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Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,331 posts.
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Machine learning saves us $1.7M a year on document previews
Recently, we translated the predictive power of machine learning (ML) into $1.7 million a year in infrastructure cost savings by optimizing how Dropbox generates and caches document previews. Machine learning at Dropbox already powers commonly-used features such as search , file and folder suggestions , and OCR in…
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Machine Learning 101: What Is Regularization?
Posts and writings by Datanice
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Emu Video and Emu Edit, our latest generative AI research milestones
Today, we’re announcing new research into controlled image editing based solely on text instructions and a method for text-to-video generation based on diffusion models.
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The hippocampus as a 'predictive map'
Think about how you choose a route to work, where to move house, or even which move to make in a game like Go. All of these scenarios require you to estimate the likely future reward of your decision. This is tricky because the number of possible scenarios explodes as one peers farther and farther into the future…
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Getting DeepSeek-OCR working on an Nvidia Spark via brute force with Claude Code
DeepSeek released a new model yesterday: DeepSeek-OCR, a 6.6GB model fine-tuned specifically for OCR. They released it as model weights that run using PyTorch and CUDA. I got it running …
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Bill to block OpenAI's for-profit conversion gets mysteriously gutted
I hope the media will look into this
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When gradient descent is a kernel method
Suppose that we sample a large number N N N of independent random functions f i : R → R f_i \colon \R \to \R f i : R → R from a certain distribution F \Fc F and propose to solve a regression problem by choosing a linear combination f ˉ = ∑ i λ i f i . \bar{f} = \sum_i \lambda_i f_i. f ˉ = i ∑ λ i f i . For…
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What I learned by putting GitHub Copilot behind a MitM proxy
A look inside Copilot’s network traffic, harness, memory, and how context is becoming the product.
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The often-overlooked random forest kernel
Ryan Marcus, assistant professor at the University of Pennsylvania. Using machine learning to build the next generation of data systems.
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Bayesian Machine Learning Explained
So you know the Bayes rule. How does it relate to machine learning? It can be quite difficult to grasp how the puzzle pieces fit together - we know …
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The death of self-driving cars is greatly exaggerated
GM’s Cruise aims to turn self-driving into a billion-dollar business.
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ChatGPT – The Revolutionary Bullshit Parrot
ChatGPT seems convincing and wise but is neither wise nor hallucinatory—just bullshit. Here’s biased take on AI’s socalled revolution.
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Learning from Tay’s introduction
As many of you know by now, on Wednesday we launched a chatbot called Tay. We are deeply sorry for the unintended offensive and hurtful tweets from Tay, which do not represent who we are or what we stand for, nor how we designed Tay. Tay is now offline and we’ll look to bring Tay...
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The Claude Code Leak
What the accidental Claude Code source code leak tells us about the real value of code, product market fit, and why integration is what actually makes software great.
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Google I/O and the Coming AI Battles
Google A/I suggests that AI is a sustaining innovation for all of Big Tech; that means the real battle will be between incumbents and Big Tech on one side, and open source on the other.
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We're Joining OpenAI
Alex is the ultimate tool for iOS and Swift app development, empowering developers with AI for Xcode to streamline workflows, tackle complex coding challenges, and boost productivity. Discover what makes it an essential asset for modern app creation.
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I analyzed 180M jobs to see what jobs AI is replacing today
Last Updated: June 17, 2026What impact is AI having on the job market? Everyone has an opinion, but…
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Patterns and problems in emerging multi-agent systems
We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.
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Dynamic Workflows in Claude Code
Dynamic workflows in Claude Code let Claude tackle the most challenging tasks by executing across 10s to 100s of parallel subagents, and checking its work before anything reaches you.
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Who Invented Backpropagation?
Its modern version (the reverse mode of automatic differentiation) was first published in 1970 by Seppo Linnainmaa
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The Human Is the Loop
After a few weeks away from AI, I see my usage wasn't always productive or healthy.
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The Camera Is the Lidar
It was clear when Ouster started developing the OS-1 three years ago that deep learning research for cameras was outpacing lidar research…
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Announcing GPT-NeoX-20B
Announcing GPT-NeoX-20B, a 20 billion parameter model trained in collaboration with CoreWeave.
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Game Theory Reveals the Future of Deep Learning
If you’ve been following my articles up to now, you’ll begin to perceive, what’s apparent to many advanced practitioners of Deep Learning…
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What Is a Knowledge Graph?
What is a knowledge graph? Learn about nodes, relationships, organizing principles, and ontologies, which comprise a knowledge graph.
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Claude Tips for 3D Work
Lessons learned from piloting in the third dimension
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Accessing Llama 2 from the command-line with the LLM-replicate plugin
The big news today is Llama 2, the new openly licensed Large Language Model from Meta AI. It’s a really big deal: Llama 2 is available for free for research …
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