What makes Software 2.0 more efficient than Software 1.0 in complex decision-making?

It learns from large datasets and adapts to new inputs

In Software 2.0, why is labeled data crucial for supervised learning?

It trains the model by linking inputs to correct outputs.

What is a major ethical concern with Software 2.0?

It can inherit and amplify biases from training data

Why is explainability a major challenge in Software 2.0?

Neural networks function as "black boxes" with complex internal logic

In Software 2.0, what role does model architecture play?

It defines how the neural network processes and transforms data

What is the main difference between Software 1.0 and Software 2.0?

Software 1.0 is manually coded, while Software 2.0 is trained on data

Which factor is NOT a key difference between Software 1.0 and Software 2.0?

Software 2.0 does not require any hardware resources

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Software 2.0

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Answers

1
What makes Software 2.0 more efficient than Software 1.0 in complex decision-making?
It learns from large datasets and adapts to new inputs
It follows strict, predefined rules
It eliminates all software bugs automatically
It requires less data to function
2
Which type of machine learning is used in AI-based spam detection?
Deep Learning
Supervised Learning
Reinforcement Learning
Unsupervised Learning
3
Who popularized the term "Software 2.0"?
Geoffrey Hinton
Alan Turing
Elon Musk
Andrej Karpathy
4
In Software 2.0, why is labeled data crucial for supervised learning?
It prevents AI models from making mistakes
It trains the model by linking inputs to correct outputs.
It eliminates the need for computational power
It reduces the need for model optimization
5
What is a major ethical concern with Software 2.0?
It eliminates cybersecurity threats
It reduces the amount of data needed for training
It makes software development slower
It can inherit and amplify biases from training data
6
Why is explainability a major challenge in Software 2.0?
Software 2.0 does not require testing
Developers need to manually adjust every parameter
Neural networks function as "black boxes" with complex internal logic
AI models cannot process large datasets
7
In Software 2.0, what role does model architecture play?
It replaces human programmers entirely
It removes the need for labeled training data
It ensures that all outputs are deterministic
It defines how the neural network processes and transforms data
8
Which of the following is NOT a key component of Software 2.0?
Optimized weights
Labelled training data
Manual coding of all logic
Model architecture
9
What is the main difference between Software 1.0 and Software 2.0?
Software 1.0 uses cloud computing, while Software 2.0 does not
Software 1.0 is AI-driven, while Software 2.0 is manually coded
Software 1.0 is manually coded, while Software 2.0 is trained on data
Software 1.0 uses ML, while Software 2.0 uses explicit programming rules
10
Which factor is NOT a key difference between Software 1.0 and Software 2.0?
Software 1.0 is more interpretable compared to Software 2.0
Software 1.0 relies on instructions, while Software 2.0 learns from data
Software 2.0 does not require any hardware resources
Software 2.0 adapts automatically, while Software 1.0 needs manual updates

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