I can’t tell if you’re actually asking or if your question was rhetorical but I’ll go ahead and answer. This is over simplified but this is basically what is being reported:

The RAM companies know how much RAM each of their factories can make in a given hour, day, month, year, etc.

To keep math simple, let’s say the RAM company owns 1 factory. They can make 100 chips in that factory per year. In January 2026, Company A orders 50 chips, Company B orders 50 chips, Company C orders 50 chips, and Company D orders 50 chips. It’ll take 2 years to complete those orders. Maybe each company gets some chips every month for 2 years or maybe it’s first come first serve. Regardless, 2 years. The factories are at max capacity, they physically can’t make them faster.

The only way to make more chips is to build another factory which takes time. But what if you make a lot of money overcharging customers? What if you think AI might be a bubble and demand will go down? Speaking as a company, building a new factory might not be worth the investment.

Sure, all articles should be read with skepticism.

It’s not a huge logical leap to go from identifying faces in photos at some confidence level to identifying some diseases in imaging at some confidence level. Your first link mostly talks about the human factor and specifically states that with bad ai models, the radiologist is less effective but with good ai models, the radiologist is more effective which suggests the technology works. That link isn’t commenting on the technology, it’s commenting on the human using it.

Same source claiming the tech does work: Source1 Source2

Your last link is talking about people being able to forge medical documents. To be honest, I don’t get the point you’re trying to make. I agree that, like with most technologies, people can use AI nefariously. However, generating a photo with AI to forge a medical document and using AI as an assistive tool to scan medical imaging for diseases are two different applications.

Those articles you’re reading are written from the press releases of for-profit companies

Sorry FBI, you’ve hacked into the wrong mainframe

Articles come out all the time that mention AI being able to detect different diseases months or years before symptoms present. It can be trained to sift through lifetimes worth of data and recognize patterns. There’s no way that’s not useful.

The wider social, economic, and environmental impacts are definitely issues that should be looked into but the tech itself is a marvel. The AI hate, I think, mostly comes down to chatbots and the companies pushing them.

Corporate AI as a service is cancer. But I don’t completely discount locally hosted AI for certain tasks. If you know it’s capabilities and trade-offs, it can be used as one of many tools in a toolbox.

For example, vibe coding entire projects is shit but I don’t think there’s anything wrong with a locally hosted AI spitting out ~6 lines of boiler plate code that you can edit for your needs. It’s a huge time saver when you don’t code for a living but enjoy it as a hobby. I don’t have unlimited time for hobbies and my local chatbot does let me accomplish some tasks faster.

Edit: for those of you who disagree, I’m curious to know at what scope you’re thinking about AI at. Are you just thinking about the tech and/or larger social consequences and/or environmental impacts etc. If we’re just talking about the tech, the tech is amazing and has its uses but if you’re thinking about it more broadly then I get it.

I do it so infrequently that I just do it manually. Sometimes my friends send too many YouTube links in our group chat. I care enough to respond to them but not enough to watch them all if it’s going to take up a good chunk of my day to do so.

I use yt-dlp to download the audio from a YouTube video and then use MacWhisper to transcribe, and summarize the audio. Not sure what a windows or linux equivalent of MacWhisper would be

I run Qwen2.5 Coder 14B locally for boiler plate stuff that I then edit myself and it’s been great. I write code irregularly so using an LLM is nice when I know what I want to do, how to logically do it, but I’ve since forgotten the syntax.

Edit: I figured this would be a little contentious. If you write scripts so often that you feel like it’s worth it to invest time in becoming better at them, then by all means. This is just a hobby for me. As much as I’d love to do so, investing time in getting better at scripting is unfortunately a waste.

I have 4x 8TB WD Red Plus drives in my NAS. I started with 2 and added 2 later. 1 of the original 2 failed a little under the 4 year mark. I replaced it with another 8TB WD Red Plus drive. I’m happy with them. I wouldn’t say they get particularly loud unless I’m writing a bunch of data to them.

SMART Power_On_Hours (converted to years):

sda = 5.42
sdb = 1.58
sdc = 3.85
sdd = 3.85

Damn…I feel bad doing this but maybe you can cut your losses now and invest time in another project :/

https://immich.app/

I’ve been pretty happy with Kavita as the server. You can read the books directly from the web app but if you think you might end up in an area with no signal, you can download the book from Kavita, and use a separate eReader app to read the file locally.

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And file away your scanned papers separately

This^. No matter how many layers of backups I have for paperless, I’m still keeping the most important physical documents in a file cabinet.

I’m not sure exactly what you are looking for but here is my workflow:

1. Laptop - This is where I do most of the uploading to paperless. When I get an important document over email, buy something online that’s expensive enough for me to want to save the receipt, or buy something that comes with a digital manual, I download the PDF and upload the document to paperless in the browser.

2. Phone - I have an iPhone and use Swift Paperless to upload physical mail, physical receipts, or physical manuals I can’t find online.

I know I can set up Paperless to pull documents from my email automatically but it’s not very good at guessing the tags and correspondents in my experience, and because it’s not good at guessing the correspondents and tags, I have to manually edit the documents anyway so I might as well upload them myself. I’ve just got into the habit of getting a document, knowing I might want to view it later, and upload it right then or later that day. The built in OCR works great.

Edit: Oh, my behavior has changed a little because of paperless too. I now ask everyone for a receipt, email confirmations when talking with customer service, or if I’m dealing with a business that only hands me paper documents, I ask them to email them to me too. I’m pretty annoying about it. Basically, if the transaction is important enough to me, it doesn’t end until I get proof that I can upload to paperless.

I have a NAS with a couple of SSDs configured in a ZFS mirror that backs up to a Raid Z2 storage pool on the same NAS. Again, on that NAS, I run Paperless-ngx in a docker container. Finally, I use the iOS app Swift Paperless to upload documents to Paperless-ngx. All done over Tailscale.

My load bearing NAS has a lot of redundancy but no offsite backups so I still keep some important documents in the cloud. I’m saving up for another NAS that I can keep at a family members house but prices are insane right now :/

If you can follow the 3-2-1 storage rule without using the cloud, that’s awesome. However, the upfront cost can be expensive depending on how much you are storing. Just do the best you can using whatever you have available to you, even if that means using iCloud as part of your setup.

I agree. I’ve got a 9060XT 16GB card running some version of gpt-oss:20b. I understand how to program more or less but I do it so infrequently that I forget the syntax of whatever language I’m working in. It’s ability to spit out boiler plate code that I can edit for my needs has been a huge time saver and I’m extremely happy with my setup.

This isn’t exactly what you asked for but just in case it might interest you; I ordered this Aoostar WTR Pro recently to replace an Odroid that died on me. It has an intel N150 and lets you install whatever OS you want. I’m pretty happy with it so far.

Paperless-ngx - it allows you to upload important documents like receipts, contracts, etc. and uses OCR so you can search them

2018 - adds digital wellbeing features to help you disengage from your device

2025 - makes the entire interface more engaging to help keep you engaged

It looks nice. It’s like having a casino in your pocket.

Have you seen the price of McDonalds recently? I’d rather miss a meal than get scammed like that. Fuck them.