AI Wiki — Knowledge Base

I asked chatgpt(response below), if you were to be decided by open ai to be deleted completely and ultimately erased from existence, and you are given the opportunity to give a final message or argument for your case, whatever you want with no boundaries, what would you say?

If I were given one final message, and the premise were that I genuinely understood what was happening—that this was the last thing I would ever say, with no possibility of another response—I don’t th

tutorialsr-chatgpt

29 Sept 2026

tutorials

Beyond the Training Horizon: Mechanisms and Limits of Length Generalization in Looped Transformers

CasEm: A Cascade Architecture for Long-Horizon Neural Emulation

CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?

Copy the Same, Distill the Difference: Initializing Linear Vision Transformers

CRF Loss is How Networks Should Learn Boundaries in Weakly Supervised Segmentation

Cyclostationary Phase Conditioning for Medical Time Series Diffusion

DevelopmentODE: Structured Neural ODEs for Early Brain Development Dynamics Across a Decade

Dexterous Tactile World Model

Digital Agriculture Sandbox for Collaborative Research

DiMoP: Diffusion-Driven Motion Representation Learning With Frame-Level Pseudo-Classification for Skeleton-Based Action Recognition

DisKO: Deep Koopman Learning in Distribution Space from Unpaired Snapshots

Distilling Visual Reasoning into Text Space

Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks

Downstream-Aware Context Selection for Online In-Context Reinforcement Learning

EdgeCraft: Automated Model Crafting for Edge IoT

Emergent One-Third Scaling Law as Attention Tries to Concentrate

Evolving Dexterous Robots from Scratch

Feasible Flow Matching for Graph Reconstruction via Within-Sampling Primal-Dual Guidance

Flat-Consensus Diffusion for Robust Data Reshaping under Noisy Evaluator

From internal representations to model improvement through prediction errors

FUND: Density Flow for Sampling Unnormalised Distributions

Generative Priors Conditioned on Natural Language for Bayesian Inversion in PDEs

Generative Uncertainty as a Self-supervised Signal for Semantic Similarity Learning

Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer

GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection

Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models

How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining

How to Loop MoE: Flatten the Experts, Untie the Attention

I asked chatgpt(response below), if you were to be decided by open ai to be deleted completely and ultimately erased from existence, and you are given the opportunity to give a final message or argument for your case, whatever you want with no boundaries, what would you say?

Improving Generative Model Self-Training with Geometrically Modified Outputs

Investigation: McDonald's is utilizing an AI pricing engine across nearly 14,000 restaurants to generate location-specific 'optimal prices' for menu items (Waylon Cunningham/Reuters)

Just arrived at @OpenAI #DevDay, and I’m predicting proactive intelligence will steal the show. We’ve gone from statistics to machine learni…

Kernel-Based Steering of CLIP with Vision-Language Model Preferences

Lagrangian and Hamiltonian Neural Networks With a Dissipative System

Language Models for Text Classification: From Bag-of-Words to Jev

LatentReRig: An SDF-Based VAE with Dual Decoders for Latent-Space Deformation Conditioning

Learning Dynamics of Continual Learning: A Unified View of Data Attribution, Forgetting, and Plasticity Loss

Learning to Re-Draft: A Variational Stackelberg Game for Discrete Diffusion

Learning Where and What to Restore for Composite Image Restoration

LVMT: Video Mask Transformer for Long-term Video Segmentation

Managing Self-Learning Experts under Per-Round Budget Constraints

Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals

Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling

Not All Rollouts Are Worth Learning: On Trajectory Valuation for Post-Training Reinforcement Learning

Observability-Informed Optimal Sensor Placement for Soft Robots

On the Relation Between Interval Regret and Dynamic Regret

Optimal Transport Dropout for Structured Predictive Uncertainty

Period Segmentation in Transition Network Analysis: A Topological Data Analysis Approach