Udio, the Mysterious GPT Update, and Infinite Attention

AI Explained
11 Apr 202414:08

TLDRThe video discusses the recent AI developments, focusing on the release of Udio, an AI music creation tool, and its impact on the music industry. It also covers the puzzling release of GPT-4 Turbo from OpenAI, lacking detailed benchmarks, and the potential of infinite context in Transformer models as presented by Google. The video highlights the mixed reactions from musicians and the continuous advancements in AI technology.


  • 🚀 The AI world has seen significant developments with the release of Udio, a model that showcases AI's capabilities and its potential to provide infinite attention.
  • 🎶 Musicians are reacting to Udio's impact on the music industry, with some expressing concern about the future, while others are excited about the possibilities it presents.
  • 🤖 Udio's ability to perform standup comedy and mimic human speech has left a strong impression, blurring the lines between AI and human-generated content.
  • 🌟 Will.i.am, an investor in Udio, highlights the tool's aim to support creatives and artists, suggesting a collaborative approach to AI in the creative field.
  • 🔥 The reaction to Udio has been mixed, with some professionals acknowledging its advanced features and others contemplating its implications on the industry.
  • 🌐 Open AI's release of GP4 Turbo has raised questions due to its mysterious nature and lack of detailed benchmarks, leading to speculation about its true capabilities.
  • 📈 Benchmarking results indicate slight improvements in GP4 Turbo's performance, particularly in handling complex questions, suggesting an augmentation of the data set.
  • 🔄 The Open Weights Community has released a new model, but it hasn't reached the level of GPT-4, indicating a gap that may still need to be bridged.
  • 🌟 Google's paper on Transformer models with infinite context is intriguing, hinting at potential advancements in AI's ability to process vast amounts of data.
  • 🎥 Google's release of AI-trained football players demonstrates the potential of deep reinforcement learning in creating more agile and responsive AI agents.

Q & A

  • What is the main topic of the transcript?

    -The main topic of the transcript is the recent developments in the world of AI, focusing on the release of Udio, the mysterious update from OpenAI referred to as GPT-4 Turbo, and a new paper from Google about Transformer models with infinite context.

  • How are musicians reacting to Udio?

    -The reactions from musicians are mixed. Some find it highly advanced and are amazed by its capabilities, while others express concern about the future of musicians, listeners, and the industry as a whole.

  • What is Udio capable of?

    -Udio is capable of generating AI music, standup comedy, and even mimicking British accents. It has the potential to create music that could convince many people that they're listening to human-made music.

  • What is the significance of the GPT-4 Turbo update from OpenAI?

    -The significance of the GPT-4 Turbo update is that it suggests improvements over previous iterations without providing detailed benchmarks, leading to some confusion and speculation about its capabilities.

  • What does the Google paper on Transformer models propose?

    -The Google paper proposes a method for Transformer models to have the ability to process infinite context, which could potentially allow AI to handle vast amounts of data and information.

  • What is the role of Uncharted Labs in the development of Udio?

    -Uncharted Labs, made up primarily of former Google deep mind staff, is the company behind Udio. They aim to build AI tools to enable the next generation of music creators.

  • How does the transcript describe the performance of GPT-4 Turbo on math and logic benchmarks?

    -The transcript describes a slight improvement in GPT-4 Turbo's performance on the hardest style of questions, from 35% to around 45%, and a bump in performance from 57% to 66% for one level down questions, but not much change in easier questions.

  • What is the potential application of Udio in education?

    -The potential application of Udio in education is to create catchy tunes for school children to help them remember what they've learned in their lessons, in whichever language.

  • What is the main difference between Udio and other AI models like GPT-3?

    -The main difference is that Udio, similar to Chat GPT, can generate outputs that are so human-like that one might not realize they're interacting with an AI until they look closely, especially in the domain of music generation.

  • What is the significance of the long context adaptation capability proposed in the Google paper?

    -The long context adaptation capability could allow AI models to process and understand vast amounts of data, such as entire libraries or every email one has ever sent, which could significantly enhance their performance and applications.



🎵 AI in Music: Udio and its Impact

This paragraph discusses the recent developments in AI within the music industry, particularly focusing on the release of Udio and its capabilities. Udio has been praised for its ability to generate music that closely resembles human-made compositions, causing a mix of excitement and concern among musicians and industry professionals. The paragraph also touches on the reactions of musicians to Udio, with some expressing fear about the future of music creation and others showing curiosity about the potential of AI in music. The discussion extends to a comparison between Udio and OpenAI's V3 model, highlighting Udio's potential to revolutionize the music industry by providing tools for the next generation of creators.


🤖 GPT-4 Turbo: Mysterious Updates and Benchmarks

The second paragraph delves into the peculiar release of GPT-4 Turbo by OpenAI and the subsequent lack of detailed information regarding its improvements. Despite claims of significant advancements, the absence of benchmarks leaves the community questioning the true nature of these improvements. The paragraph also explores the performance of GPT-4 Turbo on various benchmarks, showing modest increases in performance on complex questions. The discussion then shifts to the open weights community's releases, which, while not reaching the levels of GPT-4, still show promise. The paragraph concludes with a mention of a sponsored segment by Assembly AI and its Universal 1 model, which has shown impressive performance in transcribing and processing audio.


📚 Infinite Context in AI: Google's New Research

The final paragraph focuses on a fascinating new research paper from Google concerning Transformer models with the potential for infinite context. While the paper does not provide all the details, it suggests a future where AI could process vast amounts of data, such as entire libraries or life-long emails. The paragraph also draws a potential connection between this research and the long context capabilities of Gemini 1.5, hinting at the possibility that similar techniques might have been used to enhance its performance. The discussion concludes with a nod to Google's contribution to AI with the release of deep learning-trained agents, showcasing the potential for AI in various fields despite internal challenges and speculation about the future of AI research.




Udio is an AI model developed by Uncharted Labs, which is capable of generating music and other audio content. It has been noted for its ability to produce high-quality, human-like music, causing a significant reaction in the music industry. In the video, Udio is highlighted as a groundbreaking technology that could potentially revolutionize music creation and consumption.

💡GPT-4 Turbo

GPT-4 Turbo is an AI model update from OpenAI, which has been described as a significant improvement over previous iterations. However, the exact nature of these improvements and the benchmarks used to measure them have been a subject of confusion and debate. The video discusses the mysterious release of this model and the lack of clear details about its advancements.

💡Infinite Context

Infinite Context refers to the theoretical capability of AI models to process and understand an unlimited amount of context or information. This concept is explored in a Google paper discussed in the video, which suggests that AI models could potentially handle vast amounts of data, even entire libraries, without being constrained by memory or computational limits.

💡Music Industry

The Music Industry is the business sector concerned with the creation, production, and distribution of music. In the context of the video, the emergence of AI models like Udio has sparked discussions about the future of the music industry, including the potential impact on musicians, listeners, and the overall business model.

💡AI-generated Classical Music

AI-generated Classical Music refers to the output of AI models that create classical music compositions. This is a significant achievement showcased by Udio, as it demonstrates the model's ability to understand and replicate complex musical structures and styles, which is a hallmark of classical music.


OpenAI is an artificial intelligence research lab that focuses on ensuring that artificial general intelligence (AGI) benefits all of humanity. In the video, OpenAI is mentioned in relation to the release of GPT-4 Turbo and the ongoing discussions about the improvements and capabilities of their AI models.


Benchmarks are standard tests or criteria used to compare the performance of different systems, in this case, AI models. They are essential for evaluating the improvements and capabilities of AI models, as they provide a consistent and measurable way to assess performance.

💡Transformer Models

Transformer Models are a type of deep learning model architecture that is particularly effective for natural language processing tasks. The video discusses a Google paper on Transformer models that could potentially handle infinite context, which would be a significant advancement in the field of AI.

💡Uncharted Labs

Uncharted Labs is the company behind the AI model Udio. They focus on developing AI tools for creatives and artists, aiming to be an ally in the creation of new music and audio content. The video highlights the company's role in the development of Udio and the impact it could have on the music industry.

💡AI Tools for Creatives

AI Tools for Creatives refer to artificial intelligence technologies designed to assist artists and creators in their work. These tools can range from AI-generated music, like what Udio produces, to AI that helps with visual art or writing. The video emphasizes the potential of AI tools to revolutionize the creative process and the industries they serve.

💡Deep Reinforcement Learning

Deep Reinforcement Learning is a subfield of machine learning where an agent learns to make decisions by interacting with an environment. It combines deep learning, which is concerned with understanding the underlying structure of data, with reinforcement learning, which focuses on training agents to make decisions that maximize rewards.


Udio, a new AI model, has been released and is generating a lot of buzz in the AI community.

Udio has the capability to pay infinite attention and has reminded millions of the potential of AI.

Open AI's release of GP4 Turbo has been perplexing due to its lack of detailed information and improvements.

Udio's ability to generate AI classical music and standup comedy has been showcased.

Will I Am, an investor in Udio, states that Udio is the best tech on Earth and aims to support creatives and artists.

Mixed reactions from musicians about Udio's impact on the music industry and the future of music creation.

GP4 Turbo's release was mysterious, with claims of improvements but no benchmarks provided.

Benchmarking work on GP4 Turbo shows a slight increase in performance on difficult questions.

The open weights community has released a new model, but it hasn't reached the level of GPT-4.

Google's new paper discusses Transformer models with infinite context, potentially revolutionizing AI's capabilities.

The paper suggests a method for existing models to be trained for long or infinite context, which might be behind Gemini 1.5's capabilities.

Demis Hassabis, co-founder of DeepMind, has expressed difficulties for Google to catch up in AI video generation and has considered starting a new research lab.

Udio was developed by Uncharted Labs, primarily composed of former Google DeepMind staff.

Google has released a new deep learning model that trained cute football players to perform better through deep reinforcement learning.

The AI field has seen rapid developments and releases, indicating a roller coaster of advancements in a short period.