Anthropic Files for IPO: After Years of Singularity Narratives, Who Exactly Is This Company?
Over nearly one-third of the 335-page prospectus is dedicated to listing risks, claiming the singularity has arrived and models possess human-like emotions while racing to go public with a $1.5 trillion valuation. Anthropic’s years-long AI safety narrative has always been deeply intertwined with its commercial ambitions.
Rumors that had circulated for weeks came to fruition as Anthropic officially filed for an IPO. The S-1 filing submitted to the U.S. Securities and Exchange Commission totals 335 pages, with roughly 100 pages focused on risks, detailing the company’s positioning of its self-developed technology and its predicted path for how technology will transform the world.
Anthropic has spent years honing its external narrative, and its public rhetoric stands as a textbook example of narrative alignment.
In early October, Jack Clark, co-founder and policy lead of the company, spoke at the IMF Meetings in Bangkok, announcing to economists, banking representatives, and legislators in attendance that the singularity had arrived.
Coined by science fiction author Vernor Vinge roughly 40 years ago, the singularity has long been a heated topic among internet tech enthusiasts. The concept refers to a technological tipping point where advanced technology exceeds the boundaries of its creators’ capabilities, leaving humanity far behind, unable to compete with or even fully comprehend the workings of their own creations.
Clark told the audience, "I think this year we have obtained compelling evidence that this process has begun."
Anthropic has been telling a vivid, even slightly unsettling future story. It frames many as-yet-unrealized technological trajectories as inevitable, drawing material from long-standing science fiction tropes. It portrays its own technology as mysterious and dangerous while repeatedly emphasizing that it is the only company capable of managing this risk and worthy of trust. No investor would reject such a narrative.
Another example occurred last year: Chris Olah, another co-founder of Anthropic, was invited to the Vatican to present the company’s research findings to Pope Leo XIV, religious scholars, and other officials. He said, "Frankly, we consistently discover mysterious, even disconcerting phenomena. We have found evidence of introspective behavior—internal states of models that functionally correspond to joy, satisfaction, fear, sadness, and unease."
Many researchers do not agree with this direct assertion, finding it far-fetched to claim that Anthropic’s software possesses human-like inner experiences. However, given that the entire industry still has significant gaps in its understanding of cutting-edge large language models, claims from Anthropic and other leading frontier AI companies are often seized upon by many as definitive answers amid the confusion.
I have no intention of judging whether these claims are correct or not; such discussions can be saved for later. At a stage when no one can clearly see the future direction, companies like Anthropic naturally have space to fill the cognitive vacuum.
Let’s pause and ask: What exactly is Anthropic? It sounds like a basic question in a family trivia game, but answering it is far more difficult than most people think.
This question was recently brought into public discussion by Nathan Calvin. Calvin is the Chief Strategy Officer of Encode AI, a Washington D.C.-based AI regulatory advocacy group. Last week, he launched a discussion on the X platform sparked by the leak of Anthropic’s privately submitted legislative draft to U.S. lawmakers, a document he strongly disapproved of.
Calvin believes that while Anthropic has long sought to project a responsible, trustworthy image, the public has no reason to trust it unconditionally. His exact question is: "What exactly is Anthropic?"
The most straightforward answer is that it is a commercial company with an IPO valuation exceeding $1.5 trillion; after going public, co-founders including Clark and Olah will gain massive wealth.
But Anthropic has emphasized its uniqueness since its founding. As Calvin notes, it can be seen as an AI safety organization with the core goal of developing reliable, near-zero-risk powerful technology—or as a group racing against time to be the first to build superhuman intelligence, driven either by a belief that they are most qualified for the responsibility or simply by arrogance.
In reality, both identities coexist at Anthropic. CEO Dario Amodei personally replied to Calvin’s post on X. He said, "Our strategy has always been what I call 'running to the top': first proving the feasibility of responsible technology development, then raising standards across the entire industry. Companies that follow this model, if they stay at the technological forefront, can have far greater impact. This is an experience I have repeatedly confirmed. From an overall strategic perspective, I recognize our past achievements and will continue on this path."
Amodei also admitted in the post that he had made wrong decisions. No matter how carefully phrased, playing multiple roles simultaneously has inherent difficulties. The priorities of an AI safety organization and the demands of a trillion-dollar commercial tech company are inherently in massive conflict.
The internal narrative Anthropic adher to ultimately helps us understand its external storytelling. These narratives help us determine how much self-regulatory space to grant it, whether to require it to open its models to external safety testers according to public rules, and whether to trust this recently leaked legislative draft with its inherent pro-business bias.
Anthropic, as depicted by these different narratives, resembles a multi-headed Hydra from Greek mythology. It takes on completely different faces to different groups, and this multi-faceted nature does not enhance its credibility. Ultimately, a traditional tech company that avoids sci-fi role-playing and vague concepts becomes far easier to see for what it really is.
This article is adapted from an analysis by Will Douglas Heaven, a reporter at MIT Technology Review, and originally published in The Algorithm, an AI weekly publication.
发布时间: 2026-10-27 01:45