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Tuesday, November 10, 2026Local news for Cook County, Illinois.
Cook County Chronicle · 17 E Monroe St, Chicago, IL 60603
News · National

Breaking: Chinese open source models disrupt Anthropic IPO plans

As Anthropic prepares for a massive public offering, free alternatives from China and new platforms like Pirate Face are challenging the company's control over artificial intelligence.

By Aiko Sato ·

Illustration for: Breaking: Chinese open source models disrupt Anthropic IPO plans
Blue indicator lights glow on the front panels of server racks in a dimly lit corridor.

Anthropic, the maker of the Claude models, is preparing to go public in an initial public offering that it projects at a valuation between 2.5 trillion dollars and 3 trillion dollars. For everyday users and businesses in Cook County, this financial move signals a shift in how artificial intelligence is owned and accessed. A Claude subscription is a monthly service that allows users to interact with the company's chatbots and coding tools, but the cost of that access is increasingly tied to the physical hardware required to run it. The core question surrounding the IPO is how a company that loses 500 billion dollars and makes less than 20 billion dollars a year in revenue can be worth 2.5 to 3 trillion dollars. The gap between these numbers rests on the promise of future dominance in a market currently constrained by a severe hardware bottleneck.

This bottleneck is the GPU economy, where the availability of graphics cards dictates who can use these tools. A single Nvidia RTX Pro 6000 graphics card can hold about 15 to 20 light users running light compute at about 60 to 70 tokens per second. Alternatively, it can support 1 to 2 heavy coding users running Claude Code at about 40 to 50 tokens per second, assuming constant use 24 hours a day. Each heavy user on the max plan pays 200 dollars a month, while each light user pays about 20 dollars a month on average for a base plan. The card itself retails at 20,000 dollars, a price that does not include the servers, switches, CPUs, or electricity needed to keep it running. Buying the cards from Nvidia direct at a wholesale price of 3,000 to 4,000 dollars means the GPU alone takes about 10 months of a heavy user's payments to pay back.

Nvidia drives demand up and lowers supply, giving all its supply to the large players like Anthropic, Grok, and OpenAI, leaving the consumer market to fit the bill. To secure its position, Nvidia agreed to acquire Hugging Face, the platform where most open AI models are distributed, for 12.9 billion dollars. Hugging Face makes about 150 to 200 million dollars a year in its peak years, making the 12.9 billion dollar price about 70 times its revenue. The stated reason for the deal was CUDA, the software that runs these models, but the deeper reason was control of the distribution of models on the market, especially the open source sector.

The open source market is being flooded by advanced Chinese models, including Kimi from Moonshot AI, DeepSeek, Qwen from Alibaba, and models from Xiaomi. These companies are willing to give the models over to the public to increase innovation. Kimi K3 started to outperform the Opus 5 models from Anthropic, and it was given to the public. The internet used these large language models, quantized them down, and made them usable on smaller machines like Mac Studios, A100 cards, and RTX Nvidia models. This process of quantization allows complex models to run on hardware that would otherwise be too small or slow, democratizing access to high-level intelligence.

After Nvidia acquired Hugging Face, advanced models were deleted from distribution. Anything over a quant 4, meaning advanced and capable of beating out Claude's models, was removed. The 4 bit, 6 bit, 8 bit, and 16 bit full sized models were banned from the Hugging Face platform. Developers on Discord rallied to stop the censorship and corporate overreach, and they opened Pirate Face, a place where you can upload and download all models. However, this new platform emerged only after the large 400 gigabyte models at quant 3 and higher were scrubbed from the network, creating a fragmented landscape for those seeking free alternatives.

Anthropic demanded that Congress ban Chinese models because of national security, when the real goal was to control the market. The company recently did a publicity stunt by releasing and circulating media that AI will take over the world, a narrative that gained traction when one of its disgruntled employees, Jacob Coxon, quit amidst his disappointment in AI. The goal was to get the government to pass bills banning models that were a huge threat to Anthropic's bottom line. The panic worked, and Congress passed a bill that now bans any government and its affiliates from using any Chinese models. Anthropic is trying to pass bills that would stop other companies like Verizon and other networks from launching their own AI models in house by using these advanced open source models.

In June 2026, Anthropic released Fable 5, and the government forced them to take it down. Fable 5 and Mythos 5 were released on June 9, 2026, and Anthropic suspended access to them worldwide on June 12, 2026, after the U.S. Department of Commerce issued an export control directive. The models were solving too many problems, and Anthropic pulled them off the shelf. This was not about winning the AI race; it was about controlling the AI race. The suspension highlighted the tension between rapid innovation and regulatory caution, leaving users without access to these specific capabilities during a critical period of development.

In recent months Anthropic has been suspending users with absurd reasons like abuse, potential fraud, and usage violations. The appeal process is useless because it is fully run by bots, and as soon as they kick you off they will not reactivate the account. Once Anthropic goes public, the suspensions will multiply 100 times or 1000 times because it will have deep pockets and access to unlimited funds. The end user will not be important to them. Anthropic does not make money off of daily users, and it sure as heck does not make money off of heavy users. This dynamic suggests that the company may prioritize large enterprise contracts over the stability of its individual customer base.

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