#Long March 10B
128 related articles
·5 min
U.S. Treasury Warns of AI Bubble Risk: Systemic Concerns and Investment Rationality
The U.S. Treasury has issued a rare internal warning that the AI investment boom may be forming an asset bubble, with valuations detached from fundamentals and systemic risks mounting.
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·3 min
Unsloth v0.1.46-beta Update: DiffusionGemma Tool Calling Disabled and Artifacts Canvas Enabled by Default
Unsloth v0.1.46-beta is out with key DiffusionGemma changes: tool calling disabled by default, artifacts canvas enabled. A deep dive for LLM fine-tuning devs.
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·2 min
Unsloth v0.1.461-beta: Fix for Local GGUF Vision Model Loading
Unsloth v0.1.461-beta fixes local GGUF vision model loading on llama-server in Studio, adds variant directory companion file lookup for stable multimodal deployment.
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·6 min
AI Bubble Alarm: Why Banks and Cloud Giants Are Sounding Warnings Together
As cloud giants like AWS and Azure and major banks issue AI bubble warnings, how should markets read this signal? A deep analysis of valuation risks, capex concerns, and the dialectic between tech value and bubble risk.
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·6 min
The Hidden Risks of .io and .ai Domains: You're Renting Another Country's Political Sovereignty
Are your .io and .ai domains really safe? A deep dive into the sovereignty risks behind ccTLDs: political power transfers threaten .io's survival, while Anguilla controls the entire AI brand ecosystem. A must-read domain risk guide for founders and developers.
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·5 min
Claude Sonnet 5 Integrated with Devin: Enhanced Coding Performance with 30% Lower Quota Consumption
Anthropic's Claude Sonnet 5 launches on Devin Desktop and CLI, delivering frontier-level coding performance while reducing quota consumption by ~30% compared to the previous generation.
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·7 min
OpenAI Codex Shortcuts Getting an Upgrade — How Will the AI Programming Experience Evolve?
OpenAI announces Codex shortcut upgrades focused on developer workflow optimization. Analysis of upgrade directions, industry competition, and expected improvements to code completion and natural language triggers.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·3 min
Databricks Tech Leaders: Why the Frontier AI Ecosystem Must Be Open
Databricks co-founders Matei Zaharia and Reynold Xin discuss why the frontier AI ecosystem must be open, the Agent Cloud concept, and how open vs. closed approaches will reshape the industry.
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·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
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·2 min
Instagram Enters the Living Room: Long-Form Video, Series, and Live Streaming Challenge Netflix
Instagram is building a TV app with long-form video, episodic series, and live streaming to challenge Netflix. Deep analysis of its living room strategy and industry impact.
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·2 min
Deep Dive into Devin's Background Agent Architecture: Behind the 80% AI-Committed Code
Deep analysis of Devin's background agent architecture: brain-sandbox separation, environment setup, MCP integration, memory systems, and multi-agent collaboration challenges.
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·3 min
Claude Code Source Code Leak: 500,000 Lines of Code Reveal Core Multi-Agent Architecture Design
Anthropic accidentally leaked 500K+ lines of Claude Code TypeScript source via a Source Map misconfiguration, revealing its Coordinator multi-agent architecture, Kairos prediction system, and shadow rollback mechanism.
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·4 min
Ponytail Plugin for Claude Code Tested: Dramatically Less Code, 50% Lower Costs
Real-world testing of Claude Code plugin Ponytail: YAGNI decision ladder dramatically reduces AI-generated code, cutting costs 47%-77% with weather dashboard comparison and benchmark analysis.
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·4 min
Interview with Claude Code Lead: AI Programming ROI Mindset, Loops, and the Evolving Role of Engineers
Claude Code lead Boris Cherny shares insights on 100% AI coding, ROI thinking frameworks, Loops automation, Fable model capabilities, and how engineers are shifting from coding to product intuition and system design.
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·3 min
Ponytail Plugin: The Minimalist Philosophy That Makes AI Coding Agents Write Less Code
Ponytail is a minimalist plugin for Claude Code that uses YAGNI principles and a decision ladder to cut AI-generated bloat. Tests show 47%-77% cost savings and 94% less code.
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·3 min
Deep Dive into Claude Code's Source Architecture: Harness Engineering and Seven Core Mechanisms
Deep analysis of Claude Code's leaked source architecture, covering TypeScript stack choices, Harness architecture's seven core mechanisms, tool call management, and context optimization.
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·2 min
Coze Agent in Practice: Building an AI Test Case Generation Workflow from Scratch
Learn how to build an AI test case generation agent on Coze, covering agent vs. LLM differences, workflow orchestration, model selection, and prompt engineering tips.
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·2 min
Anthropic's Latest Research: AI Recursive Self-Improvement Is Rapidly Approaching Human-Level Capability
Anthropic's new research reveals AI recursive self-improvement progress: Claude writes 80%+ of code, achieves 52x training speedup, and outperforms humans at 64% of research decision points.
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·3 min
5 Ways to Deploy LLMs Locally: From Getting Started to Production
A complete guide to 5 local LLM deployment methods: LlamaCPP, Ollama, LM Studio, vLLM/SGLang, and MLX-LM — from personal dev to production environments.
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