youtube has full CS degrees. arxiv has entire frontier research. reddit has every niche. twitter has best network. there’s enough knowledge and resources available on the internet today to feed every bit of your curiosity.

Knowing a guy who knows a guy is one of the most valuable things in the entire world.

some of my fav tech channels im subscribed to and why (random order): Hussein Nasser (backend topics nicely explained) PewDiePie(goat) Sriniously (backend and go) Computerphile (literally everything about programming) LaurieWired (fun tech documentary style vids) The Primeagen (yk him) Neetcode (dsa) Joma Tech (funny skits and shit) ForrestKnight (general software engineering) AnthonyGG (fav go dev) The Cherno (2nd fav cpp dev) Reducible (nice random algorithm explanations) Nic Barker (nice vids on some data structures and some random explanations) Akhil Sharma (cool backend projects) Kay Lack (very random, loved the vid about language and parsing) Phoebe Yu (why certain tech works so well kinda videos)

you can design any voice and add emotions

Whoever is doing the graphics for this company is on a heater 😮‍💨

Shape Exploration for AI Chat

The video lectures on the book "Programming Massively Parallel Processors" are available from the official YouTube channel. The lecture 04 about GPU architecture is quite interesting too. piped.video/playlist?list=PL…

ai engineer interview question

Hot take: DAgger (Ross 2011) should be the first paper you read to get into RL, instead of Sutton's book. Maybe also read scheduled sampling (Bengio 2015). And before RL, study supervised learning thoroughly.

Database stuff I’d study if I wanted to understand scaling deeply: Bookmark this. B+ Trees LSM Trees Write-Ahead Logging Two-Phase Commit Three-Phase Commit Read Replicas Leader-Follower Replication Partitioning Query Caching Secondary Indexes Vector Indexes (FAISS, HNSW) Distributed Joins Materialized Views Event Sourcing Change Data Capture

this guy literally put in 1000 hours of prompt engineering to nail down the 6 patterns that actually matter.

Dr Suarez Reinforces your Learning in C-- and CUDA x.com/i/broadcasts/1djxXWEQy…

This OCR model was probably the best one with the least hype Awesome release with both a serverless API and open models on @huggingface The org only has 85 followers on the hub ?!

Umar Jamil and this course ( Language Modeling from scratch from Stanford ) are the only reason why I started writing models from scratch and there's no one explaining it better than them. Just pure beauty 🤌 Also @kabir_j25 inspired me to do it !!

Training LLMs end to end is hard. Very excited to share our new blog (book?) that cover the full pipeline: pre-training, post-training and infra. 200+ pages of what worked, what didn’t, and how to make it run reliably huggingface.co/spaces/Huggin…

huge gold mine

There is a reason why System Design is hard for most software engineers. They don't understand how distributed systems work. If you want to learn the basics of distributed systems, read these 13 curated articles: ↓

This UCLA prof dropped the clearest crash course on how LLMs actually learn for free.