#Deep-Learning
2 notas · última:
News Feature: What are the limits of deep learning?
PNAS profile of 2019 surveys where deep learning breaks: adversarial spoofing, data inefficiency, opacity, and the missing common sense that symbolic AI once tried to hand-code.
A Primer on Large Language Models and their Limitations
Johnson and Hyland-Wood's LLM primer argues hallucination is the wrong word: LLMs produce Frankfurtian bullshit, indifferent to truth, alongside catastrophic forgetting, model collapse, and jailbreak risk.