TED: AI isn't as smart as you think -- but it could be | Jeff Dean

The video discusses the evolution and capabilities of AI, focusing on neural networks and computational power. It highlights the challenges in AI development, such as single-task models and data modality limitations, and introduces solutions like multi-task models and Pathways. The importance of responsible AI, including fairness and privacy, is emphasized. The Q&A session explores AI's future potential and ethical considerations.

What transformative effect has computer vision had in the last decade?

• It has made computers faster.

• It has enabled computers to see.

• It has reduced the cost of computing.

• It has improved internet speed.

What was a major breakthrough in solving difficult AI problems in the last 15 years?

• Quantum computing

• Neural networks

• Blockchain technology

• Cloud computing

What is the role of computational power in neural networks?

• It decreases their accuracy.

• It is crucial for their performance.

• It makes them more expensive.

• It is irrelevant.

What is a key challenge with current AI models?

• They are too cheap.

• They require no data.

• They are trained for single tasks.

• They are too fast.

How can AI models be improved according to the speaker?

• By training multi-task models

• By using more data

• By ignoring neural networks

• By reducing computational power

What is a proposed solution for dealing with single-modality data in AI?

• Increasing data speed

• Integrating multiple modalities

• Using more sensors

• Reducing data size

What is the advantage of sparse models over dense models?

• They are more expensive.

• They are more efficient.

• They use less data.

• They are slower.

What is a significant concern when developing AI systems?

• Speed of processing

• Fairness and interpretability

• Size of the models

• Cost of development

What is the importance of responsible AI according to the speaker?

• To ensure AI benefits everyone

• To increase profits

• To reduce AI usage

• To make AI faster

What future potential does AI have according to the speaker?

• To reduce internet usage

• To solve global issues

• To replace all jobs

• To increase computing costs