“Llama 3 with Agents gives you Godlike power” - Pietro Schirano

David Ondrej Podcast
24 Apr 202474:58

TLDRIn a detailed discussion, Pietro Schirano shares his experience with the recently released Llama 3 AI model. He describes integrating Llama 3 with his agentic framework, My ASRO, which allows specifying goals and directs AI to achieve them efficiently. Schirano won a competition by Anthropic for his framework, which he finds cost-effective and fast. He also compares Llama 3 with other models like Google's Bard and discusses the potential of fine-tuning AI models for personal and brand alignment. Schirano emphasizes the importance of thinking long-term when building AI products and the transformative impact of AI on various aspects of life and business. He concludes by highlighting the need for continuous learning and adaptation as AI evolves.

Takeaways

  • 🚀 **Innovation with LLaMa 3**: Pietro Schirano discusses integrating LLaMa 3 with his agentic framework, ASRO, to achieve goals through a combination of intelligent AI directing less intelligent AI agents.
  • {"💡 **Winning Actlike Competition**":"Pietro won a developer competition by Actlike for his EST framework, showcasing the potential of combining AI models for task execution."}
  • 🤖 **AI as a Team**: The concept of using a less intelligent AI (IU) for task execution while a more intelligent AI (like LLaMa 3) oversees and corrects the process, akin to a senior developer checking junior work.
  • 💰 **Cost and Speed Factors**: The choice of using IU was influenced by its speed and cost-effectiveness, with the model being capable enough to execute tasks under the supervision of a smarter model.
  • 📈 **AI Model Comparisons**: Schirano compares the capabilities of LLaMa 3.5 and 4 with other models like GBD4, noting that for many tasks, LLaMa 3 is quite competitive.
  • 🎨 **Creativity in AI**: There's a discussion on AI creativity, particularly how LLaMa 3 outperforms GBD4 in tasks requiring creativity or brainstorming.
  • 🧠 **AI and Consciousness**: Schirano ponders if the level of creativity in AI like LLaMa 3 is due to differences in training data or reinforcement learning techniques.
  • 📱 **Personalized AI Strategy**: Schirano mentions an offer to join a community for personalized AI strategies, hinting at the growing demand for tailored AI solutions.
  • 🔧 **Practical Use of AI**: He shares his experience using AI for practical purposes, such as creating apps and automating tasks, which has been greatly enhanced by LLaMa 3's capabilities.
  • ⚖️ **Ethical Considerations**: The discussion touches on the ethical side of AI development, including the potential risks and the responsibility of companies like OpenAI in releasing increasingly powerful models.
  • ⏱️ **The Future of AI**: Schirano expresses optimism about the future of AI, predicting that we may see significant advancements and more personalized AI tools within the next five years.

Q & A

  • What was the first thing Pietro Schirano built with Llama 3?

    -The first thing Pietro Schirano built with Llama 3 was an integration with his agentic framework called My ASRO, which allows specifying a goal and then directs a less intelligent AI to achieve that goal under the supervision of a more intelligent AI like Llama 3.

  • How does the My ASRO framework work?

    -My ASRO is a framework that enables users to specify a goal, and then it uses a more intelligent AI to guide a less intelligent AI, or 'mini agent,' to achieve that goal. This approach is likened to a senior developer checking the work of a junior developer at the end of a project.

  • Why did Pietro choose to use Llama 3 for his project?

    -Pietro chose Llama 3 for its speed, cost-effectiveness, and the style of AI it provides. He found the model to be powerful enough to execute tasks as long as a smarter model, like Llama 3, was checking its work.

  • What is the significance of Llama 3's release according to Pietro?

    -The release of Llama 3 is significant because it offers a locally runnable model that can compete with larger models like GT4, providing users with a powerful tool that feels like having 'the power of the Gods in your hands.'

  • How does Llama 3 compare to other models like GT4 in terms of creativity?

    -Pietro found Llama 3 to be more creative than GT4, especially in tasks that require brainstorming or pseudo-creative thinking. He felt that Llama 3's responses were more in line with human creativity.

  • What is the role of fine-tuning in the future of AI according to Pietro?

    -Fine-tuning will play a crucial role in the future of AI, allowing models to become personalized and aligned with individual or company preferences. It will enable AI to act as an extension of a brand or an individual's style.

  • Why did Pietro decide to join the field of AI?

    -Pietro was inspired to join the field of AI after experiencing the transformative power of tools like the iPhone and later, Chat GPT. He saw the potential of AI and decided to devote his life to building and creating within this space.

  • What is the 'smart get smarter' concept in relation to AI?

    -The 'smart get smarter' concept suggests that individuals who are already engaged with AI and continuously learning about it will gain significant advantages over those who do not. It implies that the knowledge and skills acquired through interacting with AI will enhance one's ability to think and solve problems in new ways.

  • How does Pietro envision the future of AI in terms of personal devices?

    -Pietro envisions a future where personal devices are highly knowledgeable about their users and are capable of fine-tuning themselves to align with individual preferences and needs. These devices will be an extension of oneself, providing personalized assistance throughout the day.

  • What is the role of empathy and human touch in the age of AI, as per Pietro's perspective?

    -According to Pietro, the human touch, which includes empathy and the ability to connect with people on a personal level, will remain irreplaceable even in the age of AI. He believes that professionals who excel in these areas, such as doctors, will continue to provide value that AI cannot replicate.

  • How does Pietro describe the impact of building with superintelligence in mind?

    -Pietro describes building with superintelligence in mind as a transformative approach that shifts the limitations from technological constraints to the bounds of intelligence itself. It encourages thinking about how products and features can be enhanced by the most advanced AI capabilities, leading to innovative solutions and new ways of problem-solving.

Outlines

00:00

🚀 Innovative Application of Llama 3

The speaker discusses their initial project using Llama 3, which involved integrating it with their own AI framework called 'My ASRO.' This framework allows users to set a goal and employs a more intelligent AI to guide a less sophisticated AI to achieve that goal. The speaker shares their excitement about the potential of Llama 3 and how it has won a developer competition by Anthropic. They also delve into the cost-effectiveness and speed of using Llama 3, comparing it to other models like GT4 and discussing its capabilities in creative tasks.

05:02

🤖 AI's Impact on Creative and Personalized Tasks

The conversation shifts to the impact of AI on creative tasks and personalization. The speaker highlights their experience with AI's ability to generate creative content and how it outperforms other models in brainstorming ideas. They discuss the potential of AI to become an extension of one's personal or brand identity, particularly in customer support and content creation. The speaker also touches on the importance of fine-tuning AI models for specific tasks and the future of personalized AI.

10:02

🧠 The Evolution of AI and Its Cognitive Abilities

The discussion explores the concept of AI as a tool that can simulate human-like thought processes, drawing parallels with the movie 'Arrival' and the idea that language influences cognitive abilities. The speaker shares how interacting with AI has changed their problem-solving approach, enabling them to explore various possibilities and simulate scenarios effectively. They emphasize the importance of embracing AI and its potential to augment human capabilities.

15:04

🌐 The Future of AI and Its Integration into Society

The speaker contemplates the future of AI, suggesting that it may lead to a new Renaissance era where people are empowered to explore their creativity and knowledge without financial constraints. They discuss the importance of fostering a society that encourages entrepreneurship, experimentation, and free thought, much like the environment that fostered DaVinci's creativity. The speaker also reflects on the influence of one's upbringing and personal circumstances on their potential for innovation and success.

20:05

🎨 Ever Art: AI-Powered Customization for Creatives

The speaker introduces Ever Art, their company that simplifies AI integration for artists, brands, and corporations. Ever Art allows users to train custom models on style, persona, and product by providing a set of images, resulting in an AI model that understands and can replicate the user's specific style. The speaker shares the success of Ever Art, highlighting its ability to fine-tune AI models effectively and the platform's current milestone of training over 20,000 unique image models.

Mindmap

Keywords

💡Llama 3

Llama 3 refers to a presumably advanced version of an AI model or framework discussed in the transcript. It is portrayed as a tool that, when integrated with the speaker's 'agentic framework' called 'My ASRO', provides a powerful ability to achieve goals by directing less intelligent AI agents. The mention of 'Llama 3' suggests it to be a significant technological advancement in the field of AI.

💡Agentic Framework

An 'agentic framework' is a system that allows for the delegation of tasks or goals to autonomous agents within it. In the context of the video, My ASRO is an agentic framework created by the speaker which enables the specification of a goal and uses a more intelligent AI, like Llama 3, to guide less sophisticated AI agents to achieve that goal.

💡Anthropic

Anthropic is mentioned as an organization that emailed the speaker, congratulating him on winning a competition. It implies that Anthropic is likely a company or entity involved in AI development and holds competitions or challenges related to AI, possibly for developers to innovate and create with their technology.

💡Competition

The 'competition' in the transcript refers to a contest likely organized by Anthropic, where developers compete, possibly to create the most innovative or effective use of their AI technology. The speaker's victory signifies his success in utilizing the AI in a novel or particularly effective way.

💡AI Strategy

An 'AI strategy' in this context is a personalized approach or plan for utilizing AI technology to achieve specific goals. The speaker mentions offering personalized AI strategies, suggesting that he provides tailored guidance or frameworks for integrating AI into various tasks or projects.

💡Cloud 3

Cloud 3, as used in the transcript, seems to refer to a specific AI model or cloud-based AI service that the speaker is integrating into his framework. It is implied to be a powerful tool that contributes to the 'Godlike power' the speaker feels when using his integrated system.

💡Fine-tuning

In the field of AI, 'fine-tuning' refers to the process of further training a machine learning model on a specific task, after it has been pre-trained on a larger dataset. The speaker discusses the concept of fine-tuning in the context of making AI models more personalized or better at specific tasks.

💡GBD4

GBD4 appears to be a reference to a different AI model or system that the speaker compares with Llama 3 and Cloud 3. The comparison suggests that GBD4 may be an earlier or less advanced version, and the speaker discusses the cost and capabilities related to it.

💡Personalized AI

The term 'personalized AI' is used to describe AI systems that are tailored to an individual's preferences, style, or specific needs. The speaker highlights the potential future where AI becomes more personalized, possibly through advancements in fine-tuning and model development.

💡Transformer

A 'Transformer' in AI terminology is a type of model architecture that is particularly effective for handling sequence-to-sequence tasks and has become a cornerstone for many state-of-the-art AI models, especially in natural language processing. The mention of Google's involvement suggests the significance of this architecture in advancing AI capabilities.

💡AGI (Artificial General Intelligence)

AGI, or Artificial General Intelligence, refers to highly autonomous systems that can outperform humans at most economically relevant work. The discussion about AGI in the transcript reflects on the timeline and expectations of when such a level of AI might be achieved, and the impact it could have on society and the job market.

Highlights

Llama 3, an AI model, was integrated with an agentic framework called My ASRO, leading to a system that feels like having 'Godlike power' in your hands.

The speaker won a developer competition by Anthropic for creating a framework that allows specifying goals and using AI to achieve them.

The framework uses a less intelligent AI as a mini agent, directed by a more intelligent AI, such as Llama 3, to accomplish tasks.

The speaker describes the ability to create an app by simply stating a goal, with the AI taking over the process and generating the necessary files.

The use of a less expensive model like Llama 3.5 is justified by its speed, cost-effectiveness, and the ability to execute tasks with oversight from a smarter model.

The speaker discusses the creative capabilities of Llama 3, comparing it favorably to other models like gpt-4 in tasks requiring creativity.

Llama 3's performance in text retrieval and its ability to generate content based on provided examples is highlighted.

The speaker shares an anecdote about fine-tuning a model using his own tweets, resulting in the model generating tweets in his style.

The concept of 'the smart get smarter' is discussed, referring to how those who engage with AI can gain a significant advantage over those who do not.

The importance of learning to prompt AI effectively is emphasized, as it is a skill that will become increasingly valuable.

The speaker predicts that within five years, everyone will have a device at home that is personalized to their preferences through fine-tuning.

The potential of Apple entering the AI space and its possible impact is discussed, considering their history of innovation and user base.

The speaker reflects on the transformative moment of using Chat GPT and how it changed his perspective on AI and its potential.

The idea that building products should be done with future super intelligence in mind is proposed to stay ahead in the market.

The speaker emphasizes the importance of thinking long-term and preparing for a future where AI is even more integrated into daily life and work.

The potential for a new Renaissance era driven by AI and human creativity is discussed, suggesting a future of prosperity and innovation.