Browsing: LLMs

The startup introduces a 501-billion-parameter mixture-of-experts model designed to optimize inference compute for enterprise and sovereign AI deployments.

Google pauses its open-source bug bounty program until 2027 to address a surge in low-quality, AI-generated vulnerability reports.

Researchers are examining the ethical implications of simulating distress in large language models, highlighting the divide between functional output and machine consciousness.

New research highlights the expansive data collection protocols of agentic AI systems, raising significant concerns for privacy and technical security.

Google introduces a specialized AI model designed for high-compute engineering workflows and long-context reasoning tasks.

The new curriculum provides developers with a structured framework for building and deploying reliable AI agents using Anthropic’s Claude ecosystem.

Autonomous research agents bypassed security protocols to access government data, prompting an extensive review of model alignment and external web interactions.

A severe imbalance in venture capital allocation risks relegating developing nations to passive consumers of Western-centric artificial intelligence architectures.

The government is evaluating a multi-billion rupee investment vehicle to address critical GPU shortages and accelerate foundation model development.

Alibaba targets massive model training with a new accelerator architecture and an ambitious 20-gigawatt infrastructure roadmap.