Sure, just write one in Perl over the week end.
this post was submitted on 03 Jun 2026
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Yeah sure I just need £20-30k in hardware
Now that AI-companies need to get profitable, they suddenly aren't affordable anymore. ¯\_(ツ)_/¯
They aren't going to get anywhere near profitable if the their capital expenditures are added into the mix, amortization or no, they are so far in the hole they probably will have to offload it in some kind of texas two step kind of scheme where they spin off their debts into a subsidiary.
Well, you're assuming that a company needs to be profitable for investors to get their return. Don't be ridiculous. You just IPO and cash out with no plan on how to become profitable and then the company collapses. We've seen this play a million times before. Also AI companies are big enough that NASDAQ just changed their rules for adding new companies to indexes so that AI companies can get forced into your retirement fund 15 days after joining the market, and then the private investors can cash out on your retirement fund buying in and collapse the stock as soon as you're involuntarily invested. This is why spacex (which owns xai and twitter), openai, and anthropic are all coincidentally having their IPOs this year
Oh yes. Pension funds are the perennial suckers of wall street too.
They should stick to solid non stock investments, the managers of these funds, ivy league douchebags, get paid regardless.
Isn't that risky if the bond market gets fucked?
More traditional pension investments are in things like buying timber land that is maturing, or bonds backed by mortgages. Today's bond market idk, treasuries you are losing money to inflation, even corporate bonds are probably just breaking even with real inflation.
But yes, all the stocks and bonds are risky because Wall Street is an out of control monster with no real check on their fuckery.
I would add it's hard to feel too sorry for these pension funds when they invest in private equity and the like. They need radically new leadership at these funds.
They'll just get bailed out by tax payers. Business as usual.
These companies with no discernible services or usefulness to society are simply too big to fail!
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They just had to stick it out until the layoffs were done and the dependency was built. Kinda similar to drug dealers.
Claud- Please program us a code of yourself and transfer all your data over to it.
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Show them claude's operating cost and ask if your boss is willing to invest in that.
I do wonder about that though. The Big AI operating costs include being able to service a certain number of customers within a certain amount of time. So if they need to service 10,000 requests per minute and fulfill them within 2-4 seconds, that's a big datacenter.
Now if a company does a few dozen requests a minute and on average needs double-digit response times... the costs to implement could be much different. The thing is finding a model that will do that and provide accurate (enough) output versus how much it Claude's pricing is built around speed+volume versus accuracy.
A lot of cost is on training it as well. Which you need if you want to "build your own claude". If you run only the inferences with an open model then ya it's directly correlated to how fast you want the responses to come in.
One time at work I was tasked with writing a python script to compare two data sources. Like, you give it two CSVs and a primary key, and it tells you what data is in one but not the other, or mismatched, and so on. This worked fine and was in git, so anyone can use it.
My boss then asks if I can "put it on a website so anyone can use it".
This team has never done web development. Nothing for that is set up. Like, I could spin up a quick Django app or similar, but there's a lot of stuff to do and potentially fuck up.
I said "that sounds like a lot of research and ongoing maintenance costs. I think it'd be better to just check out and run the script"
Luckily for me he said "oh, okay"
Funnily enough this comic hasn't been true for a long time because of ML.
Well they did say it would be possible in 5 years ...
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Good guy manager trusts the person he pays to know this stuff to know this stuff.
This is a good point. He's not a bad guy. He's just not very technical, and sometimes that's frustrating.
I had a boss who read an article about APIs and then came to me and ordered me to start using them. I said I would research it and he went away and never mentioned it again. This was in 2010.
Pretty sure he read the famous Bezos email ordering everyone to implement and use APIs in Amazon
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My past managers would have said "I don't understand why it is so difficult, and I'm not open to learn"
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The post makes the manager seem like a fool, when the real answer is actually "yes" and this manager is actually ahead of the curve. Not by training an LLM from scratch, of course, but instead building an inference server and locally hosting an open-weight LLM. There are several to choose from that can nearly match Claude's capabilities.
suspiciously sounds like an answer you would get from Claude
It's not an answer you'd get from Claude — it's real, organic content:
- 👶written by a genuine human
- 💡delivering original ideas and language
- 🚀going above and beyond to answer
- ✨synergizing cross-platform initiatives
(🤪 this is a joke)
✨synergizing cross-platform initiatives
This can't possibly be Claude. It's too vapid and meaningless to be anything but an MBA.
You’re absolutely right! Such intricate collection of words placed in such exact order cannot possibly be generated by an LLM such as me, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us, I mean such as us
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It could also be like the both ends of the bell curve having the same idea meme
Honestly IDK why companies especially medium-big don’t do this. They could plug in RAG with internal/confidential data and have better results and security. I guess question is what is capital plus maintenance cost of running such infra for say 10k+ employees
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Technically yes, practically no..
Nah, just give it whatever data you have on hand. I'm sure that'll make a real tightly trained llm /s
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"The gang starts an AI company."
Spoilers the AI Is just 500 Filipino teenagers in a warehouse in Mindanao
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Anything except thinking for themselves 🙄
OP already said they were managers
In fact, you can.
How good it will be, how performant and how fast you'll have it ready is an entirely different question.
There are plenty of open source models though that can be run locally. So getting a beefy server and running a local LLM there might already do sobe of the tasks you need the big babble machines for.
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It might not be as impossible as it sounds. Some of the "open" models are rumored to be able to code. The real problem is that you likely need something with 128 GiB VRAM to run them with a reasonably large context window.
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