60 employees who can’t be productive without AI?
And this is progress?
This makes me so happy about my employer. I’m sysadmin for a newspaper.
We had an all-company test run 2 weeks ago to answer the question “What if we’re hacked?”Turns out we’re able to produce a printed and online newspaper within a work day if NONE of our normal IT systems (hardware, software, e-mail, network) are accessible.
Everything we need has a redundancy that’s kept completely physically separated from the network until the day it’s needed.Eh consider it like a power outage. These corporations don’t deserve more than automated slop. If that system is down, it’s an earned break
This is the current web with its social media like life. Say something, be outraged.
But let’s be honest. We really have no idea what to the true story is. There are so many ways to spin a story. Probably both sides fucked up.
The one thing we know is fucked up, is that anthropic is acting like a startup. If they want to work with businesses they need a dedicated support team.
I dont know if its because its bern a long day and i am exhauseted but i am tired of being outraged.
Funny how nobody seems to use this argument every time there’s a problem with the NYC subway.
Based on a quick web search, staff can only remove people temporarily for rule violations; it takes a court order to get a long-term ban from the NYC subway.
Just another form of vendor lock-in. If your business model is mostly/entirely dependent on an external party, that should be a well understood risk.
The only people winning are selling shovels
Or rather the right to use shovels under ToS that can be changed on a whim.
I am responsible for gathering information on AI to determine whether we should use it for our next project. The ask was to use it for a critical process task. Immediately in my head I was like “no, we are not using AI at all”, but I obviously need quantifiable data. This is just another thing to add to my list of why using AI for core processes is one of the stupidest things you could ever do.
Well you could also spec out a few machines for local LLMs as a sensitive alternative to show the higher ups. “This is what it’ll cost us if we don’t want to be caught with nothing but our dicks in our hands when a vendor decides to shut us down for actually using the shit we’re paying for” and “it’ll end up saving us money eventually” (if you can male the case for that, you’ll have to do your own calculations).
Keep in mind the top of the line models will require some 600-700 GB of VRAM IIRC, may want to check ollama for examples. And you’d want redundancy of course, not a single machine.
Capex will usually seem more sensible to businesses than opex since it’s a one time thing, but this should be big enough to deter them unless you work at a really big company.
But also, what type of task is it? Perhaps AI is not a bad fit, just LLMs. There are plenty of decent use cases for other types of AI. For an example you could tell if something is a hot dog or not with pretty good accuracy.
Or… taps mic… don’t fucking rely on AI for your business! Play stupid games, win stupid prizes.
This is true for any company using 3rd party services. I worked for one that used a 3rd party messaging service to send out mfa texts to users. The company was hacked and went offline, so we couldnt send any mfa codes… and of course, they had no plan b.
In business, always have a backup
This is true for any company using 3rd party services.
It’s like when a streamer / content-creator gets “deplatformed” from whatever service and they had put all their eggs in that basket.
Yeah that’s what tends to happen when monopolies and oligopolies form. That streamer should be making money equally from a diversified pool of YouTube, patreon, Spotify and discord and at least 3 others. If they started earning more in one platform they should pull back to keep the income balanced
/S
Either they didn’t pay, they found an exploit, or, more likely, someone at Claude was reviewing their conversations. Take note, any business that cares about IP or confidentiality.
Just continue coding using the natural neural networks in the brains of those 60 employees until the problem has been resolved and/or another AI provider selected. It’s not like Claude invented coding. Sure, it’s a pretty useful tool. But it is possible to research obscure APIs and develop software manually.
That’s what happens when you are renting your very skills from a company. You’ll hone nothing and you’ll be happy.
but but ai better, ai future, we pay moni to all companiea Nd buy ai or we will be left without any growth - pleaz buy all ai- ai goof for making woled better place because it makes billionaires richer and they will definitely use that fo donate for charity
( blinking twice Elon musk and Mark Zuckerberg told me to say that, I’m being held at gunpoint)
Good twist on that one.
Oh no! How did this happen? …I mean, how exactly did this happen? Is there a tutorial on how other engineers at other companies can replicate this?
Just so they can avoid the same mistakes of course. Engineers hate mistakes.
This is the nightmare scenario for any team that built their whole workflow around a cloud API. No warning, no clear reason, no real support path. just a Google form and 60 people sitting on their hands.
The uncomfortable truth is that “terms of service” at this scale is just “we can pull the rug whenever.” Anthropic isn’t unique here either. OpenAI, Google, all of them have the same opaque enforcement problem. It’s a big part of why I’ve been building tools that run on local inference by default. Not because cloud is bad, but because your users shouldn’t be one vague policy complaint away from a complete outage.
Local gives you continuity even when the upstream disappears.
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Oh my God, my Eliza 2.0 chatbot is blocked. I’m experiencing withdrawals already, my productivity is down 76.8%.
Now this company can see which employee can actually still program, and which is just a “AI Prompt Engineer”.
Anthropic is like tough tiddies the US government is doing the same shit to us.
