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My Favorite Deep Learning Papers of 2017
Here are five deep learning papers I felt rose above the rest in 2017.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
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Just say no to OpenAI and Anthropic
I recently read End Times Fascism and the Fight for the Living World by Naomi Klein and Astra Taylor. It's an excellent book and I highly recommend that everyone read it. Tech oligarchs make up an important component of the end-times-fascist coalition. One thing that stood out
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Lessons from the PG&E outage
At Waymo, our mission is to be the world’s most trusted driver. We know trust is built through consistent behavior over time—earned through every mile we drive and every interaction we have with the community. This past Saturday, as a widespread PG&E outage cut power to nearly one-third of San Francisco, our service…
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Stability AI Launches Stable Diffusion XL 0.9
Discover SDXL 0.9, Stability AI's cutting-edge release in the Stable Diffusion suite. Unleashing remarkable image and composition precision, this upgrade revolutionizes generative AI imagery. From hyper-realistic media production to design and industrial advancements, explore the limitless possibili
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Who does your assistant serve?
ChatGPT and its consequences have been a disaster for the human race.
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Cf: The Agentic CLI for the Cloudflare API
We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration. We are also open-sourcing Forge, our internal SDK generator.
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Facts will not save you – AI, history and Soviet sci-fi
AI, history, and Soviet sci-fi
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Compressing Images with Neural Networks
An introduction to learned image compression using neural networks.
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Building Boba AI: Lessons learnt in building an LLM-powered application
A series of patterns for building an AI co-pilot application.
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Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models
Why the HJB is Bellman's equation in continuous time, why continuous time matters, and how to solve the resulting control problem with neural policy iteration.
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Who needs a sneaker bot when AI can hallucinate a win for you?
AI tried to take launch results into their own... hands? And it caused some heartbreak.
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Solving the Rubik’s cube with a robot hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic Domain Randomization (ADR). The system can handle situations it…
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How we made a text-to-speech model respond in sub-50 ms
10 RPS with p95 TTFA under 50 ms on a single H100: how we optimized Qwen3-TTS serving.
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Notes on training BERT from scratch on an 8GB consumer GPU
I trained a BERT model (Devlin et al, 2019) from scratch on my desktop PC (which has a Nvidia 3060 Ti 8GB GPU). The model architecture, tokenizer, and trainer all came from Hugging Face libraries, and my contribution was mainly setting up the code, setting up the data (~20GB uncompressed text), and leaving my computer…
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How does Shazam work?
Explore how Shazam and song identification work through interactive visualizations: spectrograms, constellation maps, hash fingerprints, and time-offset matching.
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SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Large Language Models (LLMs) have transformed natural language processing, but face significant challenges in widespread deployment due to…
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The super effectiveness of Pokémon embeddings using only raw JSON and images
Embeddings encourage engineers to go full YOLO because it’s actually rewarding to do so!
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K-Nearest Neighbors from Scratch
Using JavaScript, we implement the k-Nearest Neighbors algorithm from the bottom up.
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Gaussian Processes from Scratch (2019)
This post explores some concepts behind Gaussian processes, such as stochastic processes and the kernel function. We will build up deeper understanding of Gaussian process regression by implementing them from scratch using Python and NumPy.
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The singularity is close?
Or "Why we're all in denial about the robot apocalypse"
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Should we use AI and LLMs for Christian apologetics? (2024)
The reasons why I don’t give permission for material I’ve written to be used as training data for an LLM chatbot designed to do Christian apologetics
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What ChatGPT can't do
Mimicry but not thought, sophistry but not understanding
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Georgia Tech, Meta create open dataset to advance solutions for carbon capture
To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.