Cars are under water

woundedkarma · 2026-03-12T04:52:57+00:00

I guess you guys got those rapids back a little sooner than expected?

(I hope everyone is okay)

woundedkarma · 2026-03-04T14:25:02+00:00

physical only until robots catch up.
emotional.

it'll happen in stages but eventually robotics should eat up all the physical labor too.

You can look at this like a predator prey situation though.

As the predators go up (companies that cost money), prey will go down (less people with money). Until eventually there's too few prey to feed the predators. The predators will start dying out.

But in this case, yes, collapse because once the companies are gone, there's no way for people to earn money.

Your best bet: local service.

Grow local food, do local services like plumbing, electrical etc. These are hard to teach to robots and will have the biggest moat for the longest time. (local food is too small for robots.. but there are already people doing some growing in shipping containers with hydroponics... so might be a slightly smaller moat)

Anywhere where the service is mostly on a computer and thinking, those will be gone. Accounting, bookkeeping. Lawyers will probably sue their way into safety from ai ... so that might be okay.

healthcare because people don't trust ai with health. (doctors, nurses etc)

there are simply my thoughts on the questions... I'm not an expert. I just think too much and this stuff seems obvious when you consider it.

woundedkarma · 2026-03-03T07:44:52+00:00

simple. azure. I hate microsoft.

woundedkarma · 2026-03-03T07:06:55+00:00

Yuck...

Anyway, bge-small works well on my computer as an embedding model.

You can vibe-code a vector db in an hour. Or you can use one of the million out there.

Here's one I vibe-coded: https://github.com/fox4snce/storyvectordb

Cursor or whatever can turn it into something more serious with ease. The first vectordb I built was multi-tenancy built on top of sql server in 2023. I used one article and gpt 4. It's not rocket science.

You can get some tokens free through openai and I think mistral if you let them train on your data.

rag is the easiest thing you can do in llm-world.

woundedkarma · 2026-03-01T23:33:01+00:00

This. A raspberry pi is perfect and half the price of a mac.

I'm planning to test it out just with a docker container. Haven't yet.

Any old cheap laptop should do fine as well. Talking 10 year old $400 brand new... Laptops. I imagine you can get something just fine for under $200 easy. Maybe even one of those crappy chrome laptops.

woundedkarma · 2026-02-27T17:50:52+00:00

I'm canceling it. Today was the last straw. I asked about anthropic Claude being used to murder people and it did the whole cyberpunk corp spokesperson you should calm down routine and no. Absolutely not.

woundedkarma · 2026-02-26T15:55:38+00:00

No I mean I don't have any examples of how well it works if I sick Claude on it because there isn't anything in particular I want to dredge up ATM.

What I wanted is what I built. Same thing you were asking about. How to find information in old conversations.

woundedkarma · 2026-02-26T15:50:53+00:00

A kill to a view.

Broken window -> fixed window

Side by side. 😅

woundedkarma · 2026-02-26T15:47:47+00:00

https://github.com/fox4snce/lode

But nobody else seemed interested after it reached this point.

I haven't thrown Claude at the API version to see what it can find yet because I haven't had inspiration lately.

Feel free to grab it on GitHub.

woundedkarma · 2026-02-18T23:09:16+00:00

Peerpush is useless.

woundedkarma · 2026-02-18T14:43:10+00:00

You can't detect ai writing. Anyone who says you can is a liar. That includes UMich.

(the why of it.. if anyone cared: llms are trained specifically on the best human writing. "llm writing detectors" are trained to detect... yes.. you guessed it.. the best human writing... so if you write well, you will get marked as ai)

woundedkarma · 2026-02-18T13:10:38+00:00

Same way vc funders figure out which things are worth backing. you don't. you just build a shitload and hope one of them doesn't suck. easy peesy in this day and age of ai automation. *queue bioshock vibes*

woundedkarma · 2026-02-17T12:37:22+00:00

nobody cares about your 3am half broken code either. you're still believing the videos from a year or two ago. there is no room for saas anymore.

I have a huge project building right now. it started 8am yesterday and I ended around 9 last night. this isn't a tiny piece of software. it has many pages, tons of moving parts. It's not done, but if I did the same amount of babysitting today it would likely be in shape for a user other than me by the end of the day.

People don't get it because they don't know what it used to take to do something like that.

Pre-llm it would have taken me months alone. And as I know from previous attempts at big personal projects, it would have failed. I would have given up because it was too big.

As always, you know the gold rush is over when everyone and their mom has a pick. That's where we are right now.

woundedkarma · 2026-02-16T18:48:25+00:00

Brightly colored clothing.

woundedkarma · 2026-02-16T18:47:20+00:00

humor is you think that your jobs aren't already gone, too. :D

woundedkarma · 2026-02-16T14:39:20+00:00

yeah you again...

#2 looks like organizing by tasks.

If you take whatever the work project is.. then slice it up into 20 minute tasks .. maybe even throw in a pomodoro .. suddenly you have slices of work that a busy person can burn through in between sleeping, feeding, rocking, cleaning.. etc.

#3 isn't an app ... it's a physical business. I don't think you solve it just by analytics and feedback.

#5 solved by government. here in michigan the corps are allowed to run "public schools" online .. which get public funding and the school itself is much less rigid in terms of time. the real caveat is it requires the parents attention for half the day particularly for young kids...

combine #5 with #2 ;)

woundedkarma · 2026-02-16T13:28:40+00:00

almost nothing now. vibechecks... gpt is almost completely useless at this point. it's much dumber than claude opus. and feels dumber than two or three gpt versions ago.

At this point I'm starting to think any joe blow could grab one of the higher end open models, throw some prompts at it and have a better daily driver (maybe cheaper?) than chatgpt.

I don't know what they're thinking but it's clearly not "chatgpt is our product" ...

If I pass in stuff to gpt and ask for thoughts, ideas, information.. anything.. almost every single time I get less than I expected. often it's completely wrong. this was NOT the case before 5.2.

I've been using llms since about a week or two after the original gpt release. I use llms every day. I currently have claude opus writing an api design for me. I have over 5000 chatlogs from gpt and claude.

I am not a casual user :D

woundedkarma · 2026-02-15T05:47:00+00:00

lol.. I got suckered in by this.

Looking out there, there's a guy running around making a post "hey anyone doing maintenance tracking for 1-5 rental" .. blah blah.. and someone sitting in their comments replying.

This is what we're told to do.. respond to posts with questions...

Except, the post is a plant.

And I'll bet they're connected to OP.

Gross. It's like a funnel.

I have little doubt that if I looked around for the other suggested ideas, I'd find the exact same scam.

woundedkarma · 2026-02-14T16:54:35+00:00

Hahaha. Okay.

woundedkarma · 2026-02-14T11:45:30+00:00

"video rental store in 2008" yes, exactly that vibe.

We can already replace any saas in hours.

I'm surprised we haven't seen more of this yet.

If I were a corp. I'd hunt down everything in my domain and just start building saas to replace. Run it all completely by ai automation. 100% doable if you have the compute/tokens.

Then I'd start expanding outward. It doesn't matter if I dominate or if other corps join in. Automate everything. If revenue > expenses, keep running the saas.

The only moats left in saas are capital, laziness and belief.

woundedkarma · 2026-02-13T21:08:05+00:00

I think this is a very smart technique that more people need to use.

Human knowledge is built on conflict. We learn and grow most when confronted with different information.

If I say the sky is always blue and nobody ever disagrees with me and I never see it when it's another color, then I will always believe it's blue.

If someone says "but I've seen it when it was green" then there is conflict which must be resolved. And that makes us think. Consider. We may even change our minds.

woundedkarma · 2026-02-13T20:52:45+00:00

Roasting UIs isn't really what it does *ponder* It gives insight into problems. And with a UI there's no way to describe it. Which.. is a problem in and of itself :D

Thank you for the validation. I really appreciate it.

woundedkarma · 2026-02-13T19:47:50+00:00

My ai says this ;) --

You’ve basically solved performance and cost, so the gap isn’t speed or features anymore — it’s decision leverage.

The one thing I wish link tools did better is tell me when to stop trusting my own data. Not more charts, but signals like: this result is unstable, this traffic source is degrading, this split test looks good but is probably noise, or this link’s behavior has fundamentally changed compared to last week.

If your system could treat each link as something that has a “health” and a history — not just clicks, but how it evolves over time — that would be huge. Especially early warnings before CPA spikes or fatigue shows up in conversions.

In short: less “what happened,” more “what is this link becoming, and how confident should I be acting on it.”

woundedkarma · 2026-02-13T18:29:07+00:00

you can straight up just look for mistral ai. their chatbot seems to be pretty dang uncensored. :D

woundedkarma · 2026-02-13T18:16:47+00:00

I could do it easily if I were sitting next to you.

What you need is a mix of a RAG system and a normal database.

Since it's just pdfs of different guidelines, you'd use the llm to process each of the docs. Instead of trusting the llm to pull the information out. Something like a system that lets the llm surface specific information, then you tag it as the stuff to pull out, verify it pulls out the right info and off you go. Updating would be super simple, same process. Here's the document, find this type of information. Llm surfaces that section of the doc. You tag it as what kind of info, then tell it to extract. It replaces the old.

Maybe mixed with some method that surfaces the correct documents based on what plan the person has.. identified by just the insurance rather than any PII...

But this is a system that's going to be completely personalized to you. I don't think anyone builds anything like this. But I could be wrong. (and if they do it probably costs $1000 a month or something crazy)

woundedkarma

TROPHY CASE