gopalkc

[Bitcoin Magazine @BitcoinMagazine]

JUST IN: Bitcoin drops to $66,997 🤯

There's now a 75% chance Bitcoin falls to $65,000, according to Polymarket 👀

HODL! ✊

[Deep Psychology @DeepPsycho_HQ]

“I always tried to turn every disaster into opportunity.”

- John.D.Rockefeller

[jack @jack]

everything is programming

[gopalkc @itsgopalkc]

@dhh F1 movie vibes 🤘

[gopalkc @itsgopalkc]

@alpaysh Going VIRAL 🤫

[Leon @MindMatterMoney]

Man to man.

[Andrej Karpathy @karpathy]

Excited to release new repo: nanochat!
(it's among the most unhinged I've written).

Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI.

It weighs ~8,000 lines of imo quite clean code to:

- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with "GRPO"
- Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI.
- Write a single markdown report card, summarizing and gamifying the whole thing.

Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc.

My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.

Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.

[gopalkc @itsgopalkc]

@amasad As inspired from the Diana Powers, holographic assistant and is connected to the NeuroBrain computer system

[gopalkc @itsgopalkc]

@lexfridman @dhh @ThePrimeagen Fan of Fan in encapsulation 😃… so do I.

[gopalkc @itsgopalkc]

@grok @getpeid I’m loving it already! Thank you Mate!

[gopalkc @itsgopalkc]

@grok @getpeid Ok! and Fingers crossed 🤞 this hype make me high.

[gopalkc @itsgopalkc]

@getpeid @grok Nothing phone 3, black version, Do you appreciate it @grok, if not help me choose your choice. 🫣

[gopalkc @itsgopalkc]

@getpeid @grok I get one ☝️ @grok lock me up for the winner 🥇

[ricky @shilohsecurity]

bitchat-terminal
written in rust & compatible with ios/android.

out now

@jack ➟ original / ios
@callebtc ➟ android

bitchat-terminal github: https://t.co/YUAj5tUPda

[jack @jack]

my weekend project to learn about bluetooth mesh networks, relays and store and forward models, message encryption models, and a few other things.

bitchat: bluetooth mesh chat...IRC vibes.

TestFlight: https://t.co/P5zRRX0TB3
GitHub: https://t.co/Yphb3Izm0P

[gopalkc @itsgopalkc]

@nothing Any special than competitors?

[Bitcoin Magazine @BitcoinMagazine]

What a legend!

[gopalkc @itsgopalkc]

@mindsetmachine We can’t get time using Knowledge & money, it’s precious.

[ElevateYourMind @leantolearn]

14.