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"Wait, not like that": Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
New
The latest blog posts to take off on Hacker News. 1,227 posts.
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Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)
Listen in on Jane Street’s Ron Minsky as he has conversations with engineers working on everything from clock synchronization to reliable multicast, build systems to reconfigurable hardware. Get a peek at how Jane Street approaches problems, and how those ideas relate to tech more broadly.
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Building AI agents to query your databases
In the world of AI agents, the ability to understand and analyze structured data is a game-changer. While large language models excel at understanding natural...
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The cultural divide between mathematics and AI
A reflection on cultural differences observed at the 2025 Joint Mathematics Meeting.
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Experiment with Gemini 2.0 Flash native image generation
Developers can now test experimental image output generation with Gemini 2.0 Flash via the Gemini API in Google AI Studio.
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Gemini Robotics
Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.
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Beyond Diffusion: Inductive Moment Matching
Inductive Moment Matching surpasses diffusion models in speed and sample quality.
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Happy 10k Day
Today, we sold the 10,000th comma 3X, our first product breaking 5 digits in sales.
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People are just as bad as my LLMs
Last year I created a fun little experiment where I asked a bunch of LLMs to rank 97 hackernews users using their comment history based on whether they would be good candidates for the role of “software engineer at google”. (yes yes, seems silly I know, you can read part 1 and part 2 but […]
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Generative AI hype peaking?
I have been a skeptic of some of the more breathless claims made for Generative AI since at least October 2023, when I participated in a panel organized by S...
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With AI you need to think bigger
I have noticed something in the past 12 months, something a little profound. I have noticed that I am no longer scared that a project will be too big or too complex for me, or that a project will use a technology or programming language I don’t know.
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MCP vs. API Explained
Model Context Protocol (MCP) is an open standard that connects AI models to tools and data sources efficiently. This guide breaks down MCP’s architecture, benefits, and how it differs from traditional APIs
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The Einstein AI Model
I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a compressed 21st century.
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Long Read: Lessons from Building Semantic Search for GitHub and Why I Failed
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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AMD YOLO
AMD is sending us the two MI300X boxes we asked for. They are in the mail.
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Why I find diffusion models interesting?
HN Discussion
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Using GRPO to Beat o1, o3-mini and R1 at “Temporal Clue”
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
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Mistral OCR
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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Automatically tagging politician when they use their phone on the livestreams
How does it work? Every meeting of the flemish government in Belgium is live streamed on a youtube channel. When a livestream starts the software is searching for phones and tries to identify a distracted politician. This is done with the help of AI and face recognition. The video of the distracted politician are then…
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QwQ-32B: Embracing the Power of Reinforcement Learning
QWEN CHAT Hugging Face ModelScope DEMO DISCORD Scaling Reinforcement Learning (RL) has the potential to enhance model performance beyond conventional pretraining and post-training methods. Recent studies have demonstrated that RL can significantly improve the reasoning capabilities of models. For instance, DeepSeek R1…
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Skynet won and destroyed humanity
For a very long time, it appeared obvious to outside observers of the time flow that Skynet would never win the war, and never annihilate humanity.
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Richard Sutton and Andrew Barto Win 2024 Turing Award
Andrew Barto and Richard Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning in the 1980s, Barto and Sutton introduced the main ideas, constructed the mathematical foundations, and developed…
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Writing an LLM from scratch, part 8 – trainable self-attention
Moving on from a toy self-attention mechanism, it's time to find out how to build a real trainable one. Following Sebastian Raschka's book 'Build a Large Language Model (from Scratch)'. Part 8/??
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ARC-AGI without pretraining
We solve 20% of ARC-AGI-1 with no pretraining by minimizing the description length during inference time, with the only data involved being the target puzzle itself.
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DeepSeek's smallpond: Bringing Distributed Computing to DuckDB
DeepSeek is pushing DuckDB beyond its single-node roots with smallpond, a new, simple approach to distributed compute. But does it solve the scalability challenge—or introduce new trade-offs?
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The Differences Between Deep Research, Deep Research, and Deep Research
Dive into the world of AI engineering with this exploration of Deep Research in report generation. Learn how LLM-as-a-judge systems, machine learning, and ev...