Which of the following statements about the evolution of AI is not true?

Question

BlackTom AI · Accepted Answer

Hardware scaling — GPUs and specialized accelerators — has been a primary, not secondary, driver of modern AI progress. Below is a structured explanation that demonstrates why the statement "The growth in the power of processors has been a secondary driver in the rapid evolution of AI." is not true.

1) Relevant knowledge points and concepts
- Primary drivers of recent AI progress: compute (hardware), large datasets, and algorithmic/architectural advances (e.g., deep learning, transformers).
- Key hardware: GPUs (for parallel matrix ops), TPUs and other accelerators, and cloud-scale clusters enabling training of very large models.
- Empirical evidence: scaling laws for neural networks show model performance improves predictably with increased compute; landmark models (BERT, GPT-series) required vast compute to train.

2) Step-by-step reasoning
- The statement labels processor growth as “secondary.” Evaluate whether hardware improvements were central or marginal.
- Modern deep learning workloads depend on parallel matrix multiplications; GPUs offered orders-of-magnitude speedups vs. CPUs for these tasks.
- Specialized chips (TPUs) and massive distributed clusters enabled training models with billions/trillions of parameters that were previously infeasible.
- Research (e.g., scaling law papers) empirically ties improvements to increases in compute; many breakthroughs were only practical once hardware scaled.

3) Intermediate steps / evidence (no numeric calculations required)
- GPUs (mid-2000s onward) enabled training deep nets at practical timeframes.
- 2012 ImageNet success and subsequent language-model scaling depended on abundant compute.
- Transformer-based large-scale models (2018 onward) required cloud compute and accelerators.

4) Why the correct answer is correct
- Because processor power growth was foundational and often a primary enabler of rapid advances, calling it “secondary” misstates its role. Hardware advances and large-scale compute are central to recent AI evolution.

5) Why other options are incorrect (brief)
- “Advances…made possible personal assistants like Siri.” True — speech recognition and NLP advances enabled assistants.
- “Growth relied on refinement of algorithms…and investments.” True — broad research, engineering, and funding have driven progress.
- “In the last decade, there have been numerous fundamental conceptual breakthroughs.” Reasonable to call out several (deep learning architectures, attention/transformer, GANs, RL progress), so this option is presented as true.
- “In the last decade, significant progress has been made…” True — overall progress has been substantial.

6) Conclusion
The false statement is the one claiming processor growth was a secondary driver. This matches the provided correct answer: "The growth in the power of processors has been a secondary driver in the rapid evolution of AI."

Which of the following statements about the evolution of AI is not true? 单项选择题

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