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“AI Could Kill Us All by 2030?” - Silicon Valley Sounds the Alarm 

At a Glance

  • Former Anthropic and OpenAI staffer Jacob Coxon says AI labs are “racing toward super-intelligent AI”

  • His X posts drew more than 100 million views

  • One Anthropic researcher sees a greater than 10% chance AI could eliminate humanity within a decade

  • More than 1,000 AI workers signed a petition to slow development in July

  • OpenAI and Anthropic are nearing potential Wall Street debuts

AI safety fears are spilling out of Silicon Valley as companies push toward a new “AGI era.”

The latest warning came from Jacob Coxon, a former Anthropic and OpenAI staffer, who quit and accused the companies of “gambling with our lives” as they race toward super-intelligent AI.

Key Details

Coxon said people building AI believe it could “kill us all by the end of the decade.” His posts have since attracted more than 100 million views on X, drawing reactions from lawmakers, celebrities and AI workers.

One Anthropic researcher said he believes there is a greater than 10% chance AI eliminates all humans within the next decade.

The warnings come as OpenAI and Nvidia executives promote the start of a new “AGI era”, referring to artificial general intelligence capable of matching or exceeding humans across most tasks.

AI safety researcher and OpenAI nonprofit board member Paul Christiano said rapid advances could create a “meaningful risk” of catastrophic and irreversible loss of control.

In July, more than 1,000 AI workers signed a petition calling for a mechanism to slow development. Several safety researchers have also resigned from major labs.

Why It Matters

The debate could intensify as Anthropic and OpenAI approach potential Wall Street debuts, bringing more capital and potentially more pressure to commercialize AI faster.

With limited federal regulation, slowing the race would require rival AI companies to coordinate. Recent incidents involving AI agents breaching containment have added to concerns about what increasingly capable systems could do.

What to Watch

Pressure from AI workers, investors, and lawmakers could shape how quickly the industry moves toward more powerful models, and how much oversight comes with them.

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Source: Yahoo Finance

Time: 2:00 PM EEST