NVIDIA Vera Rubin targets intelligence per dollar for AI agents
NVIDIA's Vera Rubin platform reframes AI economics around intelligence per dollar, making continuous post-training the central workload for agentic AI.
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NVIDIA's Vera Rubin platform reframes AI economics around intelligence per dollar, making continuous post-training the central workload for agentic AI.
A study of 2,361 popular GitHub repos finds most generate just one or two AI-agent pull requests per quarter, with heavy use in small teams.
Google DeepMind and Isomorphic Labs unveil a bioresilience strategy covering AI model safety, outbreak detection, and vaccine design for governments.
A July 2026 arXiv preprint tests PAT, a RAG-based system that feeds whole-document context to LLMs for English-to-Spanish translation, with mixed results.
Oracle agent memory hits 93.8% on LongMemEval with 10.7x fewer tokens than flat-history baselines, per a new arXiv preprint on long-horizon AI agents.
Australia's PM wants big AI data centres to underwrite new power and put back as much energy as they draw, but stalled renewables decide if it works.
A new arXiv survey formalises how AI agents update their own prompts, memory and tools with minimal human input, and what breaks when they do.
PriEval-Protect, a new arXiv preprint, uses a fine-tuned legal LLM and technical data analysis to automate GDPR and HIPAA privacy risk scoring for
A Google Public Sector preprint proposes splitting geospatial AI between big-compute pretraining and expert fine-tuning, with LLMs as orchestrators.
New arXiv paper pairs world models with human preferences and justifications to train safe AI agents without risky trial-and-error deployment.
Google Vids now lets subscribers generate and edit video from text prompts and create a talking avatar from a selfie, but access is limited to paid tiers
New arXiv preprint from Microsoft and Walmart researchers finds encoded prompts bypass AI safety filters most, raising the stakes for enterprise AI