The Best Articles, Videos, and Newsletters in Machine Learning
The most useful articles, videos, and newsletters in Machine Learning from around the web, curated by thought leaders and our community.
Refind focuses on timeless pieces and updates the list whenever new, must-read articles or videos are discovered.
Top 5 Machine Learning Articles
At a glance: these are the articles that have been most read, shared, and saved in Machine Learning by Refind users in 2026 so far.
Videos
Watch a video to get a quick overview.
How to write good AI prompts
(Getting started with Notion AI 4 of 5) Learn how to generate text from scratch using Notion AI, with a focus on writing good prompts and refining output.Get...
ANYmal can do parkour and walk across rubble
The quadrupedal robot ANYmal went back to school and has learned a lot. ETH Zurich researchers used machine learning to teach it new skills: the robot can no...
What is ...?
New to Machine Learning? These articles make an excellent introduction.
Free AI for Beginners Course
Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.
«The aptly-named Artificial Intelligence for Beginners is put together by Microsoft Azure Cloud Advocates, and consists of a 12 week, 24 lesson curriculum designed to introduce learners to the wonderful world of AI.»
Learn Julia For Beginners – The Future Programming Language of Data Science and Machine Learning Explained
Julia is a high-level, dynamic programming language, designed to give users the speed of C/C++ while remaining as easy to use as Python. This means that developers can solve problems faster and more…
«So now the function is defined to take in only a string. Let us test this out to make sure we can only call the function with a string value»
What is reinforcement learning? How AI trains itself
Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.
A visual introduction to machine learning
What is machine learning? See how it works with our animated data visualization.
What is it to be Bayesian? The (pretty simple) math modelling behind a Big Data buzzword
If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet…
How to ...?
How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist
What do you want to predict, and do you have the data?
«What are some outcomes worth guessing? And do we have the data necessary to do supervised learning?»
How to learn PyTorch: A resources guide for developers
If you want to learn PyTorch, check out these books, courses, tutorials, videos, and websites about the open source machine learning library.
Trending
These links are currently making the rounds in Machine Learning on Refind.
Scientists use machine learning to control specific brain circuits
A Japanese research team has developed YORU, an AI tool that detects animal social behaviors as distinct visual objects. This open-source software allows biologists to trigger real-time neural…
Anthropic didn’t want us to know that they were destroying millions of books to feed their software.
Companies making machine learning and generative software aren’t just metaphorically ripping off books. In at least one case, they’re rather literally shredding millions of physical books to …
Machine learning identifies brain patterns that predict antidepressant success
A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, potentially ending the trial-and-error approach to mental health treatment.
Artificial agents can help us understand social recognition
Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
«Across species, social recognition is the first computation that enables all subsequent social behavior.»
Short Articles
Short on time? Check out these useful short articles in Machine Learning—all under 10 minutes.
The decade of centicorns: why scaling to $100B is the new normal
The decade of centicorns: why scaling to $100B is the new normal Ideas / Points…
Google DeepMind CEO Demis Hassabis on AGI and AI in the Military
TIME spoke with Google DeepMind CEO Demis Hassabis, who was on the 2025 TIME100 list.
Peeking inside AI brains: Machines learn like us
New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how brains and algorithms form concepts and make sense of…
«convexity was applied to cognitive science by Peter Gärdenfors who proposed that our brains form conceptual spaces where related ideas cluster.»
OpenAI’s startup empire: The companies backed by its venture fund
Since its founding in 2021, OpenAI Startup Fund has invested in over a dozen startups, including many of the hottest startups in AI.
OpenAI wants to take over your browser
Welcome back to Week in Review. This week we’re diving into OpenAI’s newly released AI agent, called Operator. We also look at where TikTok stands after
Long Articles
These are some of the most-read long-form articles in Machine Learning.
One big question hanging over OpenAI’s transition to for-profit
OpenAI’s transition isn’t what you think. The stakes are tens of billions of dollars — and the future of AI.
Inside Elon Musk’s messy breakup with OpenAI
Musk cut off funding and departed the board in 2018.
Spinning Data into Thought
How Computers Think: Introduction
Consciousness: New Concepts and Neural Networks
The definition of consciousness remains a difficult issue that requires urgent understanding and resolution. Currently, consciousness research is an intensely focused area of neuroscience. However, to…
Thought Leaders
We monitor hundreds of thought leaders, influencers, and newsletters in Machine Learning, including:
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Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful.
How does Refind curate?
It’s a mix of human and algorithmic curation, following a number of steps:
- We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
- In addition, our users save links from around the web using our Save buttons and our extensions.
- Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
- Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
- Our algorithm uses these internal signals to refine the selection.
- In addition, we have expert curators who manually curate niche topics.
The result: lists of the best and most useful articles on hundreds of topics.
How does Refind detect «timeless» pieces?
We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.
How many sources does Refind monitor?
We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
Who are the thought leaders in Machine Learning?
We follow dozens of thought leaders in Machine Learning, including Andrew Ng, Hilary Mason, Demis Hassabis, The Gradient, OpenAI.
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Keep Learning
Learn something new, guided by experts. Deep Dives are carefully hand-curated series of time-tested articles and videos from around the web.
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