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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

Jun 14, 2026 · Artificial Intelligence

How HRM-Text-1B Beats Scaling Laws with 0.1% Data and Hundreds‑Fold Compute Savings

HRM-Text-1B, a brain‑inspired hierarchical language model, achieves strong benchmark scores while using only 0.1% of the training tokens of comparable models, cutting compute costs by 96‑432× through a novel H/L module architecture, MagicNorm stabilization, and a focused instruction‑response training objective.

Efficient PretrainingHRM-TextHierarchical Architecture

0 likes · 9 min read

How HRM-Text-1B Beats Scaling Laws with 0.1% Data and Hundreds‑Fold Compute Savings

SuanNi

Jun 13, 2026 · Artificial Intelligence

Why You Should Stop Hand‑Writing Prompts: Loop Engineering Lets AI Run Itself

The article explains Loop Engineering—a three‑layered approach that moves AI from manual prompt writing to autonomous loops, detailing its core components, practical implementations in Codex and Claude Code, and the trade‑offs such as token cost, comprehension debt, and design complexity.

AI AgentsAutomationLoop Engineering

0 likes · 12 min read

Why You Should Stop Hand‑Writing Prompts: Loop Engineering Lets AI Run Itself

SuanNi

Jun 13, 2026 · Artificial Intelligence

From Claude Fable 5 Shutdown to GLM‑5.2 Full Release: Implications for Frontier AI

Claude Fable 5 was launched and then suspended within three days amid regulatory calls and performance complaints, while Zhipu AI simultaneously opened its GLM‑5.2 model to all users with a 1 million‑token context, open‑source MIT licensing, and claims of top‑tier coding ability.

AI benchmarkingClaude Fable 5GLM-5.2

0 likes · 4 min read

From Claude Fable 5 Shutdown to GLM‑5.2 Full Release: Implications for Frontier AI

SuanNi

Jun 12, 2026 · Artificial Intelligence

Kimi K2.7 Code Goes Open: 30% Token Savings and Major Coding Performance Boost

Kimi K2.7 Code, now open‑source on HuggingFace, reduces token consumption by ~30% and boosts coding benchmark scores—Kimi Code Bench v2 climbs from 50.9 to 62.0, Program‑Bench from 48.3 to 53.6, MLS Bench Lite from 26.7 to 35.1—narrowing the gap with GPT‑5.5 and Claude Opus, all built on a 1‑trillion‑parameter MoE architecture with INT4 quantization and a 256K‑token context.

Kimi K2.7LLM benchmarksMoE architecture

0 likes · 6 min read

Kimi K2.7 Code Goes Open: 30% Token Savings and Major Coding Performance Boost

SuanNi

Jun 12, 2026 · Artificial Intelligence

Recursive AI’s First Results: SOTA on Three Key Benchmarks

Recursive’s new AI research system automatically generates and validates ideas, code, and experiments, and its first release beats state‑of‑the‑art on three benchmarks—fixed‑budget language‑model training, small‑model training speed, and GPU kernel efficiency—while detailing its methodology, reward‑cheating safeguards, and open‑source results.

AI benchmarksGPU kernel optimizationRecursive AI

0 likes · 8 min read

Recursive AI’s First Results: SOTA on Three Key Benchmarks

SuanNi

Jun 12, 2026 · Industry Insights

Who Will Build the Next Billion Jobs as Money Flows to AI?

The article argues that while AI attracts massive investment, the looming gap of eight hundred million jobs for the next billion workers can only be filled by entrepreneurs who adapt technology to local markets, supported by skill development, accessible infrastructure, and fair governance.

AIEntrepreneurshipSMEs

0 likes · 7 min read

Who Will Build the Next Billion Jobs as Money Flows to AI?

SuanNi

Jun 11, 2026 · Artificial Intelligence

Why the Human Turing Test Is No Longer Enough: Agents’ Last Exam Benchmark

The article introduces Agents’ Last Exam (ALE), a comprehensive benchmark created by Berkeley and over 250 experts to evaluate generalist computer‑use agents on real‑world, multi‑step workflows across 55 sub‑fields, revealing that even the strongest models achieve only single‑digit pass rates.

AI AgentsClaudeGPT-5.5

0 likes · 13 min read

Why the Human Turing Test Is No Longer Enough: Agents’ Last Exam Benchmark

SuanNi

Jun 11, 2026 · Artificial Intelligence

Anthropic CEO Calls to ‘Cage’ Claude Fable 5 – Is Immediate AI Regulation Needed?

Anthropic’s Dario Amodei argues that the rapid, exponential growth of models like Claude Fable 5 has outpaced policy, urging hard regulation to prevent AI‑driven security, economic, and societal risks while outlining concrete measures across safety, macro‑economics, acceleration, national security, and leadership.

AI policyAI regulationAI risk

0 likes · 10 min read

Anthropic CEO Calls to ‘Cage’ Claude Fable 5 – Is Immediate AI Regulation Needed?

SuanNi

Jun 11, 2026 · Artificial Intelligence

How Code Serves as the Harness for AI Agents: Insights from UIUC, Meta, and Stanford

The article analyzes how code—broadly defined as any executable or machine‑checkable artifact—acts as the core harness that connects large language models to the real world, detailing its roles in reasoning, acting, environment modeling, planning, memory, tool use, multi‑agent collaboration, and the safety challenges that arise.

AI AgentsLLMMemory Management

0 likes · 11 min read

How Code Serves as the Harness for AI Agents: Insights from UIUC, Meta, and Stanford

SuanNi

Jun 10, 2026 · Artificial Intelligence

Anthropic’s Claude Fable 5 and Mythos 5: 50 M‑Line Code Migration in One Day

Anthropic released two new Claude models—Fable 5, open to all users with a safety classifier, and Mythos 5, a restricted, high‑security version—both achieving record‑breaking performance on software‑engineering, research, vision, and long‑context tasks, while offering a pricing model of $10 per M input tokens and $50 per M output tokens.

AI benchmarksClaude Fable 5Mythos 5

0 likes · 11 min read

Anthropic’s Claude Fable 5 and Mythos 5: 50 M‑Line Code Migration in One Day