🤯 OpenAI just SHOCKED the world!

Welcome, AI enthusiasts

What an incredible week in AI so far. While Wednesday’s newsletter was all about NVIDIA’s AI chat, OpenAI and Google took the headlines once again.

OpenAI introduces Sora, their Text-to-Video AI model which is able to generate videos up to 1 minute in length. Sora specializes in crafting detailed, photorealistic scenes that incorporate multiple characters, various types of motion, and a deep understanding of the physical world. This just changed everything. Google introduces Gemini 1.5 with mind-blowing capabilities, while Slack rolls out their AI enhancement for their software. Let’s dive in!

In today’s insights:

• OpenAI’s Text-to-Video Revolution

• Google’s Gemini 1.5 Unveiled

• Slack rolls out ‘Slack AI’

Read time: 5 minutes

🗞️ LATEST DEVELOPMENTS

OpenAI
🎞️ OpenAI’s Text-to-Video Revolution

Evolving AI: OpenAI is showing off its first generative AI model for video called Sora.

Key Points:

• Sora crafts videos from text, featuring realistic scenes.

• Handles complex settings, motions, and emotions.

• Access currently limited for testing and feedback.

Details:

This is it, this is the GPT-4 moment for AI video generation. OpenAI announced Sora, the company’s first text-to-video model. Sora can convert text prompts into videos that can last up to a minute. This model doesn't just generate any video; it stands out for the sharpness of their resolution, smoothness of motion, human anatomical and physical world accuracy, and most of all, run-time.

Sora is entering an intensely competitive space with existing rival startups Runway, Pika and Stability AI offering dedicated AI video generation models, as well as stalwarts such as Google showing of its Lumiere model capabilities.

Sora is right now just for "red teamers" checking it for possible issues and dangers. OpenAI is also letting some visual artists, designers, and filmmakers try it out to give their opinions. They mention that the model might not always get the physics of complicated scenes right or understand cause and effect correctly.

Our Thoughts:

Sora has some limits, like the difficulty in simulating complex physics and showing clear cause-and-effect situations. OpenAI is taking safety steps, like creating detection tools and adding important data for future products. Despite these challenges, this will transform the digital and entertainment industries as we know them. We will soon be possible to create very realistic and logical videos that make sense to our eyes, just by giving prompts. This change is starting to blur the lines between what we think of as real and not real. As more people gain access to this technology, it will be interesting to see how it changes the way we tell stories online, and how it will change the media and the world as we know it.

We're excited to share some amazing Sora examples with you that really impressed us.

GOOGLE
🚀 Google’s Launches Gemini 1.5 Pro

Evolving AI: After Google announced Gemini Ultra last week, they decided to also launch Gemini 1.5 Pro - their latest and wildest model they have ever made.

Key Points:

• Google introduces Gemini 1.5 Pro with major efficiency and performance upgrades

• A million-token context window marks a breakthrough in long-context understanding

• Early tests show promising results in maintaining performance with large context windows

• Limited preview available for developers and enterprise users through Vertex AI

Details:

Google's latest AI release, named Gemini 1.5 Pro, represents a significant advancement for the company and poses a challenge to OpenAI. This version can handle an enormous amount of information—up to a million pieces of data—enabling it to think and reason about complex topics like never before. You might be wondering, what does processing a million pieces of data look like? Well, it can process a 1-hour video, 11 hours of audio, more than 30,000 lines of code, and over 700,000 words. This groundbreaking ability demonstrates how much smarter and more efficient Gemini 1.5 Pro is compared to older versions and its competition. By introducing Gemini 1.5 Pro, Google signals its intention to maintain its leadership position in the AI race. Now, the significant question remains: how long will it take for these advanced long-context reasoning abilities to be integrated into Google's consumer products?

Why It Matters:

The introduction of Gemini 1.5 Pro by Google redefines the boundaries of AI capabilities, especially in processing and reasoning over extensive data. The potential for these advancements to trickle down to consumer products opens exciting possibilities for the future of AI in everyday applications. What’s even more astonishing is that, in their research, they have successfully tested this model with up to 10 million tokens, which is equivalent to about 7,500,000 words. To put that into perspective, that’s like reading the entire Harry Potter series... 7.5 times. 2024 is about to be wild everyone.

SLACK
🚀 Slack rolls out ‘Slack AI’

Evolving AI: Slack introduces AI to revolutionize your workday.

Key Points:

• Slack AI to transform workplace efficiency

• New AI features: search answers, channel recaps, thread summaries

• Built on secure, trusted Slack infrastructure

Details:

Slack AI aims to enhance your workday productivity with generative AI capabilities. With 47% of digital workers struggling to locate necessary information, Slack AI presents a solution through personalized search answers, channel recaps for key highlights, and thread summaries for quick updates on lengthy discussions. These tools are designed for ease, requiring no prior training and prioritizing your informational needs securely and intuitively. Slack's new AI features leverage the platform's extensive history and shared knowledge, potentially saving users an average of 97 minutes weekly by streamlining the search and comprehension of data and conversations.

Our Thoughts:

By prioritizing user data security and harnessing the platform's proprietary context, Slack AI sets a new standard for intelligent workplace tools. How will this reshape the future of team collaboration and project management? The potential for time savings and improved efficiency could redefine professional workflows.

💡 Tip of the Day

Meta introduced V-Jepa, a big step in advanced machine intelligence. Their model has a deeper understanding of world and excels at detecting and understanding interactinos between objects and will be used to teach machines by watching videos. Watch the video below for yourself, it’s mind-blowing.

🍎 Apple: What’s their Generative AI strategy?

😯 KYC: Fake IDs (generated by AI) are used to fool crypto exchanges.

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