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Anthropic raises $65B in Series H funding at $965B post-money valuation

anthropic.com

411–420 of 458 posts

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#411

Earlier quoted context omitted.

Bingo. The bigger story is that the float is not there so the companies are "public" in that they sell a small number of shares at IPO to get crazy market caps that then force the ETFs to buy stimulating demand. It's genius and infuriating at the same time.

It is a one-time technique for private investors to extract money from pensions. I moved all my money outside US index and global index funds because of SpaceX and OpenAI. At least until these IPOs have passed I will not move any money back. The sheer size of these IPOs might trigger a market crash.

Shouldn't you have waited to move your money after the IPO but before the holding period for insiders expires?

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#412

Earlier quoted context omitted.

Index funds are market cap weighted. As companies fail, as they always do (median lifespan of S&P companies is about 15 years), you have less of it.

Buy high, sell low in other words?

Well... in normal times they would be entering at the bottom of the index due to the company beginning to grow, the purchase of which is being funded by a firm exiting the index due to shrinking, so assuming you have bought and held units in the fund, most of the time an index fund is buying low and selling low.

And then when you sell your units, hopefully in aggregate the index is worth more than it was when you entered...

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#413

Earlier quoted context omitted.

Google stuffing things in the search results of existing users does not mean active participation or usage. (Not that I'm saying it's not getting used but it's just a feature of google search, and only a fraction of the kind of queries llms get anyway)

Why not? If it prevents people from getting their customized LLM answers from ChatGPT or Claude?

People use LLMs for a lot of things. Different kind of search is only one of them. AI mode is not stopping people from using ChatGPT because it's just a subset of consumer LLM queries.

https://cdn.openai.com/pdf/a253471f-8260-40c6-a2cc-aa93fe9f1...

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#414
The amount of dollars that exist in this economy is mindblowing. Ten years ago, we were talking millions, and this was already incredible when companies could raise a couple of them.

Now, headlines are only about hundred of billions. I do not know what to think about that, apart from the fact that I wish that we were putting that money to enhance human lives in general. Of course, people will say that these tools will help humans in the future, but 1) at what costs, and 2) I would prefer, I don't know, bridges or infrastructure, or free healthcare, or food for everyone.

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#415
Deepseek MiMo and Qwen are now dirt cheap and give out free as well with quality about 95% against the very best so called fable mythos. And all that is on Huawei 7nm Ascend. All those companies added up nowhere near 1T and they affect EVERY SINGLE American lives producing parts that Americans used either via patents or parts. And we throw money to Anthropic with almost no moats at best 6 mths ahead. While Chinese companies holding patents more than Google Microsoft combined and with market bigger than entire USA economy. I think maybe investors too are hallucinating like AI. Sound like mega Lehman Groupon in the making!

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#416
post #296

Earlier quoted context omitted.

Yeah, I think it is pretty obvious at this point that users have gotten over their skis a bit on the fixed rate plans. I suspect a lot of folks were playing around with agentic workflows on a $10-200/month plan and then started implementing them at their companies under enterprise accounts not realizing that API based billing would result in easily 10-100x the costs. Running hundreds of agents 24/7 is all fun and gam…

GitHub doesn't have access to its own models so it has to pay the prices of the model it uses. People confuse price with cost all the time. The price of Opus has dropped from $75/1M output tokens to $25. That's the price. The cost is much lower and according to Dario, about a month ago, they had about a 73% margin. I don't understand how anyone would use GitHub copilot...it's basically running a custom harness and us…

For the longest time Copilot was the best deal in town. For $10 a month you would get ~1300 requests. A single prompt was counted as a request, and it didn't matter how many tokens were used or how many loops the agent did. It was a spectacular deal. Of course, now that they are moving to API based billing the plan is a not really a deal at all. The monthly plan is essentially pre-paying for API credits, which are use it or lose it and they are not discounted in any way.

And FYI, most enterprise accounts were forced to switch to a hybrid monthly seat license plus API based usage earlier this year. So that is why we are probably seeing so much alarm over Ai bills at the enterprise level. Companies went whole hog on agentic workflows not fully appreciating the costs structures of their new plans. Didn't help that pretty much every VC and board was probably breathing down their neck that if they didn't jump on the AI bandwagon they would get left behind.

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#417

I wish I could invest into it, I'd at the very least have invested in their Series F. It was a no brainer by that point. If anyone could teach me how to get into stuff like this, that'd be awesome. I'm from the Netherlands, so not American. Though I'm married to an American.

just talk to your banker they sure know how to invest your money

Aaaaand it's gone!

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#418
post #397

Earlier quoted context omitted.

> Approximately 56% to 60% of U.S. initial public offerings (IPOs) lose absolute value over a five-year period. Historically, the median IPO stock has lost roughly 41% of its value five years after its first day of trading. Ipos are somewhat notoriously risky investments.

sure, but does that risk have good returns to go along? if IPOs are known to be very bad bets why do institutions (supposedly savvy professional investors) participate?

Because they (should) have sophisticated risk models that account for the long tail. If even a few ipos become Google or Facebook, the risk is worth it. But for average retail investors ipo participation will be bag holding exercise. That said betting your conviction is one of the only ways to beat the market, even if it comes with additional risk (emotional+intellectual attachments). If you really believe in ai or space exploration, the upcoming ipos represent an opportunity to bet on your beliefs and predictive capability

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#419

Earlier quoted context omitted.

It is a one-time technique for private investors to extract money from pensions. I moved all my money outside US index and global index funds because of SpaceX and OpenAI. At least until these IPOs have passed I will not move any money back. The sheer size of these IPOs might trigger a market crash.

Shouldn't you have waited to move your money after the IPO but before the holding period for insiders expires?

I moved more than a year ago, the US stock market is basically just gambling by now.

Re: Anthropic raises $65B in Series H funding at $965B post-money valuation

#420

Earlier quoted context omitted.

Where's the moat though? What prevents a race to the bottom with competing AI providers, everyone trying to undercut one another?

I'm also thinking the same. I have been trying Claude Code with DeepSeek 4 apis, and the experience is barely different. In fact the margin of error is so small that harness and prompting account for the most impact in output quality. But, here's the catch: I spend barely more than a handful of dollars per day of regular usage. In fact DS4 via api is cheaper than Claude 100$ subscription. I really think that very soo…

Claude includes or at least promises ZDR in some situations, whereas DeepSeek is explicitly using output to train models. The subsidising might be done with your data.
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