🪪 OpenAI's licensing blitz

PLUS: Amazon is all about AI

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Happy Friday, fellow humans 👋

OpenAI continues to license as much data as android-ly possible, Google DeepMind just created an AI that can learn how to beat any game, and Amazon is making it easier for sellers to create custom product pages on the platform.

A packed slate today - let’s dive into it!

Have anything you’d like to share with over 40k AI enthusiasts?

🧵 In today's edition:

  • 🪪 OpenAI's licensing blitz

  • 🕹️ The AI agent that can play any game

  • 📦️ Amazon is all about AI

  • 🎙️ New episode ft. Shaun Modi, Co-founder and CEO at Capitol AI

  • 🤑 AI Fundraising News

  • 🗞️ AI Quick-Bytes

  • 🐦 Tweet Post of the Day

While locked in a legal battle with The New York Times, OpenAI is wasting no time securing deals with other major publishers like Le Monde and Prisa Media in France and Spain. 

The goal? To feed their model with a constant stream of news and current events data to keep its knowledge fresh and users engaged.

But these licensing agreements, potentially worth millions each year, have some in the AI community worried. 

Why? With deep pockets from investors like Microsoft, OpenAI can shower cash on content owners in ways startups and academics can only dream of, raising concerns about creating an unfair playing field and high barriers to entry.

So, is there a potential solution?

  • Some propose a "safe harbor," allowing unrestricted access to data for AI research and development, so long as it’s transparent and ethical.

  • However, with news publications already reeling from Google and Facebook's dominance, can they afford to have their content freely repurposed? 

What do you think?

Should LLM companies be allowed to use text from publishers to train their models?

Login or Subscribe to participate in polls.

Read more: Techcrunch

Google's DeepMind has taken AI gaming to a whole new level with SIMA - the Scalable Instructable Multiworld Agent. 

This generalist AI can follow natural language instructions to complete tasks in various 3D video games, from cosmic exploration in No Man's Sky to chaotic destruction in Teardown.

Here’s the TL;DR: 

  • Unlike previous game-specific AIs, SIMA doesn't need special coding instructions for each game.

  • The agent takes visual inputs from the screen and language commands and uses human-friendly controls (mouse and keyboard) to act in the virtual environment. 

  • After training SIMA across nine different games, it was able to generalize its skills to excel in entirely new games that it had never seen before. 

  • The more gamified training data SIMA received, the more versatile it became at mapping language instructions to coordinated actions.

While SIMA currently handles basic tasks like navigation and simple object interactions, DeepMind's goal is to advance it towards higher reasoning and multi-step complex missions using cutting-edge language models.

Simply put, we might be entering a time when AI can understand our world and then act within it.

Absolutely wild 🤯 

Amazon now allows sellers to generate complete product pages with just a URL using AI.

How does it work? 

  • Machine learning models will automatically parse the content and images on a website to craft a "high-quality" Amazon product listing tailored for its marketplace.

  • This tool will "save sellers time and effort" while ensuring listings appeal to shoppers and drive sales. 

This tool is a win-win: 

  • For brands, this tool could be a game-changer for efficient multi-channel selling. 

  • It also continues to give Amazon an advantage in the AI race happening across retail as companies rush to leverage genAI.

  • Plus, it adds to Amazon’s current genAI suite, which includes chatbots and automated product summaries.

Read more: Mashable

AI: Balancing Risk and Return

Innovative technologies are revolutionizing business as we know it, and they’re more accessible than ever. But to truly harness the transformative potential of AI, you need to know how and when to use it. And which pitfalls to avoid.

The six-week Artificial Intelligence: Implications for Business Strategy online short course from MIT Sloan School of Management and MIT Computer Science and Artificial Intelligence Laboratory explores AI’s business applications and challenges. 

Choose this program to:

  • Optimize your business: Leverage AI, ML, and robotics to drive efficiencies, improve productivity, and support your growth.

  • Develop a strategic roadmap: Apply your knowledge to effectively integrate AI into your business.

  • Gain a dual perspective: Benefit from a course designed by two prestigious schools — the MIT Sloan School of Management and the MIT CSAIL.

  • Conveniently build career-critical skills: Follow a program that fits your schedule and benefit from 24/7 support and various payment options.

🎙️ New episode ft. Shaun Modi, Co-founder and CEO at Capitol AI

Hey team! ICYMI, we had the pleasure of hosting Shaun Modi, Co-founder and CEO of Capitol AI, on the pod this week.

Catch the episode on YouTube, Spotify, or Apple Podcasts today.

🤑 AI Fundraising News

  • Mindfuel raises €3.75M/$4M in Seed funding to build “Delight,” an AI-driven portfolio management tool that provides data teams with an overview of all their data products and supports strategic prioritization and governance.

  • Unstructured raises $40M in Series B funding to make raw data LLM-ready.

🗞️ AI Quick-Bytes

What else is going on?

🐦 Tweet Post of the Day

Here are some new Sora videos for you to feast your eyes on 😍 

What did you think of today's newsletter?

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And that does it for today's issue.

As always, thanks for reading. Have a great day, and see you next time! ✌️

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