⚙️ Exclusive Interview: Deeplearning.ai cofounder on the importance of regulation for job creation

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Good Morning, and happy Monday. Last week, I chatted with Kian Katanforoosh, an award-winning computer scientist who has worked closely with Andrew Ng, a celebrated pioneer in the AI space. 

Katanforoosh’s great passion is teaching people about AI at a time when technological skill sets must be more rapidly evolving than ever before. Read on for the full story. 

In today’s newsletter: 

Jan Leike says AI safety wasn’t a priority at OpenAI

In the wake of OpenAI’s recent exodus of safety researchers, former Superalignment co-lead Jan Leike posted a viral thread explaining why he left: a growing disagreement with company leadership over OpenAI’s core priorities. 

OpenAI later dissolved its Superalignment team entirely. Reports, meanwhile, of a culture of broken trust regarding safety efforts at OpenAI have proliferated, with former employees too afraid to share their names due to a non-disparagement agreement (tied to their equity) that Sam Altman claimed he knew nothing about.

The FTC has a few questions about AI

The Federal Trade Commission’s Office of Technology (OT) last week highlighted eight “questions of interest” regarding AI. The OT’s goal at this time is to simply learn more about these specific areas:

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Colorado enacts first piece of U.S. AI legislation

Colorado Gov. Jared Polis on Friday signed the Consumer Protections for AI bill into law. This marks the introduction of the first piece of comprehensive U.S. AI legislation. It won’t enter into force until February 2026. 

The bill is specifically focused on preventing discrimination, and targets developers of high-risk systems, which it defines as any system involved in making “consequential decisions.” 

Key Points: 

The Colorado Tech Association is (not surprisingly) unhappy with the legislation. Polis isn’t thrilled with it either; he signed “with reservations,” and noted concern about how it might impact the tech industry. 

The Future of Privacy Forum, meanwhile, called it a “watershed moment.” 

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Deeplearning.ai cofounder on the importance of regulation for job creation 

Kian Katanforoosh – who co-created Stanford’s deep learning class before co-founding deeplearning.ai (all alongside renowned computer scientist Andrew Ng) – has one big concern when it comes to AI: that the workforce will get left behind. 

I had asked him what his single greatest AI-related concern is; his answer —without hesitation — had nothing to do with unfounded fears of a singularity, or of active AI-related harms. Instead, his concern is “that the gap between the techies and the rest is going to keep growing.”

But he remains excited by the fact that companies outside of the tech space haven’t given up efforts to upskill and train their workers. This, he said, is the “right way to go.” 

A key element of this sweeping upskilling effort that Katanforoosh believes is so important involves smart regulation, something that he said could act as an “incredible vehicle of job creation.” (Other experts in the field, including Dr. Suresh Venkatasubramanian, have told me similar things about regulation and job creation). 

Citing Europe’s GDPR regulation, which is estimated to have created around 500,000 jobs, Katanforoosh said that regulation forces companies to think longer term, which is a huge win for the workforce. 

And when such regulation does (hopefully) come around, Katanforoosh hopes that it will additionally address growing monopolies in the sector, something he is already seeing (& something the FTC is curious about, as I mentioned above). 

Katanforoosh sees the AI market as consisting of three layers: infrastructure, foundation model and application. The first two layers, he said, are already dominated by a few companies; Nvidia and the cloud providers in the first and Big Tech in the second. 

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