4 Hidden LLM Pitfalls Most Users Hit Daily
Large language models have 4 subtle failure modes that trick even experienced users. Here is how to spot and avoid them.
🏷️ AI safety
122 articles about 'AI safety'
Anthropic Execs Head to South Korea for AI Safety Talks
Anthropic senior executives will visit South Korea next week to discuss AI safety risk prevention strategies with the Ko…
Anthropic Unveils Constitutional AI 2.0 Framework
Anthropic launches Constitutional AI 2.0, a major upgrade to its AI safety alignment framework with new oversight mechan…
Dario Amodei Becomes Silicon Valley's Public Enemy No. 1
Anthropic's CEO faces unprecedented backlash from Huang, Altman, and LeCun as critics question his dual role as AI dooms…
OpenAI vs Anthropic: The Philosophy War Over AI
Two AI giants share similar origins but radically different visions for building artificial intelligence, reshaping the …
G7 Leaders Push for Binding AI Safety Treaty
World leaders at the G7 summit call for a legally binding international AI safety framework, marking a historic shift fr…
Safety Researchers Flag Novel Risks in OpenAI o3
AI safety experts warn that OpenAI's o3 reasoning models introduce unprecedented alignment challenges that existing safe…
Eric Schmidt Warns AGI Could Arrive by 2027
Former Google CEO Eric Schmidt predicts artificial general intelligence may emerge within 2 years, raising urgent questi…
OpenAI Finds Emergent Planning in Large Models
OpenAI researchers reveal that large language models develop internal planning mechanisms without explicit training to d…
Oxford Lab Unveils New Method to Fight AI Hallucinations
Researchers at Oxford's AI lab propose a novel semantic entropy approach that could dramatically reduce hallucinations i…
OpenAI Proposes Recursive Reward Modeling
OpenAI researchers introduce Recursive Reward Modeling, a new alignment technique designed to keep advanced AI systems s…
Anthropic Unveils Constitutional AI v3 Framework
Anthropic publishes major research on Constitutional AI v3, introducing dynamic principle hierarchies and adaptive safet…