Do AI detectors work? Students face false cheating accusations

Students are facing false accusations of cheating due to the use of AI detection tools in schools, which can incorrectly flag their work as generated by artificial intelligence. These tools, used by two-thirds of teachers, can have big consequences for students, including failing grades and damage to their academic reputation.

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The AI Investment Boom

Microsoft has joined Amazon in paying to reopen the Three Mile Island nuclear plant to meet its growing data center power demand, highlighting the increasing energy needs of US tech companies. The rapid growth in AI systems has led to a massive surge in US fixed investment, with hundreds of billions of dollars going to high-end computers, data center facilities, power plants, and more.

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First images from Euclid are in

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USGS uses machine learning to show large lithium potential in Arkansas

The US Geological Survey (USGS) has used machine learning to estimate that between 5 and 19 million tons of lithium reserves are located beneath southwestern Arkansas. This amount of lithium would meet the projected 2030 world demand for lithium in car batteries nine times over. The study used a novel methodology that combined water testing and machine learning to quantify the amount of lithium present in brines in the Smackover Formation, a geologic unit that is also known for its oil and bromine deposits.

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ByteDance sacks intern for sabotaging AI project

ByteDance, the owner of TikTok, has sacked an intern for "maliciously interfering" with the training of one of its artificial intelligence (AI) models. The company claims the intern's actions did not cause significant damage to its commercial online operations, including its large language AI models.

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Machine Learning to Computational Plasma Physics Reduced-Order Plasma Modeling

Machine learning (ML) has shown great promise in enhancing computational modeling of fluid flows, but its applications in numerical plasma physics research remain limited. A roadmap is proposed to transfer ML advances in fluid flow modeling to computational plasma physics, outlining future directions and development pathways for ML in plasma modeling.

ArXiv

RepoGraph: Enhancing AI Software Engineering with Repository-Level Code Graph

Researchers developed RepoGraph, a plug-in module that helps AI software engineers navigate and understand the broader context of code repositories. RepoGraph significantly boosts the performance of existing methods, achieving a new state-of-the-art in open-source frameworks, and demonstrates its extensibility and flexibility on various coding benchmarks.

ArXiv

Computational Copyright: Towards a Royalty Model for Music Generative AI

The advancement of generative AI in the music industry has created pressing copyright challenges, necessitating algorithmic solutions to address the economic impact. This paper proposes viable royalty models for revenue sharing on AI music generation platforms, including algorithmic solutions for attributing AI-generated music to copyrighted content in the training data.

ArXiv

Good Parenting is all you need – Multi-agentic LLM Hallucination Mitigation

A study found that advanced AI models, such as Llama3-70b and GPT-4 variants, can detect and correct hallucinations in AI-generated content with near-perfect accuracy. These models successfully revised outputs in 85-100% of cases after receiving feedback, demonstrating their potential to enhance the accuracy and reliability of generated content.

ArXiv

Guide to Fine-Tuning LLMs

This report examines the fine-tuning of Large Language Models (LLMs), outlining a seven-stage pipeline and comparing various methodologies for different tasks. It covers advanced techniques, novel approaches, and emerging areas in LLM fine-tuning, offering actionable insights for researchers and practitioners.

ArXiv

Show HN: Data Formulator – AI-powered data visualization from Microsoft Research

Data Formulator is an AI-powered tool from Microsoft Research that enables analysts to create rich visualizations by combining user interface interactions and natural language inputs. It uses large language models to transform data and expedite the practice of data visualization.

Repo

Show HN: Create mind maps to learn new things using AI

This is a Next.js project that implements a mind map visualization tool using React Flow, allowing users to view and interact with mind maps and download the data as a markdown file. The project uses AI models from Ollama or external models like OpenAI to generate the mind map data, and can be run locally or externally with the option to switch between models.

Repo

Janus: Decoupling visual encoding for multimodal understanding and generation

Here is a summary of the text in a couple of sentences:

Janus is a novel autoregressive framework that unifies multimodal understanding and generation by decoupling visual encoding into separate pathways while utilizing a single, unified transformer architecture. It surpasses previous unified models and matches or exceeds the performance of task-specific models, making it a strong candidate for next-generation unified multimodal models.

Repo

Show HN: Amphi, visual data transformation based on Python

Amphi is a visual data transformation tool based on Python for data preparation, reporting, and ETL (Extract, Transform, Load). It offers a low-code interface for developing pipelines and generates native Python code that can be deployed anywhere.

Repo

Show HN: LLM Deceptiveness and Gullibility Benchmark

The LLM Deceptiveness and Gullibility Benchmark assesses large language models' ability to generate convincing disinformation and resist misleading information. The benchmark evaluates models on their deceptive capabilities and resistance to manipulation, with Claude 3 Opus and Claude 3.5 Sonnet achieving exceptional resistance scores and Claude 3.5 Sonnet topping the deception effectiveness scale.

Repo