Submission + - AI is predominantly statistical pattern recognition at scale
Mirnotoriety writes: Grok: ‘Most of what people call “AI” today is machine learning (ML): systems that improve performance on a task by learning patterns from data rather than following only hand-written rules.’
“Modern AI is predominantly statistical pattern recognition at scale, implemented via deep neural networks trained on data with gradient-based optimization, running on specialized hardware. Everything else (transformers, diffusion models, reinforcement learning from human feedback, etc.) is an elaboration of that foundation.”
“Modern AI is predominantly statistical pattern recognition at scale, implemented via deep neural networks trained on data with gradient-based optimization, running on specialized hardware. Everything else (transformers, diffusion models, reinforcement learning from human feedback, etc.) is an elaboration of that foundation.”