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Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Posted by Tali Dekel, Research Scientist and Forrester Cole, Software Engineer, Machine Perception The human visual system has a remarkable abili...
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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Creating Shazam in Java (2010)
A couple of days ago I encountered this article: How Shazam WorksThis got me interested in how a program like Shazam works… And more importantly, how hard is...
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The Illustrated GPT-2: Visualizing Transformer Language Models (2019)
Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) Translations: Simplified Chinese, French, Korean, Russian, Turkish This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays…
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ChatGPT's Chess Elo is 1400
It shouldn’t be surprising that ChatGPT can play chess.
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Where does next-token prediction leave us?
Your favourite ROP gadget
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Research acceleration: The view inside OpenAI
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
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ChatGPT is now finding bugs in databases
Engineering notes and product news from the PhoenixAI team — real-time analytics, AI agent workloads, lakehouse architecture, and what we're shipping.
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Anti-AI fonts are useless and harmful
Trying to obfuscate the web is a bad, pointless idea
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Furiosa: 3.5x efficiency over H100s
Meet the RNGD Server, delivering scalable, energy-efficient AI inference at data center scale with FuriosaAI’s Renegade accelerator platform.
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OpenAI DevDay 2024 live blog
I’m at OpenAI DevDay in San Francisco, and I’m trying something new: a live blog, where this entry will be updated with new notes during the event. See OpenAI DevDay: …
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GPT-3 tries pickup lines
Once upon a time I decided to train a neural net to generate pickup lines. Once I started collecting the training data I began to regret it when I saw how awful the existing lines were. Turns out I needn’t have worried. The neural net I used was so small and clueless that
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Retrieval in LangChain
Build better AI apps with flexible retrieval methods in LangChain. Use any retriever—from semantic to hybrid—to create personalized ChatGPT for your data.
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High-performance speech recognition with no supervision at all
To enable speech recognition technology for many more languages spoken around the globe, Facebook AI is releasing wav2vec Unsupervised, a new method to train models with no supervision whatsoever. Wav2vec Unsupervised rivals the performance of the best supervised systems from just a few years ago.
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Vāgdhenu: A Sanskrit Chanting TTS System
A vṛtta (meter) aware śloka-to-chant system for Sanskrit. Try the live demo, hear sample chants, read the paper.
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Meaningful Nonsense: How I generate sentences
I’m coding a system in JavaScript that generates sentences of “meaningful nonsense”. Here are some examples.
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Rethinking Attention with Performers
Posted by Krzysztof Choromanski and Lucy Colwell, Research Scientists, Google Research Transformer models have achieved state-of-the-art results ac...
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Bringing the Mona Lisa Effect to Life with Tensorflow.js
Urban legend says that Mona Lisa's eyes will follow you as you move around the room. This interactive digital portrait brings the phenomenon to life..
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All about automotive lidar
A comprehensive overview of automotive lidar technology — what lidar measures, how it measures distance, and how it determines bearing.
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Notes on OpenAI o3-mini
OpenAI’s o3-mini is out today. As with other o-series models it’s a slightly difficult one to evaluate—we now need to decide if a prompt is best run using GPT-4o, o1, …
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A Beginner’s Guide to Recurrent Networks and LSTMs
The Eclipse Deeplearning4j Project. Eclipse Deeplearning4j has 5 repositories available. Follow their code on GitHub.
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