Anthropic IPO Roadshow Faces Investor Doubts as AI Stocks Slide

Anthropic IPO Roadshow Faces Investor Doubts as AI Stocks Slide

Anthropic has begun its IPO roadshow amid a rough market climate, with US midterm voters rejecting data centers and Wall Street panic-selling AI stocks. The selloff dragged Anthropic's expected valuation down, raising questions about whether the company can still pull off its planned trillion-dollar listing.

Did Anthropic just save its $1 trillion IPO?. | Transcript:

While Honeypot Wong was busy falling head over leather jacket for a succulent Chinese spy, these Chinese models are excellent. Daria was putting the final touches on his prep work for the Anthropic IPO road show that started yesterday. Unfortunately, it's coming at a pretty rough time for Dr. Doomday. The US midterms turned into a referendum on data centers where voters made it clear they hate them, and Wall Street responded by panic selling every AI stock it could find. That dragged Anthropic's expected evaluation down from 2 trillion in September to a mere 1 trillion today. So yesterday, Dollar Store Daria gave investors something else to look at by releasing Fable and

Mythos 5.2, which you'll never believe are faster and cheaper than the versions that just came out 2 months ago. During testing, it built an entire operating system starting from an empty folder. It finished a math project in 30 hours that Opus failed to finish, and it even designed a working Tamagotchi. In today's video, we'll look at everything these new models can do and answer the question I know you've all been wondering, can it create an interactive thoroughbred with an appropriate amount of realness? It is November 10th, 2026, and you're watching The Code Report. If you don't follow the Claude cinematic universe closely, Fable and Mythos are the same model, but Mythos is the unrestricted one reserved for large

companies with budgets for cybersecurity insurance, and Fable is the one with guardrails that won't let you research how to cook up smallpox. Now, we'll get to the fun stuff in a second, but let's get the boring stuff out of the way first. The price is now $8 in and $40 out, which is down from 10.50 from 5.1, but Anthropic suggests that you should stick with Opus 5.5 for most work and only swap to Fable if you really need it. Before the operating system demo, an engineer pointed Fable at an empty folder and let 1,000 sub agents have a Jensen inspired freak fest for 8 days. What comes out is a fairly legit OS that boots on a real laptop with its own kernel and drivers. And you may remember

back in August when an unreleased Claude spent 11 days turning Fermat's Last Theorem into lean code that a computer could verify. This time, a swarm of 1,000 Fable agents did it in 30 hours, and the proof was seven times while Opus 5.5 crashed out at 26% with the same setup. And apparently, it's decent at hardware, too. Working with a circuit board company called Diode, Fable took a one paragraph prompt and used it to design a voice assistant hub, a USB speaker phone, and a handheld virtual pet. On the TMBB's, it beats GPT-6 Astra everywhere Anthropic listed in OpenAI score. It loses to Gemini 4 Carbon on business automation, and it more than doubles Astra on a robotics benchmark

that Anthropic ran itself. But enough glazing. As you know, there's only one benchmark I trust. A benchmark that's so good, it's become the industry standard by which humanity measures its new God in a box toys, thorough bench. So I opened Claude Code and typed those five famous words to create a realistic interactive 3D horse with 3.js. Make no mistakes. Fable cooked for 43 minutes, and instead of downloading a horse model like a normal developer, it sculpted the entire animal out of math using signed distance fields that get meshed up and rigged to a skeleton every time the page loads. It even screenshotted its own first attempt and roasted it. The mane is bluish, the tail is stick-like, and

the neck and hind legs are thin. Then it went back and fixed every one of them. The end result is the most realistic horse thorough bench has ever seen. The skin texture and lighting look great. Its head follows your mouse cursor, and you can steer it with the arrow keys or orbit around it in 3D. It's very cute and friendly, but gets extremely shy if you get too close. The transitions between gates are buttery smooth from a standstill all the way to a gallop, although it's a little more awkward when coming to a full stop. Under the hood, Opus 5.5's horse had 95,000 vertices and 35 bones, while Fable's has over 120,000 vertices and 38 bones, and it plants

each hoof with inverse kinematics. So unlike Kimmy, it's not just warping the mesh. Fable 5.2 didn't hallucinate a giant low poly phallus like Gemini, but it equipped our horse with those rear leg shock absorbers, which probably come in very handy when the horse decides to rear, as you can see here. And the mane is a little lopsided unless this was a custom request for his barber. And even though I told it to make no mistakes, it admitted the horse is not photo real, and the eyes are half lidded. And so the final score for Fable 5.2 on Throughbench is a 7.77 making it the new state of the art in horse. And this really got me thinking the models are starting to get so good that we should

really be naming the horses they create to keep track of them. So we've decided to call this one TypeScript in honor of Secretariat, the greatest race horse of all time, who I can only assume would have loved to type if it had fingers. And if you want to take him for a ride yourself, he now lives at typescript.dev where you can walk, trot, and gallop him right in your browser. And if you ever need to run a video in your browser, you can do so with Mux, the sponsor of today's video. Their highly customizable API is by far the easiest way to add video features to your application. We've used it for years to host our courses, but it does a lot more than just infrastructure. When you upload a

video to Mux, you automatically get transcripts, storyboards, thumbnails, and clips. From there, Mux robots gives you AI workflows that can find key moments or pick the best thumbnail without you needing to host a model or maintain a pipeline. You can automate all of this with directives where you define a workflow once and it runs on every new upload. And robots keep up with new AI models automatically so you can safely ignore the next video about whichever model just changed everything. Perplexity, Patreon, and many other prestigious companies all trust Mux, and you can try robots on your own video in the dashboard. The free plan includes 100,000 robots units and delivery minutes every month, and you get an

extra $50 credit at mux.com/fireship or at the link below. This has been the Code Report. Thanks for watching and I will see you in the next one.

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