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 ...
HackerNoon

Self-Retrospection Distillation Lifts AI Agent Success From 0% to 60.6% When Every Rollout Fails

Salesforce's SRD distills hindsight into foresight, rescuing agent RL when rewards vanish and lifting success from 0% to 60.6 ...

Is It Really Safe to Entrust EAs to the Cloud? | Thinking About the State of Automated Trading in Light of Information Leaks

If you are running automated trading (EA) for FX, you want your computer to run as stably as possible.Keeping a home computer ...
GitHub

cPDE: CUDA-Efficient High-Order Derivative Training

An easy-to-use Python interface for forward and backward propagation with derivatives through sixth order, including mixed derivatives. CUDA and CPU backends. Currently, only fully connected ...
US Environmental Protection Agency

Process of Working with Areas to Attain and Maintain NAAQS (Implementation Process)

When EPA establishes a new national ambient air quality standard (NAAQS) or revises an existing standard for a criteria air pollutant, it sets in motion a series of actions aimed at ensuring that air ...
GitHub

Weight-Space Programming for the Social Safety Net

Can an LLM write a neural network that IS a benefits formula, exactly? Weight-space programming experiments on SNAP, EITC, SSI, and Medicaid arithmetic. - ctrimm/weight-space-programming ...