Your Android/Windows Devices Can Power Autopilot 🚗

PLUS: AI Music Geneation Model that "Listens", Meta's 44x Faster Video Editor

Today’s top AI Highlights:

1. Flowpilot: An Openpilot-based Driver Assistance System that runs on Linux, Windows and Android-powered Machines

2. StemGen: A Music Generation Model that Listens

3. Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis

4. Create Your AI Assistant in Minutes

& so much more!

Read time: 3 mins

Latest Developments 🌍

Your Android and Windows Devices Can Power Autopilot 🚗

Flowpilot is an open-source driver assistance system based on Openpilot. It extends the capabilities of standard driving assistance tools to a wider range of vehicles and operating systems, including Linux, Windows, and Android. This development signifies a substantial leap in making advanced driving technologies more accessible and versatile.

Key Highlights:

1. Flowpilot offers an array of functionalities such as Adaptive Cruise Control, Automated Lane Centering, Forward Collision Warning, Lane Departure Warning, and Driver Monitoring. These features are compatible with a growing list of car makes and models, showcasing the system's adaptability and community-driven support.

2. Uniquely designed to run on various platforms, Flowpilot requires a compatible machine (PC or Android phone), a panda device with a car harness, and a USB connection. The software supports over 200 car models from manufacturers like Honda, Toyota, Hyundai, and others, making it a versatile solution for many users.

3. For user data, Flowpilot logs various types of data like road-facing cameras, CAN, GPS, IMU, magnetometer, thermal sensors, crash data, and operating system logs. However, the driver-facing camera is logged only if you opt-in, and the microphone is not recorded, reflecting a conscious effort to balance functionality with privacy.

My second hand redmi note 9 pro running flowpilot is driving my alto k10 😂 Can it get more desi than this ? ~ Mansim

The AI That Listens and Creates Music 🎼

Currently, AI music generation systems often struggle with generating music that aligns well with given musical contexts, typically relying on abstract guidelines like text descriptions or predefined styles. The StemGen model presents a significant advancement from this problem. By “listening” to existing pieces of music, StemGen can generate new compositions that not only maintain the style and feel of the original context but also enhance it.

Key Highlights:

1. Unlike traditional models, StemGen excels in understanding and responding to the music it “listens” to. This capacity enables it to produce compositions that are coherent and compatible with existing musical pieces, mirroring the process of human musicians who progressively build and refine different elements of a track.

2. StemGen employs a transformer-based, non-autoregressive architecture, a departure from the norm in music generation AI. It integrates methods from advanced language models, offering improved sampling and structure. The model's training, conducted on a mix of open-source and proprietary music datasets, ensures its adaptability across various musical genres.

3. The concept of music being composed of different 'stems' (individual parts like instruments or synthesizers) is central to this model. StemGen generates and adjusts these stems in a way that complements the existing musical composition, offering a more nuanced and harmonically integrated approach to music generation.

Transforming Video Synthesis: Introducing Fairy 🎥✨

In the field of AI-driven video editing, maintaining consistency and coherence across frames has been a longstanding challenge, often resulting in time-consuming and resource-intensive processes. Addressing this issue, GenAI at Meta has introduced Fairy, a new video-to-video synthesis tool that uniquely blends advanced AI techniques to enhance video quality and speed, a stark improvement over previous technologies.

Key Highlights:

1. Fairy's innovation lies in its use of anchor-based cross-frame attention, a method that significantly enhances the video's appearance over time. This technique enables Fairy to create high-fidelity videos, outpacing existing models with a remarkable speed of generating 120-frame videos (512x384 resolution) in just 14 seconds, over 44x faster than previous methods.

2. Fairy stands out for its ability to maintain consistency across video frames. It achieves this by intelligently tracking and applying changes throughout the video, ensuring stable and coherent visual quality from start to finish.

3. A standout feature of Fairy is its ability to scale to longer video lengths without encountering memory issues. It can generate a 27-second video in approximately 72 seconds using 6 A100 GPUs. This scalability, coupled with its efficient use of resources, makes Fairy a practical solution for a wide range of video editing applications.

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Tools of the Trade ⚒️

1. NexusGPT: Create and fine-tune AI assistants tailored to specific needs, within minutes. These assistants can be integrated into platforms like Slack, Teams, and WhatsApp, and can be customized with your data. You can run these AI assistants on your own servers, and trade them on the platform.

2. AirLLM: Optimizes inference memory usage, allowing 70B LLMs to run inference on a single 4GB GPU card. No quantization, distillation, pruning or other model compression techniques that would result in degraded model performance are needed.

3. WhatOnEarth: AI-powered search engine that answers your specific questions along with web articles. It’s like your ChatGPT that can surf the internet but without the premium subscription.

4. Behavly: Enhance your website using AI-driven insights for better user engagement and conversion rates, with improved copywriting, visual design, and smart analysis. Behavly analyzes screenshots of your website, examining elements like text, layout, and design, and provides suggestions like altering promotional language to optimizing layout and design elements.

😍 Enjoying so far, TWEET NOW to share with your friends!

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Hot Takes 🔥

1. Tesla should strongly consider building consumer AI hardware before it’s too late to compete with Apple ~ Aravind Srinivas

2. Looking forward to open-source movies once AI video is good enough.
   Some sci-fi scene slightly off from what real physics would allow? Fork it! ~ Josh Bickett

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Meme of the Day 🤡

Source

That’s all for today!

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