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Machine Learning in the Cloud, with TensorFlow
Posted by Slaven Bilac, Software Engineer, Google ResearchAt Google, researchers collaborate closely with product teams, applying the latest advanc...
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Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,331 posts.
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AI tools are making the world look weird
LLMs think WEIRD - Western, Educated, Industrialised, Rich, Democratic. STRAT7 explores what AI cultural bias means for researchers working across global markets.
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The classifiers Anthropic puts in front of Fable are too zealous
COMBINE-lab develops algorithms, data structures, and software for high-throughput genomics.
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Unpredictable black boxes are terrible interfaces
Why generative AI tools can be so difficult to use and how we might improve them
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Using reinforcement learning and $4.80 of GPU time to find the best HN post
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
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General Theory of Neural Networks
From gene regulatory networks to artificial neural networks
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AI children's books, body horror edition
Last week, I posted a visual demonstration of the sameness of AI-generated content.
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Making an AI bid writer refuse to lie
A year of failure postmortems from building document AI for public tenders: phantom partners, silent coverage collapses, broken truth-meters, and why the refusal became the product.
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Microsoft is eating the world
If OpenAI was a public company, it's stock would have been down about 38% today in a shocking turn of events.
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LLMs Are Not Fun
I got into programming because it let me turn thought into reality. If I could reason precisely, then a computer could carry out my thoughts unerringly. I could step away from tiring, ambiguous human interaction for a while.
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The first 40 months of the AI era
Lzon.ca. A personal blog, by a programmer and IT expert.2026216 points144 commentsAI & Machine Learning details
A personal blog, by a programmer and IT expert. Essays, Articles, Guides, and Recipes. As well as Code, Quotes, and Links.
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Training our own AI models
I really think we're on the verge of some of our best work through the next six months. Over the past year, we've started building more AI-powered…
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Turing Test Success
Our previous content management system has been retired, and the news and article content it held has been archived. You can now browse the archived content by year, month, or topic using the links below.
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Un Ministral, Des Ministraux
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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Gemini Robotics On-Device brings AI to local robotic devices
We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.
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Fine-tuning now available for GPT-4o
Fine-tune custom versions of GPT‑4o to increase performance and accuracy for your applications.
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Ornith-1.5: From Self-Scaffolding to Self-Improvement
Introducing Ornith-1.5, an open-source model family that extends self-scaffolding into an end-to-end self-improvement loop.
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Machine learning can run on tiny, low-power chips
Photo by Kevin Steinhardt When Azeem asked me to give a talk at CogX, he asked me to focus on just a single point that I wanted the audience to take away. A few years ago my priority would have bee…
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Learnings from fine-tuning LLM on my Telegram messages
For most people I interact with, I’m just another text-based program for the most of the time. If input and output are so simple, could I be replaced by the model? For this to work, the model would need to not only understand my writing style but also know a lot about me. The best source for this is my Telegram…
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A step-by-step guide to building a simple chess AI
Let’s explore some basic concepts that will help us create a simple chess AI:
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How to train large models on many GPUs? (2021)
[Updated on 2022-03-13: add expert choice routing.] [Updated on 2022-06-10]: Greg and I wrote a shorted and upgraded version of this post, published on OpenAI Blog: “Techniques for Training Large Neural Networks”
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Processing Strings 109x Faster Than Nvidia on H100
StringZilla v4 brings CUDA acceleration for string processing: 109x faster than Nvidia's CuDF on edit distances, plus 52-bit MinHash fingerprinting and AES-based hashing.
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How Transformers Work – Model Used by Open AI and DeepMind
Transformers are a type of neural network architecture that have been gaining popularity. Transformers were recently used by OpenAI in…
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Survey: a third of senior developers say over half their code is AI-generated
Fastly’s survey shows senior developers trust gen AI tools enough to ship 2.5x more AI code, while juniors stick to traditional coding and caution.
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