$157 Billion

Welcome, innovators.

Every day, there’s a new AI story that makes you truly wonder about its future potential. Today’s no different.

OpenAI has completed a $6.6 billion fund-raising deal that more than doubles the company’s valuation.

Keep reading to learn more…

  • Today’s must-read stories 📰

  • OpenAI valued at $157 billion

  • Prompt of the day ✍️

MBZUAI Research Corner 🔬 

BZUAI Research: Themes, fables and natural language processing

One of the significant limitations of large language models (LLMs) is that, though they might be referred to as artificial intelligence, the systems themselves aren’t intelligent. The architecture performs predictive text generation at scale, meaning that reading comprehension and context-based inference remain out of reach. 

Recent research from the Mohamed Bin Zayed University of Artificial Intelligence aims to figure out just how far out of reach it is. 

The details: Researchers created a dataset — called EduStory — designed to test interpretative and inferential comprehension in language models. The dataset is loaded up with “educational” stories, like fables, which have a very clear theme or lesson. 

  • The researchers explored four key areas: theme keyword identification, story-theme matching, reading comprehension and theme generation. The models performed poorly in matching pre-defined theme keywords to specific aspects of the stories, something the researchers said is likely due to a lack of relevant training data. 

  • Fine-tuned language models performed well in the other three categories. 

Models remain limited to the quality and scale of their training data. 

This work represents the first dataset specifically designed to evaluate theme interpretability in language models, something that the researchers said will support future work on this “challenging and significant” task. 

To learn more about MBZUAI’s research visit their website.  

Today’s must-read stories 📰 

Pallet, backed by an $18 million Series A led by Bain Capital Ventures, has developed an AI-powered transportation and warehouse management system to modernize the outdated logistics industry.

Vera AI Inc. has launched its AI Gateway platform, designed to help organizations safely implement AI with customizable guardrails and model routing.

Google is developing AI software that mimics human reasoning, similar to OpenAI's approach, using a technique called chain-of-thought prompting to solve complex multi-step problems.

Video of the Day 📽️ 

Miscellaneous resources

  • Allie K. Miller: The #1 most followed voice in AI business. 

  • Matt Shumer: AI CEO who makes “AIs do the impossible.” 

  • Logan Kilpatrick: Lead Product for Google AI Studio, focusing on the Gemini API and AGI.

  • DigitalGenius is the AI Concierge used by Reebok, Olipop, Honeylove, and AllSaints to keep customers happy by fully resolving queries in seconds, at any time and in any channel. Speak to us today to be fully ready for peak.*

  • Boost your software development skills with generative AI. Learn to write code faster, improve quality, and join 77% of learners who have reported career benefits including new skills, increased pay, and new job opportunities. Perfect for developers at all levels. Enroll now.*

AI tools 🔨 

Together with Elflabs

The Biggest Disruption to IP Since Disney

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With over 100 historic trademark victories, Elf Labs owns rights to some of the highest-grossing characters in history, including Cinderella, Snow White, Little Mermaid, and more. These icons have generated tens of billions in merchandise revenue alone, since their inception.

Now, Elf Labs is revolutionizing these characters with patented next-gen technology, including AR, VR and advanced compression algorithms for an unprecedented level of immersion. From virtual reality — without headsets — to AI-powered talking toys, this may be the biggest disruption to IP since Disney.

Become an Elf Labs shareholder now. But hurry, the round is almost full & closing this month!

OpenAI valued at $157 billion

OpenAI announced it has completed a $6.6 billion fund-raising round, roughly doubling its valuation to $157 billion. Led by Thrive Capital, the funding underscores continued enthusiasm in the AI sector despite concerns over competition and costs.

Key takeaways

  • The new funding round values OpenAI at $157 billion, with Thrive Capital, Microsoft, Nvidia, SoftBank, and MGX participating.

  • OpenAI led the AI boom with ChatGPT, and this funding reflects ongoing excitement for AI despite a slowdown in start-up investments.

  • The company expects $3.7 billion in revenue for 2024 but is facing significant losses of around $5 billion due to high operational costs.

  • Thrive Capital invested $1.3 billion, with an option to invest $1 billion more at the same valuation through 2025, while other investors lack this option.

  • OpenAI has rapidly grown to about 1,700 employees, adding over 1,000 in the past nine months.

Our thoughts

OpenAI’s massive valuation boost and continued funding show that the AI hype remains unshaken, despite broader market hesitations. However, steep losses indicate that sustainable growth will require a careful balance between innovation and managing operational costs.

Prompt of the day ✍️ 

Outside sales representative (create a sales budget document)

How it works:

This prompt guides the user to create a sales budget document by drawing on reference materials, interacting with the user to clarify details, refining the document iteratively with evaluations, and following specific rules for quality control and revisions.

Why use it:

An outside sales rep would use this prompt to create a sales budget document that effectively plans and tracks sales targets, aligns with company goals, and facilitates informed decision-making through continuous refinement and evaluation.

Prompt Example:

{"prompt":"Develop a tailored Sales Budget Document aligned with the user's individual needs, drawing insights from the supplied reference materials. Initiate interaction with the user to obtain essential specifics and resolve any ambiguities. Iteratively refine the Sales Budget Document through consistent evaluations using the given evaluationRubric and gather user input to ensure the end product aligns with the users expectations.}

You can find the prompt in its entirety here.
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