OSI readies controversial open-source AI definition

The Open Source Initiative (OSI) is set to vote on the Open Source AI Definition (OSAID) on October 27, 2024, which will determine what constitutes an open-source AI system. However, some prominent figures in the open-source community have expressed concerns that the proposed definition, which requires only "detailed information" about training data but not the data itself, sets the bar too low and undermines decades of community work to adhere to the original Open Source Definition (OSD).

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Google preps 'Jarvis' AI agent that works in Chrome

Google is reportedly developing an AI agent called "Jarvis" that will work within Google Chrome, allowing users to automate everyday tasks such as gathering research, purchasing products, or booking flights. Jarvis is powered by Gemini 2.0 and is expected to be previewed as early as December, with a potential launch to follow.

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AI models fall for the same scams that we do

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Researchers at JP Morgan AI Research have found that large language models (LLMs) used in chatbots can be scammed just like humans, and some models are more gullible than others. The researchers tested three popular LLMs with 37 scam scenarios, including a cryptocurrency investment scam, and found that the models fell for the scams, highlighting the need for better security measures to protect against AI scams.

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AI-powered transcription tool used in hospitals invents things no one ever said

OpenAI's artificial intelligence-powered transcription tool Whisper has been found to have a major flaw: it often "hallucinates" or makes up chunks of text or entire sentences, including racial commentary, violent rhetoric, and imagined medical treatments. This issue is particularly concerning as Whisper is being used in various industries worldwide, including medical centers, where it is being used to transcribe patients' consultations with doctors, despite OpenAI's warnings against its use in "high-risk domains."

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Google to develop AI that takes over computers, The Information reports

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LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

Researchers introduced the LLM Honeypot, a system to monitor and detect autonomous AI hacking agents, by deploying a customized SSH honeypot and analyzing prompt injections. Over a few weeks, they collected 800,000 hacking attempts and identified 6 potential AI agents, aiming to improve awareness and preparedness for AI hacking risks.

ArXiv

Identifying factors contributing to "bad days" for software developers

Software development can be hindered by friction, leading to decreased productivity, frustration, and low morale among developers. A research study using a mixed-method approach found that understanding the factors causing "bad days" for developers is crucial in fostering a positive and productive engineering environment.

ArXiv

State-space models can learn in-context by gradient descent

Researchers have demonstrated that a single state-space model layer, augmented with local self-attention, can perform in-context learning and reproduce the outputs of an implicit linear model. This construction enables gradient-based learning and has the potential for scalable training and effectiveness in general tasks.

ArXiv

Moonshine speech to text model 1.7x faster than OpenAI's Whisper, as accurate

Moonshine is a family of speech recognition models optimized for live transcription and voice command processing, using an encoder-decoder transformer architecture with Rotary Position Embedding. It achieves a 5x reduction in compute requirements while maintaining performance, making it suitable for real-time and resource-constrained applications.

ArXiv

Rethinking Softmax: Self-Attention with Polynomial Activations

The paper challenges the conventional belief that softmax attention in transformers is effective due to generating a probability distribution, instead attributing its success to its ability to implicitly regularize the Frobenius norm of the attention matrix. Alternative polynomial activations can achieve this effect, performing comparably or better than softmax across various tasks.

ArXiv

Show HN: AI agents working together in a virtual podcast studio. NotebookLM alt

NeuralNoise is an AI-powered podcast studio that uses multiple AI agents to analyze content, write scripts, and generate audio, creating high-quality podcast content with minimal human input. The platform utilizes OpenAI, ElevenLabs, and Streamlit to simplify the process of generating AI podcasts.

Repo

Making AI models compete for food in a virtual tank

The AI Fish Tank is a simulated physics competition where multiple small AI models are compared in real-time, collecting yellow dots in a physics environment. The project uses GitHub Models and is designed to evaluate AI models in a purely adversarial setting, rather than relying on benchmarks or human voting.

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Show HN: Zephyr: New [WIP] NN Jax Framework; Short, Simple, Declarative

The zephyr library aims to simplify the creation and manipulation of neural networks by providing a framework that allows for maximum control over parameters and hyperparameters. It achieves this by treating neural networks as pure functions, where the parameters are the first argument and the rest are inputs. This allows for easy modification and manipulation of the network's parameters.

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AI-powered keyboard layout fixer for when you forget to switch layouts

Correctly is an intelligent typing tool that automatically detects and corrects typing mistakes caused by using the wrong keyboard layout, ensuring the intended message is delivered. It uses AI to analyze keyboard input and corrects mistakes in real-time, supporting multiple languages including English and Arabic.

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Why check if something is odd simply, when you can do it with AI

The is-odd-ai package uses OpenAI's GPT-3.5-turbo model to determine if a number is odd or even. To use it, you need to install the package with npm and obtain an OpenAI API key, which you can then use to check if a number is odd with the isOdd(number) function.

Repo