Vibe coding has taken the AI world by storm, and the Vibe Jam competition is a testament to the incredible potential of this new approach. The submissions showcased in the transcript demonstrate the versatility and creativity of vibe-coded games and applications.

From a Fortnite-style game with Minecraft aesthetics to a line rider-inspired game and a puzzle game with a Tetris-like feel, the submissions are truly impressive. The attention to detail, the seamless integration of 3D elements, and the overall polish of these projects are a testament to the power of vibe coding.

The progression of the air traffic control game, starting from a simple 2D top-down view and evolving into a fully fleshed-out 3D environment, highlights the iterative and dynamic nature of vibe coding. The ability to create such diverse and engaging experiences in a relatively short timeframe is a testament to the efficiency and accessibility of this approach.

The Vibe Jam competition has undoubtedly pushed the boundaries of what is possible with vibe coding, and the submissions showcased in the transcript are a must-see for anyone interested in the future of interactive and immersive experiences.

Miss Straw has released an open-source small model that exceeds the performance of similar larger closed-source versions. This model, known as Knowledge GPTQA, demonstrates impressive capabilities.

The model's latency per token is very low, as shown on the X-axis. On the Y-axis, the GPTQA diamond score, it outperforms larger models such as Gemma 3, Claw 3.5, Haiku GPT40 Mini, and Coher Eye of Vision.

Despite its small size of just 24 billion parameters, the model is multimodal and can run on a single RTX 490 or a Mac with 32 GB of RAM, making it great for local inference. It is also described as a foundation for advanced reasoning, meaning it can be trained to be a thinking model. Additionally, it has a context window of 128,000 tokens, providing decent capabilities.

Developers are encouraged to download, play around with, and explore the potential of this impressive small model.

Claude, the AI assistant, has finally gained the ability to search the web, a long-awaited feature that is now considered a standard for AI assistants. This new capability allows Claude to access up-to-date information, API documentation, and even current bug reports from the web, making it an even more valuable tool for users.

With web search, Claude can now serve as a replacement for traditional search engines like Google, providing users with a more comprehensive and tailored search experience. This feature is particularly useful for Claude's strength in coding, as it enables the assistant to reference the latest information and resources related to programming languages, libraries, and tools.

The addition of web search further enhances Claude's capabilities, allowing users to leverage the assistant's natural language processing and reasoning abilities to find relevant information more efficiently. This integration of web search into Claude's repertoire is a significant step forward, making the AI assistant an even more powerful and versatile tool for a wide range of tasks.

OpenAI has released three new updates to their audio models, showcasing significant advancements in transcription, text-to-speech, and creative collaborations.

Firstly, they have introduced two new text-to-speech models, GPT-4 Transcribe and GPT-4 Mini Transcribe, which outperform their previous Whisper model in every language tested. These models offer high-quality speech synthesis, making them a valuable tool for various applications.

Secondly, OpenAI has developed a new text-to-speech model that allows users to provide specific instructions on how they want the model to speak the given text. This includes directions on voice affect, tone, pacing, and emotion, enabling users to create highly customized and expressive audio outputs. You can try out this feature at openai.fm, where you can experiment with different voice settings and hear the results.

Furthermore, OpenAI is partnering with Teenage Engineering, a renowned design company, to hold a competition for the most creative text-to-speech creations. The top three winners will receive a Teenage Engineering OB4, a $550 audio device known for its exceptional design.

These updates from OpenAI demonstrate their continued commitment to advancing audio technologies and empowering users with innovative tools for speech synthesis, transcription, and creative expression.

Windsurfing Wave 5 has introduced significant improvements to its tab completion feature, enhancing the traditional coding experience. The new tab completion functionality offers a seamless tool that can write new code, make multi-line edits on existing code, and navigate through files with ease.

The key highlights of the Wave 5 update include:

• Unified Tab Completion: Windsurfing Wave 5 has combined autocomplete, supercomplete, tap to jump, and tap to import into a single, streamlined tab completion tool.
• Improved Quality and Speed: The new tab completion experience provides a significant leap in quality and speed compared to the previous passive coding approach.
• Unlimited Access: The improved tab completion feature is now available to all users, including free users, allowing everyone to benefit from this enhanced coding experience.

With these updates, Windsurfing Wave 5 aims to elevate the traditional coding workflow, empowering developers to work more efficiently and effectively.

Korea AI has released a big update that gives users much more control over their AI video creations. The new video training feature allows users to train the Juan 2.1 model on their own videos, enabling the model to learn specific styles, objects, and even motions. Once the training is complete, users can create new AI videos based on the learned characteristics, allowing for highly customized and personalized video content. This update provides creators with a powerful tool to generate unique and tailored AI-driven videos, expanding the possibilities of AI-assisted content creation.

Notebook LM, a powerful language model, has recently received a significant update that allows it to generate mindmaps based on the documents provided. This new feature is a game-changer, as it enables users to visually explore and understand the knowledge contained within their documents.

The mindmap generation functionality of Notebook LM provides a comprehensive overview of the key concepts, relationships, and insights present in the given documents. By transforming the textual information into a structured, visual representation, users can quickly identify the most important ideas, discover connections, and uncover hidden patterns.

This capability is particularly useful for researchers, students, and professionals who need to synthesize and make sense of large volumes of information. With Notebook LM's mindmap generation, users can efficiently navigate complex topics, identify knowledge gaps, and generate new insights that might have been overlooked in the raw text.

Moreover, the integration of this feature within Notebook LM's existing podcast generation functionality further enhances the model's ability to facilitate learning and knowledge exploration. Users can now seamlessly transition between the audio and visual representations of the document content, enabling a more immersive and engaging experience.

Overall, Notebook LM's mindmap generation is a powerful tool that empowers users to unlock the full potential of their documents, fostering deeper understanding and facilitating more informed decision-making.

We are thrilled to announce a major upgrade to Han's open-source 3D generation model, including two groundbreaking new versions:

1. 3D 2.0 MV (Multi-View Generation): This model allows for the generation of 3D objects from multiple viewpoints, enabling creators to capture the full 3D structure of their creations.

2. 3D 2.0 Mini: A more compact version of the 3D generation model, designed for easier deployment and use on a wider range of hardware, including personal computers and mobile devices.

These new models are open-source, meaning you can download them and start experimenting right away. They offer powerful capabilities for creators looking to incorporate 3D elements into their motion graphics, games, videos, and other projects.

Whether you're an experienced 3D artist or just starting to explore the world of 3D modeling, these models from Han provide a versatile and accessible platform to bring your creative visions to life. Dive in, experiment, and let us know what you create!

Stability AI has released a groundbreaking new feature called Stable Virtual Camera, which allows users to transform 2D images into immersive 3D videos. This innovative technology takes us one step closer to the creation of entire movies and TV shows using AI.

With Stable Virtual Camera, users can upload a simple 2D image and then manipulate the camera, zooming out and moving around the scene. The resulting video is a fully 3D, immersive experience, all generated from the original 2D image.

This capability is a significant advancement in the field of creative AI, empowering anyone to create dynamic, engaging video content without the need for complex 3D modeling or animation tools. The feature is currently open-source and available for non-commercial use, making it accessible to a wide range of creators and enthusiasts.

The release of Stable Virtual Camera by Stability AI represents a major step towards the future of AI-powered content creation, where the barriers to entry for high-quality video production are significantly lowered. This technology has the potential to revolutionize the way we approach filmmaking, motion graphics, and other visual media.

Gemini, the AI language model, has recently added a new feature called "Canvas" that allows users to write code directly in the browser and execute it. This functionality is similar to what is already available in Claude and ChatGPT, providing a seamless coding experience within the platform.

With Gemini's Canvas, users can now write HTML or JavaScript code, edit it directly in the browser, and run it immediately. This enables a more interactive and iterative coding workflow, where developers can quickly test and refine their code without the need to switch between different environments.

The addition of Canvas to Gemini further enhances its capabilities as a versatile AI-powered coding assistant, allowing users to leverage its language understanding and generation abilities directly within a browser-based coding environment.

LG has released an open-source thinking model called Exo1 Deep, designed to enhance reasoning capabilities. The model comes in three versions: a 32 billion parameter version, a 7.8 billion version, and a 2.4 billion version, making it suitable for both high-performance and local usage.

The 32 billion parameter version of Exo1 Deep has achieved the top spot on the AME benchmark, outperforming competitors while using only 5% of the model size. When compared to the Deepseek R1 full version, Exo1 Deep 32B shows comparable performance across various benchmarks.

Exo1 Deep is specifically focused on genetic AI, aiming to improve reasoning capabilities. The open-source nature of the model allows users to download and experiment with it, exploring its potential for a wide range of applications.

The AI landscape continues to evolve rapidly, with a flurry of exciting developments across various domains. From the impressive advancements in vibe-coded games and simulations to the release of powerful open-source models like Miss Straw's knowledge GPTQA and LG's Exo1 Deep, the AI community is pushing the boundaries of what's possible.

The addition of web search capabilities to Claude, as well as the improvements to OpenAI's text-to-speech models, are particularly noteworthy, showcasing the growing versatility and real-world applicability of these AI systems.

The emergence of new 3D modeling and video generation tools, such as Han's 3D 2.0 models and Stability AI's stable virtual camera, further demonstrate the creative potential of AI-powered tools for content creators.

Overall, the AI news covered in this transcript highlights the rapid pace of innovation and the increasing accessibility of advanced AI capabilities to a wider audience. As these technologies continue to evolve, the possibilities for their application in various industries and domains are truly exciting.