POLICY

AI regulation keeps getting trickier

The AI regulatory landscape is getting stickier by the day. 

The Trump Administration is reportedly considering an executive order that would preempt state laws seeking to govern AI, using lawsuits and withholding federal funding to do so, according to reports from multiple media outlets on Wednesday. 

The order, which a White House official told Reuters was speculation until officially announced, would give Attorney General Pam Bondi the task of creating an “AI Litigation Task Force” focused solely on challenging state AI laws. 

The order would also task the Department of Commerce to issue guidelines that would choke funding to those states, and calls on FCC chairman Brendan Carr and White House AI czar David Sacks to determine whether to adopt federal legislation related to AI disclosures that “preempts conflicting state laws” 

• The order comes as more states seek to regulate AI. The document specifically called out California’s SB 53, which established safety and transparency requirements for AI model developers, as “a complex and burdensome disclosure and reporting law.” 

• It’s not the only sign that some Republicans are seeking to limit state AI regulation, as House Republican leaders push to add provisions to the National Defense Authorization Act that would preempt state laws. 

While the leaked executive order throws yet another bomb in the country’s legal AI battleground, it's too early to say what impacts it may have on policies, let alone companies themselves, Cobun Zweifel-Keegan, managing director of the International Association of Privacy Professionals DC, told The Deep View. Given how that model companies tend to have an international presence, state and federal compliance is “only one piece of this puzzle.”

“How strong an impact any such effort will have depends on how the Administration navigates a lot of tumultuous legal terrain,” said Zweifel-Keegan. “Overall, this is a battle between federal and state powers.” 

However, the order only adds to the growing uncertainty of the current AI regulatory landscape, and not just in the US, Andrew Gamino-Cheong, CTO and cofounder of AI governance platform Trustible, told The Deep View. 

The European Commission revealed plans this week to scale back the General Data Protection Regulation and water down the EU AI Act, its watershed privacy and AI laws. These moves signal“that there will be continued deregulatory efforts, at least in the 'western' world,” Gamino-Cheong said.

As the fight over how to regulate these AI firms wages on, these models become more powerful. Regulation that seeks to safeguard users from the risks of popular models may not be effective in keeping up with new risks emerging as the technology improves. Though these companies can, and to some extent do, self-regulate, there is little incentive for them to do so meaningfully if it keeps them from their goal: Creating models that are bigger, better and more capable than their competitors. 

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BIG TECH

Is Nvidia an AI bubble indicator?

Water is wet, the sky is blue and Nvidia continues to rake in billions. 

The AI chip kingpin once again delivered eye-popping earnings results this week, beating analysts’ expectations with $57 billion in revenue for the previous quarter and forecasting $65 billion in sales for the current quarter, largely attributed to data center sales. 

The earnings seemed to momentarily calm fears regarding a looming AI bubble. CEO Jensen Huang said in the company’s earnings call: “There's been a lot of talk about an AI bubble. From our vantage point, we see something very different.” 

• Nvidia’s growth over the past three years has been astronomical. The company’s revenue this past quarter is seven times what it was in the same quarter of 2022, and its profit has grown more than eightfold in that time period. 

• “When will the AI boom end is a question investors have been very worried about lately, but this shows we aren’t anywhere close to that,” Ryan Detrick, Chief Market Strategist at Carson Group, told The Deep View.  

But Nvidia’s success might not be the singular bellwether for the state of the AI market, Roman Eloshvili, Founder of XData Group, told The Deep View. Nvidia is simply the biggest beneficiary from the growing hype, he said. The popularity of its GPUs doesn’t make it a “thermometer,” but rather “the shopkeeper selling the hottest merchandise.” And even if Nvidia is investing in the market, much of that may be going back into its own pocket via circular financing.

The determining factor of a bubble might not be Nvidia’s boom, said Eloshvili. It’s the disconnect between how much money is going into AI infrastructure and how much “real, repeatable business value” is being derived. 

“I think that Nvidia isn’t the one causing that tension - it’s just collecting tolls on a road everyone’s rushing down,” Eloshvili said.

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PRODUCTS

Google tracks its own deepfakes

Google might be trying to curb its slop.

Starting Thursday, the Gemini app now tells users whether a photo was created or edited by a Google AI tool when asked the question “Is this AI-generated?” or “Was this created with Google AI?" The tool is currently limited to images, but will soon be extended to video and audio, and will be available in Search at a later date. 

As of now, this identification tool only works against SynthID, Google’s digital watermarking tech that embeds “imperceptible signals” into AI-generated content. After SynthID was introduced in 2023, more than 20 billion AI-generated pieces of content have been watermarked. 

Google is also working on verification for Coalition for Content Provenance and Authenticity (C2PA) credentials. This will allow it to detect when content has been generated by other AI tools, such as OpenAI’s Sora or Midjourney.

“Now, as generative media becomes increasingly prevalent and high-fidelity, we are deploying tools to help you more easily determine whether the content you're interacting with was created or edited using AI,” Google said in the announcement.

Generative AI is getting better at creating content that seems realistically human. On Thursday, Google released Nano Banana Pro, its new image generation tool with improved image resolution and text rendering, adding to the growing fray of capable generative models. 

And more often than not, people can’t tell the difference between real and fake. And the consequences can be drastic: 

• Deepfake audio and video cybercrime has escalated in the past year, with fraud losses reaching more than $200 million in the first quarter of this year alone. 

• AI-generated evidence is increasingly appearing in court, causing judges to question how much they can trust it. 

But Google’s approach to solving this problem should only be one of many, Ben Colman, CEO of Reality Defender, told The Deep View.  “This solution, combined with other non-provenance models, creates a ‘Swiss cheese’ approach, where if one method does not stop/catch a deepfake, the other will,” he said.

LINKS

• Prediction market Kalshi reportedly raises $1 billion at $11 billion valuation

• Sam Altman expresses concerns about “economic headwinds” 

• Major record labels partner with streaming service Klay on AI tools

• Verizon to lay off 13,000 employees, its largest layoff yet

• AI academic research platform alphaXiv raised $7 million in seed funding

• Warner Music Group partners with Stability to develop AI music tools

• Robotics startup Physical Intelligence raised $600 million at $5.6 billion valuation

• Saudi Arabia adopts Grok at scale, the first country to do so

• Olmo 3: An open language model suite for reasoning, chat and tool use, by Ai2.

• Bluma: A Canva-like tool for short-form video ads, automating your entire consumer marketing strategy. 

• Simbie AI: A voice agent for small and medium business medical practices to answer and return calls, and handle clinical tasks.   

• Talo: A real-time AI translator for video calls, events and streaming. 

• Guideflow: an AI-powered demo automation platform to immediately turn products into demos, sandboxes and live environments.

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