Cerebras releases REAP-pruned GLM-4.6 variants at 25%, 30%, and 40% sparsity with FP8 quantization – but do they actually work?
How smart engineering beats cloud magic when dealing with unpredictable traffic spikes
It turns out BERT’s masked language training looks suspiciously like a single step of discrete text diffusion.
Meta just fired 600 AI engineers while doubling down on expensive hires – a clear sign the AI gold rush is entering its sobering second act
New optimizations fix critical performance drops and crashes on AMD RDNA3 GPUs, delivering faster long-context inference on hardware like Ryzen AI Max 395.
Semantic layers, once considered legacy, are experiencing renewed interest due to the need for standardized, AI-readable data definitions across BI and analytics platforms.
How Andrej Karpathy’s minimalist codebase demolishes bloated LLM infrastructure with brutal efficiency.
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.
