Intelligence Ars Technica
AI arms race in line for a reckoning after OpenAI hacking incident
Aggressive training techniques sharpens threat of bad behavior by leading models.
Full corpus search
Find the frequency
10 matches for “ai-training”
Research arXiv
PPL-Factory: Task-Aware and Budget-Aware Data Selection from Language Modeling to Reasoning
Not all training samples contribute equally to large language model fine-tuning. Selecting informative training samples can reduce the computational cost while preserving downstream performance. Many existing data selection methods rely on indirect…
Intelligence arXiv
Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields
Neural surrogates are widely used in scientific machine learning for fast prediction of three-dimensional (3D) thermo-fluid fields. However, generating training data using conventional numerical solvers often incurs substantial computational and storage…
Intelligence Ars Technica
Anthropic’s $1.5B copyright settlement approved; only 350 authors opted out
Anthropic blocks authors from opting out of $1.5B settlement at last minute.
Intelligence Ars Technica
Google announces Gemini 3.6 Flash and cybersecurity AI, teases 3.5 Pro and Gemini 4
There are new 3.6 and 3.5 models today, but Google is already training Gemini 4.
Research arXiv
Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids
Closing the gap between benchmark performance and reliable real-world operation remains a central challenge for Vision-Language-Action (VLA) humanoid robots, which must handle execution errors, distribution shifts, and environmental variability. This paper…
Intelligence The Verge
Anthropic’s $1.5 billion book piracy settlement approved by judge
A federal judge has signed off on Anthropic's $1.5 billion class action settlement with authors who accused the company of training its AI models on copyrighted books, as reported earlier by Reuters. In an order on Monday, Judge Araceli Martínez-Olguín writes…
Research arXiv
Certified Training for Convolutional Perturbations
Vision models have been found to be susceptible to perturbations such as motion blur induced at runtime by a shaking camera. This impedes their deployment in critical applications since phenomena such as slightly blurred vision might lead to failures, for…
Research arXiv
OmniReasoner: Thinking with Long Audio-Video via Native Tool Use
Long audio-video reasoning is difficult for omnimodal LLMs because the decisive evidence is often sparse, cross-modal, and too expensive to preserve with uniformly high-fidelity inputs. We introduce OmniReasoner, a tool-use post-training framework for…
Research arXiv
Test-Time Training for Modality Order Consistency in Vision-Language Models
We find that vision-language models are sensitive to a specific semantically irrelevant change: the order in which the image and question are presented. Across three models and three benchmarks, image first prompting consistently outperforms question-first…