An Anthropic researcher resigned this week and published a post on X saying the company is “racing straight to self-improving superintelligence and gambling with our lives.” Anthropic’s own alignment lead co-signed the message rather than distancing themself from it. The statement echoes prior doomer-style AI safety warnings in the industry, but its timing—reportedly while Anthropic is preparing for an IPO—changes its significance.
Why the timing matters
A public warning from an employee and the alignment lead draws extra scrutiny when a company is approaching a public offering, because investors and regulators may scrutinize a firm’s safety practices and risk management. The post does not provide detailed technical evidence of specific failures, but the language used—“self-improving superintelligence” and “gambling with our lives”—signals serious concern among some employees.
Other topics from the latest TechCrunch Equity episode
Hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane discussed additional technology and investment stories in the same episode:
-
Apple: At its big hardware event under new CEO John Ternus, Apple leaned heavily into AI. The podcast noted that always-on features baked into the Apple Watch and AirPods could matter more over time than headline-grabbing devices like a foldable iPhone.
-
Stokes Space: The company’s $1 billion raise was highlighted as an indicator that the launch market may be reopening, particularly as SpaceX winds down some Falcon rockets.
-
Cognition: Investors put $2 billion into coding startup Cognition at a $48 billion valuation. The hosts discussed what that bet suggests about how much room venture capitalists think remains in AI-assisted coding.
-
Floating nuclear reactors: A project developing floating nuclear reactors secured a $50 million seed round, positioned in part to address the power needs of AI data centers.
Takeaways
The Anthropic resignation and public warning bring AI safety and alignment back into focus, particularly given the company’s reported IPO preparations. At the same time, the episode underscores parallel trends shaping the technology landscape: large AI-focused investments, new approaches to meeting data-center power demand, and the increasing role of AI features in consumer hardware.
