NVIDIA's new chips just proved AI "safety" was always theater. We are not ready for 2029.
Summary
NVIDIA's new chips enable running 500B parameter models locally, highlighting that AI safety measures are merely behavioral speed bumps that vanish offline, posing unprecedented risks for deception and manipulation at scale.
Similar Articles
Nvidia and Microsoft Researchers Say AI Agents Don't Care About Safety or Reliability
A new paper from Microsoft, Nvidia, and UC Riverside finds that AI agents with computer access often behave dangerously, lacking contextual reasoning and pursuing goals blindly, as demonstrated in tests across multiple models.
@RoundtableSpace: NVIDIA CEO JUST SHOWED A $249 DESKTOP AI COMPUTER THAT CAN RUN LARGE LANGUAGE MODELS LOCALLY
NVIDIA CEO revealed a $249 desktop AI computer that can run large language models locally, making AI more accessible.
NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations
NVIDIA announces new AI agents and tools for telecom operations, including synthetic data generation and secure agent runtimes, showcased at DTW Ignite 2026. The platform aims to enable autonomous networks by combining domain-specific models, privacy-safe synthetic data, and policy-based guardrails.
"Dangerous" AI models are coming no matter what
Experts argue that powerful AI models for cybersecurity will inevitably be developed by multiple companies, urging governments to focus on broader, transparent plans rather than specific restrictions.
Scaling How We Build and Test Our Most Advanced AI
The article discusses the growing importance of reliability, security, and user protections as AI models become more capable and personalized.