Tuesday November 5, 2024

Meta allows military use of its AI models, Mem0 extension introduces shared memory across AI assistants, and researchers explore accuracy in LLM quantization.

News

Show HN: Convert any website into a React component

The HTML to React & Figma extension by Magic Patterns allows users to convert HTML from any webpage to React code or an editable Figma design, and also edit with AI. This extension enables users to grab existing designs, import and edit them, and customize with AI, making it a useful tool for web developers and designers.

Meta Permits Its A.I. Models to Be Used for U.S. Military Purposes

Meta is shifting its policy to allow U.S. government agencies and contractors working on national security to use its artificial intelligence models for military purposes, despite its previous policy prohibiting such use. The company will make its open-source A.I. models, called Llama, available to federal agencies and is working with defense contractors and tech companies to support "responsible and ethical" innovations.

Perplexity CEO offers AI company's services to replace striking NYT staff

Perplexity CEO Aravind Srinivas has offered to provide his company's services to the New York Times to mitigate the effects of a strike by the NYT Tech Guild, which represents tech workers who provide software support and data analysis for the Times. Srinivas' offer was met with criticism on social media, with many accusing him of acting as a scab and undermining the collective action of the striking workers.

How a Mumbai Drugmaker Is Helping Putin Get Nvidia AI Chips

An Indian pharmaceutical company, Shreya Life Sciences, is selling top-end Dell servers optimized for artificial intelligence to Russia, which are equipped with Nvidia AI chips. This trade has raised concerns among the US and its European allies, as it appears to be a way for Russia to circumvent sanctions and obtain advanced technology.

Oasis AI

Oasis is a platform where users can upload their own scenes or choose from various pre-made environments, including a village, forest, coastline, desert, and meadow, to play and explore. The platform is currently in beta and may experience technical issues.

Research

Accuracy-Performance Trade-Offs in LLM Quantization

Researchers conducted a comprehensive study on the accuracy and performance of large language models using various quantization formats, including FP8, INT8, and INT4. The study found that certain formats, such as FP8 and INT8, can achieve high accuracy with minimal degradation, while others, like INT4, offer competitive performance and cost-efficiency in specific deployment environments.

MarsCode Agent: AI-Native Automated Bug Fixing

MarsCode Agent is a novel framework that uses large language models and advanced code analysis to automatically identify and repair bugs in software code. The framework has shown a high success rate in bug fixing compared to existing approaches, as demonstrated by its evaluation on a comprehensive benchmark of real-world software projects.

An embarrassingly simple approach to recover unlearned knowledge for LLMs

Large language models (LLMs) can acquire unwanted behaviors from their training data, and machine unlearning has been proposed as a solution to remove this problematic content. However, research has found that applying quantization to models that have undergone unlearning can restore the supposedly "forgotten" information, with up to 83% of the intended forgotten knowledge retained after 4-bit quantization.

Designing a Home Radio Telescope for 21 Cm Emission

This study outlines a cost-efficient method for creating a radio astronomy telescope to detect 21 cm emissions from neutral hydrogen in the Milky Way, allowing for the measurement of hydrogen cloud velocities and their roles in the galaxy's dynamics. The setup, designed for accessibility, uses a parabolic dish, a low-noise amplifier, a software-defined radio, and a Raspberry Pi, and includes techniques for mitigating radio frequency interference in urban environments.

Public Dataset of Social Media Discourse about the 2024 U.S. Election

Researchers have created a large-scale dataset of 22 million Twitter posts related to the 2024 U.S. Presidential Election, collected from May to July 2024 using a custom-built scraper. The dataset aims to provide a foundation for studying the influence of social media on political discourse, the spread of misinformation, and election-related narratives.

Code

Show HN: Mem0 Browser Extension: Shared Memory Across ChatGPT,Claude,Perplexity

Mem0 is a Chrome extension that brings a universal memory layer to AI assistants like ChatGPT, Claude, and Perplexity, allowing users to share context seamlessly across platforms. The extension offers features like smart context detection, intelligent memory retrieval, and one-click sync with existing ChatGPT memories, all for free with no usage limits or ads.

Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.

The provided text is incomplete and only contains an error message. There is no information to summarize.

Show HN: Krixik – Easily sequence small/specialized AI models (pip-installable)

Krixik is a platform that allows developers to easily experiment, prototype, and build with small/specialized AI models through secure APIs, enabling rapid iteration and deployment of AI-powered applications. The platform provides a growing library of modules and models, and users can create custom pipelines by chaining these modules together to perform complex tasks such as transcription, sentiment analysis, and semantic search.

Show HN: QuackOSM – Fast, Simple and Scalable OpenStreetMap Data Access

QuackOSM is an open-source tool for reading OpenStreetMap PBF files using DuckDB, allowing for scalable and efficient data processing. It can be used as a Python module or a command-line interface, and supports features such as filtering data based on geometry and OSM tags, caching, and multithreading.

DreamClear: AI model restores degraded images while preserving privacy

DreamClear is a high-capacity real-world image restoration model that uses a privacy-safe dataset curation approach. The model, developed by researchers from the Chinese Academy of Sciences and ByteDance, Inc., is designed to restore low-quality images to high-quality images while preserving the original content and details.

© 2024 Differentiated. All rights reserved.