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Questions and Answers
What is the current situation regarding AI development?
It's hard to differentiate between AI and human capabilities.
Which of the following factors contributed to the advancements in AI?
Not many predicted the advancements in AI that we are seeing today.
True
What are GANs used for?
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What significant video generation model was released by DeepMind?
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What is AlphaGo known for?
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Which model significantly changed the capabilities of AI in 2022?
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Which of the following AI models are proficient in programming languages?
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What does GDT measure in protein structures?
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Study Notes
Current Situation of AI
- AI capabilities are becoming increasingly indistinguishable from human abilities.
- Advancements are attributed to scaling algorithms, data training, and improved computing power.
Historical Context
- Many experts did not foresee the rapid advancements in AI technologies.
- Concerns are growing regarding the potential of AI surpassing human intelligence.
AI Capabilities Overview
- Key areas of focus include vision, reinforcement learning, natural language processing, and multi-paradigm approaches.
- Significant breakthroughs in AI have emerged, especially through Generative Adversarial Networks (GANs), introduced in 2014.
Image Generation
- AI has achieved significant advancements in image generation through algorithms like GANs and diffusion models.
- Continued scaling of computational power and data used for training has enhanced image generation techniques.
Video Generation
- The introduction of DeepMind's DVD-GAN model in 2019 marked a milestone in video generation.
- By October 2022, AI was generating complex video content, including humorous and surreal scenarios.
Gaming Milestones
- AI's proficiency in video games has evolved from simple games like Pong (2013) to complex games like Starcraft and Dota2 (2018).
- The development of AlphaGo (2016/17) showcased AI's ability to master strategy games, leading to capabilities in more complex interactions, such as in Diplomacy (2022).
Advances in Language Models
- The evolution of language models includes pivotal releases such as GPT-2 (2019), GPT-3 (2020), and ChatGPT (2022), with each iteration scaling parameters significantly.
- Google’s PaLM model (2022) enhances common-sense Q&A capabilities.
Practical Applications
- ChatGPT is used for diverse tasks, including composing emails and coding.
- OpenAI's Codex model powers GitHub Copilot, trained on natural language and vast amounts of publicly available source code, excelling particularly in Python.
Mathematical and Scientific Applications
- Google's MINERVA model focuses on mathematical problem-solving, while AlphaTensor discovers algorithmic solutions.
- AlphaFold2 utilizes AI to predict protein structures, measuring similarity with the Global Distance Test (GDT) metric.
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Description
Explore the current risks associated with advancements in artificial intelligence in this quiz based on Week 1 of the Responsible & Safe AI course. Delve into the challenges of distinguishing between AI and human capabilities, the scaling of algorithms and data, and the implications of increased computing power. Test your understanding of these critical concepts in AI safety and responsibility.
