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- 🚀 A new FREE Sora competitor
🚀 A new FREE Sora competitor
Also: Amazon's $230M Commitment to AI Startups
Welcome, AI enthusiasts
Last week, China released a Sora-like AI video model called Kling, and now the US is back in the race. Luma AI has introduced Dream Machine, a video AI model that is already showing a lot of promise and is available for use! Amazon has pledged $230 million to support generative AI startups, fueling innovation and pushing the boundaries of what's possible. In other news, Harvard and Google's DeepMind have unveiled a virtual rat with an AI brain, designed to replicate the neural activity and movements of real rats. Let’s dive in!
In today’s insights:
Luma AI unveils Dream Machine, a free text-to-video model to rival Sora and Kling
Amazon's $230M Commitment to AI Startups
Virtual Rat Brings Brain Research to Life
Read time: 5 minutes
🗞️ LATEST DEVELOPMENTS
Introducing Dream Machine - a next generation video model for creating high quality, realistic shots from text instructions and images using AI. It’s available to everyone today! Try for free here lumalabs.ai/dream-machine#LumaDreamMachine
— Luma AI (@LumaLabsAI)
4:01 PM • Jun 12, 2024
Evolving AI: A new contender in text-to-video AI, Dream Machine, offers public access and 120fps video generation.
Key Points:
US-based Luma AI has unveiled Dream Machine, a free tool that generates videos from text.
Unlike its competitors, Sora and Kling, Dream Machine is publicly accessible in the west.
It promises high-quality, realistic video outputs at a stunning 120fps.
Details:
Dream Machine by Luma AI, a U.S.-based startup focused on visual AI, is making waves by offering a free text-to-video model that rivals established names like Sora and Kling. This tool is not only publicly accessible but also boasts of generating high-quality, realistic videos from natural language prompts. Dream Machine is praised for its ability to understand complex interactions in the physical world, which enhances its video output with consistent character dynamics and accurate physics. It promises an endless array of cinematic motions, pushing the boundaries of AI-driven video generation.
Our Thoughts:
Finally, a next-level AI video model, Dream Machine, has been released and is publicly available. This release is likely to prompt other developers to open up their models, potentially democratizing video creation. There are still limitations in terms of consistency, motion, text display, and errors such as double heads. Luma Labs plans to develop the generator further and offers it as the first in a series of "Frontier Generative Models" that allow users to generate new content from different inputs.
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Evolving AI: Amazon commits $230 million to boost generative AI startups, positioning AWS as the go-to cloud for AI innovation.
Key Points:
Amazon allocates $230M to generative AI startups.
$80M will support the AWS Generative AI Accelerator program.
Startups gain access to Nvidia's expertise and resources.
Details:
Amazon plans to invest $230 million in startups developing generative AI applications. Around $80 million will fund Amazon’s AWS Generative AI Accelerator program, offering AWS infrastructure credits. Startups in the accelerator program will benefit from Nvidia’s expertise and resources through the Nvidia Inception program. This year’s cohort will receive significantly more support compared to last year’s, reflecting Amazon's increased focus on AI innovation. Amazon aims to help startups launch and scale, impacting various facets of learning, connecting, and business operations. Despite its ambitious investments, Amazon faces stiff competition and internal challenges in the generative AI space.
Our Thoughts:
Amazon’s substantial investment signals a strategic push to catch up in the competitive generative AI arena. By partnering with Nvidia, Amazon not only strengthens its cloud infrastructure offering but also empowers startups with critical resources. This move could catalyze significant advancements in AI applications, benefiting the broader tech ecosystem. However, overcoming internal setbacks and regulatory scrutiny will be crucial for Amazon to maintain momentum and achieve its AI ambitions.
GOOGLE & HARVARD
🐀 Virtual Rat Brings Brain Research to Life
With @Harvard, we built a ‘virtual rodent’ powered by AI to help us better understand how the brain controls movement. 🧠
With deep RL, it learned to operate a biomechanically accurate rat model - allowing us to compare real & virtual neural activity. → dpmd.ai/3RobU7e
— Google DeepMind (@GoogleDeepMind)
11:10 AM • Jun 13, 2024
Evolving AI: Harvard and Google collaborate to create a virtual rat with an AI brain, advancing our understanding of neural control over movement.
Key Points:
Collaboration with Google's DeepMind to develop an AI-powered virtual rat model.
The AI model accurately simulates neural activity and behavior of real rats.
Overcoming challenges in replicating animal motion and physics in virtual environments.
Details:
Harvard and Google's DeepMind have partnered to create a virtual rat with an AI brain. This model mimics real rats' neural activity and movements. The project faces hardware challenges in replicating the flexibility and efficiency of animal bodies and software challenges in developing accurate physics simulations and machine learning pipelines. The researchers utilized MuJoCo, a physics simulator, and a new training pipeline called MIMIC. This method trains the AI to mirror rat behaviors, providing insights into neural activity patterns. This breakthrough could revolutionize motor neuroscience and disease research by allowing virtual models to investigate neural circuits.
Why It Matters:
AI-powered models like this can transform our understanding of brain functions and movement, offering unprecedented opportunities for studying neurological diseases and developing advanced robotic systems. The precise simulation of neural activity bridges the gap between virtual and real-world applications, opening doors for future innovations.
💡 Tip of the day
If you’ve ever wanted to experiment with a cutting-edge AI video tool but didn't know how to get your idea off the ground, Dream Machine by Luma AI has just made that accessible to you. Their model is free to use, so sign up and have some fun with it. Here are two tips from us:
Their servers are heavily utilized, so please be patient with your video generation.
Both text-to-video and image-to-video options are available, but you’ll find that image-to-video offers the best consistency and output quality.
Here’s how to start creating AI videos:
Sign up for free.
Experiment with the model using either text-to-video or image-to-video.
🔎 AI in Research
Researchers from Microsoft, Google, MIT, and Oxford have unveiled a groundbreaking AI algorithm called DenseAV. This innovative technology learns the meaning of words and sounds by watching videos, offering a tool for decoding animal communication and uncovering new aspects of human language. DenseAV promises to open up exciting possibilities in understanding the intricate ways in which different species communicate.
DenseAV is an algorithm capable of discovering the meaning of language and locations of sounds just by watching unlabeled videos. DenseAV is completely unsupervised and never sees text during its training. Learn more: msft.it/6011Ytyo1
— Microsoft Research (@MSFTResearch)
5:38 PM • Jun 11, 2024
🎯 SNAPSHOTS
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