Latest stories
Fine-Tuned Activation Oracles Develop Concept-Specific Blind Spots, Study Finds
New research from Hugging Face reveals that fine-tuning activation oracles on a subject model that hides a concept makes them sele...
DCAS: Decoupling Scaffold Planning to Make CLI Agents Generalize
A new interception layer, DCAS, decouples planning from scaffold-specific training, enabling fine-tuned CLI coding agents to gener...
MatrAIx: Simulating the World with 8.3 Billion Persona Agents
Researchers from Harvard, MIT, and major AI labs introduce MatrAIx, a population-scale evaluation infrastructure with 8.3 billion...
SFT Conflicts, RL Coexists: New Study Explains Multi-Task Learning in LLMs
A new paper from Hugging Face reveals that supervised fine-tuning (SFT) suffers from task conflicts in multi-task training, while...
Beyond Scaling: New Methods for Designing Effective Multimodal Agent Training Environments
A new study from Hugging Face challenges the assumption that simply scaling up multimodal environments improves agent training, pr...
Virgin Atlantic Leverages ChatGPT Work to Enhance Customer Journeys
Virgin Atlantic is adopting OpenAI's ChatGPT Work to speed up research, product planning, and decision-making, enabling teams to c...
Zapier's Marketing Team Uses ChatGPT Work to Boost Lead Funnel and Automate Reporting
Zapier's enterprise marketing team leverages ChatGPT Work to cut lead funnel drop-offs, streamline campaign asset creation, and au...
OpenAI Adds Premium Seats to ChatGPT Business with $100 Credit Offer
OpenAI is introducing premium seats for ChatGPT Business, offering higher usage limits for demanding tasks and a $100 workspace cr...
StreamArena: A New Benchmark for Hour-Long Interactive Video Understanding
Hugging Face researchers introduce StreamArena, a benchmark for hour-scale interactive video understanding, and StreamMind, a two-...
Hugging Face Researchers Unveil WorldTrace to Fix Memory in Video World Models
A new training-free framework, WorldTrace, addresses visual persistence failures in interactive video world models by keeping comp...
Uncertainty-Aware World Model Improves Aerial Image-Goal Navigation
Hugging Face researchers introduce UA-NWM, an uncertainty-aware latent world model that scores trajectories via conditional out-of...
AudioRubrics: Self-Evolving Rubrics Boost Audio Reasoning in RL
Hugging Face researchers introduce AudioRubrics, a reinforcement learning framework that uses self-evolving, audio-grounded rubric...