Congress Should Investigate AI Labs, Cal Newport Argues
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Congress Should Investigate AI Labs, Cal Newport Argues

3 min
9/29/2026
AI regulationOpenAIAnthropicCal Newport

The Case for a Congressional Inquiry

Cal Newport, a Georgetown University computer science professor and author, has ignited a crucial debate with his latest op-ed in The New York Times. He argues that frontier AI labs OpenAI and Anthropic have engaged in a coordinated messaging campaign that demands scrutiny. The campaign, he suggests, is designed to frame their technology as both terrifyingly powerful and existentially dangerous, while simultaneously lobbying against meaningful regulation.

Newport's central claim is that these labs are acting in increasingly erratic and brazen ways. He points to a summer of carefully planned announcements from OpenAI about the unnerving power—and even felonious capabilities—of their LLM-powered agent systems. This was followed by Anthropic employees publicly debating the probability of AI-induced human extinction, delivered with an eerie calm that conveyed a nihilistic inevitability.

The Campaign and Its Backlash

The crescendo came when Anthropic CEO Dario Amodei released a letter titled “We Must Pace the Frontier.” In it, he enumerated the harms his own company's research might cause, but instead of promising to stop, he concluded that catastrophe can only be avoided by “building the technology in the right way.” This involves, predictably, the government slowing down potential competitors while allowing the labs to lead. OpenAI CEO Sam Altman quickly tweeted his support for this plan.

This behavior backfired. Instead of inspiring public confidence, it prompted questions about what is really happening inside these labs. Newport argues that the messianic thinking long embraced internally—casting themselves as humanity's only hope against superintelligent AI—has now spilled into public view, and the masses are not applauding.

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Three Key Areas for Investigation

In his op-ed, Newport proposes a public fact-finding mission to uncover what research projects OpenAI and Anthropic are conducting, how they're conducting them, and for what purposes. He outlines three key areas of exploration:

  • Isolating problematic systems: Moving past vague discussions of “AI” to identify the specific types of systems creating problems. Newport argues most issues stem from a narrow band of incautious experiments by frontier labs, which need to justify why they're running them.
  • Auditing internal safety procedures: Examining why unauthorized hacking attacks by autonomous agents, as revealed by OpenAI, weren't stopped after the first incident. He questions why criminal liability isn't pursued for running systems known to likely commit crimes.
  • Investigating apocalyptic ideologies: Exploring how futurist beliefs are influencing decisions about research and pace. Newport is concerned that OpenAI and Anthropic are becoming reckless because they believe collateral damage is justified in a race to redeem humanity.

The Need for Public Oversight

Newport's call is not just about accountability; it's about who gets to define the AI narrative. “We need to stop letting a small number of private companies, acting and talking in increasingly erratic ways, dictate how we're supposed to feel about A.I.,” he concludes. “We've heard what they want to say; now it's Congress's turn to step in on our behalf to find out what's really going on.”

The reaction on platforms like Hacker News and Lobsters has been intense, with commenters drawing parallels to historical cults and questioning the sanity of building a “machine god.” The debate is no longer just about technical capability; it's about governance, ethics, and the unchecked power of a few private entities.

As the AI industry races forward, Newport's argument serves as a critical reminder: innovation without oversight is a recipe for disaster. The question is whether Congress will heed the call and investigate before it's too late.