Nuttakit K.

Bro. Close it. This is not a hack demo. More of a law-breaking speed run. - Crypto payment = banned. up to 3 years jail + fine. - AML law can freeze bank accounts. - promote unlicensed crypto in Thailand or target Thai = gg Be careful out there. Thai law is no joke. Yeah, they might struggle to take down a smart contract, trace ZKPs, freeze non-fiat value capture, or chase anon devs. But pls don't lol. 👀

🎧 Recorded a new morning walk this morning, hard one to share because I'm sure people will want to roast me for it but have been transparent up until now so publishing it anyways.

I just finished chapter 10 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 9 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 7 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 6 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

Helo world @windscribecom

I just finished chapter 5 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just completed all 12 days of Advent of Code 2025! adventofcode.com #AdventOfCode

I just finished chapter 4 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 3 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 2 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

I just finished chapter 1 in @savingsatoshi! Code your way through the mysteries of bitcoin at savingsatoshi.com

Mock TGAT 3 ที่ทุกคนรอคอย (Part 3 & 4) ✅ เฉลยละเอียดทุกข้อ ทุกตัวเลือก ✅ การบริหารจัดการอารมณ์ ✅ อนุสัญญา ✅ การแยกขยะ ✅ การบริการสังคม ✅ จิตสำนึกต่อสิ่งแวดล้อม ✅ สร้างสรรค์เพื่อประโยชน์ท้องถิ่น ฟรี! รวม 250 ข้อ คลิกเลย >> examer.app/explore/tgat3

ถ้าชอบอย่าลืม retweet & follow @examer_app กันน้าาาาา 💕💕💕

TGAT 1 ยังไม่แม่น? 🤯 อย่ารอช้า! มาฝึกที่ examer.app ✅ เฉลยละเอียดทุกข้อ ✅ AI ช่วยตอบทุกคำถาม ✅ Mock Conversation, Reading ✅ แนวข้อสอบปี 68, 66 ฟรี! คลิกเลย >> examer.app/explore/tgat1 #tgat1 #dek69

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.

Here's what our team is working on so far at ETHOnline 2025 hosted by @ethglobal: 💎 SynthX Protocol – DeFi platform for synthetic assets of unlisted companies. AI oracle-powered pricing.