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cover of episode "Third wave" of AI: machines talking to machines and people; AI for hyper-personalized Maps; The Rise and Potential of LLM-Based Agents; Humans have five senses. How many does AI have?; AI artists banned by Google

"Third wave" of AI: machines talking to machines and people; AI for hyper-personalized Maps; The Rise and Potential of LLM-Based Agents; Humans have five senses. How many does AI have?; AI artists banned by Google

2023/9/19
logo of podcast AI Unraveled: Latest AI News & Trends, GPT, ChatGPT, Gemini, Generative AI, LLMs, Prompting

AI Unraveled: Latest AI News & Trends, GPT, ChatGPT, Gemini, Generative AI, LLMs, Prompting
AI Deep Dive AI Insights AI Chapters Transcript
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播音员
主持著名true crime播客《Crime Junkie》的播音员和创始人。
Topics
Mustafa Suleyman: 人工智能正经历第三次浪潮，即交互式AI阶段。在这个阶段，机器不仅能够与人类进行交流，还能够与其他机器进行交流，执行任务，并与人和机器进行对话，这将超越简单的自动化工具，更接近科幻电影中所描绘的AI。这将是一个动态和适应性更强的AI。 播音员：目前生成式AI的热度有所下降，但AI技术仍在快速发展。Google和DeepMind开发了一种AI算法，为用户提供个性化的路线建议，该算法利用逆向强化学习和后退地平线逆向规划技术，并利用3.6亿个参数和真实驾驶数据，考虑了旅行时间、通行费、路况和个人偏好等因素。一项关于基于大型语言模型的智能体的全面调查，探讨了其在各种应用中的作用，包括单智能体、多智能体场景以及人机协作。MIT开发的Style2Fab工具，允许用户使用自然语言提示自定义3D打印模型的设计元素，无需复杂的软件或编码。多模态学习是AI的下一步发展方向，Meta正在领导开源研究。 播音员: DeepMind发现大型语言模型可以通过“提示优化”方法优化自己的提示，从而提高准确性。Meta推出了自动预算安排和出价乘数功能，利用AI帮助营销人员优化广告活动。SoftBank正在考虑投资人工智能公司，包括可能与OpenAI建立合作伙伴关系。Anthropic和BCG建立联盟，为企业客户提供人工智能解决方案。Google Colab限制免费用户使用Gradio界面进行稳定扩散，以管理资源压力。

Deep Dive

Key Insights

What is the 'third wave' of AI according to Mustafa Suleyman?

The 'third wave' of AI involves machines not only communicating with humans but also with other machines, enabling interactive and dynamic AI systems capable of executing tasks through dialogue with both humans and other AI systems.

Why is there a decline in popularity for generative AI tools like ChatGPT?

User growth and web traffic for generative AI tools like ChatGPT have decreased, possibly due to the excitement waning or the emergence of alternative tools like DeepMind's Pi, which emphasizes polite and conversational interactions.

How does Google and DeepMind's AI algorithm personalize Google Maps routes?

The AI algorithm uses 360 million parameters and real driving data from users, considering factors like travel time, tolls, road conditions, and personal preferences, to suggest hyper-personalized routes through techniques like Inverse Reinforcement Learning and Receding Horizon Inverse Planning.

What are the potential applications of LLM-based agents?

LLM-based agents can be used in single-agent scenarios, multi-agent scenarios, human-agent cooperation, and even agent societies, making them versatile for various applications from automation to complex problem-solving.

What is MIT's Style2Fab tool and how does it work?

Style2Fab is an AI-powered tool that allows users to personalize 3D printable models by adding custom design elements using natural language prompts, ensuring the functionality of the objects remains intact.

What is multimodal learning in AI, and why is it significant?

Multimodal learning involves AI processing and understanding information through multiple senses, similar to humans. It is significant because it can lead to more human-like AI that can perceive and comprehend the world in richer ways, unlocking new applications and research directions.

Why did Google restrict free users from using Gradio for stable diffusion?

Google Colab restricted free users from using Gradio to manage resource strain, but users can still access the feature by upgrading to a paid tier or using other free interfaces.

What is DeepMind's Optimization by Prompting (OPPRO) technique?

OPPRO is a method where large language models optimize their own prompts using metaprompts, allowing them to generate and refine solutions for improved accuracy, with the prompt format being crucial to its success.

What are Meta's AI-powered tools for marketers?

Meta is launching automated budget scheduling and bid multipliers to help marketers optimize their ad campaigns during the holiday season, leveraging AI to maximize campaign effectiveness.

What is SoftBank considering in terms of AI investments?

SoftBank is considering investing tens of billions in AI companies, including a potential partnership with OpenAI, reflecting strong interest in the future of AI technology.

Chapters
Mustafa Suleyman predicts a "third wave" of AI where machines interact with each other and humans, moving beyond classification and generation to an interactive phase. Despite generative AI's current popularity decline, the future of AI lies in this interactive capability, creating dynamic and adaptable systems.
  • Machines will communicate with each other and humans.
  • AI will carry out tasks through conversations.
  • Interactive AI will be dynamic and adaptable.
  • Generative AI popularity is declining.

Shownotes Transcript

In today's episode, we'll cover DeepMind's prediction of a "third wave" of AI, Google and DeepMind's AI algorithm for personalized route suggestions, a comprehensive survey on LLM-based agents, MIT's Style2Fab AI tool for 3D printing, Meta's efforts in multimodal learning, Google's restriction on Gradio for free users, DeepMind's Optimization by PROmpting, Meta's AI-powered tools for marketers, SoftBank's consideration of investment or partnership with OpenAI, the partnership between Anthropic and BCG for enterprise AI solutions, DeepMind's vision of interactive AI chatbots, a roundup of AI-related news, and a recommendation of the book "AI Unraveled."

Video: https://youtu.be/15OaAO9qsHA)

Mustafa Suleyman, co-founder of DeepMind, believes that we are on the cusp of a new era in artificial intelligence (AI). In what he refers to as the "third wave" of AI evolution, machines will not only communicate with humans but also with other machines. To understand this progression, let's take a quick look at the previous phases. The initial phase was focused on classification, specifically deep learning algorithms that could classify different types of data. Then came the generative phase, where AI systems used input data to create new information. But now, we're heading into the interactive phase. This is where machines will be capable of carrying out tasks by conversing not only with humans but also with other AI systems. Users will be able to provide high-level objectives to their AI and let it take the necessary actions, involving dialogue with both machines and individuals. This interactive AI has the potential to be more than just a tool for automation. It will possess the freedom and agency to execute tasks, bringing us closer to the AI we see in science fiction. Instead of being static, it will be dynamic and adaptable, much like the depictions of AI in movies. Interestingly, despite the excitement surrounding generative AI, there seems to be a decline in its popularity. User growth and web traffic for tools like ChatGPT have decreased. DeepMind itself has released a rival to ChatGPT called Pi, which emphasizes its polite and conversational nature. Overall, it's clear that AI is rapidly advancing, and the future holds great promise for machines that can interact not only with humans but also with their own kind.

Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/)

Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,)" available at Apple), Google), or Amazon today!