AI video is taking off

This week's biggest AI news

Happy Friday! Here’s a fun AI story to kick off your weekend: Spanish modeling agency The Clueless created their very own AI influencer, Aitana López…and her modeling gigs are raking in $11,000 each month. Is this the future of influencing?

P.S. I want to include more of what you want in Future Tools! Tell me your thoughts here.

AI Video’s ChatGPT Moment?

Source: Pika Labs

This Wednesday, Pika Labs unveiled its impressive new AI video platform Pika 1.0—and many in the AI space are calling it “AI video’s ChatGPT moment.”

ChatGPT completely changed the way we create text…and Pika 1.0 is expected to do the same with video creation. Here’s why: 

  • Pika 1.0 generates videos across a wide range of styles—including 3D animation, anime, and live-action content—from simple text prompts.

  • It can seamlessly convert photos to videos (like bringing a meme to life) or transform videos into different styles (like “live action” to “cartoon”).

  • Users can edit content elements (like changing a character’s clothing), camera angles, and movements using simple text prompts.

  • Pika 1.0 can extend video lengths by predicting content beyond the original video.

Pika Labs’ first version is already used by over half a million people on Discord—and users are seriously loyal, spending up to 10 hours a day on the platform. Now, Pika 1.0 will be available on an easy-to-use web interface…and the waitlist is already growing. 

Moving forward: At the current pace of development, it’s only a matter of time until we have full text-to-movie tools. Soon, anyone with an idea will be able to create a high-quality film.

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AI’s Material Science Breakthrough

Source: Google DeepMind

Google DeepMind researchers developed a new AI tool that revolutionizes material science—and it could have massive implications across industries from renewable energy to computing.

The details: The tool, Graph Networks for Materials Exploration (GNoME), predicted the structures of over 2.2 million new materials—381,000 of which are predicted to be stable.

Here’s why that matters: 

  • Stable materials are substances or compounds that maintain their structural properties over time—and they’re incredibly important in the production of everything from solar panels to computer chips.

  • The DeepMind team said the model’s findings are the equivalent of nearly 800 years’ worth of knowledge—AKA this tool has the potential to seriously supercharge material development.

If you’re curious how GNoME works, check out Google DeepMind’s paper published in Nature

Big picture: GNoME is significantly accelerating materials discovery, demonstrating AI’s potential to completely transform research. AI’s next challenge? Actually synthesizing materials to bring them to market. And I have a feeling that’s not so far away…

Amazon Is Joining the AI Race

Amazon dropped some major AI announcements at its re:Invent conference this week. Let’s dig into two heavy hitters, both available to AWS customers:

1) Titan is Amazon’s new text-to-image model, specifically made for businesses:

  • Unlike other AI image generators, Titan doesn’t have its own website or app; it’s a tool for developers and businesses to integrate into their own platforms.

  • Images generated with Titan will automatically include invisible watermarks. According to AWS, the watermarks “will not interfere with the visual, have no latency, and cannot be cropped out.”

2) Amazon Q is a chatbot and productivity assistant for businesses:

  • Amazon Q can be connected to business software tools like Slack, Salesforce, and Microsoft 365, so users can ask questions about their company’s private data.

  • Unlike ChatGPT, which only runs on GPT-4, Amazon Q isn’t restricted to a specific foundation model. Because it runs on AWS’ repository of AI models (including Meta’s Llama 2 and Anthropic’s Claude 2), companies can choose which model works best for them.

Zoom out: Amazon has been racing to catch up with its Big Tech competitors in AI. Its launch of Amazon Q follows Microsoft’s Copilot and Google’s Duet AI. Meanwhile, Titan’s watermarking feature follows similar efforts from Google and Adobe to label AI-generated images.

Bonus Story:

LLMs just got way better at logical reasoning. Meta researchers unlocked a groundbreaking training technique called S2A. If you’re an AI builder—or just interested in the backend of LLMs—you should check out this paper.

  • 18 countries signed the first coordinated international deal that outlines safe AI development principles. 

  • Inflection AI claims its new AI model is the second-most powerful AI behind GPT-4.

  • Amazon is using AI to improve the holiday experience. 

  • Sports Illustrated is under fire for publishing AI-generated articles under fake author personas. 

  • ElevenLabs launched a grant program for AI startups and solopreneurs to put AI voice synthesis to work. 

DIY: Turns out making high-quality movie trailers using AI is easy (and pretty fun). Here’s my step-by-step tutorial:

Deep dive: Want to understand how large language models actually work? Here’s a comprehensive introduction to LLMs:

And there you have it! There’s been a ton of AI news lately, and I always want to share the news that you find most interesting. If you have 5 minutes to take this survey, I’d love to hear your thoughts and feedback!

Catch you on Wednesday. :)

—Matt (

P.S. This newsletter is 100% written by a human. Okay, maybe 96%.