Streaming Now - On this week's episode of #NewsGuru, Vikram Chandra talks to Prof. Vidyasagar as they decode the 'Epsilon Theory'. Are #COVID19 cases on decline because of the lockdown or vaccination or is it to do with immunity? #COVIDSecondWave x.com/i/broadcasts/1…

San Francisco wants no part of this weekends heatwave

When can we all grow up and stop referring to it as “binge watched” and just call it “watched”?

Best thing I have ever seen

Did you ever want to learn how to read ROC curves? 📈🤔 This is something you will encounter a lot when analyzing the performance of machine learning models. Let me help you understand them 👇

In a microcosm full of engine fiends, Vishy Anand's in-depth analysis of the Carlsen versus Nepomniachtchi match is likely to go down in broadcast history as a genuine masterclass, executed with patience, eloquence, and without any computerized suggestions.

🎓 Mathematics for Machine Learning When I started to learn ML, there weren't too many great resources teaching maths-related bits. Luckily for new students, this recent book provides a good review of the mathematics for ML. mml-book.github.io

15 Must Read Books That Will Change Your Life : 1. Atomic Habits

Here is my conversation with Kunal Shah on understanding the value of something, core human motivations, shame, scaling a business, value creation, creating emotional connections, decision-making, high trust vs. low trust societies, ... Listen and Learn: fs.blog/knowledge-proj…

Big news: we're launching a new course in <4 weeks. "From Deep Learning Foundations to Stable Diffusion". Bigger news: for this course, we're teaming up with Stability AI! AFAIK, this is the 1st course that covers every method used in Stable Diffusion. fast.ai/posts/part2-20…

A woodpecker's tongue is so long that it wraps around its skull to protect its brain from over 1000g of acceleration when it's hammering away [read more: buff.ly/2KlKivH, buff.ly/3qZfyHk]

Verstappen not letting Perez through at the end

Let's play chess with GPT-4V! 🧵

[75min talk] i finally recorded this lecture I gave two weeks ago because people kept asking me for a video so here it is, enjoy "The Little guide to building Large Language Models in 2024" tried to keep it short and comprehensive – focusing on concepts that are crucial for

Team India creates history, wins First ever Team Gold Medal in Chess Olympiad The Indian Open Team created history in Budapest, as the country won their first ever Team Gold Medal in the Chess Olympiad. What a huge moment for the Nation! We are proud of the entire team - GMs D

New open source reasoning model! Huginn-3.5B reasons implicitly in latent space 🧠 Unlike O1 and R1, latent reasoning doesn’t need special chain-of-thought training data, and doesn't produce extra CoT tokens at test time. We trained on 800B tokens 👇

What if I told you that, without needing any task specific fine tuning, the encoder-only ModernBERT 0.3b beats Qwen 0.5b at MMLU? This *will* kick off a whole new revolution in language models.

Gemini 2.0 Flash is so good at document processing that you can pretty much drop in replace entire OCR workflows with a single API call! philschmid.de/gemini-pdf-to-…

Giving your models more time to think before prediction, like via smart decoding, chain-of-thoughts reasoning, latent thoughts, etc, turns out to be quite effective for unblocking the next level of intelligence. New post is here :) “Why we think”: lilianweng.github.io/posts/2025-05-…