How to write the Introduction? As a junior student, writing the introduction of a research paper is arguably the most daunting part of paper writing. 😱 Here is a simple template I find useful: 3 Figures 🖼️ + 5 Questions 🤔

This is an incredible progress on image enhancement!

Another impressive result for Gen AI. This would make creating characters in games so simple!

Recently, I decided I wanted to read every page of one of my favorite websites, Our World in Data. I’m about halfway now. Here are the 30 most surprising things I’ve learned about the world so far! 🧵

my AI-powered career exploration app (Wanderer) has been experiencing explosive growth and my GPT-4 costs were starting to pile up ($100+ a day 💀) here's the playbook I used to lower my AI costs by 99%, while also decreasing latency and maintaining quality: 1. start with the

I've generated 10,000+ images with DALL-E 3. My Logo Creator GPT is also the #1 GPT under DALL-E. Here are the 10 most useful DALL-E prompting tips I've learnt:

TikTok presents Depth Anything Unleashing the Power of Large-Scale Unlabeled Data paper page: huggingface.co/papers/2401.10… demo: huggingface.co/spaces/LiheYou… Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth

i never believe recorded demos so I reached out to the @cognition team for early access to try for myself and got it! will be sharing my unfiltered opinions on #devin here. 🧵🧵 1/n

I apologize but won't be amplifying startups whose mission is to fully replace software engineers with "AI devs." It's clear why VCs & investors love this idea; and why founders as well. Imagine how much money they could make if they succeed! I hate the idea of that future.

# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions

OpenAI + Figure conversations with humans, on end-to-end neural networks: → OpenAI is providing visual reasoning & language understanding → Figure's neural networks are delivering fast, low level, dexterous robot actions (thread below)

Returning from an experimental ~2 week detox from the internet. Main takeaway is that I didn't realize how unsettled the mind can get when over-stimulating on problems/information (like a stirred liquid), and ~2 weeks is enough to settle into a lot more zen state. I'm struck by

8 years ago, Jensen Huang hand delivered to OpenAI, the first AI-focussed GPU made by Nvidia. This moment marks the end of Intel's dominance. It wasn't luck, it was deeper. Jensen has said publicly that Nvidia 'did it' by religiously following 4 core values 👇🏻

1/ I just finished a 2.5 week trip through China today, my first visit in about a decade. I was there for family reasons, but it also happened to be my first time in the country as a tech industry observer My amateur travel journal on the China tech market -

This is fast. Chrome running Gemini locally on my laptop. 2 lines of code.

🥳 Today we're excited to officially launch LightlyTrain — a self-supervised pretraining framework that helps you build better vision models without any labels. Try it Free: lnkd.in/en78gQiC Read more: lnkd.in/e5yvuSKG Star us on Github: lnkd.in/eEXfTqr8