In the last year, computers started acting strangely human.
Just like a young child, AI has incentives and learns from those around it.
However, OpenAIs CEO, Sam Altman, believes his artificial intelligence will one day render workers useless.
Photo: Carl Court (Getty Images)
Technology has always reflected the communities that built it, but none more so than artificial intelligence.
In other words, AI is too important for just Big Tech to build it.
In his words, open source Legos for the AI era.
Just like AI, humans are also susceptible to profit-seeking in lucrative environments.
Surman says we need to look at who controls AI, and who controls the data underneath it.
So we need a different model.
We need a model that puts control and ownership of decision-making in the hands of everybody.
The social media model Surman references was a privacy disaster for the tech industry.
We are seeing similar behavior in the marketplace today with GenAI, said Boettcher.
App stores are another example of what goes wrong when there is a lack of open-source models.
Now were seeing antitrust regulators venture to tear down these billion-dollar structures 15 years later.
With AI, 15 years may be too late.
The Aible CEO sees each country approaching AI with its own unique lens.
One of Reibmans products, an AI-enabled PDF reader, was knee-capped when OpenAI launched its own version.
Reibman, Boettcher, and Sengupta are all concerned about regulatory capture.
If Big Tech receives preferential treatment with AI, through regulatory capture, the result could be devastating.
Congressman Gottheimer sits on subcommittees that oversee capital markets and illicit finance, among others.
Microsoft declined to participate in Gizmodos story on AI regulation.
What next?
Dr. Ramayya Krishnan is a Carnegie Mellon Professor who advises the U.S. Department of Commerce on artificial intelligence.
Thats Google, OpenAI, Anthropic, Cohere, and Microsoft, said Krishnan calling out a few.
Thankfully, there are some efforts on this front.
We need to bring AI innovation down to the human scale.
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