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Learnings from paying artists royalties for AI-generated art
A retrospective on Tess.Design, our attempt to make an ethical, artist-friendly AI marketplace. We launched Tess in May 2024 and shut it down in January 2026.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
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I think I'm done thinking about GenAI for now
The conversation isn’t over, but I don’t think I have much to add to it.
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Cracking Random Number Generators Using Machine Learning
Cutting-edge cyber security research from NCC Group. Find public reports, technical advisories, analyses, & other novel insights from our global experts.
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Claude Managed Agents
Claude Managed Agents is Anthropic's suite of composable APIs for building and deploying cloud-hosted agents at scale. See what's new and how to get started.
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Bard coding update with Colab exporting
Bard can now help with programming and software development tasks, across more than 20 programming languages.
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Every Way to Get Structured Output from LLMs
A survey of every framework for extracting structured output from LLMs, and how they compare.
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Golden Gate Claude
When we amplify the "Golden Gate Bridge" feature, Claude's responses focus on the bridge. For a short time, anyone can interact with this model.
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Redeploying Fable 5
Anthropic is redeploying Claude Fable 5 starting July 1, with updated cyber safeguards and a new jailbreak framework.
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PyTorch Native Architecture Optimization: Torchao
We’re happy to officially launch torchao, a PyTorch native library that makes models faster and smaller by leveraging low bit dtypes, quantization and sparsity. torchao is an accessible toolkit of techniques written...
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Machine Learning in JavaScript
I love machine learning algorithms. I've taught classes and seminars and given talks on ML. The subject is fascinating to me, but like all skills fascination simply isn't enough. To get good at something, you need to practice! I also happen to be a PHP and JavaScript developer.
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WASM Agents: AI agents running in the browser
One of the main barriers to a wider adoption of open-source agents is the dependency on extra tools and frameworks that need to be installed before the agents can be run. In this post, we show how to write agents as HTML files, which can just be opened and run in a browser.
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Normalizing Flows Are Capable Generative Models
Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density…
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Understanding deep learning requires re-thinking generalization
Understanding deep learning requires re-thinking generalization Zhang et al., ICLR’17 This paper has a wonderful combination of properties: the results are easy to understand, somewhat surpri…
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Allowing mass surveillance at Olympics undermines EU efforts to regulate AI
Responding to the French National Assembly’s decision to permit the use of mass video surveillance technology powered by Artificial Intelligence (AI) during the 2024 Olympics, Mher Hakobyan, Amnesty International’s Advocacy Advisor on AI Regulation, said: “France’s decision to allow the use of mass surveillance…
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Spinning Up in Deep RL
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Pacing model development in an era of cyber-critical capabilities
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
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I don't know how you get here from “predict the next word”
I recently tried refine, an AI tool for refining academic articles, developed by Yann Calvó López and Ben Golub.
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I’m not a programmer, and I used AI to build my first bot
Before I joined Replit, I had never written a line of code. A few weeks ago, I built a Slack Bot that uses Google LLMs to provide daily channel summaries. You can fork the template or get started with 100 Days of Code. None of this was possible without Replit. Let me explain why: Getting started with no setup
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Samsung Foundry Forum announcements
Details were disclosed at the company’s 5th Annual Samsung Foundry Forum
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Google's True Moonshot
Google could do more than just win the chatbot war: it is the one company that could make a universal assistant. The question is if the company is willing to risk it all.
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Every SaaS business will become a harness around a model
Why SaaS business is now a harness one.
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Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
In 1960, the physicist Eugene Wigner wrote a famous essay titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” in which he explored the question of why mathematics is so r…
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Thoughts On Machine Learning Accuracy
This blog shares some brief thoughts on machine learning accuracy and bias. Let’s start with some comments about a recent ACLU blog in which they ran a facial recognition trial. Using Rekognition, the ACLU built a face database using 25,000 publicly available arrest photos and then performed facial similarity searches…
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Why Do ML on the Erlang VM?
Another question might be; why do machine learning at all? I'm not big into ML/AI though I've been poking it more recently as the open models, such as Stable Diffusion and the more practical Whisper, caught my curiosity. I have a very decent GPU (3090 Ti) and I've poked around a bit. I don't consider ML a super…
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Reverse engineering Codex CLI to get GPT-5-Codex-Mini to draw me a pelican
OpenAI partially released a new model yesterday called GPT-5-Codex-Mini, which they describe as "a more compact and cost-efficient version of GPT-5-Codex". It’s currently only available via their Codex CLI tool …
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Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers
Compare Jev decision models with Red Hat guardrails to evaluate AI safety performance, cost, and latency for enterprise implementation.