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Independent tests reveal NVIDIA’s DGX Spark may only achieve 480 TFLOPS FP4 performance instead of the advertised 1 PFLOPS, with overheating issues compounding memory bandwidth limitations.
Why early AI adopters are losing faith in large language models as reliability gaps, unpredictable failures, and real-world costs expose the cracks in the revolution
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
