Large Language Models

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Two AI-based science assistants succeed with drug-retargeting tasks

On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” meaning researchers are regularly applying their judgements to direct the system. The second, from a nonprofit called FutureHouse, goes a step beyond and has trained […]

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How to Visualize Any AI Model Architecture Instantly in Hugging Face

Understanding modern AI architectures is harder than ever. Open any Hugging Face repository and you’ll usually find massive config files, layer definitions, parameter counts, and model cards that explain what the model does but rarely help you understand how it is structured internally. That becomes a problem as most developers end up mentally reconstructing architectures

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Anthropic’s Claude Managed Agents can now “dream,” sort of

SAN FRANCISCO—At its Code with Claude developers’ conference, Anthropic has introduced what it calls “dreaming” to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in “memory” to inform future tasks and interactions. Dreaming is a feature that is currently in

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LLM Buyers Guide

LLM Evaluation with Domain Experts: The Complete Guide for Enterprise Teams

LLM Evaluation with Domain Experts: The Complete Guide for Enterprise Teams Table of Contents Download eBook Get My Copy If your company has started using AI tools that generate text — chatbots, document summarizers, policy assistants, or customer service bots — you have probably asked yourself: “How do we know the AI is actually giving

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RPA matters, but AI changes how automation works

RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems. By using software bots to follow fixed rules, companies can automate repetitive tasks like data entry and invoice processing, and to a certain extent, report generation. Adoption grew quickly in many sectors, especially in finance,

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The hunt for (Reddit) data is over

A nagging question remains after asking, “What’s next after zero-click search?” How do frontier models – like OpenAI’s o3 series or Google’s Gemini 3 – learn? Garbage in, garbage out Large language models (LLMs) learn from massive amounts of text data, including billions of words, public information, and, you guessed it, […] The post The hunt

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Kagi Translate’s AI answers the question “What would horny Margaret Thatcher say?”

If you’ve been using the Internet for any length of time, you’ve probably used a tool like Google Translate to convert webpages or snippets of text to and from languages ranging from Uzbek to Esperanto. But what if you want to translate into more esoteric “languages” like “LinkedIn Speak,” “Gen Z slang,” or “horny Margaret

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Meta acquires Moltbook, the AI agent social network

Meta has acquired Moltbook, the Reddit-esque simulated social network made up of AI agents that went viral a few weeks ago. The company will hire Moltbook creator Matt Schlicht and his business partner, Ben Parr, to work within Meta Superintelligence Labs. The terms of the deal have not been disclosed. As for what interested Meta

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Microsoft deletes blog telling users to train AI on pirated Harry Potter books

Following backlash in a Hacker News thread, Microsoft deleted a blog post that critics said encouraged developers to pirate Harry Potter books to train AI models that could then be used to create AI slop. The blog, which is archived here, was written in November 2024 by a senior product manager, Pooja Kamath. According to

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