Good morning. It’s finally happened. OpenAI has secured nearly $7 billion in new funding at a post-money valuation of $157 billion (it was last valued at $86 billion).

The ChatGPT startup is now one of the largest private companies — by valuation, but certainly not by revenue — in the country.

We’ve got the details below.

— Ian Krietzberg, Editor-in-Chief, The Deep View

In today’s newsletter:

MBZUAI 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. 

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.  

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OpenAI now valued at $157 billion

After weeks of rumors, OpenAI said Wednesday that it has successfully closed a $6.6 billion funding round. The company said that it is now valued at $157 billion. 

The details: While OpenAI didn’t disclose the names of the investors who participated in this latest round, CNBC reported that the round included participation from Thrive Capital, Softbank, Nvidia and Microsoft. Thrive reportedly committed $1 billion.

This — which makes OpenAI one of the most valuable privately-held companies in the country — comes despite OpenAI’s lack of profitability; the company, according to CNBC, earned $300 million in revenue last month, but expects to lose $5 billion this year. 

It also comes amid the departure of more key executives, namely including former CTO Mira Murati, and internal considerations to restructure the company into a for-profit enterprise. 

Axios reported that, if OpenAI doesn’t restructure into a for-profit within the next two years, investors can ask for their money back.

German court dismisses copyright lawsuit

German photographer Robert Kneschke discovered last year that “heaps” of his images had been used — without his consent, knowledge or compensation — to train generative AI models through the LAION-5B dataset, which is owned by the Large-scale Artificial Intelligence Open Network (LAION) non-profit and contains some 5.8 billion images. 

Kneschke first asked LAION — whose datasets have been used for training by companies including Stability AI — to remove his images from the dataset. When they refused (and charged him nearly $1,000 for making the request), he filed suit against them. 

What happened: The Hamburg Regional Court recently dismissed the case. 

The legal firm representing Kneschke said in response that “the court assumed that the defendant was engaged in research,” adding that this “alleged research has not yet been proven in the slightest.” 

“The court sets the bar for this copyright barrier very low,” they wrote. “As a result, this would mean that it would be irrelevant who subsequently uses the created training data (commercially and non-commercially) as long as the copyright-relevant act of reproduction is carried out in advance by an association such as the defendant.”

Kneschke said that he is considering appealing the decision.

It remains to be seen whether this case will actually establish any precedent regarding global copyright law. Dissimilar to the other ongoing class-action cases faced by OpenAI, Stability and the like, the dismissal of this case dealt not with the copyright technicalities of training an AI model, instead focusing on research exceptions. 

If it holds up after appeal, it still doesn’t answer the question of whether training constitutes copyright infringement, and it doesn’t answer the question of whether for-profit corporations have access to those same exceptions. 

“I don’t love the decision but I don’t see it as justifying commercial use,” cognitive scientist Gary Marcus said. 

I think the case might have gone differently if Kneschke had sued Stability instead of LAION. 

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💭 A poll before you go

Thanks for reading today’s edition of The Deep View!

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