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DeepSeek also can easily read and write ML Weights

https://chat.deepseek.com/share/uysgv9yl2aj0tqs3on
1•ConteMascetti71•43s ago•0 comments

GUI64 – GUI for the Commodore 64 running on top of the built-in ROM

https://www.c64-wiki.com/wiki/GUI64
1•ethanpil•2m ago•0 comments

WorkOS reports security breach

3•werrett•4m ago•0 comments

Grok Bot Throttled After xAI Costs Outpaced Subscription Revenue

https://www.gadgetreview.com/grok-bot-throttled-after-xai-costs-outpaced-subscription-revenue
2•PicardManeuver•5m ago•0 comments

The U.S. Is Bullying Europe Like Never Before

https://www.theatlantic.com/ideas/2026/11/trump-europe-guilfoyle-afd-meddling/689226/
2•doener•7m ago•0 comments

Over 1k Danfoss StoreView fridge controllers still exposed online

https://censys.com/blog/european-refrigerator-controller-redux-a-new-wave-of-refrigeration-attacks/
1•acossta•9m ago•0 comments

Cringe Past of DIY Security

https://medium.com/@saitoken330/when-security-was-so-completely-beyond-my-comprehension-that-i-im...
1•7kago_yomi•12m ago•0 comments

Mac Apps on Cutefish Linux

https://cutefish.org/blog/mac-apps-first-milestone/
3•28304283409234•15m ago•0 comments

90% of my "human" visitors were bots

https://luna-park.app/blog/my-human-visitors-were-bots
3•Herobrine2084•17m ago•1 comments

Answering My Own Interview Question (Platform Engineer)

https://mishmesh.net/writing/answering-my-own-interview-question/
1•sudosteph•19m ago•0 comments

We added Hacker News Books/Videos search into our app

https://medium.com/@vektormemory/vektor-2-0-4-hacker-news-books-videos-added-node-js-sqlite-secur...
1•vektormemory•20m ago•0 comments

cvise: Super-parallel Python port of C-Reduce

https://github.com/marxin/cvise
2•gjvc•25m ago•0 comments

CloudOpsBench: AI benchmark shows FAI models struggling with cloud infra

https://cloudopsbench.ai
3•anmejia•29m ago•0 comments

Home – Collabora Online and Collabora Office

https://www.collaboraonline.com/
1•abdelhousni•29m ago•0 comments

Beating Tailscale with Userspace IPsec

https://ranet3.com/benchmarks/
1•StepBroBD•29m ago•1 comments

Nextcloud – open-source content collaboration platform

https://nextcloud.com/
1•abdelhousni•29m ago•0 comments

Ask HN: Who's hiring Google Sheets wizards in 2026?

1•kamphey•32m ago•1 comments

When Mathematics Looks Broken

https://www.joe-scott.com/blog/when-mathematics-looks-broken/
1•joseph_scott•33m ago•0 comments

Create your own Jev using embeddings

https://blog.voyageai.com/2026/10/27/how-to-create-your-own-jev-using-voyage-models/
2•fzliu•33m ago•0 comments

Silicon Valley Is Grappling with a Flood of Bugs Found by A.I.

https://www.nytimes.com/2026/10/28/technology/silicon-valley-bugs-ai.html
2•bookofjoe•34m ago•1 comments

Analysis of all verdicts for all judges on CA ballot

https://judgereport.org/
2•alando46•35m ago•2 comments

A Clock Made of Branches

https://fzakaria.com/2026/11/01/a-clock-made-of-branches
1•setheron•41m ago•0 comments

Psalm 7.0.0 [PHP static analysis tool by Vimeo]

https://github.com/vimeo/psalm/releases/tag/7.0.0
1•petecooper•43m ago•0 comments

Show HN: Synvora – a skincare app that tells you when a product is a bad match

https://apps.apple.com/ca/app/synvora-skin-ai-face-scan/id6795908716
1•bigdave_07•45m ago•0 comments

The Beer Wars: Inside the scramble to control Central Africa's liquid gold

https://thebaffler.com/salvos/the-beer-wars-schouten
1•lolc•48m ago•0 comments

Alphabet in talks to acquire assistant startup Howie AI

https://www.axios.com/pro/merger-deals/2026/11/02/google-alphabet-howie-ai-assistant
3•simonpure•53m ago•0 comments

h1: A Taste of the Bitter Lesson in Automated Theorem Proving

https://arxiv.org/abs/2610.35962
1•matt_d•1h ago•0 comments

The Hitchhiker's Guide to Training on Compute Islands – Core Automation

https://www.coreauto.com/hitchhikers-guide-to-training-on-compute-islands
2•mkmk•1h ago•0 comments

Anthropic's growth just flattened

https://www.regenerator1.com/p/anthropics-growth-just-flattened
77•cdrnsf•1h ago•56 comments

Shotwell-Bench: An annotation benchmark that accepts valid alternatives

https://shotwell.ai/blog/shotwell-bench/
1•aliabd•1h ago•0 comments
Open in hackernews

Anthropic's growth just flattened

https://www.regenerator1.com/p/anthropics-growth-just-flattened
76•cdrnsf•1h ago

Comments

bananaflag•35m ago
Anyway the growth this year is incredulous!
copperx•28m ago
Growth is conscious now? or what do you mean?
throw7272855•26m ago
Huh? They provide a service that does something that did not work before and now does and was quickly adopted. They do not have a moat.
meowface•24m ago
I am just imagining Anthropic (and OpenAI) employees reading these comments and laughing at the rank ignorance of the commentariat.
matt3210•22m ago
I agree, share you system prompt here so I can mark this as a success.
bakugo•24m ago
I think all numbers coming out of Anthropic are utterly meaningless until we can answer the question of "just how subsidized are those subscriptions?"
open592•21m ago
their gross margins point at this not being an issue.
krona•9m ago
Ah the beauty of circular financing. By owning the company who pays me to provide a service, I stand to gain massively by giving them a discount, making them look profitable, and fooling investors in to providing my exit liquidity.
bigwheels•18m ago
The subscriptions are a key part of the engine to ensure The Machine can keep improving itself by harvesting all that data and feeding it back in. Many of the enterprise contracts forbid the lab from training on their data, so the subscriptions are a form of gold.
xvector•14m ago
Doesn't their S-1 render this irrelevant? Their financials are clearly much better than we thought
stingrae•23m ago
I feel like a lot of this could be explained by how good Opus 5.5 is compared to Fable. People don’t need Fable for most tasks.
JacobAsmuth•21m ago
Opus 5.5 is basically not included in this data.
modeless•23m ago
Opus 5.5 came out right at the end of the quarter, September 22. I'm confident that it caused more usage growth since then. I'm sure there are a lot of people rooting for their IPO to fail but they are still clearly in the lead on coding and will continue to do well until someone definitively passes them.
potatoproduct•19m ago
I've been throwing opus 5.5 at problems I got stuck on with sonnet in the past and it has breezed through them all. It really reinforced how far the models have come.
hosel•16m ago
Wouldn’t previous Opus models be able to solve them too? In my experience Sonnet is often lackluster.
Waterluvian•17m ago
I’m not sure it’s a binary thing that contradicts.

I want AI and these companies to succeed. And I especially want new companies to succeed. But I want them to be valued far more realistically. Because if they have to be worth trillions, then there’s a real motivation to do what it takes to realize that valuation. And that’s how you birth a Zuckerberg.

I’m not rooting for them to fail. I’m rooting for the correction to happen sooner than later.

Eji1700•6m ago
> But I want them to be valued far more realistically.

They are. That's the problem. The obligations that these companies are, on paper, supposed to meet require these valuations.

If you value Anthropic at $500b that's still a fuckload and vastly less than their obligations and a lot of people are going to say "well wait a minute how am I going to get paid".

The amount of spend going on, and planned, is insane and underpins a lot of this, and is why people are skeptical of the valuations. It has nothing to do with "Wanting" AI to fail and just a reasonable bet based on the math. For them to pay back what they have on their balance sheet entire continents will functionally be a spec in comparison, and that's really really fucking unlikely to happen.

Doubly so when you consider that there's a question of if they can be profitable to projected needed levels without fundamentally breaking some economics parts, and that this looks a lot like the overbuild of the internet during the dotcom bubble, which was also hideously overvalued at the time, for the time frame they were looking at, despite being THE literal world changing tech.

matt3210•23m ago
They'll be competing on price now with openAI, google, and Amazon eventually.

AI is just a compute commodity with a value add.

thisisauserid•14m ago
Anthropic and OpenAI own no compute. Amazon has no models.

So that leaves...

dingaling911•10m ago
They can't keep getting away with it.
ieekie•1m ago
Amazon hosts models. And?
jijji•10m ago
i think its a lot deeper than that, compared to deepseek-4.1-flash, glm-5.3-flash and the recent minimax-m3.1-flash [0], the comparison in price (15x cheaper inference cost) and the productivity gains are very similar if not more profound depending your prompt topic (cyber, biochem, etc)

[0] https://x.com/jumperz/status/2112226308868436154

hokkos•21m ago
And what is between June and September?
paxy•14m ago
You can tell how desperate an argument is by how many derivatives they are using.
eqvinox•9m ago
Growth being the first derivative… so… not particularly desperate?
nfw2•7m ago
Growth is first derivative. Deceleration is second derivative. Focusing on second not first I think was the point, not implying there is some nth derivative under discussion.
brink•6m ago
Winning an argument online 101: call your opponent desperate.
dmurray•3m ago
Their growth was positive. The second derivative (growth of their growth) was likely negative, and that's what this article is about.
dzonga•14m ago
my simplified take is the headwind is on two ends - smaller models being sufficient enough & open weight models then second utility of 'a.i' is maximal when deployed with humans i.e engineers applying a.i on top of current applications putting an agent layer on top.

the second part is not sexy - but we see all a.i labs having fde arms e.g ode, microsoft frontier company etc but then again that's the part you can't hype.

rwaksmunski•12m ago
As an investor, what's the moat here? Being 6 months ahead of China's open source/weight models?
WarmWash•9m ago
Having compute to serve the demand.
10xDev•9m ago
What is the moat of any tech company if they are using LLMs to build their products which can also be reverse engineered by an LLM? Hardware?
this_user•10m ago
AI growth is unlikely to be linear. We have seen a lot of hype in the last 12-18 month that give us ideas like "tokenmaxxing". But this is the same cycle that we have been before: hype -> disillusionment -> someone figures out a better way to use it -> next hype phase starts.

As it stands, even the people closest to this technology have barely figured out how to use it effectively.

PostOnce•6m ago
Sometimes it's just Hype -> disillusionment, and then no one ever figures out a better way and it's dead technology.

Not saying that applies to AI, but it certainly applies sometimes.

cr125rider•3m ago
I can hear the landfill full of those 3D glasses for home TVs shout in agreement
kubb•10m ago
It's fun to note that nobody mentions AGI in these threads anymore.
rsalus•10m ago
The conclusion that this is a bubble seems arbitrary and disconnected from the several true facts outlined in the article. Anthropic's growth _is_ slowing, albeit still strong at ~47%. They do have enormous compute obligations, and it will require a lot of growth to meet them. However, they also increased revenue per dollar spent on compute from $0.40 to $2.08 in five quarters and hold $131.7bn in cash.

Keep in mind this growth has mostly been sustained by low-level business automations, coding, and chatbots. With the adoption of products like personal agents, e.g., Meta's Muse, I am pretty optimistic there will be demand and growth around this level will be sustained for a few quarters. Doubtful we will ever see another ~150% growth quarter.

obblekk•8m ago
OpenAI's Astra released on Sept 3 and Opus 5.5 released on Sept 22.

Most likely the combined revenue growth continued just as fast, but OpenAI took a lot of market share with a model that's ~as good.

If true, then the current market sentiment is too pessimistic because demand for AI (and chips) has continued growing.

foxfired•8m ago
- Would you like to get paid a million dollars right now, or get paid a penny today that doubles everyday for 30 days.

- hmmm, why 30 days? Make it 60 days and I'll take the penny.

The effort needed to double everyday, or month is realistic at first. But then you can't just keep doubling without swallowing the universe along the way.

l9o•7m ago
I think one thing that could explain it is that some of the big tech companies might have been big customers of theirs, and now they have alternatives that, according to recent news, their employees are being pushed to use instead. Some of those reports mentioned internal usage getting cut in half. If this is true, it doesn't necessarily mean their growth has stalled.

Discussed here a few weeks ago: https://news.ycombinator.com/item?id=49997161

ieekie•5m ago
The mental gymanaatics here is crazy

1) customer concentration risk 2) when those customers use a diverse set of models - so too will the rest - they’re not idiots who want to pay more than they should

Aka % growth rate decreasing sharply and eventually flattening out. Within 2-3 quarters.

Understood?

lbrito•3m ago
Zitron has been saying this for months.
WarmWash•3m ago
The real question is how many people haven't figured out how to use AI to make their job easier/more productive.

Especially with this latest crop of models, they seem to be pretty damn competent in classic engineering rather than just software engineering.

tyroneschiff•1m ago
I thought growth has slowed due to crackdown on distillation
amluto•17m ago
I’m wondering whether Opus 5.5 would have caused growth in an absolute sense or just growth relative to competitors.

Anthropic’s market share is pretty high and there is not enough total currently addressed market for growth at the expense of a competitor to make a big long-term difference.

stingraycharles•15m ago
Well what I do know as someone who has a bird’s eye view into many enterprises is that many of them are starting to realize they’re bleeding money to Anthropic and are telling their teams to be more efficient with tokens.
tybit•17m ago
This is likely true, but doesn’t really tell us much about future revenue growth. Now they need to compete on price, I think their revenue growth may start to look much more like typical Jevons paradox examples. I.e as their usage grows exponentially their revenue grows linearly rather than exponentially as it was before.
efromvt•16m ago
Yeah there was a vibe shift towards OpenAI being much more competitive for daily use and then Opus 5.5 hit. Will be curious to look back and see if that shows in data. Of course, could change tomorrow.
chunky1994•15m ago
As a counterpoint I haven't seen opus doing that much better than the latest gpt models? Astra is definitely comparable to fable and sol has been as good as opus for me. So this rings a bit anecdotal and that's probably what people will be seeing affect the growth trajectory too.
senderista•14m ago
Sol 6.1 is definitely not comparable to Opus 5.5 for me.
0x1F8B•13m ago
IMO Opus 5.5 has quietly been a revelation. It basically requires no hand holding from me given a sufficiently articulated prompt. At this point I'm limited by reviews and end-to-end validation of changes.
chunky1994•7m ago
> It basically requires no hand holding from me

> given a sufficiently articulated prompt

Are these two statements not at odds with each other? You can always say a prompt is not sufficiently articulated if you need to add additional handholding and vice versa, thereby invalidating any meaning of measurement.

adam_arthur•1m ago
I've found Sol 6.1 a regression over 5.6.

Not due to capability per se, but writing style and polish is much worse.

It will leave really bad comments in the code, commit messages etc without strong explicit steering.

It also tends to talk very circuitously and referencing things implicitly instead of just being direct and clear.

Certainly it's more capable in debugging, but I much prefer Astra over Sol now.

Of course, Astra has its own problems of code golfing everything

meric_•46s ago
if you go on short form social media, Opus's ability to do agentic work in things like blender, css animation, etc. have spawned hundreds if not thousands of channels of people pumping out content with it. That and all the video game shenanigans (and now Anthropic is even modifying its system prompt to limit some of these things!)

There's definitely unique things that so far only Opus is capable of doing.

beepbooptheory•11m ago
I have zero sense of this myself, am just curious, and not confident anyone really knows, but: I get that its a big deal for software developers when each new model comes out, because its perceived (correctly or not) as the next big boost for their productivity, but what about everyone else who is not a coder? Is there big reactions there to newer models? I don't know a single person who is not a engineer that would be able to tell me if "Astra" or "Opus" are Anthropic things or an OpenAI things respectively, much less when and what the big new version is for any of them. Does this play out for others? Or am I just in my own bubble for some reason?

What does average, non-computer Joe or Jane think when the next big model comes out? "My emails are going to be so much better now, I better stay subscribed"? "I can't wait to see how well it answers my questions"?

rvz•10m ago
> I'm sure there are a lot of people rooting for their IPO to fail but they are still clearly in the lead on coding and will continue to do well until someone definitively passes them.

Then why all the rush to IPO then?

The strongest chinese models from DeepSeek, Kimi and z.ai are already good enough to run for hours on most coding tasks cheaply.