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MonkeysPaw – A prompt-driven web framework in Ruby
Be careful what you wish for...
New
The latest blog posts to take off on Hacker News. 1,227 posts.
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SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Large Language Models (LLMs) have transformed natural language processing, but face significant challenges in widespread deployment due to…
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The Llama 4 herd
We’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context support and our first built using a mixture-of-experts (MoE) architecture.
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No elephants: Breakthroughs in image generation
When Language Models Learn to See and Create
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Google announces Sec-Gemini v1 a new experimental cybersecurity model
Today, we’re announcing Sec-Gemini v1, a new experimental AI model focused on advancing cybersecurity AI frontiers. As outlined a year ago, defenders face the daunting t…
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Interviewing a software engineer who prepared with AI
I just got off one of the most surreal video calls of my life - a live video call with a candidate who was interviewing to become an L3 software engineer at Kapwing, our online video editing startup. The interview started extremely well - the candidate seemed like a clear
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Senior Developer Skills in the AI Age
How time-tested software engineering practices amplify the effectiveness of AI coding assistants.
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The slow collapse of critical thinking in OSINT due to AI
This isn’t a rant against AI. I use it daily, ChatGPT, Copilot, Claude, Gemini. They’re in my workflow like everyone else’s. But the tradecraft is slipping. Analysts are skipping the hard parts. They’re trusting GenAI to do the heavy cognitive lifting, and it’s changing how we operate at a foundational level.
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An image of an archeologist adventurer who wears a hat and uses a bullwhip
There is only one thing worse than being imitated
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Reasoning models don't always say what they think
Research from Anthropic on the faithfulness of AI models' chain-of-thought reasoning.
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QVQ-Max: Think with Evidence
QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues. Today, we are officially releasing the first version of QVQ-Max, our visual reasoning model. This model can not only “understand” the content in images and videos…
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I stopped using AI code editors
In the past I used AI code editors for all of my programming, but I stopped using it and recommend others to consider this as well
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When Jorge Luis Borges met one of the founders of AI
One reason I became a historian is the joy of encountering moments in the past that are foreign, yet also oddly familiar.
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PaperBench
We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.
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How Google built its Gemini robotics models
Robots powered by Gemini Robotics models can learn complex actions like preparing salads and even folding an origami fox.
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Why Does Claude Speak Byzantine Music Notation?
A Caesar cipher is a reasonable transformation for a transformer to learn in its weights, given that a specific cipher offset occurs often enough in its training data. There will be some hidden representation of the input tokens' spelling, and this representation could be used to shift letters onto other letters in…
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Don’t let an LLM make decisions or execute business logic
Don’t let an LLM make decisions or implement business logic: they suck at that.
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OpenAI releasing new open model in coming months, seeks community feedback
We’re planning to release our first open language model since GPT‑2 in the coming months. We’re excited to collaborate with developers, researchers, and the broader community to gather inputs and make this model as useful as possible.
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Automating Interactive Fiction Logic Generation with LLMs in Emacs
From the creator of Ten Dollar Adventure, a blog about the experience of writing the book, being a parent, navigating the entrepreneurial high seas, and learning.
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AI agents: Less capability, more reliability, please
Sergey Filimonov's blog
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Gemini 2.5 Pro vs. Claude 3.7 Sonnet: Coding Comparison
Google just launched Gemini 2.5 Pro on March 26th, claiming to be the best in coding, reasoning and overall everything. But I mostly care about how the…
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Circuit Tracing: Revealing Computational Graphs in Language Models (Anthropic)
We describe an approach to tracing the “step-by-step” computation involved when a model responds to a single prompt.
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Et Tu, Grammarly?
The one where I deploy counter defences.
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We hacked Gemini's Python sandbox and leaked its source code (at least some)
Leaked Google's internal google3 source and confidential security protos out of Gemini's Python sandbox by exfiltrating a 579 MB binary in 10 MB chunks.
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The Biology of a Large Language Model
We investigate the internal mechanisms used by Claude 3.5 Haiku — Anthropic's lightweight production model — in a variety of contexts, using our circuit tracing methodology.
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Tracing the thoughts of a large language model
Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms
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Waymos crash less than human drivers
Human drivers keep crashing into Waymos that aren't even moving.
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The role of developer skills in agentic coding
Notes from my colleagues on AI-assisted software delivery