Why did editing 0.016% of AI weights increase math performance by 6x? The mechanics and configuration secrets of the MIT study

Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...

[Vol. 110] The End of API Dependency: Building a 'Fully In-House Infrastructure' with Local LLMs and Autonomous Agents

Introduction: The 'Architectural Fragility' Invited by SaaS and API Dependency'If you connect cloud services and external AI ...