Major Investors Are Skeptical Anthropic IPO Can Achieve $1.5T Valuation

Sure, they have some flashy models, harnesses, and tooling around it, but their competition isn't that far behind - and some of that competition is 100% free. Their moat is closer to a puddle, to the point that there are entire companies built around the concept of dynamically routing requests either to them or their competitors.

Anthropic is the market leader in a rapidly-evolving market, where customers can and will jump ship the second a competitor's model looks shinier or cheaper.

Microsoft has already proven that they do not have the software chops to deliver this. Even if they had the right product managers and UI experts, MS management would torpedo the project and ensure that it gets zero adoption.

And AWS has zero software capability in that regard.

Guess what could help solve it? :)

Seriously though, this “problem” will never be fully solved, we’ll just get better and better at connecting AI to the broader world, and to me that’s already the story of the last few years. Models get better, they’re able to build and drive tools to interact with both the digital and physical world better, which helps build the next generation of models, and so on.

they're already making a business model where enterprises buy tokens and put them in a pool for their users to use, and I feel like that's exactly where some companies will then compare that token pricing to open source models and find it hard to justify the prices, especially as it's quite obvious that many models https://news.ycombinator.com/formatdocare now "good enough"

In the First World War, when they introduced the tank, everybody assumed its role would be to punch a big enough hole in the front lines that the horse cavalry could ride through and attack the enemy's supply lines, because That's How Wars End™. You fight the war you know, even when it's not the one you're actually fighting.

This is a really great identification of why, from an investing perspective, AI is nothing like past technologies.

This, to me, is the most interesting question in all of this. I increasingly feel like we live in a 'post-truth' world with regards to money and the stock market in particular. Like even during the COVID lockdowns the market blinked and then was at record highs within 6 months. It was just lol and completely out of touch with the reality on the ground.

The fed, and government alike, seem to have gradually shifted their mandates from trying to provide to a stable playground to trying to create a playground where important kids are never allowed to fall down. And when your existence is tied to trillions of dollars of the economy, you become the important kid.

Come to think of it this is also probably being exasperated by the rise of money management firms controlling tens of trillions of dollars. When the market valuation is technically just based on sentiment and you control that much money in a self-interested way, you're going to get weird outcomes.

I don't switch from Claude for things like emotional advice. I gave Siri AI a big trial run when it first launched, because I absolutely love the system integration and the user interface, but the model itself is a bit dry for my needs. It doesn't really have principles the way Claude does (thanks to "constitutional AI" or whatever the fuck they want to call it). And I want principles, and sometimes the impression of empathy. Claude meets that bar without being obsessively sycophantic or paranoid.

(Siri AI is very good for some things, though. And I do greatly admire it. When it first came out, I even hacked up an adapter to use it for coding with Pi for just a short time, partly as a meme but also just out of curiosity.)

I tried switching from Claude Code to Pi with DeepSeek. I had tried OpenCode at first, but it's just complete garbage. I felt so impressed with it at first, it felt so slick on the outside, but that impression's just been shattered and shattered and shattered ever since I dug into it trying to fix a performance issue. Its data model and internal behavior is just not acceptable for me. (I tried Reasonix for about five minutes before concluding it's also a bit slop. It seems crafted by someone who actually understands LLMs though, unlike OpenCode, but it's still not very good.)

I absolutely loved the flexibility of Pi and the cheap prices of DeepSeek, but found myself falling into the same patterns as when trying Linux: I was constantly debugging the harness and the model, trying to get it to perform better or investigate something or other. Constantly worried that something was going wrong, that I should try to fix. And yeah, Pi has a lot of convenient features that Claude Code doesn't have, is a lot lighter, and of course can be incredibly modded. I just felt like it was also my responsibility to make my own experience, not just my capability.

At this point, Claude Code seems to just work for me, even though they removed a bunch of features I loved a while ago and never added them back (they came up with huge misunderstandings that completely missed what I actually appreciated about those features, and then proceeded to file them away as resolved). I never have to worry about debugging Claude or Claude Code.

For certain other things that aren't chatting or coding, I found that Gemini 4 Argon is actually by far the best model I've ever seen. It is the first model that's ever strictly exceeded the original November 2022 release of ChatGPT for me. Yup, it took the collective world nearly four years to replicate an experience from 2022. Gemini 3.1 Pro was so close though, I could feel it. When I first found it, I was so relieved that type of experience wasn't lost forever. Then Gemini 4 truly solidified what line of models I prefer for that use case.