Good morning. The AI Boom hit a bump in the road Tuesday. Shares of Nvidia fell 9% and shares of Wall Street’s broader chip index retreated some 7%.

Nvidia has now fallen around 13% since its good, but not good enough earnings report last week.

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

In today’s newsletter:

AI for Good: Europe’s planetary defense system

Next month, the European Space Agency’s (ESA) self-driving Hera spacecraft will begin its two-year journey to survey a nearby asteroid system. 

The details: Hera has been in development for several years now. The spacecraft will operate similarly to an autonomous vehicle, analyzing input from a variety of sensors to build and navigate a model of its surroundings. 

Why it matters: The ESA said that, once proven, the autonomous technology being tested by Hera can and will be applied to a variety of other missions, acting as the building block for “low-cost planetary probes into deep space.” 

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Clearview AI fined $33.7 million for ‘illegal’ practices

Clearview AI — a facial recognition platform that works with law enforcement and intelligence organizations — was fined $33.7 million by the Dutch Data Protection Authority (DPA) for illegal data collection. 

Going further: Wolfsen said that since Clearview breaks the law, it is therefore illegal to use its services. 

Context: The company’s been embroiled in controversy for years, recently settling a class action lawsuit that similarly took issue with its massive facial database. 

“Facial recognition is a highly intrusive technology, that you cannot simply unleash on anyone in the world,” Wolfsen said. “This is not a doom scenario from a scary film. Nor is it something that could only be done in China.”

Clearview’s response: In a statement, Clearview’s chief legal officer said that it doesn’t operate anywhere in the EU and so isn’t subject to the GDPR. He called the decision “unlawful, devoid of due process and unenforceable.”

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Study: The impacts of a lack of transparency in LLMs

Large language models (LLMs) are trained on increasingly massive datasets, diverse collections that get combined and recombined in model-specific shuffles. 

The origin of much of the data employed to train LLMs gets lost in the process, and according to a new study from MIT, the impacts of this are vast. 

The details: Ethically, unknown data sources are likely to contain, at the very least, biases, though the problem also poses legal concerns regarding copyright and licensing. 

So, what: The researchers then developed a Data Provenance Explorer tool that auto-generates summaries of datasets, focusing on creators, licenses and sources. 

“These types of tools can help regulators and practitioners make informed decisions about AI deployment, and further the responsible development of AI,” MIT Professor Alex Pentland, a co-author of the paper, said in a statement. 

Operation Retweet: Meet Venezuela’s AI journalists

Since July, the people of Venezuela have been exposed to two new news anchors online, known as ‘La Chama’ and ‘El Pana.’ The anchors have been reporting on the geopolitical goings-on of Venezuela following the presidential elections of July 28. 

They aren’t real. 

The details: The two anchors are Generative AI avatars, launched as a part of a new project — called Operation Retweet — by Colombia-based news organization Connectas. 

The landscape: “The use of Artificial Intelligence is not a fad,” according to Connectas. It is being “used as a tool to protect journalists from persecution and increasing repression after the elections.”

The project’s goal is to provide people with necessary, relevant information while protecting the journalists who would otherwise be visibly providing that information. 

Connectas director Carlos Huertas said that, with AI avatars, there’s no one to arrest. 

“We decided to use artificial intelligence to be the 'face' of the information we're publishing," Huertas told Reuters, "because our colleagues who are still out doing their jobs are facing much more risk." 

He called Connectas’ use of genAI a “mix between technology and journalism," saying that it’s needed to "circumvent persecution and increasing repression."

This is a great example both of the necessary intentionality required to employ generative AI, as well as the exceptional, rare instances where it can — and perhaps even should — be employed. 

The high stakes of its deployment aren’t lost on me, either. It was in the face of repression and arrests that Connectas tried to find another way, not to jump on a trend, not to trim its staff, but to do its job. 

This is very much not the same as the GenAI social media influencers you might see (as I do) pushed, every day, through Twitter’s wonderful (torturous) algorithm. 

🤔 Your thought process:

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💭 A poll before you go

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

We’ll see you in the next one.

Here’s your view on how AI should impact labor:

Around 40% of you said that it should only be allowed to be used in specific ways and in specific professions. Close to a third of you would like it to enable a four-day workweek.

20% of you said it should replace all labor, so long as we get a Universal Basic Income.

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