School did nothing wrong when it punished student for using AI, court rules

A federal court has ruled against parents who sued a Massachusetts school district for punishing their son for using an artificial intelligence tool to complete an assignment, finding that school officials had the authority to determine the student had cheated. The student had indiscriminately copied and pasted text from the AI application, including citations to nonexistent books, and the court found that the school's punishment, including a failing grade and a Saturday detention, was reasonable.

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AI PCs make users less productive

A study by Intel found that users of personal computers with built-in AI services are less productive than those using traditional PCs, due to a steep learning curve and lack of familiarity with AI tools. According to the study, users of AI PCs spend more time on tasks, but could potentially save up to four hours per week by delegating tasks to generative AI.

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AI Data Centers May Consume More Electricity Than Entire Cities

Data centers powering artificial intelligence could use more electricity than entire cities, with their power needs potentially outpacing what renewable energy can provide, requiring the use of natural gas and slowing progress toward meeting carbon dioxide emissions targets.

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Anti-scale: a response to AI in journalism

The journalism industry's foray into online media has failed, with declining trust, employment, and revenue over the past two decades, and generative AI is not the solution to these problems. Instead of chasing scale and automation, the industry should focus on a self-determined vision for journalism on the web that prioritizes human connection and storytelling.

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Establishing an etiquette for LLM use on Libera.Chat

Libera.Chat has established guidelines for the use of Large Language Models (LLMs) on its platform, allowing their use while requiring transparency and permission in certain situations. Users operating LLMs must inform others of their interaction, obtain permission from channel founders and operators, and adhere to network policies to ensure a welcoming environment for all users.

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DroidSpeak: Enhancing Cross-LLM Communication

DroidSpeak is a framework that accelerates communication between agents in multi-agent systems using Large Language Models by reusing intermediate data, such as input embeddings and key-value caches. This approach achieves up to a 2.78x speedup in prefill latency with minimal loss in accuracy, enabling more efficient and scalable multi-agent systems.

ArXiv

A Critique of Unfounded Skepticism Around AI for Chip Design

A 2020 Nature paper introduced AlphaChip, a deep reinforcement learning method for generating superhuman chip layouts, which has inspired widespread adoption and impact in the field. However, a non-peer-reviewed paper questioned AlphaChip's performance claims, but its findings have been disputed due to methodological flaws and incomplete replication of the original method.

ArXiv

Four Steps Towards Robust Artificial Intelligence (2020)

A proposed approach to artificial intelligence focuses on a hybrid, knowledge-driven model that incorporates cognitive reasoning, differing from current methods that rely on large training sets and extensive computing power. This approach aims to create a more robust and advanced AI system.

ArXiv

Size and albedo of the largest detected Oort-cloud object

The Oort-cloud comet C/2014 UN271 (Bernardinelli-Bernstein) is the largest known comet in the Solar System, with a surface-equivalent diameter of approximately 137 km, and its albedo is typical of comets. The comet's large size and distant perihelion make it an archetype for studying distant comets, and future thermal measurements will allow for the study of possible albedo changes as it approaches perihelion in 2031.

ArXiv

Deegen: A JIT-Capable VM Generator for Dynamic Languages

Deegen is a meta-compiler that generates high-performance JIT-capable virtual machines for dynamic languages, requiring significantly less time, money, and expertise than traditional methods. Using Deegen, a LuaJIT Remake (LJR) was created, which outperformed the official PUC Lua interpreter and was competitive with LuaJIT's optimizing JIT.

ArXiv

Show HN: LLM Alignment Template – Aligning Language Models with Human Feedback

The LLM Alignment Template is a comprehensive tool and template for building and aligning large language models (LLMs) with human values and objectives, providing a full stack of functionality including training, fine-tuning, deploying, and monitoring. This template offers a user-friendly interface for managing alignment, visualizing training metrics, and deploying at scale, and integrates evaluation metrics to ensure ethical and effective use of language models.

Repo

Full LLM training and evaluation toolkit

SmolLM2 is a family of compact language models available in three sizes (135M, 360M, and 1.7B parameters) that can solve a wide range of tasks while being lightweight enough to run on-device. The models can be used with various frameworks such as transformers, trl, and llama.cpp, and are available in a collection on Hugging Face.

Repo

Llmbox: Making AI Conversations Limitless, for Now Only for Claude

LLMBox is a lightweight, privacy-focused interface for unlimited AI conversations, designed to solve the conversation limit issue with Claude AI. It features a modern UI, file upload and analysis capabilities, full-text search, local storage, and real-time message streaming, with plans for future improvements and additional features.

Repo

Show HN: I built an open-source AI Rizz Generator to help people find love

The Rizz Lines Generator is a Next.js project that uses AI to generate unique and engaging pickup lines and flirty messages in various styles. It offers features such as saving and sharing favorite lines, daily updates, and a mobile-friendly interface, with basic features available for free and premium features for advanced capabilities.

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SmartRAG: Multi-Agent Retrieval Revolutionizing RAG with Graph-Based Insights

SmartRAG is a demonstration app that showcases various concepts to improve Retrieval-Augmented Generation (RAG) applications, including multiple query approaches, voice mode, advanced querying, and multi-agent research. The app can be easily deployed using the Azure Developer CLI and features advanced indexing techniques, citation and verification, and natural conversation interfaces using Azure OpenAI's Text-to-Speech and Whisper for Speech-to-Text capabilities.

Repo