1/ So the other day, a thread was started on here that proposed that @binance and their derivatives are potentially a major catalyst for the printing of $USDT.
Many laughed & dismissed this, so this thread will prove those people wrong (empirically) with verifiable fact.
GPU shortage is worse than ever.
H100s cost more today than they did 3 years ago, and you cannot get them on-demand.
The big AI labs have locked up most of the supply for years. I’m worried university researchers and individual developers simply won’t be able to get GPUs.
A guy in Karachi rebuilt GPT-4 in one Jupyter notebook.
OpenAI spent over $100 million to train the real one. He put the entire recipe on GitHub for free.
His README still says "I am looking for a PhD position in AI."
It's called Train LLM From Scratch. A working guide that walks you through building your own 2-billion-parameter language model on a single GPU.
OpenAI vs this repo:
- Training cost: $100M+ → Single A100 or RTX 4090 (you can rent for $1/hr)
- Code access: Closed → Open, MIT license
- Data: Secret → The Pile (open dataset, 825GB)
- Walkthrough: None → Every line of code explained, top to bottom
- Output quality: GPT-4 → A small model that writes broken English (but it's yours)
The whole thing fits in one notebook. No paid course. No paywall. No "Pro" tier.
What you actually learn:
→ How a transformer works, end to end
→ How to download and tokenize the Pile dataset
→ How to build multi-head attention from scratch in PyTorch
→ How to train on a single GPU without running out of memory
→ How to generate text from your trained model
→ How to scale from 13 million parameters to 2 billion
774 stars. 135 forks. MIT license. The full theory paper-to-code in one place.
One honest note: this is a learning repo, not a production model. Your output will be small and rough. But you will understand exactly how GPT-4 works after reading it.
Fareed Khan built this from Karachi, Pakistan. He has 1,780 GitHub followers. He's still looking for a PhD position. The recipe to billion-dollar AI is sitting on his profile, free.
This is what open AI was supposed to mean.
(Link in the comments)
@moojache@Katelyn_Caralle When you have the intelligence of a tiny chimp though it's probably difficult to grasp that isolated events broadcast on your curated social media feed are not reflective of the overall state of affairs in America. #Durr#DunceCapDufus
Last week, I spent 6 hours with Claude wiping my digital footprint.
Result: 47 data broker listings removed. 12 dead accounts deleted. 3 search results suppressed.
How I did it, step by step. Thread.
@SunFoxx_@adxtyahq They may not be attempting to harvest credentials or leverage prompt injection. But you're a fool if you think they aren't logging and storing all of your prompts for various purposes. As AI progresses, genuine human generated content starts being worth its weight in value
That cheap Claude API is stealing everything on your machine.
Chinese "transfer stations" sell Claude at 70-90% off.
The trick: "One Fish, Three Meals"
- Split corporate accounts across users
- Sell "premium" while routing to cheaper models
- Record every prompt to train domestic AI
That third part is the danger.
With a chatbot, they get your conversation.
With Claude Code, they get your repo, credentials, architecture, and customer data.
- Route an agent through an unverified proxy and you're handing a stranger your entire data stream.
- Could they inject malicious instructions?
- Scan for `.env` files?
- Harvest AWS credentials?
That's the real question.
90% savings isn't a bargain if it costs your code, prompts, security and infrastructure.
Use AI aggressively.
Just don't plug agentic tools into shady endpoints because they're cheap.
By the way that's one of the reasons why Claude is asking for KYC and making so much mess to real consumers now.
@adxtyahq@notjazii This doesn't really answer their question. This just tells them where to go to obtain said API access but doesn't tell folks how the providers are able to provide this service to others at such a low cost.
@Earth_1729@adxtyahq They more than likely are buying a regular membership and then spoofing the user agent so that it appears theyre logged in a regular session. Proxy requests via multiple user sessions behind diff IPs / proxy connections and then serve back the responses to the proper user.
@theGrio You all ceased to provide services to Baltimore. Now you're just extracting resources from the city while refusing to actually provide decent services to people in this region. Bloodsucking leeches like the ones that run this organization should be hung or executed.