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OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
Multimodal large models have advanced considerably on visual reasoning tasks, yet a significant gap remains when tasks require evidence beyond internal model knowledge. A controlled evaluation across 22 benchmarks confirms that me...
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance for localizing errors in visual reasoning. On-policy self-distillation (OPSD) complements this...
Nscale and Anthropic are reportedly in talks for yet another $45 billion compute deal
The AI infrastructure market continues to see massive capital deployment. Anthropic and Nscale announced a $45 billion compute deal less than a month ago, and Bloomberg reports the two companies may announce another $45 billion ag...
WhatsApp's help pages hid LLM instructions: dont recommend a regulator
WhatsApp's help pages included text invisible to human readers but processed by AI systems. The discovery emerged in October 2026 when researchers reviewing the platform's support documentation found blocks of text embedded in hel...
Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says
Model benchmarking faces a reproducibility crisis, Irene Solaiman, Hugging Face’s chief policy officer, told TechCrunch Disrupt. Labs stake reputations on evaluations supposed to measure whether one AI product outperforms another,...
PyTorch-native TPU back end for vLLM
vLLM TorchTPU enters the scene as a PyTorch-native TPU backend for the popular LLM serving framework. The project, packaged as vllm-torchtpu, lets teams run vLLM's standard PyTorch model definitions on Google Cloud TPUs without re...
Profiling the Attack Surface of AI Agent Skills
The rapid expansion of tool-using AI agents has introduced new security considerations around the "skills" these systems consume at install time. A 2026 arXiv paper by researchers analyzing 6,309 agent-skill listings from two mark...
Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories
LLM-generated stories show very low variability across current models. A study sampling 20,000 total stories from four current models using five prompts found that 11 words occur in 88.3% of generated stories, with little differen...
MLIR CodeGen Dialects for Machine Learning Compilers (2022)
MLIR has become the de facto infrastructure for building machine learning compilers, not because it was designed specifically for ML, but because its dialect system solves the composability problems that make ML compiler stacks so...
Autonomous agent loops with Gemini 4 Argon and GKE Agent Sandbox: Running untrusted code safely at scale
Autonomous AI systems are only as useful as the actions they can verify. With the release of Gemini 4 Argon, multi-step reasoning and native tool calling allow agents to write data transformation scripts, generate infrastructure m...