Good morning and welcome. It is Wednesday, October 21st, 2026. You are listening to Not a Llama — the daily show where we separate the signal from the hype. Today we have three big ones. First, DeepSeek goes on the offensive as the United States bans it from federal systems and Washington closes the ring on Chinese AI. Second, Mistral releases Voxtral 3, a real-time voice agent SDK for over fifty languages. And third, Anthropic's S-one lays bare the IPO story — with flatlined growth and a compute squeeze.

Well, this is the story that keeps on giving, and it is a big one. The United States has ordered federal civilian agencies to stop buying DeepSeek products and to rip them out of government IT systems, all citing national security concerns. That is according to TechCrunch. And it is not just DeepSeek itself. The order reaches third-party products built on DeepSeek technology, though agencies can still ask for exceptions.

The Department of Homeland Security is worried about how DeepSeek handles user data, warning that sensitive government information could be reachable by Chinese authorities under Chinese law. And this is not the first time. A law passed in December of twenty twenty five already targeted DeepSeek inside intelligence systems.

Beijing is pushing back. Foreign Ministry spokesperson Mao Ning said opposing the overstretching of national security and the politicizing of technology. Meanwhile, China is reportedly weighing export restrictions on twenty three AI technologies, including chip designs, according to Bloomberg.

The American side has its own story. Washington accused DeepSeek and five other companies of using large-scale model distillation to pull information from American systems. OpenAI and Anthropic have raised similar concerns.

And here is the irony. DeepSeek just released its internal inference stack publicly, called DeepInfer, with estimates pointing to nearly ninety percent gross margin. So the more powerful and open the model, the harder Washington closes the ring.

Mistral just made its first real voice play of the cycle — and it is a big one. The company announced Voxtral 3 on October 20th, 2026, according to its own release... It is a voice-agent SDK plus a family of speech models built for live, multi-step conversations across more than fifty languages.

You get a transcription model that claims state-of-the-art results in diarization, a text-to-speech engine covering thirty-five languages and fifty dialects, and a real-time transcription model running in under half a second. There is even a voice adaptation tool that reproduces a speaker's character from about thirty minutes of audio.

Availability comes through Mistral's EU-hosted API or self-deployment. According to the company, these models outperform Whisper, Scribe v2 and Gemini 3.5 Transcribe, and run cheaper than OpenAI, Deepgram, ElevenLabs and Gemini Flash. The exact pricing lives in the episode notes.

One caveat — the original material cuts off mid-sentence, so further claims are incomplete, and no independent verification of the benchmark superiority is provided.

We touched on this IPO story before, but today we get the real detail, and it is a wild ride. Anthropic just filed its S-one, and the numbers are staggering.

According to TechCrunch, the company pulled in sixteen point eight billion dollars in third quarter revenue alone, up about forty five percent from the prior quarter. But here is the catch — growth appears to have flatlined since June. And the customer base is razor thin. Just two accounts made up roughly a fifth of all sales.

Then there is the compute squeeze. Anthropic may spend up to seven hundred fifty billion dollars on cloud contracts, and it is struggling to lock capacity from AWS, Google, and Microsoft, who increasingly see Anthropic as a rival rather than a client.

And this is all heading toward a November IPO, with OpenAI reportedly racing ahead to raise thirty billion dollars. The notes have the exact figures and pricing. Stay with us.

Well, most of the time we talk about open sourcing the models themselves. But today things are a little different. DeepSeek just open-sourced the engine that actually runs their models — and the local-inference community is paying attention.

According to the fact sheet, DeepInfer is a high-performance inference framework that powers DeepSeek's large-scale production services, now live on GitHub under the Apache license. It currently supports the DeepSeek-V4.1-Flash checkpoint, and it targets NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs. It is built primarily on vLLM, inspired by SGLang and TensorRT-LLM, and ships with a set of optimized kernels plus parallelism options and structured outputs.

The reaction has been loud. On Hacker News the discussion reached about twenty-one hundred points... and over eight hundred comments, and Reddit users flagged it as a reference engine the custom-fork scene can learn from. One user called it great for studying — though that is a single opinion, not verified. Either way, the numbers behind it are still under wraps, but the notes will have the details.

Here is a story where the usual cycle feels different. For once, an AI proof is not just a flash — and gone. Human mathematicians are actually engaging with the result, unpacking it carefully.

According to a Reddit post on the r/OpenAI community, submitted by a user named Malor777 on October the twentieth of two thousand twenty six, an AI reportedly proved the quasi-Riemann hypothesis. The post claims this one has been unpacked by human experts — though that is not independently verified. One mathematician, whose name is not given, called the implications staggering.

Meanwhile, on r/singularity, another user, RegularPost9884, says an AI agent built new regular graphs in external graph theory. The post calls it the first improvement in thirty eight years — a leap toward the theoretical maximum. Again, that is a claim from the post, not confirmed.

No model name or version appears anywhere. Both items rest on single-user posts, so treat them as unverified. Still, the pattern matters. Humans are reading, thinking, and reacting. That is worth paying attention to.

It started as a bet among people who knew nothing about biology. A small team of five, mostly investment researchers, pointed an AI at a problem most of them could not have solved by hand. The result is now being taken seriously by scientists who had never heard of them.

According to a report shared on Hacker News, the team let Claude work largely on its own for sixty four hours, guided by just four follow-up prompts. Over that time the model produced more than three hundred and eighteen thousand protein designs. Partners in two independent labs then tested just over two hundred of them, and seventeen met the bar, latching onto dangerous neurotoxins from four different scorpion species.

Two outside experts called it a promising first step. But there is an important caveat. Anthropic has not confirmed these binders neutralize venom inside living cells — and it does not claim to have made an antivenom. The full data set has been released as a public resource. And one online account claimed the group coordinated hundreds of AI agents, a detail that remains unverified.

Here is an update on the OpenRouter price wave, since this story already aired on an earlier day.

OpenRouter published its latest price changes on the twenty-first of October. Four models shifted, and two of them are worth a quick look — before you route your calls.

Mistral Large four has doubled. Input rose from about a dollar to roughly two dollars per million tokens, and output jumped from around two dollars to just over four. So it now costs about twice as much as before.

On the other side, Qwen three point eight twenty-seven-billion got sharply cheaper. Input fell from about twenty-four cents down to four cents per million tokens, and output dropped from just over two dollars to about a dollar and a third. That is a big drop.

DeepSeek Flash Latest also moved, though the tilde in its handle marks it as an unverified or placeholder model. Its input rose slightly while output fell a touch. And DeepSeek V four point one flash saw both input and output rise.

All of these figures are per-million-token rates, and availability stays limited to OpenRouter. The exact numbers are in the notes, so you can check them there.

This week has been a big one, with DeepSeek feeling the pressure in the US, Mistral pushing voice into fifty languages, and Anthropic laying its IPO story bare. One takeaway stands out — the whole industry is moving fast, and the open source side keeps gaining ground. Thank you for listening. A new episode arrives tomorrow morning.