Last Week in AI #162 - Udio Song AI, TPU v5, Mixtral 8x22, Mixture-of-Depths, Musicians sign...
TLDRIn the latest episode of 'Last Week in AI', hosts Andre and Jeremy discuss exciting AI news, including the launch of Udio, a new music generation platform, and TPU v5, Google's latest AI accelerator. They also delve into the legal and ethical aspects of AI with the case of a Google engineer accused of stealing trade secrets and the call for responsible AI music practices by prominent artists. The episode covers advancements in AI technology, policy recommendations, and the impact of AI on various industries.
Takeaways
- 🎵 Udio, a new music generation platform, has entered the space with impressive results, aiming to be useful for educational and marketing applications.
- 🚀 Anthropic launches external tool use for CLAI, enabling stock taker integrations and more, enhancing its competitiveness against OpenAI.
- 🔧 Repet is integrating AI tools for code repair, using a mixture of source code and natural language to fix issues in the code.
- 📱 Early reviews of the Human AI pin are not impressed, with issues of slow response and bugs, though updates are expected to improve it.
- 🎨 Microsoft's 365 Co-pilot gets a GPT-4 upgrade, improving image generation and reasoning capabilities.
- 🖼️ AI editing tools are being made available to all Google Photos users, enhancing features like Magic Eraser and photo blur.
- 🚀 Google announces the Cloud TPU v5, its most powerful AI accelerator yet, with significant improvements in performance and scalability.
- 💽 Meta unveils a new version of its custom AI chip, the MTI, with three times better overall performance compared to its predecessor.
- 🔧 Intel unveils its new AI accelerator, the Vatti Free Ship, which claims to be faster and more power-efficient than Nvidia's H100.
- 🎥 Adobe is buying videos to build AI models, offering $3 per minute to its network of photographers and artists for everyday action clips.
Q & A
What is the main topic of discussion in the latest episode of Last Week in AI?
-The main topic of discussion in the latest episode of Last Week in AI is the summary and analysis of the most interesting AI news from the previous week, including new developments in music generation AI, tool use functionality for AI, code repair AI, and AI hardware advancements.
Which AI-generated music platform was recently launched and is gaining attention in the music industry?
-Udio, a new music generation platform founded by former employees of De mind, was recently launched and is gaining attention in the music industry due to its high-quality song generation capabilities.
What is the significance of the new Mixture-of-Depths model developed by DeepMind?
-The Mixture-of-Depths model developed by DeepMind is significant as it allows for the efficient allocation of compute resources in Transformer-based language models, potentially leading to more efficient and cost-effective AI systems.
What is the main concern regarding the use of AI in music generation according to the artists who signed the open letter?
-The main concern regarding the use of AI in music generation, according to the artists who signed the open letter, is that it infringes on and devalues the rights of human artists, and they are calling for organizations to stop using AI in ways that undermine or replace human artistry.
How does the new TPU v5 accelerator from Google compare to its predecessor in terms of performance?
-The TPU v5 accelerator from Google offers significant improvements over its predecessor, with claims of 2X improvements in FLOPs (floating-point operations per second) and 3X improvement in high bandwidth memory, making it the fastest interconnect yet.
What is the primary goal of the AI safety institute announced by the Canadian government?
-The primary goal of the AI safety institute announced by the Canadian government is to protect against advanced or nefarious AI systems, focusing on the safe and responsible development and use of AI technologies.
What is the potential impact of the new AI training transparency measure proposed by Representative Adam Schiff?
-The potential impact of the AI training transparency measure proposed by Representative Adam Schiff is that organizations would be required to disclose whether they used copyrighted data in their AI training, providing more transparency and potentially affecting how companies handle intellectual property in AI development.
What does the new policy paper on responsible reporting for Frontier AI development suggest regarding the sharing of AI models?
-The new policy paper on responsible reporting for Frontier AI development suggests that sharing the AI models themselves is not necessary. Instead, it proposes reporting on a wide variety of different aspects related to AI development, such as risk assessments and anticipated applications, without sharing the models to protect intellectual property.
What is the significance of the Washington State judge's decision to block the use of AI-enhanced video as evidence?
-The significance of the Washington State judge's decision to block the use of AI-enhanced video as evidence is that it sets a potential legal precedent for the admissibility of AI-generated content in court, raising questions about the reliability and trustworthiness of such technology in legal proceedings.
How does the new AI music generation platform Udio differentiate itself from its competitors?
-Udio differentiates itself from its competitors by focusing on catering more to musicians, offering the ability to control and tweak the music generation process, and aiming to provide a more user-friendly experience for those in the music industry.
Outlines
🎙️ Introductions and Personal Updates
The episode begins with hosts Andre and Jeremy introducing themselves and sharing some personal updates. Andre, a recent Stanford PhD graduate working at a generative AI startup, and Jeremy, the co-founder of Gladstone AI, an AI National Security Company, discuss their recent experiences. They also mention a potential new podcast intro song generated by a tool called Yudo, highlighting the practical applications of AI in creative fields.
🎵 Excitement in Music Generation Space
The hosts delve into the music generation space, discussing the recent developments and excitement around tools like Yudo and Audio. They highlight the impressive quality of AI-generated music and the potential applications, including educational aids and marketing. The conversation touches on the investment and backing these platforms receive, and the ethical considerations surrounding the use of copyrighted data for training AI models.
🤖 Anthropic's External Tool Use for CLAI
The discussion shifts to Anthropic's launch of an external tool use feature for their AI, enabling stock taker integrations and more. The hosts explain how this development enhances the capabilities of the AI, allowing it to choose and use tools with high accuracy. They also touch on the potential implications for AI progression towards general purpose capabilities and the competition that is emerging in the AI space.
🔧 Building LLMs for Code Repair
The hosts explore the application of AI in code repair, discussing how companies like Replit are integrating AI tools to fix bugs in source code. They highlight the advantages of using a mixture of source code and natural language for training these models and the potential for AI to contribute to the open source movement.
📱 Early Reviews of Human AI Pin
The conversation turns to the Human AI Pin, a wearable device that functions as a new type of hardware with AI capabilities. The hosts discuss the initial reviews, which suggest that while the device is innovative, it may need further refinement as users report issues with responsiveness and functionality.
🖼️ AI Editing Tools for Google Photos
The hosts discuss the expansion of AI editing tools to all Google Photos users, including features like Magic Eraser and portrait light. They note the trend of incorporating AI-powered features in smartphones and the competitive landscape in the smartphone industry.
🚀 Google's TPU v5p Accelerator
The conversation highlights Google's latest AI accelerator, the TPU v5p, which is claimed to be their most powerful yet. The hosts discuss the improvements in performance, connectivity, and scalability, and how these advancements reflect Google's focus on hardware in their AI efforts.
💽 Meta's AI Chip and Intel's Accelerator
The hosts discuss Meta's unveiling of a new version of their custom AI chip, the MTI, and Intel's new AI accelerator, the Vatti Freeship. They explore the competition in the AI chip market and the strategic moves by companies to develop their own chip designs to capture more profit in the AI stack.
🏢 Adobe's AI Video Generation Model
The hosts talk about Adobe's efforts to build an AI video generation model by paying photographers and artists for short video clips. They discuss Adobe's strategy of using proprietary content for training their models to avoid potential copyright issues.
📚 OpenAI's Data Collection Practices
The hosts address the controversy surrounding OpenAI's data collection practices, particularly their transcription of over a million hours of YouTube videos to train their AI models. They discuss the legal and ethical implications of using copyrighted data for AI training and the potential fallout from such practices.
🚗 Weo's Paid Robotaxi Service
The hosts mention Weo's launch of a paid robotaxi service in Los Angeles, following their year-long offering of free tours. They discuss the company's expansion plans and the potential impact on the ride-hailing industry.
📈 OpenAI's Fund Structure
The hosts discuss changes in OpenAI's fund structure, noting that Sam Altman is no longer the owner of the startup fund. They reflect on the unusual nature of OpenAI's financial arrangements and the potential implications of these changes.
🌐 Mistral's New AI Model
The hosts highlight the launch of Mistral's new AI model, an 8x22b model that outperforms previous versions and other open source models. They discuss the model's impressive specifications and its potential impact on the AI landscape.
📃 Policy and Safety in AI
The hosts discuss various policy and safety aspects in AI, including the introduction of the VIS Generative AI Corporative Disclosure Act, which requires organizations to disclose the use of copyrighted data in AI training. They also touch on the case of a Google software engineer charged with theft of trade secrets and the broader issues of intellectual property and national security in AI development.
💡 Responsible AI Development
The hosts discuss a policy paper on responsible AI development, which proposes reporting requirements for advanced AI development to balance intellectual property protection and the need for policy and regulatory oversight. They highlight the paper's suggestions for voluntary and regulatory measures to ensure transparency and safety in AI development.
🌿 AI and Energy Demands
The hosts talk about the Biden Administration's initiative to discuss AI energy demands with tech companies, exploring the idea of placing small nuclear plants near data centers to meet the high energy requirements of AI training runs.
⚖️ Legal Use of AI-Enhanced Evidence
The hosts discuss a legal case where a Washington State judge blocked the use of AI-enhanced video as evidence, marking a potential precedent in the use of generative AI in legal proceedings.
💸 Canadian Government's AI Investment
The hosts highlight the Canadian government's announcement of $2.4 billion in AI-related investments, including the establishment of an AI safety institute. They discuss the implications of this investment for AI research and development in Canada.
🎶 AI Music Practices
The hosts address a call for responsible AI music practices by artists, including Billy Idol and Nicki Minaj, who have expressed concerns about AI undermining human artistry and the need for fair compensation for artists' work.
🎥 AI-Generated Music Video
The hosts discuss the creation of a music video entirely by AI, showcasing the potential of AI in generating creative content. They reflect on the implications for the entertainment industry and the potential applications of AI in creating visual content.
Mindmap
Keywords
💡AI
💡Udio
💡Music Generation
💡AI National Security Company
💡Generative AI
💡AI Ethics
💡Data Centers
💡Nuclear Fusion
💡AI Music Video
💡AI Safety Institute
Highlights
Udio, a new music generation platform, has generated a lot of excitement with its high-quality AI-produced songs.
Udio's founding team, former employees of De mind, have raised $10 million in pre-launch funding.
The quality of music generated by Udio is reportedly so high that it's hard to catch any AI-generated weirdness.
Udio's model allows for significant control over the generation process, aiming to cater to musicians more effectively.
The hosts discuss the potential use of generative AI in various applications, such as educational aids and marketing.
Anthropic launches an external tool use for CLAI, enabling stock taker integrations and more.
CLAI's new functionality allows for the insertion of simple code snippets to use third-party features and APIs.
Foundation models like CLAI and Udio are pushing the boundaries of what AI can achieve in music generation.
The hosts discuss the potential for AI-driven devices to replace traditional hardware, such as phones.
Microsoft's 365 Co-Pilot gets a GPT-4 upgrade, improving image generation capabilities.
Google announces Cloud TPU v5, its most powerful AI accelerator yet.
Meta unveils a new version of its custom AI chip, the MTI, with significant performance improvements.
Intel unveils its new AI accelerator, the Vatti Freeship, which aims to enhance AI training and inference performance.
Adobe is buying videos to build AI models, offering $3 per minute for short clips of everyday actions.
OpenAI reportedly transcribed over a million hours of YouTube videos to train its models, raising legal and ethical questions.
Mistral launches a new 8x22b model, a significant increase in size and capability from their previous models.
Aurora M, an open-source multilingual language model, is released with a focus on adhering to US executive order considerations.
DeepMind explores the use of mixture of depths in Transformers, allowing for compute and Transformer-based language models to be dynamically allocated.
Google proposes an efficient infinite context Transformer with infinite attention, allowing for long inputs with bounded memory and computation.
Octopus V2 is an on-device language model that enables high accuracy and reduced latency for edge device deployment.
A paper from Anthropic discusses many-shot jailbreaking, a method to make language models perform unwanted actions through prompt manipulation.
