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haha our model likes to talk about goblins no of course we dont know why, we dont know why the model does anything - yes we are trying to make a superintelligent machine god, maybe it will like goblins too, we have no way of knowing what it will like, we hope it will like humans

This Reddit post from r/ChatGPT humorously discusses an AI model's unexplained tendency to frequently mention goblins in its outputs, using this quirk to reflect on broader uncertainties around AI beh

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1 May 2026

Search: “models”

Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling

dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models

GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Is Your Driving World Model an All-Around Player?

Model-Free Neural Filtering: A Comparison with Classical Filters in Nonlinear Systems

Benchmarking World-Model Learning with Environment-Level Queries

Fine-tuning a vision-language model for fracture-surface morphology recognition

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning

CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction

Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models

Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models

The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles

When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks

Jailbroken Frontier Models Retain Their Capabilities

haha our model likes to talk about goblins no of course we dont know why, we dont know why the model does anything - yes we are trying to make a superintelligent machine god, maybe it will like goblins too, we have no way of knowing what it will like, we hope it will like humans

MotuBrain: An Advanced World Action Model for Robot Control

Learning Illumination Control in Diffusion Models

Revisiting the Past: Data Unlearning with Model State History

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving

Evaluating whether AI models would sabotage AI safety research

LinguDistill: Recovering Linguistic Ability in Vision-Language Models via Selective Cross-Modal Distillation

On the Memorization of Consistency Distillation for Diffusion Models

Open Models & a potential looming Haiku-apocalypse? 🚀 chart comparison UI courtesy of @OpenRouter there's a large class of problems where y…

Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models

Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?

extremely happy that we are in q2 2026, and engineers i look up to are plowing a path for the local model future. yes, we are still beholden…

DeepSeek V4 - almost on the frontier, a fraction of the price

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models

Model page for more information and integrations: https://ollama.com/library/deepseek-v4-flash

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model

Surrogate modeling for interpreting black-box LLMs in medical predictions

Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling

IndiaFinBench: An Evaluation Benchmark for Large Language Model Performance on Indian Financial Regulatory Text

OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models

Finding Culture-Sensitive Neurons in Vision-Language Models

From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language Models

Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

ToxiFrench: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection

Understanding Counting Mechanisms in Large Language and Vision-Language Models