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After AI more or less “solved” large parts of mathematics overnight and literally broke the internet by uncovering decades-old PHP vulnerabilities, you still think this is a hype that’s cooling off?

To me, this mostly shows how much our baseline for what counts as “noteworthy” has shifted since ChatGPT came out. I’ve seen more disruptive events in the last couple of years than in the 30 before that.

What would it take to get you excited again? AI discovering that aliens exist?

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Isn’t that the point though - they’ve generated such strong results in mathematics, so why now are they delivering something so weak here?

Hype rather than realistic attempts to solve things is actually a valid explanation for that. They want to give the impression it’s a solve-everything machine even if it’s not well suited to areas outside of CS and math (or really anything where the logic of what is being done is not 1:1 with syntax, which is where LLMs are clearly excelling)

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> So why now are they delivering something so weak here?

Was anyone under the impression that AI would, in its very first attempt at biological research, suddenly be able to get answers without having to need physical follow-through on its leads? Even if AI had a hypothetical cure for cancer, it would need a human with cancer and a biolab and governmental approval to actually do anything with it.

The nature of biology makes the feedback loops much larger and more expensive, which means the AI has to follow the "normal" collaborative scientific process instead of being able to hunker down in its proverbial study and work all night.

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> AI discovering that aliens exist?

I wonder if this would turn even the most stalwart opponents around.

I could see discussion about such an announcement focusing on exactly what qualifies as an "alien."

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How is the hype cooling? Opus 5.5 is doing most of my job
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I assume your still verifying that opus is correct?

In which case congratulations you’ve just been promoted to manager with no pay increase!

Joking aside Ai is doing a large chunk of my job but all it’s done is shifted what I actually spend time on.

It’s not really saved any man hours.

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Hype and functionality are only loosely correlated.
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That's not hype - that's the new norm. It's not novelty anymore.
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and the company serving it is losing 50B every half year lol
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The staggering losses anthropic is facing are mostly due to their valuation increasing to just shy of 1T at the beginning of this year. That valuation increase caused the value of what they owe on future stock to triple which is shown as a massive loss on paper but doesn’t represent actual cash leaving their hands. The rules are being rewritten by frontier companies whose revenue growth and proposed spending are outpacing any thing we have seen in the past. Anthropic has committed to spending over 500B over the next 10 years on cloud infrastructure which might be what you are quoting but many project their revenue growth to outpace the 50B a year in spending so that may not even equate to any loss but will certainly be less than 50B/yr. The whole thing is bonkers but and it’s easy to get overwhelmed by the breathtaking numbers on their balance sheet.
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Because they are growing aggressively.
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If that company stopped training new models and just continued serving Opus 5.5 they'd be profitable. Being in an R&D race isn't cheap
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If they would be profitable without further spending on R&D they would stop spending, but as you say they are in an R&D race so they can't stop and thus the hypothetical is irrelevant.
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For how long? If OpenAI or Google (or Chinese companies) decide to keep losing money longer than them they'll pass them pretty soon.

The AI race is going to be won by whoever has enough money to burn to outlast competitors and I'm increasingly skeptical that's going to be Anthropic

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Paper loss. It's a sort of debt they have on bonds that is tied to their valuation. Because their valuation has grown significantly, so has their debt. It's standard accounting process to put that debt as a "loss", even though they're not paying anything.

Think of it this way. It's as if a public company gives you a certain amount in RSUs that won't vest for a while. A year later, the company is worth 10x more. So they list the increased value of the RSUs they owe you as a loss.

In reality, the fact that this "debt" has ballooned so much is a positive sign - the valuation is high (it's a separate issue whether that valuation is realistic).

Their "real" losses are about $8B.

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Because you have a simple job.
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Would love to know what you do that’s more complex than say mathematics research
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Not stuffing every part of a number space into a sequence?
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>AI hype is cooling in October 2026

You only see this kind of sentiment in HN and Bluesky comments, both known for their prescient and never disproven beliefs about tech progress

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I actually don't think so.

I think Anthropic actually has enough revenue to function. I think they cover their compute obligations with revenue, I think they can probably cover reasonable salaries too.

I made some calculations earlier, but with 16.8B for Q3, what is the problem? 2.5B per annum should cover the necessary salaries. After that they have 64.7B. Compute obligations over the coming ten years are only 518B. 8x their their current revenue.

I think this is actually a stable business. Probably not compatible with a 2T valuation though, especially not at present interest rates.

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Math and Computer Science have low costs to verify answers. Biology is high due to reagents and instrumentation costs.
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That must be hard to say with a straight face. Over the last 4-6 months I think very few corporate developers have handwritten any code at all and the “intelligence” growth from one model to the next is very tangible.
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Odd. I barely perceive the growth, and I use them a ton at work. Not saying the advancements aren’t there, I just wouldn’t describe every model release as having tangible growth.

Also the handwritten code doesn’t remove the work. If anything, it makes the thinking more difficult (for me) because instead of thinking during the coding, I have to before and after (in iterations).

For big projects I actually go back to tradcoding some to make sure I understand the system, since I’m the one responsible.

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Same. People are drunk on "agentic" and reality is coming for them. It's also coming for the holdouts who say it has no effect.

Like a lot of tech before it I think the overriding theme is misapplication during a hype cycle.

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I actually dont let llms code anything non trivial, I will have it help with the planning a bit usually, but I write most of the code, and wow turns out my brain doesnt rot in the process and I actually understand whats going on.

Im convinced the people letting llms do their jobs are going to get replaced, not by agents but people who use them more reasonably.

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That’s true. But that’s a really small slice of the pie they’ve cut for themselves in hype and valuation.
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