software acceleration framework that eliminates prefill and decode bottlenecks on mobile devices, achieving a 1.61× end‑to‑end speedup for on‑device AI agents without any loss in task accuracy.

Agent-XKAISTdecode bottleneck
0 likes · 9 min read
How a Pure‑Software Framework Boosts On‑Device AI Agents by 1.6×
SuanNi
SuanNi
May 13, 2026 · Industry Insights

How LinkedIn Executives Say Success in the AI Era Depends on Being Human

LinkedIn’s chief opportunity officer explains that AI is reshaping jobs at unprecedented speed, urging leaders to abandon rigid hierarchies, adopt the 5C framework of human skills, and redesign workflows around AI rather than merely automating tasks.

5C FrameworkAIFuture of work
0 likes · 9 min read
How LinkedIn Executives Say Success in the AI Era Depends on Being Human
SuanNi
SuanNi
May 13, 2026 · Artificial Intelligence

How MiniCPM-V 4.6 Achieves Lightning‑Fast Multimodal AI on Smartphones (Open‑Source)

MiniCPM-V 4.6 combines a SigLIP2 visual encoder with a Qwen3.5 LLM, cuts FLOPs by over 50%, lowers token cost up to 43×, scores 13 on the Artificial Analysis Intelligence Index, and runs with 75 ms first‑token latency on 3136×3136 images across iOS, Android and HarmonyOS, all with fully open‑source code and extensive quantization support.

MiniCPM-Vbenchmarkmobile inference
0 likes · 6 min read
How MiniCPM-V 4.6 Achieves Lightning‑Fast Multimodal AI on Smartphones (Open‑Source)
SuanNi
SuanNi
May 12, 2026 · Artificial Intelligence

AntAngelMed: 6.1B‑Activated MoE Model Tops Three Medical Benchmarks

AntAngelMed, a 100‑billion‑parameter medical LLM using a 6.1 billion‑parameter MoE architecture, achieves performance comparable to a 40 billion‑parameter dense model, exceeds 200 tokens/s inference speed, and ranks first on HealthBench, MedAIBench and MedBench, with a three‑stage training pipeline and extensive efficiency optimizations.

HealthBenchLarge Language ModelMedAIBench
0 likes · 6 min read
AntAngelMed: 6.1B‑Activated MoE Model Tops Three Medical Benchmarks
SuanNi
SuanNi
May 12, 2026 · Industry Insights

AI Job Market 2026: LLM and Agent Roles Dominate 58% of 8,720 Positions

Based on 8,720 AI job postings from 528 companies, the 2026 AI employment report reveals an average salary of $226K, with LLM and Agent roles accounting for 58% of demand, hybrid work fetching the highest pay, and top salaries concentrated in leading labs and major tech hubs.

2026AI jobsAgent
0 likes · 8 min read
AI Job Market 2026: LLM and Agent Roles Dominate 58% of 8,720 Positions