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Yann LeCun humorously comments on a broken AC at OpenAI, suggesting that if AGI were to malfunction, it would be a temporary issue. His remarks highlight the unpredictable nature of AI development.
Eero Simoncelli invites prospective PhD students to apply to NYU for a program focused on vision studies, encompassing computer vision, neuroscience, perception, and image processing.
François Chollet announces the $1M ARC Prize competition at Boston University, aimed at advancing open AGI progress. The event will take place on October 8, co-hosted by notable figures in the tech industry.
The ARC Prize event featuring François Chollet and Mike Knoop will take place live at MIT in Boston on October 8, facilitated by Professor Josh Tenenbaum and AI@MIT.
Boston University is hosting the ARC Prize competition, offering $1 million to advance open AGI progress. The event features co-hosts from Zapier and Google, taking place on October 8.
Ben Cohen praises NotebookLM's audio overviews in the Wall Street Journal, calling it one of the most astonishing demonstrations of AI's potential, second only to ChatGPT.
A new guide titled 'Improving Video Diffusion Models without Training Through a Teacher's Guide' offers insights into enhancing video diffusion models, presenting innovative strategies for optimization without the need for extensive training.
Researchers introduce Presto!, a novel approach to accelerate music generation using score-based diffusion methods. This innovation aims to enhance efficiency without compromising quality, showcasing collaborative efforts from Adobe Research and UCSD.
Despite occasional inactivity, the author actively monitors the Hugging Face papers repository daily for the latest research papers, engaging in discussions with authors through the platform's discussion section.
Presto! introduces a novel approach to accelerate music generation using score-based diffusion transformers. By implementing a dual-faceted distillation method, it achieves a remarkable 10-18x speed improvement while maintaining high-quality outputs and diversity.
OpenMusic, a new model launched on Hugging Face and Gradio, allows users to generate music from text prompts. Users are encouraged to share their audio creations.
Hugging Face has launched a new tool that enables developers to create AI-powered web applications using OpenAI technology in just minutes, streamlining the development process significantly.
SUN YOUNG HWANG shares excitement about 'openai-gradio', a Python package that simplifies the creation of web apps using the OpenAI API, highlighting its ease of use for developers.
A new real-time speech-to-text application, Faster Whisper, has been developed using Gradio. This innovative tool incorporates DeeplX for translation, enhancing accessibility and usability in various contexts.
Haodong Li announces the introduction of Lotus, a diffusion-based visual foundation model that excels in Zero-Shot Depth and Normal estimation tasks, achieving state-of-the-art performance in geometry perception.
Yann LeCun emphasizes the limitations of video generation systems as world models, warning that they may experience mode collapse without detection, which undermines their reliability.
Yann LeCun announced that ICLR 2025 received over 11,000 full paper submissions, marking a 61% increase. The conference is currently matching papers to reviewers and will soon provide bidding instructions.
Yann LeCun shares his agreement with the majority prediction regarding which AI leader will be the most liked by the end of the year, responding to Lucas Beyer's weekend prediction fun.
François Fleuret announces a talk by Yann LeCun in Geneva on October 11, focusing on how machines could achieve human-like intelligence. The event promises to explore significant AI advancements.
François Chollet emphasizes the importance of asynchronous logging in AI training, noting that Keras fit()
automatically handles both data prefetching and logging, ensuring efficient training with no idle time.
Jeff Dean critiques a flawed estimate from Strubell et al. regarding the cost of training large AI models, revealing that the actual costs can be significantly lower with efficient hardware and clean energy practices.
Jeff Dean emphasizes the need for transparency in environmental impact assessments related to AI, criticizing the persistence of incorrect data in published papers and advocating for corrections to enhance scientific integrity.
Tutor CoPilot presents a human-AI collaboration model aimed at enhancing real-time expertise. This innovative approach seeks to scale knowledge sharing and improve learning experiences through AI integration.
Haodong Li introduces LOTUS, a diffusion-based visual foundation model designed for high-quality dense prediction tasks. The model leverages pre-trained text-to-image diffusion models to improve zero-shot generalization, with resources available on Hugging Face and GitHub.
Gradio announces the restoration of its Share API and Share Links services, thanking the community for their patience. Users can now seamlessly create shared links for their AI projects, enhancing collaboration.
Meta has launched CoTracker 2.1, an enhanced Transformer-based model for video motion prediction, capable of tracking 70,000 points simultaneously on a single GPU, now available on Hugging Face.
Alex Krause showcases a new machine learning depth model from Apple that generates depth maps in meters from single images. The demo allows users to download depth maps and create real-scale 3D object files.
Apple has unveiled a groundbreaking ML Depth Model that generates depth maps in meters from single images. A demo allows users to download these maps and create real-scale 3D object files of the scene.
Elon Musk quoted a meme discussing Sam's statements on AI governance, emphasizing the need for checks and balances, compute allocation for superalignment, and the importance of regulation in AI development.
Sebastian Raschka praises the Llama 3.2 1B and 3B models for their compact yet powerful capabilities. He shares insights on their architecture, encouraging hands-on learning through his implementation from scratch.
Yann LeCun discusses the early development of self-driving systems, referencing the NYU-NetScale LAGR system and its use of ConvNets for perception, highlighting advancements in AI for autonomous driving since 2004.
François Chollet shares a practical tip on weights sharding, recommending full replication for all variable dimensions except the last, which should be sharded across the model axis.
François Chollet outlines new features for Keras models on JAX, enabling seamless data parallelism and advanced model parallelism configurations for large-scale training, enhancing efficiency without altering existing code.
François Chollet discusses the ModelParallel scheme, emphasizing its scalability for model sizes and multi-host training. He highlights the importance of consistent random seed initialization across hosts to avoid weight discrepancies.
François Chollet highlights the advantages of using JAX with Keras for large-scale model training, emphasizing its smooth performance and high utilization, making it a leading choice in the field.
Google AI emphasizes the importance of language inclusivity in accessing information, showcasing advancements in large language models (LLMs) aimed at creating a more equitable digital landscape for all languages.
A new web UI for Apple Depth-Pro enables users to estimate metric depth and visualize depth maps by uploading images. This tool utilizes the Depth Pro model and features a user-friendly Gradio interface.