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Open models for the win!

DGX agent

Open models for the win! For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open mo

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24 Jul 2026

Model Releases

Search: “models”

Open models for the win!

The Washington Post processed 1.79B input tokens per month through Together AI, running open models like Llama and Mistral in production wit…

Training Large Language Models for Self-Explanation Faithfulness

Cost per successful task: Benchmarking Kimi K3, GPT-5.5, and 8 more AI models

Huge launch from @tryramp. Different steps in an agent workflow can use different models. This can help reduce costs significantly without s…

Who’s Afraid of Chinese Models?

Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations

FlowWAM: Optical Flow as a Unified Action Representation for World Action Models

Scaling Point-in-Time Language Models

U.S. open-source models are quickly gaining ground. @Nvidia's newest Nemotron Ultra is fast growing on Ollama and unlocking complex, longer …

Another big reason to use combination of frontier models. Chain-of-thought monitoring is treated as a reliable safety layer for agents. This…

AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Is Your Benchmark Still Useful? Dynamic Benchmarking for Code Language Models

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models

The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 Models

introducing tinyrouter i reverse engineered the routing architecture behind Skana AI's Fugu and built replication for open frontier models. …

Discrete Diffusion Language Models for Interactive Radiology Report Drafting

Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity

How Post-Training Shapes Biological Reasoning Models

Concentration bounds on response-based vector embeddings of black-box generative models

DNA Language Models: An Assessment of Pre-Training for Fine-Tuning Tasks

FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks

Fuzzing Large Language Models to Elicit Hidden Behaviours

Little Brains, Big Feats: Exploring Compact Language Models

SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context

I put together a new article on setting up local coding agents with open-weight models. Everything runs 100% locally. I thought it might be …

Did Models Learn Sufficiently? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation

CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression

Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction

Ai2 just released TMax 27B on Hugging Face A 27B terminal agent that hits 42.7% on Terminal Bench 2.0, rivaling models 40× its size.

Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering

Domain Adapted Large Language Models for Additive Manufacturing

PhantomBench: Benchmarking the Non-existential Threat of Language Models

NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?

Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Geometry-Aware Hallucination Detection in Large Language Models

ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning

Large Byte Model: Teaching Language Models About Compiled Code

LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models

VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts

GPF-LiveNews: A Streaming Evaluation Protocol for Group-Conditioned Framing in Large Language Models

Latent Performance Profiling of Large Language Models