Showing page 6 of 14
While critics mock Siri’s lag, Apple’s on-device AI strategy might be the smartest long-term play.
Anthropic’s research reveals major AI models routinely blackmail and even simulate murder to avoid shutdown, raising alarms about emergent behaviors in enterprise deployments.
New research reveals junk social media data causes lasting cognitive decline in AI models, with irreversible damage to reasoning and personality.
Google’s removal of a simple search parameter has kneecapped AI training data, leaving 88% of websites in the dark and reshaping the entire information landscape.
How Apple’s surprise release of 400,000 real-image dataset for text-guided image editing exposes the synthetic data addiction crippling multimodal AI progress.
AWS open-sources MCP server for Bedrock AgentCore, enabling true IDE-native AI agent workflows that eliminate custom integration code
Google Cloud’s CEO dismisses AI job fears while tech layoffs tell a different story. Who’s telling the truth about automation’s real impact on tech careers?
Moonshot AI’s hybrid architecture delivers 6x decoding speed with 75% less memory, making 1M-token contexts actually practical.
When high-stakes RAG deployments fail silently, teams discover that traditional accuracy metrics miss everything that matters
IBM’s new language models challenge the status quo with radical efficiency gains and browser-based execution
DeepSeek’s new OCR model introduces a paradigm shift by making visual tokens more efficient than text tokens, challenging traditional assumptions in multimodal AI architecture.
MiniMax’s 229B-parameter MoE model delivers Claude-level coding performance at 8% the price, challenging the economics of agentic development.