Andrej Karpathy literally revealed why "perfect grades" are a waste of precious time:

+1. My biggest regret at Berkeley is spending way too much time trying to maintain a 4.0 GPA (and my fellow bears would understand how unnecessarily painful that is). Looking back I definitely should’ve instead spend these time hanging out with friends, exploring/developing

girl i wanna learn mandarin but idk where to start can someone send me their good resources

tl;dr: don't be this guy

@shyam_tawli that's the reason why i left watching tutorials and started following docs and writing core ideas on paper. when things get overwhelmed i watch short videos to get some clarity. it did helped me a lot.

don't be stuck at tutorial hell

> hiring interns > tell them to read 2 papers on open weight models > start interview > ask them to summarize the papers > incoherent answer > ask instead to briefly explain any model they've used > 40 sec pause > name a model released on huggingface literally yesterday

She predicted: • The Deep Learning revolution (2012) • AI's blindness to the physical world (2018) • The shift to world models (2024) Now Fei-Fei Li revealed the 5 next AI waves reshaping every physical industry. Here's what you should know (& how to position yourself): 🧵

People have been asking why don't I use Mathematica. Let me make a thread to explain why 1/n

Sebagai yang masuk Job Market Februari akhir ini, gw mau sharing retrospeksi soal pengalaman Job hunting di tahun 2025 ini, saat pencari kerja jauh lebih banyak dari lowongan kerja. gw bakal coba bahas dari sisi struktural, terus individual. Alasannya, 4 ini 👇 *cek ALT (1/6)

@m00ncherry Tips memilih bootcamp worth atau ga mah gampang bgt - Buka linkedin - Masukin keyword bootcamp brand/judulnya - Cek mereka masih open to work ga after join? - Mereka kerja dimana, posisi apa after join? - Last project apa dari bootcamp? - Kalo bisa reach, tanya testi

@Anthony_Bonato Yep, it's not bad, but topology is also part of the data revolution

I told a student that calculus is the math of the industrial revolution and discrete mathematics is the math of the data revolution. Then I thought it would be cool to post that so here we are

@Anthony_Bonato That actually lands well. Calculus grew out of machines, motion, and continuous change engines, fields, and factories, while discrete mathematics fits a world of switches, algorithms, networks, and data. Framing it that way helps students see math not as abstract torture, but

More papers should include a “Things We Tried That Didn’t Work” section. DeepSeek R1 does this too, and it’s incredibly valuable.

Wondering how to attend an ML conference the right way? ahead of NeurIPS 2025 (30k attendees!) here are ten pro tips: 1. Your main goals: (i) meet people (ii) regain excitement about work (iii) learn things – in that order. 2. Make a list of papers you like

A brilliant, interactive tutorial by the University of Sheffield on how to do a literature review: Covers: What is a literature review? Finding information sources Organising your sources Synthesising your sources Writing your review Link: https://t.co/ksI4CC0Dms

If she understands the math behind diffusion, tell her to apply to work at Extropic, then marry her

Starting a PhD With Little Research Experience? How To Survive Your First Year in graduate school. Read below. Many PhD students begin their programs with minimal research experience. This is more common than people think. Some come from: - coursework-heavy master’s