EP38: Ed Sheeran Listens to Our Podcast, Deep Fakes & Frontier Risks and AI Ears: SALMONN Model
Oct 27, 2023
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Ed Sheeran, a famous musician, makes a surprise appearance and discusses his love for the podcast. The podcast also covers topics such as deep fakes and their potential dangers, AI-generated voices becoming undetectable, challenges in web crawling, limitations of current PDF to text technology, and the idea of creating an agent as a moral conscious.
Generative AI has diverse use cases beyond writing copy and can solve complex problems.
Generative AI can create a wide range of outputs and has the potential to provide accurate information.
Scaling up generative AI models and exploring new approaches can optimize their capabilities and drive innovation.
Deep dives
Limitations of Generative AI
The author of the article claims that generative AI is boring and has limited capabilities beyond writing copy. However, this viewpoint is misguided and fails to acknowledge the real-world applications and diverse use cases of generative AI. The author overlooks the progress made in fine-tuning models, problem-solving, and utilizing prompts to achieve specific tasks. There is still much to explore and discover within existing models, and scaling up is not the only solution to improving generative AI.
Misconceptions About Generative AI
The author's claims that generative AI can only produce extreme representations of people, suffers from poor lighting, and is limited to writing copy are inaccurate. Generative AI can create a wide range of outputs, including moderately ugly people and well-lit images. The author also neglects to consider the benefits of fine-tuned models and the potential for generative AI to solve complex problems and provide accurate information. It is important to understand the true capabilities and applications of generative AI before dismissing its potential.
Ongoing Development and Optimizations
Contrary to the author's assertion that scaling up generative AI models is not an effective solution, ongoing research and advancements in the field continue to optimize and improve their capabilities. New prompting techniques and approaches are constantly emerging, demonstrating the potential for further exploration and fine-tuning of existing models. The current limitations of generative AI should not be seen as the ultimate constraint, but rather as opportunities for growth and innovation.
Using AI to Browse the Web More Effectively
AI techniques are being explored to improve web browsing by interpreting the output code of websites. This enables the AI to understand and navigate the page visually, extracting relevant information and making decisions based on vision. This allows for a deeper understanding beyond just the text, particularly in cases where content is hidden or complex, such as tables, charts, or graphs. The application of this technology extends beyond web browsing, potentially being used for interpreting PDFs, analyzing videos, and more.
AI's Potential to Act on Behalf of Users
AI agents that can act on behalf of users to perform repetitive or boring tasks are seen as the future. These agents would possess multi-modality, being able to see, hear, and interpret audio and video. By injecting personality into these agents and enabling them to understand the world around them, they can provide unique and valuable interactions. This could have applications in virtual worlds, debate simulations, personalized assistance, and more. The potential for AI agents to represent and act as authorized representatives for individuals in various domains is an exciting area that entrepreneurs could explore.
This week, juicy revelations from Ed Sheeran and Taylor Swift's secret love affair! We also discuss the latest mind-blowing AI innovations, including talking heads, vision models that can see from every angle, and intelligent agents plotting world domination. Don't miss our spicy debate on whether AI will transform humanity or destroy us all. Plus advice from Chris on picking up virtual girlfriends using neural networks - this episode has it all!
Please note the Ed Sheeran bit is a joke (please don't sue us haha) and an example of a deep fake and deep fake technology for comedy. Please Ed. We're begging you.
Please consider reviewing the podcast to support the show. We read them all and they mean a lot to us :).
CHAPTERS ===== 00:00 - Ed Sheeran Actually Listens to Our Podcast 02:17 - Frontier Risk and Preparedness, Deep Fakes & VideoReTalking 15:06 - ByteDance's SALMONN AI Audio, Music, Sound Model for AI Hearing 23:01 - Adept's fuyu 8B Vision Model: The Future of How AI Agents Navigate the Web? 34:41 - Multiple Agents in the Metaverse & Zero123++ Making Single Images into 3D Objects 46:42 - Google's Gemini Leaks & Stubbs + Our Failed Gemini Leaker Source 50:17 - Is AI Boring? Chris Roasts Jacob Browning 1:03:41 - Bing's Sydney is Still Trying to Escape & Threatening Humanity
