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The Agentic AI Handbook: Production-Ready Patterns
A comprehensive guide to 113 production-informed patterns for building reliable AI agents.
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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Stuff we figured out about AI in 2023
2023 was the breakthrough year for Large Language Models (LLMs). I think it’s OK to call these AI—they’re the latest and (currently) most interesting development in the academic field of …
3094
Sam Altman's pants are on fire
Even for him, his latest whopper is something
3095
I had ChatGPT write a Decemberists song and recorded it
And I recorded it. Here's "Sailor's Song."
3096
Speedgate: World’s First Sport Generated by AI
Developers from AKQA, a global innovation agency most known for working with some of the hottest brands and public figures, trained a recurrent neural network and a deep convolutional generative…
3097
AI Can Detect Illnesses in Human Breath
Researchers from Loughborough University, Western General Hospital, the University of Edinburgh, and the Edinburgh Cancer Centre in the United Kingdom, recently developed a deep learning-based method…
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Demystifying GPU compute architectures
Getting 'low level' with Nvidia and AMD GPUs
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What mathematicians should know about the Lean Theorem Prover: reliability & AI
[This is a guest post by Thomas Hales. This blog post was initially written in a different file format and converted using AI. — T.] Mathematicians have been weighing in on what they value ab…
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Score matching with Langevin Sampling: a new contender to GANs
Last year, Yang Song, a graduate student at Stanford, showed an entirely new way of generating data based on denoising score matching with Annealed Langevin sampling (DSM-ALS). The paper showed tha…
3101
Eurostar AI vulnerability: When a chatbot goes off the rails
TL;DR Introduction I first encountered the chatbot as a normal Eurostar customer while planning a trip. When it opened, it clearly told me that “the answers in this chatbot are generated by AI”, which is good disclosure but immediately raised my curiosity about how it worked and what its limits were. Eurostar…
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Data is the only moat
How different adoption models drive better applications
3103
Deep Learning 101
Deep learning has become something of a buzzword in recent years with the explosion of 'big data', 'data science', and their derivatives mentioned in the media. Justifiably, deep learning approaches have recently blown other state-of-the-art machine learning methods out of the water for standardized problems such as…
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FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention
In theory, Attention is All You Need. In practice, however, we also need optimized attention implementations like FlashAttention. Although these fused attention implementations have substantially improved performance and enabled long...
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Hamiltonian Monte Carlo explained
Understanding an effective way of sampling from complex distributions with 3d-demonstrations
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Google's advanced music generation model and two new AI experiments
Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity
3107
GitHub Copilot: The Agent Awakens
Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at our SWE agent.
3108
We accidentally solved robotics by watching 1M hours of YouTube
the existential crisis we all share imagine this: you've just spent $640 billion training the chonkiest language model known to humanity (lol) and decide...
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OpenAI
I have some exciting news (for me, anyway). Starting next week, I’ll be going on leave from UT Austin for one year, to work at OpenAI. They’re the creators of the astonishing GPT-3 and …
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The future of Deep Learning frameworks
Assumed audience: ML researchers who frequently work with PyTorch , but are interested in trying out JAX or have yet to be convinced.
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Google's Genie is more impressive than GPT5
It was a busy week in the AI world.
3112
Mona Lisa in 50 polygons, using a genetic algorithm (2008)
This weekend I decided to play around a bit with genetic programming and put evolution to the test, the test of fine art 🙂
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Are deep neural networks dramatically overfitted? (2019)
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Anki and GPT-3
Tools for thought, programming, games, homeschooling, and learning
3115
Run interactive commands in Gemini CLI
We're excited to announce an enhancement to Gemini CLI that makes your workflow more powerful a...
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OpenAI Five Benchmark
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
3117
Gemini Embedding: Powering RAG and context engineering
Explore how organizations leverage Gemini Embedding for context-aware AI systems improving performance, accuracy, and efficiency across diverse industries.
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The Google Brain Team – Looking Back on 2016
Posted by Jeff Dean, Google Senior Fellow, on behalf of the entire Google Brain TeamThe Google Brain team's long-term goal is to create more intell...
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Snips Uses Rust to Build an Embedded Voice Assistant
The team at Paris-based Snips has created a voice assistant that can be embedded in a single device or used in a home network to control lights, thermostat
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Why Multi-armed Bandit algorithms are superior to A/B testing (with Math)
In a recent post, a company selling A/B testing services made the claim that A/B testing is superior to bandit algorithms. They do make a compelling case that A/B testing is superior to one particular not very good bandit algorithm, because that particular algorithm does not take …